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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2020/09/15 20:38:39 UTC

[GitHub] [incubator-tvm] ZihengJiang opened a new issue #6486: [WIP] TVM v0.7 Release Note Draft

ZihengJiang opened a new issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486


   # New Features
   
   ## Accelerator
   
   ## Ansor
   
   ## Frontend and User Interface
   
   ## Relay
   
   ## Runtime
   
   ## TIR
   
   ## Quantization
   
   # Feature Improvement
   
   # Performance Improvements
   
   # Documentation
   
   # Build and Tests
   
   # Bug Fixes
   
   # Known Issues
   
   # Deprecation


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698661678


   # Bug Fixes
   
   - Add bfloat16 typeflag support ([#4525](https://github.com/apache/incubator-tvm/pull/4525))
   - MSVC / Windows fixes ([#4455](https://github.com/apache/incubator-tvm/pull/4455), [#4569](https://github.com/apache/incubator-tvm/pull/4569))
   - Fix Makefile for howto_deploy ([#4457](https://github.com/apache/incubator-tvm/pull/4457/files))
   - Fix GCC 4.8 compact ([#4461](https://github.com/apache/incubator-tvm/pull/4461))
   - Fix search path to build libtvm_topi.so ([#4467](https://github.com/apache/incubator-tvm/pull/4467))
   - Fix for conv2d_transpose CUDA compilation ([#4472](https://github.com/apache/incubator-tvm/pull/4472))
   - Fix for LLVM 10.0 codegen ([#4480](https://github.com/apache/incubator-tvm/pull/4480), [#4515](https://github.com/apache/incubator-tvm/pull/4515))
   - Fix alter op layout when calling global var ([#4454](https://github.com/apache/incubator-tvm/pull/4454))
   - Fix float2half_rn support for cuda compute capabilities < 53 ([#4489](https://github.com/apache/incubator-tvm/pull/4489))
   - Fix compile errors for OpenCL backends ([#4492](https://github.com/apache/incubator-tvm/pull/4492))
   - Fix serialization precision loss ([#4503](https://github.com/apache/incubator-tvm/pull/4503))
   - Fix hybrid script to support array of tensors ([#4494](https://github.com/apache/incubator-tvm/pull/4494))
   - Fix annotation for multiply op ([#4458](https://github.com/apache/incubator-tvm/pull/4458))
   - Fix Dockerfile for linter CI ([#4506](https://github.com/apache/incubator-tvm/pull/4506))
   - Fix TF resize for dynamic size models ([#4510](https://github.com/apache/incubator-tvm/pull/4510))
   - Fix bias_add gradient ([#4516](https://github.com/apache/incubator-tvm/pull/4516))
   - Fix tanH unit test function call ([#4517](https://github.com/apache/incubator-tvm/pull/4517))
   - Fix extra reshape parameter for ONNX ([#4524](https://github.com/apache/incubator-tvm/pull/4524))
   - Fix crash caused by empty TOPI config ([#4520](https://github.com/apache/incubator-tvm/pull/4520))
   - Fix ONNX shape op type to use int64 ([#4528](https://github.com/apache/incubator-tvm/pull/4528))
   - Fix crash in TSIM virtual memory driver ([#4527](https://github.com/apache/incubator-tvm/pull/4527))
   - Replace deprecated python library in setup script ([#4533](https://github.com/apache/incubator-tvm/pull/4533))
   - Fix NMS max_output_size loop ([#4541](https://github.com/apache/incubator-tvm/pull/4541))
   - Fix style in IR mutator and IR visitor ([#4561](https://github.com/apache/incubator-tvm/pull/4561))
   - Fix compiler warning ([#4559](https://github.com/apache/incubator-tvm/pull/4559))
   - Fix to get end to end inference on Chisel VTA ([#4574](https://github.com/apache/incubator-tvm/pull/4574))
   - Fix LLVM build by adding missing intrinsics headers ([#4575](https://github.com/apache/incubator-tvm/pull/4575))
   - Fix context creation in quantization ([#4582](https://github.com/apache/incubator-tvm/pull/4582))
   - Fix NDArray SaveDLTensor signature ([#4586](https://github.com/apache/incubator-tvm/pull/4586))
   - Fix dense pack schedule for x86 ([#4539](https://github.com/apache/incubator-tvm/pull/4539))
   - Fix for broadcast tensor of scalar type ([#4577](https://github.com/apache/incubator-tvm/pull/4577))
   - Datatype refactor ([#4513](https://github.com/apache/incubator-tvm/pull/4513/files), [#4560](https://github.com/apache/incubator-tvm/pull/4560))
   - Add const qualifiers for NDArray container ([#4590](https://github.com/apache/incubator-tvm/pull/4590))
   - Fix TF <= 1.12 compatibility ([#4593](https://github.com/apache/incubator-tvm/pull/4593))
   - Fix for graph debug runtime ([#4598](https://github.com/apache/incubator-tvm/pull/4598/files))
   - Disable copy constructor for external codegen ([#4597](https://github.com/apache/incubator-tvm/pull/4597))
   - Make ADT tag signed ([#4605](https://github.com/apache/incubator-tvm/pull/4605))
   - Added declare of aluBits for TensorAlu [#4624](https://github.com/apache/incubator-tvm/issues/4624)
   - Get around limitation of g++-4.8 [#4626](https://github.com/apache/incubator-tvm/issues/4626)
   - Bugfix StmtMutator IfThenElse [#4609](https://github.com/apache/incubator-tvm/issues/4609)
   - Remove unecessary rdynamic [#4613](https://github.com/apache/incubator-tvm/issues/4613)
   - Resolve constexpr related link error in debug mode [#4641](https://github.com/apache/incubator-tvm/issues/4641)
   - Asymmetric padding [#4511](https://github.com/apache/incubator-tvm/issues/4511)
   - Reduce data size of asymmetric padding testcase [#4658](https://github.com/apache/incubator-tvm/issues/4658)
   - Fix Base64OutStream portability issue [#4668](https://github.com/apache/incubator-tvm/issues/4668)
   - Fix topi.nn.global_pool layout="NHWC" [#4656](https://github.com/apache/incubator-tvm/issues/4656)
   - Also package core.rly [#4679](https://github.com/apache/incubator-tvm/issues/4679)
   - `fskip` of EliminateCommonSubexpr cannot always return false [#4620](https://github.com/apache/incubator-tvm/issues/4620)
   - Fix Python syntax error in start_rpc_server_to_tracker.py [#4682](https://github.com/apache/incubator-tvm/issues/4682)
   - os.path --> osp to match the import [#4681](https://github.com/apache/incubator-tvm/issues/4681)
   - GitHub actions/checkout@v1 --> v2 [#4680](https://github.com/apache/incubator-tvm/issues/4680)
   - Fix Python syntax error AGAIN in start_rpc_server_to_tracker.py [#4685](https://github.com/apache/incubator-tvm/issues/4685)
   - Use ==/!= to compare str, bytes, and int literals [#4686](https://github.com/apache/incubator-tvm/issues/4686)
   - Rename start_rpc_server_to_tracker.py to start_rpc_server_to_tracker.sh [#4689](https://github.com/apache/incubator-tvm/issues/4689)
   - GitHub Action lint Python code for syntax errors [#4688](https://github.com/apache/incubator-tvm/issues/4688)
   - Generate blob use LLVM directly [#4657](https://github.com/apache/incubator-tvm/issues/4657)
   - Reduce input size to fix oom [#4653](https://github.com/apache/incubator-tvm/issues/4653)
   - Fix RemoveUnusedFunctions pass [#4700](https://github.com/apache/incubator-tvm/issues/4700)
   - Link the math library by default [#4713](https://github.com/apache/incubator-tvm/issues/4713)
   - Update mainline version to 0.7.dev0 [#4720](https://github.com/apache/incubator-tvm/issues/4720)
   - Add SizeVar representing non-neg valued variable in a tensor shape [#4684](https://github.com/apache/incubator-tvm/issues/4684)
   - Fix the compile problem of cpp_rpc [#4725](https://github.com/apache/incubator-tvm/issues/4725)
   - JSON upgrader to upgrade serialized json. [#4730](https://github.com/apache/incubator-tvm/issues/4730)
   - Fallback schedule for Int8 depthwise. [#4733](https://github.com/apache/incubator-tvm/issues/4733)
   - Fix dense x86 schedule [#4728](https://github.com/apache/incubator-tvm/issues/4728)
   - Fix demo dockerfile build failed [#4744](https://github.com/apache/incubator-tvm/issues/4744)
   - Improve CUDA vectorizer [#4736](https://github.com/apache/incubator-tvm/issues/4736)
   - Add .asf.yaml for github info [#4761](https://github.com/apache/incubator-tvm/issues/4761)
   - Fix padding in pooling op [#4738](https://github.com/apache/incubator-tvm/issues/4738)
   - Remove run_infer_type duplicates [#4766](https://github.com/apache/incubator-tvm/issues/4766)
   - [pooling.cc](http://pooling.cc/) improvements [#4767](https://github.com/apache/incubator-tvm/issues/4767)
   - Export builtin_fp16 on Windows [#4731](https://github.com/apache/incubator-tvm/issues/4731)
   - Fix Tensorflow conv3d pad bug, add non-cubic data and kernel tests [#4772](https://github.com/apache/incubator-tvm/issues/4772)
   - Bump prebuilt-image version in demo dockerfile [#4770](https://github.com/apache/incubator-tvm/issues/4770)
   - Update tune_simple_template.py [#4778](https://github.com/apache/incubator-tvm/issues/4778)
   - Explicitly link to cublasLt if it exists [#4776](https://github.com/apache/incubator-tvm/issues/4776)
   - Fix hasattr by extracting Python error type from Windows error message [#4780](https://github.com/apache/incubator-tvm/issues/4780)
   - Replace os.path.exists with try...except...else [#4784](https://github.com/apache/incubator-tvm/issues/4784)
   - Make sure to visit the arguments of inlined functions [#4783](https://github.com/apache/incubator-tvm/issues/4783)
   - Parse additional exception strings [#4785](https://github.com/apache/incubator-tvm/issues/4785)
   - Fix #4670: add bias for fc layer [#4801](https://github.com/apache/incubator-tvm/issues/4801)
   - Change color channel from BGR to RGB for darknet preprocessing [#4794](https://github.com/apache/incubator-tvm/issues/4794)
   - Fix -Wextra [#4804](https://github.com/apache/incubator-tvm/issues/4804)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/issues/4809)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/pull/4797)
   - Fixed subprocess creation under windows [#4820](https://github.com/apache/incubator-tvm/pull/4820)
   - Improve tol to resolve flaky case [#4836](https://github.com/apache/incubator-tvm/pull/4836)
   - Fixed process termination routine in windows [#4844](https://github.com/apache/incubator-tvm/pull/4844)
   - test_cuddn flaky [#4846](https://github.com/apache/incubator-tvm/pull/4846)
   - Mxnet parser for Qnn dialect [#4714](https://github.com/apache/incubator-tvm/pull/4714)
   - Enhance cc.cross_compiler [#4817](https://github.com/apache/incubator-tvm/pull/4817)
   - Fixed crash caused by reversing bitwise operations [#4852](https://github.com/apache/incubator-tvm/pull/4852)
   - Reverse some changes made for intel_graphics/conv2d.py in PR #4849 [#4853](https://github.com/apache/incubator-tvm/pull/4853)
   - const auto p -> const auto& p [#4861](https://github.com/apache/incubator-tvm/pull/4861)
   - Fix onnx import bugs [#4750](https://github.com/apache/incubator-tvm/pull/4750)
   - Explicit llvm::StringRef to std::string conversion [#4859](https://github.com/apache/incubator-tvm/pull/4859)
   - Update the runtime PackedFunc for module [#4871](https://github.com/apache/incubator-tvm/pull/4871)
   - Improve antlr import error message [#4888](https://github.com/apache/incubator-tvm/pull/4888)
   - Fix alpha_equal bug for attribute check [#4897](https://github.com/apache/incubator-tvm/pull/4897)
   - Fix issues in cuda codegen [#4876](https://github.com/apache/incubator-tvm/pull/4876)
   - Fixed: Bitwise ops on floats causing wrong code generation and crashes. [#4892](https://github.com/apache/incubator-tvm/pull/4892)
   - Fix tvm.target.generic_func runtime detection [#4910](https://github.com/apache/incubator-tvm/pull/4910)
   - topi/tests/python/test_topi_sort.py::test_argsort [#4891](https://github.com/apache/incubator-tvm/pull/4891)
   - Use opencv reisze method for preprocessing of image in darknet [#4883](https://github.com/apache/incubator-tvm/pull/4883)
   - Fix build breaks with StringRef changes [#4923](https://github.com/apache/incubator-tvm/pull/4923)
   - Remove unnecessary spliting in the cached chunk [#4935](https://github.com/apache/incubator-tvm/pull/4935)
   - Fixing an Infinite Loop case in UnmatchedChecker. [#4881](https://github.com/apache/incubator-tvm/pull/4881)
   - Remove SGX toolchain installation from CI Dockerfile [#4948](https://github.com/apache/incubator-tvm/pull/4948)
   - Fix tedd tutorial after strategy change [#4947](https://github.com/apache/incubator-tvm/pull/4947)
   - Allow customize MKLDNN library location [#4814](https://github.com/apache/incubator-tvm/pull/4814)
   - Added CopyFromBytes and CopyToBytes convenience methods to NDArray. Fixed typos. [#4970](https://github.com/apache/incubator-tvm/pull/4970)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Fix get_valid_count flaky test for cuda [#4901](https://github.com/apache/incubator-tvm/pull/4901)
   - Change Scala Linter scalafmt => scalastyle [#4998](https://github.com/apache/incubator-tvm/pull/4998)
   - Kill from tvm import te [#5007](https://github.com/apache/incubator-tvm/pull/5007)
   - Chisel fixes and de10nano support [#4986](https://github.com/apache/incubator-tvm/pull/4986)
   - Fix gpu not found when running TVM docker [#4975](https://github.com/apache/incubator-tvm/pull/4975)
   - Fixes for pylint==2.4.4 [#4849](https://github.com/apache/incubator-tvm/pull/4849)
   - Fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Early checking added and new test cases added for schedule fuse [#5010](https://github.com/apache/incubator-tvm/pull/5010)
   - Fixed div by zero core dump. Fixed rounding intrinsics on int crash [#5026](https://github.com/apache/incubator-tvm/pull/5026)
   - Test case modified for int type [#5012](https://github.com/apache/incubator-tvm/pull/5012)
   - Bug Fix for ARM CPUs. Lower strict assumption. [#5063](https://github.com/apache/incubator-tvm/pull/5063)
   - Triage the testcases to fit the the new namespaces [#5071](https://github.com/apache/incubator-tvm/pull/5071)
   - Add colors to compute_at edges and thread/block indices. [#5111](https://github.com/apache/incubator-tvm/pull/5111)
   - Temporary fix to the stack overflow issue in autotvm task extraction [#5019](https://github.com/apache/incubator-tvm/pull/5019)
   - Fix compilation of If-Elses [#5040](https://github.com/apache/incubator-tvm/pull/5040)
   - Fix CompilerAttrs [#5109](https://github.com/apache/incubator-tvm/pull/5109)
   - Fix the existing test cases before refactoring. [#5122](https://github.com/apache/incubator-tvm/pull/5122)
   - Fixed bug where shifting by out-of-bounds value results in no compute code being emitted. [#5115](https://github.com/apache/incubator-tvm/pull/5115)
   - Fix for issue #4831. The data_min_idx and data_max_idx were flipped. [#5136](https://github.com/apache/incubator-tvm/pull/5136)
   - Duplicate likely nodes added when loop axis split unevenly [#5084](https://github.com/apache/incubator-tvm/pull/5084)
   - Fix incorrect name of calibration mode [#5150](https://github.com/apache/incubator-tvm/pull/5150)
   - Remove contrib spatial pack schedule of depthwise convolution [#5148](https://github.com/apache/incubator-tvm/pull/5148)
   - Fix annotate pass static variable [#5023](https://github.com/apache/incubator-tvm/pull/5023)
   - Fixed ConvTranspose2D parsing [#5157](https://github.com/apache/incubator-tvm/pull/5157)
   - Nullptr check [#5176](https://github.com/apache/incubator-tvm/pull/5176)
   - rocm: fix miopen convolutions [#5179](https://github.com/apache/incubator-tvm/pull/5179)
   - rocm: fix dense_rocblas in strategy, topi [#5191](https://github.com/apache/incubator-tvm/pull/5191)
   - Bugfix in tensorflow space_to_batch_nd [#5175](https://github.com/apache/incubator-tvm/pull/5175)
   - Fix CRT static test bug ([#5293](https://github.com/apache/incubator-tvm/pull/5293))
   - Fix perf regression of tir refactor ([#5258](https://github.com/apache/incubator-tvm/pull/5258))
   - Bugfix in tensorflow space_to_batch_nd ([#5175](https://github.com/apache/incubator-tvm/pull/5175))
   - Compilation warnings fixed for 32bit and 64bit compilation ([#5349](https://github.com/apache/incubator-tvm/pull/5349))
   - Fix hang in MergeCompilerRegions ([#5227](https://github.com/apache/incubator-tvm/pull/5227))
   - Fixes to MergeCompilerRegions ([#5195](https://github.com/apache/incubator-tvm/pull/5195))
   - Fix generation of LLVM intrinsics ([#5282](https://github.com/apache/incubator-tvm/pull/5282))
   - Fix setting up hints for getaddrinfo ([#2872](https://github.com/apache/incubator-tvm/pull/2872))
   - Add ConstantNode to IsAtomic ([#5457](https://github.com/apache/incubator-tvm/pull/5457))
   - Fix String SEqual ([#5275](https://github.com/apache/incubator-tvm/pull/5275))
   - Fix fuse over functions that are handled by external codegen ([#5365](https://github.com/apache/incubator-tvm/pull/5365))
   - Fix memory leak when accessing NDArray ([#5413](https://github.com/apache/incubator-tvm/pull/5413))
   - Remove the duplicate PrintIR pass in Relay ([#5403](https://github.com/apache/incubator-tvm/pull/5403))
   - Fix lower_warp_memory ([#5247](https://github.com/apache/incubator-tvm/pull/5247))
   - Fix lower_warp_memory when there are >1 warp buffers ([#5368](https://github.com/apache/incubator-tvm/pull/5368))
   - Fix intel conv2d auto tune ([#5200](https://github.com/apache/incubator-tvm/pull/5200))
   - Fix FuseBatchNorm output cast error if need_cast is True [#4894](https://github.com/apache/incubator-tvm/pull/4894)
   - Fix an assertion exposed by loop vectorizer [#4916](https://github.com/apache/incubator-tvm/pull/4916)
   - Fix error message [#4945](https://github.com/apache/incubator-tvm/pull/4945)
   - Fix for recursive let [#5757](https://github.com/apache/incubator-tvm/pull/5757)
   - Fix Calibration Pass to Support Modules with Multiple Functions [#5768](https://github.com/apache/incubator-tvm/pull/5768)
   - Fix what looks like bizzare copy-paste issue [#6010](https://github.com/apache/incubator-tvm/pull/6010)
   - Fix bug in transpose_shape_func [#6180](https://github.com/apache/incubator-tvm/pull/6180)
   - Fix bugs in CUDA codegen ([#5209](https://github.com/apache/incubator-tvm/pull/5209))
   - Don’t remove() TemporaryFile in **del**. ([#5414](https://github.com/apache/incubator-tvm/pull/5414))
   - Fix test_ir_type. ([#5390](https://github.com/apache/incubator-tvm/pull/5390))
   - Fix multiple identical inputs bug ([#5389](https://github.com/apache/incubator-tvm/pull/5389))
   - Add cuda target check to dense tensorcore schedule. ([#5376](https://github.com/apache/incubator-tvm/pull/5376))
   - T2 test fixups ([#5391](https://github.com/apache/incubator-tvm/pull/5391))
   - Fix miopen padding ([#5433](https://github.com/apache/incubator-tvm/pull/5433))
   - Misc fixes for ROCm ([#5431](https://github.com/apache/incubator-tvm/pull/5431))
   - Fix copy constructor (#5237)
   - Corrected TVM autotuning on GPU ([#5432](https://github.com/apache/incubator-tvm/pull/5432))
   - Fix vector load ([#5226](https://github.com/apache/incubator-tvm/pull/5226))
   - Minor bugfix in message_passing.cc ([#5254](https://github.com/apache/incubator-tvm/pull/5254))
   - Fix a bug when vectorized load&store was involved for… ([#5428](https://github.com/apache/incubator-tvm/pull/5428))
   - Fix to skip node not in graph. ([#5238](https://github.com/apache/incubator-tvm/pull/5238))
   - Fix [#5388](https://github.com/apache/incubator-tvm/pull/5388) [RUNTIME][VULKAN] vkBuffer released before memory copy command se… ([#5418](https://github.com/apache/incubator-tvm/pull/5418))
   - Fix a minor error in device_annotation ([#5291](https://github.com/apache/incubator-tvm/pull/5291))
   - Fix scalar’s ndim is 0 ([#5344](https://github.com/apache/incubator-tvm/pull/5344))
   - Fix the runtime raise error [#5586](https://github.com/apache/incubator-tvm/pull/5586)
   - Fixed bug in attribute parsing for pool layers. #[5582](https://github.com/apache/incubator-tvm/pull/5582)
   - AutoTVM incorrect measurement [#5511](https://github.com/apache/incubator-tvm/pull/5511)
   - fix a min/max simplify bug [#5761](https://github.com/apache/incubator-tvm/pull/5761)
   - Rename tvm_dso_op to libtvm_dso_op [#5714](https://github.com/apache/incubator-tvm/pull/5714)
   - Fix generating types like float44 and float88 [#5722](https://github.com/apache/incubator-tvm/pull/5722)
   - Avoid downloading when TOPHUB_LOCATION is NONE [#5720](https://github.com/apache/incubator-tvm/pull/5720)
   - codegen llvm: move nvptx-specific intrinsic handling into codegen_nvptx [#5726](https://github.com/apache/incubator-tvm/pull/5726)
   - ROCm warp shuffles and reductions [#5727](https://github.com/apache/incubator-tvm/pull/5727)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Clarify downstream consistency of TVMArgTypeCode [#5742](https://github.com/apache/incubator-tvm/pull/5742)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - Make batch matrix multiplication on GPU tunable [#5752](https://github.com/apache/incubator-tvm/pull/5752)
   - update vulkan build rule [#5777](https://github.com/apache/incubator-tvm/pull/5777)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - Edit onnx parser to infer values in post order [#5755](https://github.com/apache/incubator-tvm/pull/5755)
   - Support symbolic inputs of Fill [#5762](https://github.com/apache/incubator-tvm/pull/5762)
   - support aten::type_as in the pytorch frontend [#5787](https://github.com/apache/incubator-tvm/pull/5787)
   - Temporary disable fp16 type_as test for PyTorch Frontend [#5799](https://github.com/apache/incubator-tvm/pull/5799)
   - Add config switch for nn.dense layer type. [#5801](https://github.com/apache/incubator-tvm/pull/5801)
   - Move cpu-only frontend tests to a CPU stage [#5807](https://github.com/apache/incubator-tvm/pull/5807)
   - Pin hand landmark network to version 0.7.4. [#5813](https://github.com/apache/incubator-tvm/pull/5813)
   - Limit number of threads in all jobs [#5815](https://github.com/apache/incubator-tvm/pull/5815)
   - Error msg update [#5818](https://github.com/apache/incubator-tvm/pull/5818)
   - fix relay.build to not change the module argument in place [#5822](https://github.com/apache/incubator-tvm/pull/5822)
   - Fix InferType when module contains Prelude [#5797](https://github.com/apache/incubator-tvm/pull/5797)
   - Add a combine batch_matmul pass [#5791](https://github.com/apache/incubator-tvm/pull/5791)
   - RepeatVector, Conv3DTranspose op support added [#5833](https://github.com/apache/incubator-tvm/pull/5833)
   - Fix converting serialized quantized models [#5839](https://github.com/apache/incubator-tvm/pull/5839)
   - ffi (Object): make class dict visible in instances [#5843](https://github.com/apache/incubator-tvm/pull/5843)
   - Additional canonicalization added for AddNode [#5846](https://github.com/apache/incubator-tvm/pull/5846)
   - Suppress the warning messages when compile engine selects impls [#5821](https://github.com/apache/incubator-tvm/pull/5821)
   - fix #5849 [#5851](https://github.com/apache/incubator-tvm/pull/5851)
   - Introduce POD-C Compliant tvm::Map [#5740](https://github.com/apache/incubator-tvm/pull/5740)
   - Add bfloat16 [#5601](https://github.com/apache/incubator-tvm/pull/5601)
   - Add Python Classes for all Attrs [#5853](https://github.com/apache/incubator-tvm/pull/5853)
   - Fix map assign issue in CI test [#5854](https://github.com/apache/incubator-tvm/pull/5854)
   - Introduce Target Id Registry [#5838](https://github.com/apache/incubator-tvm/pull/5838)
   - Update has_dtype/has_shape to pattern lang doc [#5847](https://github.com/apache/incubator-tvm/pull/5847)
   - Add nn.batch_flatten as quantizable. [#5805](https://github.com/apache/incubator-tvm/pull/5805)
   - Fail early before running invalid dynamic graphs [#5856](https://github.com/apache/incubator-tvm/pull/5856)
   - Improve type handling in PyTorch frontend [#5834](https://github.com/apache/incubator-tvm/pull/5834)
   - HotFix the python intrin rule [#5895](https://github.com/apache/incubator-tvm/pull/5895)
   - add a few gradients [#5899](https://github.com/apache/incubator-tvm/pull/5899)
   - Add Binary Intrinsic ops to TIR Ops in C++ [#5900](https://github.com/apache/incubator-tvm/pull/5900)
   - Allow implicit conversion in TVM FFI to tvm::Bool [#5907](https://github.com/apache/incubator-tvm/pull/5907)
   - PyTorch frontend: fix handling of duplicate use of a model weight [#5897](https://github.com/apache/incubator-tvm/pull/5897)
   - Don’t multiply by constant 1 uselessly in dense [#5911](https://github.com/apache/incubator-tvm/pull/5911)
   - Support any index matching for TupleGetItem [#5909](https://github.com/apache/incubator-tvm/pull/5909)
   - Add MicroTVM tutorial using the STM32F746 discovery board [#5655](https://github.com/apache/incubator-tvm/pull/5655)
   - Fix serialization of inf float value [#5912](https://github.com/apache/incubator-tvm/pull/5912)
   - Fix CPU Thread Binding for Multiple Sockets [#5918](https://github.com/apache/incubator-tvm/pull/5918)
   - CUDA device API & VerifyGPUCode pass update [#5898](https://github.com/apache/incubator-tvm/pull/5898)
   - Update install.rst [#5858](https://github.com/apache/incubator-tvm/pull/5858)
   - Two small fixes to AMDCPU codegen for LLVM 10+ and ROCm 3.5+ [#5920](https://github.com/apache/incubator-tvm/pull/5920)
   - Add LegalizeInvalidAttach to legalize the compute_at location after split or fuse [#591](https://github.com/apache/incubator-tvm/pull/5917)
   - Don’t rewrite expressions used outside of the pattern [#5930](https://github.com/apache/incubator-tvm/pull/5930)
   - Add TupleGetItem to CSE [#5931](https://github.com/apache/incubator-tvm/pull/5931)
   - Various update for CoreML codegen [#5934](https://github.com/apache/incubator-tvm/pull/5934)
   - Update date in the NOTICE [#5943](https://github.com/apache/incubator-tvm/pull/5943)
   - Raise right error in tensorflow split op [#5951](https://github.com/apache/incubator-tvm/pull/5951)
   - Add rm xla attributes in tf docs [#5950](https://github.com/apache/incubator-tvm/pull/5950)
   - Fix OpenCL get_valid_counts errors due to intrinsic atomic_add [#5857](https://github.com/apache/incubator-tvm/pull/5857)
   - Amendments for gradients [#5941](https://github.com/apache/incubator-tvm/pull/5941)
   - Fix the meaning of conv{1,2}d_transpose output_padding parameter. [#5758](https://github.com/apache/incubator-tvm/pull/5758)
   - Make first order gradient graphs more efficient [#5959](https://github.com/apache/incubator-tvm/pull/5959)
   - Raise an exception when extern function does not return Stmt [#5964](https://github.com/apache/incubator-tvm/pull/5964)
   - Improve docker/bash.sh to handle git worktrees [#5970](https://github.com/apache/incubator-tvm/pull/5970)
   - Install DNNL (OneDNN) to CI Environment [#5936](https://github.com/apache/incubator-tvm/pull/5936)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Add meshgrid op in Relay, TOPI, Pytorch frontend [#5961](https://github.com/apache/incubator-tvm/pull/5961)
   - Print right number of parentheses for LoadNode [#5965](https://github.com/apache/incubator-tvm/pull/5965)
   - Migrate data structure of TargetNode [#5960](https://github.com/apache/incubator-tvm/pull/5960)
   - Remove redundant function CreateBufferVecPtr [#5982](https://github.com/apache/incubator-tvm/pull/5982)
   - Fix string argument mismatch in GraphRuntimeCodegen [#5933](https://github.com/apache/incubator-tvm/pull/5933)
   - VectorType::get with two parameters is deprecated in LLVM 11+ [#5984](https://github.com/apache/incubator-tvm/pull/5984)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Fix building with LLVM-10 on macOS [#5859](https://github.com/apache/incubator-tvm/pull/5859)
   - Add cuda 11 to contrib.nvcc.find_libdevice_path() [#5902](https://github.com/apache/incubator-tvm/pull/5902)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Fix recursive let for well formed check [#5780](https://github.com/apache/incubator-tvm/pull/5780)
   - Recover global state after test_util.py [#5824](https://github.com/apache/incubator-tvm/pull/5824)
   - Fix bug in rpc ring buffer shrink [#5516](https://github.com/apache/incubator-tvm/pull/5516)
   - Fix remote device sync [#5538](https://github.com/apache/incubator-tvm/pull/5538)
   - Fix bug in rpc ring buffer shrink (#5516) [#5537](https://github.com/apache/incubator-tvm/pull/5537)
   - RPC Server error fix on Pynq FPGA [#5607](https://github.com/apache/incubator-tvm/pull/5607)
   - Fix FloorMod Simplifier [#5509](https://github.com/apache/incubator-tvm/pull/5509)
   - Fix Python debugger segfaults with TVM built with LLVM [#5685](https://github.com/apache/incubator-tvm/pull/5685)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Make "none" DataType explicit [#5491](https://github.com/apache/incubator-tvm/pull/5491)
   - Change "scalar" and "stack" in IDL from "inrout" to "in" [#5487](https://github.com/apache/incubator-tvm/pull/5487)
   - Link necessary libraries when building runtime for Android [#5496](https://github.com/apache/incubator-tvm/pull/5496)
   - Fixes for wasm32 target [#5489](https://github.com/apache/incubator-tvm/pull/5489)
   - Reset target and wait for runtime initialization on connect. [#5499](https://github.com/apache/incubator-tvm/pull/5499)
   - Bump tophub rocm version [#5504](https://github.com/apache/incubator-tvm/pull/5504)
   - Improve commentary for RingBuffer [#5518](https://github.com/apache/incubator-tvm/pull/5518)
   - Add unit tests for ONNX PRelu and fix importer to pass them. [#5521](https://github.com/apache/incubator-tvm/pull/5521)
   - LRN only supports 4D tensors, remove it from alter_op_layout [#5520](https://github.com/apache/incubator-tvm/pull/5520)
   - Fix an issue with ONNX Upsample [#5530](https://github.com/apache/incubator-tvm/pull/5530)
   - Cache PrimExpr instead of raw pointers in bound analyzer [#5533](https://github.com/apache/incubator-tvm/pull/5533)
   - fix a few bugs with shape inference and types in the ONNX importer [#5534](https://github.com/apache/incubator-tvm/pull/5534)
   - Add Onnx Pad v11 [#5539](https://github.com/apache/incubator-tvm/pull/5539)
   - Changes to cpp_rpc to make it work on Android (+ Hexagon offloading) [#5535](https://github.com/apache/incubator-tvm/pull/5535)
   - Fix to reduce RAM size during loading model [#5507](https://github.com/apache/incubator-tvm/pull/5507)
   - Fix MakeLoopNest for warp memory [#5382](https://github.com/apache/incubator-tvm/pull/5382)
   - Load platform specific lib for tvmdsoop instead of the hard-coded tvm_dso_op.so [#5542](https://github.com/apache/incubator-tvm/pull/5542)
   - Add tests for running micro on native arm hardware [#5546](https://github.com/apache/incubator-tvm/pull/5546)
   - Apparently, ONNX Conv with no 'pads' defaults to zero padding [#5548](https://github.com/apache/incubator-tvm/pull/5548)
   - clang-format the h,cc,m files. [#5557](https://github.com/apache/incubator-tvm/pull/5557)
   - Fix conv2d alter op for arm cpu [#5532](https://github.com/apache/incubator-tvm/pull/5532)
   - Fix topi test (/topi/tests/python/test_topi_conv2d_nhwc_winograd.py) for non tensorcore CI. [#5563](https://github.com/apache/incubator-tvm/pull/5563)
   - Add clang-format and nodejs to ci-lint [#5567](https://github.com/apache/incubator-tvm/pull/5567)
   - Enable clang-format. [#5572](https://github.com/apache/incubator-tvm/pull/5572)
   - Allow ubuntu_install_darknet.sh to work in both 18.04 and 16.04 [#5574](https://github.com/apache/incubator-tvm/pull/5574)
   - Add a quantized conv2 unit test for the tflite front-end [#5558](https://github.com/apache/incubator-tvm/pull/5558)
   - Fix JSON graph dumping. [#5591](https://github.com/apache/incubator-tvm/pull/5591)
   - Warp level reduction support for CUDA [#5498](https://github.com/apache/incubator-tvm/pull/5498)
   - One more fix for concurrency count [#5589](https://github.com/apache/incubator-tvm/pull/5589)
   - Improve robustness of the docs build [#5583](https://github.com/apache/incubator-tvm/pull/5583)
   - Phase out WebGL [#5570](https://github.com/apache/incubator-tvm/pull/5570)
   - Fix vulkansdk in the ci-gpu and upgrade to 1.2.135 [#5566](https://github.com/apache/incubator-tvm/pull/5566)
   - Update ci-cpu to bionic [#5554](https://github.com/apache/incubator-tvm/pull/5554)
   - Overestimate binary size for microTVM compiled binaries. [#5590](https://github.com/apache/incubator-tvm/pull/5590)
   - Fix bug and re-enable RPC execution test [#5436](https://github.com/apache/incubator-tvm/pull/5436)
   - Add ostream formatters for TargetPtr/TargetVal. [#5592](https://github.com/apache/incubator-tvm/pull/5592)
   - Fix cross thread reduction [#5551](https://github.com/apache/incubator-tvm/pull/5551)
   - Fix TVMArray layout on device [#5599](https://github.com/apache/incubator-tvm/pull/5599)
   - Add debug mode to tempdir() [#5581](https://github.com/apache/incubator-tvm/pull/5581)
   - Represent alignment information in LLVM IR [#5598](https://github.com/apache/incubator-tvm/pull/5598)
   - Fix codegen for warp shuffle intrinsics [#5606](https://github.com/apache/incubator-tvm/pull/5606)
   - Fix Topological Order calculation for DFPattern Language [#5612](https://github.com/apache/incubator-tvm/pull/5612)
   - Global MaxPool3d and AvgPool3d support [#5098](https://github.com/apache/incubator-tvm/pull/5098)
   - Fix build error of iOS RPC [#5621](https://github.com/apache/incubator-tvm/pull/5621)
   - isn't a CallNode sometimes [#5623](https://github.com/apache/incubator-tvm/pull/5623)
   - Introduce config to PassContext. [#5631](https://github.com/apache/incubator-tvm/pull/5631)
   - CMAKE fix [#5630](https://github.com/apache/incubator-tvm/pull/5630)
   - Label Pattern Partitions [#5627](https://github.com/apache/incubator-tvm/pull/5627)
   - Extend AttrPattern to support CallNode and FunctionNode attributes [#5637](https://github.com/apache/incubator-tvm/pull/5637)
   - Increase bss section size. [#5660](https://github.com/apache/incubator-tvm/pull/5660)
   - Add buffer name when creating tensor bindings [#5670](https://github.com/apache/incubator-tvm/pull/5670)
   - µtvm debug improvements [#5648](https://github.com/apache/incubator-tvm/pull/5648)
   - enable amd_apu device on vulkan target [#5659](https://github.com/apache/incubator-tvm/pull/5659)
   - Support TupleWrapper as direct ancestor of control flow ops [#5639](https://github.com/apache/incubator-tvm/pull/5639)
   - add tvm.micro pydoc to sphinx [#5661](https://github.com/apache/incubator-tvm/pull/5661)
   - Add a regression testcase for #5674 [#5677](https://github.com/apache/incubator-tvm/pull/5677)
   - Fix C++ RPC build problem on Linux [#5671](https://github.com/apache/incubator-tvm/pull/5671)
   - Add a check Callback to the Pattern Paritioner [#5646](https://github.com/apache/incubator-tvm/pull/5646)
   - Call previous excepthook in tvm_excepthook. [#5675](https://github.com/apache/incubator-tvm/pull/5675)
   - Fix the shift column for scale_shift_nchw and scale_shift_nhwc in C topi [#5679](https://github.com/apache/incubator-tvm/pull/5679)
   - Support more dtypes for TVMDSOOp [#5694](https://github.com/apache/incubator-tvm/pull/5694)
   - In memory_plan, check if value is not None, instead of just checking value as boolean. [#5700](https://github.com/apache/incubator-tvm/pull/5700)
   - Fix flaky test_topi_pooling.py:test_adaptive_pool [#5736](https://github.com/apache/incubator-tvm/pull/5736)
   - Fix the values for test_fmod since it fails way too often otherwise [#5723](https://github.com/apache/incubator-tvm/pull/5723)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Clean WASM environment before build [#5759](https://github.com/apache/incubator-tvm/pull/5759)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - fix #5686: remove a overstrict assert in MakeAllreduce (#5686) [#5785](https://github.com/apache/incubator-tvm/pull/5785)
   - Improve Pattern Language Docs [#5676](https://github.com/apache/incubator-tvm/pull/5676)
   - Add missing expr visitor for any [#6082](https://github.com/apache/incubator-tvm/pull/6082)
   - Remove the tvm web from version update [#6122](https://github.com/apache/incubator-tvm/pull/6122)
   - Clear relay cache after every build & Clear warning message cache after autotvm task extraction [#6131](https://github.com/apache/incubator-tvm/pull/6131)
   - avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Use LocalRunner by default in the tutorial tune_relay_cuda.py [#6001](https://github.com/apache/incubator-tvm/pull/6001)
   - Undefined names: import os for line 324 & import re for line 308 [#6003](https://github.com/apache/incubator-tvm/pull/6003)
   - GitHub Actions upgrade to actions/setup-python@v2 [#6002](https://github.com/apache/incubator-tvm/pull/6002)
   - Only pass pythonpath for ci images [#6005](https://github.com/apache/incubator-tvm/pull/6005)
   - Auto-convert shuffle with single index to “extract element” [#6006](https://github.com/apache/incubator-tvm/pull/6006)
   - Cache object refs in loop partitioner instead of object pointers [#6004](https://github.com/apache/incubator-tvm/pull/6004)
   - Fix test_arith_solve_linear_inequality.py::test_multi_equal [#6014](https://github.com/apache/incubator-tvm/pull/6014)
   - MXNet frontend support for AMP cast op [#5976](https://github.com/apache/incubator-tvm/pull/5976)
   - Demo showing how to run a pruned model. [#5975](https://github.com/apache/incubator-tvm/pull/5975)
   - Move compiler related registry items to vta/build_module.py [#6012](https://github.com/apache/incubator-tvm/pull/6012)
   - Pin keras version [#6032](https://github.com/apache/incubator-tvm/pull/6032)
   - Fix in arm_cpu/conv2d_alter_op for NHWC quantized [#6027](https://github.com/apache/incubator-tvm/pull/6027)
   - Add creation of Hexagon device in RPC client [#6035](https://github.com/apache/incubator-tvm/pull/6035)
   - Terminate basic block after “ret” instruction [#6036](https://github.com/apache/incubator-tvm/pull/6036)
   - µTVM CRT modifications for on-device RPC server [#5921](https://github.com/apache/incubator-tvm/pull/5921)
   - Create TBAA information based on the unrelying buffer type [#6046](https://github.com/apache/incubator-tvm/pull/6046)
   - Add support for tflite arg_min and arg_max [#5992](https://github.com/apache/incubator-tvm/pull/5992)
   - Fix fully_connected converter when batch size is not 1 [#6038](https://github.com/apache/incubator-tvm/pull/6038)
   - Fix a primitive check error [#5991](https://github.com/apache/incubator-tvm/pull/5991)
   - Refactor to expose MakeOp functions to C++ [#6047](https://github.com/apache/incubator-tvm/pull/6047)
   - Fix conv2_gemm after target structure update [#6037](https://github.com/apache/incubator-tvm/pull/6037)
   - Remove use of designated initializers from hexagon_module.cc [#6055](https://github.com/apache/incubator-tvm/pull/6055)
   - Build crttest and cpptest separately. [#6057](https://github.com/apache/incubator-tvm/pull/6057)
   - Fix pytorch frontend prim::Constant issue [#6051](https://github.com/apache/incubator-tvm/pull/6051)
   - update frontend tutorials to new model based runtime interface [#6063](https://github.com/apache/incubator-tvm/pull/6063)
   - Remove unnecessary std::cout [#6072](https://github.com/apache/incubator-tvm/pull/6072)
   - Fix error message in Buffer::vstore, NFC [#6056](https://github.com/apache/incubator-tvm/pull/6056)
   - Fix FSIM Compile Error. [#6070](https://github.com/apache/incubator-tvm/pull/6070)
   - Improve vector simplification for float operands [#6043](https://github.com/apache/incubator-tvm/pull/6043)
   - Fix LocalBuilder on macOS with python 3.8. [#6083](https://github.com/apache/incubator-tvm/pull/6083)
   - Add missing test for fast erf [#6058](https://github.com/apache/incubator-tvm/pull/6058)
   - Fixed point multiplication improvements for AArch64 [#5980](https://github.com/apache/incubator-tvm/pull/5980)
   - Fix code generation bugs for C/CUDA & Improve VerifyGPUCode pass [#6041](https://github.com/apache/incubator-tvm/pull/6041)
   - Delete declaration of unused op_node [#6102](https://github.com/apache/incubator-tvm/pull/6102)
   - Load configs even it has no entity [#6100](https://github.com/apache/incubator-tvm/pull/6100)
   - Update SGX example Cargo.toml [#6067](https://github.com/apache/incubator-tvm/pull/6067)
   - Add default value for option USE_DNNL_CODEGEN in the cmake [#6099](https://github.com/apache/incubator-tvm/pull/6099)
   - Update installation doc with minor improvements [#6104](https://github.com/apache/incubator-tvm/pull/6104)
   - lint: add opencl .cl file type [#6092](https://github.com/apache/incubator-tvm/pull/6092)
   - Clean up conversions between TVM and Rust functions [#6114](https://github.com/apache/incubator-tvm/pull/6114)
   - Improve reduction schedule on arm CPUs [#6110](https://github.com/apache/incubator-tvm/pull/6110)
   - Register Shape Func for Some Operators to Handle Dynamic Shapes [#5955](https://github.com/apache/incubator-tvm/pull/5955)
   - Fix variable name conflict with OpenCL keyword [#6048](https://github.com/apache/incubator-tvm/pull/6048)
   - Some rust cleanups [#6116](https://github.com/apache/incubator-tvm/pull/6116)
   - Option to specify alternate directory to output build to [#6016](https://github.com/apache/incubator-tvm/pull/6016)
   - Add ‘get_num_inputs’ to GraphRuntime [#6118](https://github.com/apache/incubator-tvm/pull/6118)
   - TFLite quantized conv test [#6084](https://github.com/apache/incubator-tvm/pull/6084)
   - Fix autotvm on the conv2d_nchw_winograd.mali operator [#6130](https://github.com/apache/incubator-tvm/pull/6130)
   - add attr option mfloat-abi for arm32 [#6123](https://github.com/apache/incubator-tvm/pull/6123)
   - Fix CUDA Library Tuning [#6132](https://github.com/apache/incubator-tvm/pull/6132)
   - Add missing RPC sources after refactor [#6113](https://github.com/apache/incubator-tvm/pull/6113)
   - Correct runtime.load_module [#6161](https://github.com/apache/incubator-tvm/pull/6161)
   - Improve error messages in graph tuner, graph runtime, and module loader. [#6148](https://github.com/apache/incubator-tvm/pull/6148)
   - Fix some shape mismatches between TF and Relay [#6166](https://github.com/apache/incubator-tvm/pull/6166)
   - Improve doc string [#6176](https://github.com/apache/incubator-tvm/pull/6176)
   - Fix incorrect function signature in header [#6172](https://github.com/apache/incubator-tvm/pull/6172)
   - Fix alignment of note [#6181](https://github.com/apache/incubator-tvm/pull/6181)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223))
   - Avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Added casting to hybrid script doc and fixed pass infra doc [#6174](https://github.com/apache/incubator-tvm/pull/6174)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   - Fix cuda half math function is undefined: hpow, htanh [#6225](https://github.com/apache/incubator-tvm/pull/6225)
   - Fix division range estimation error in simplifier [#6244](https://github.com/apache/incubator-tvm/pull/6244)
   - Fix newer GCC compiler warnings. [#6257](https://github.com/apache/incubator-tvm/pull/6257)
   - Support _contrib_SyncBatchNorm [#6245](https://github.com/apache/incubator-tvm/pull/6245)
   - Fix reduction [#6250](https://github.com/apache/incubator-tvm/pull/6250)
   - Add apt repository for clang-11 and llvm-11 [#6256](https://github.com/apache/incubator-tvm/pull/6256)
   - Update tutorial to new TARGET as micro_dev is no more [#6262](https://github.com/apache/incubator-tvm/pull/6262)
   - Fix clang-format [#6264](https://github.com/apache/incubator-tvm/pull/6264)
   - Trivial fix, up the rodata section for the discovery board to 512 bytes. [#6259](https://github.com/apache/incubator-tvm/pull/6259)
   - Fix cuda half math function is undefined: hpow, htanh [#6253](https://github.com/apache/incubator-tvm/pull/6253)
   - Add dilation in x86 NCHWc depthwise conv support [#6267](https://github.com/apache/incubator-tvm/pull/6267)
   - Decrease test times by introducing testing model [#6235](https://github.com/apache/incubator-tvm/pull/6235)
   - Add support for parsing the any dimension. [#6277](https://github.com/apache/incubator-tvm/pull/6277)
   - Improve error messages for memory verifier and gpu memory verifier [#6281](https://github.com/apache/incubator-tvm/pull/6281)
   - Reflect Compile-Time CMake Options into [libtvm.so](http://libtvm.so/) [#6280](https://github.com/apache/incubator-tvm/pull/6280)
   - Add cmake options into libinfo [#6286](https://github.com/apache/incubator-tvm/pull/6286)
   - Update slice to infer attributes when not graph inputs [#6276](https://github.com/apache/incubator-tvm/pull/6276)
   - Use rpc.LocalSession for simple tests [#6294](https://github.com/apache/incubator-tvm/pull/6294)
   - Fix random fail [#6312](https://github.com/apache/incubator-tvm/pull/6312)
   - Fix resize test [#6298](https://github.com/apache/incubator-tvm/pull/6298)
   - Fix cython FFI compact with np.int64 [#6321](https://github.com/apache/incubator-tvm/pull/6321)
   - Fix relay vm optimize [#6322](https://github.com/apache/incubator-tvm/pull/6322)
   - Changed TVMCTVMContext to TVMContext [#6306](https://github.com/apache/incubator-tvm/pull/6306)
   - Make able to compile with MSVC [#6341](https://github.com/apache/incubator-tvm/pull/6341)
   - ROCm changed name of library and removed the old one in ROCm 3.7 release. [#6345](https://github.com/apache/incubator-tvm/pull/6345)
   - Compatible for ROCm before 3.7 [#6359](https://github.com/apache/incubator-tvm/pull/6359)
   - Use clear name that is separate from ASF brand for cache [#6360](https://github.com/apache/incubator-tvm/pull/6360)
   - Fix Dockerfile.demo_android [#6361](https://github.com/apache/incubator-tvm/pull/6361)
   - Fx sparse dense schedule on cuda [#5803](https://github.com/apache/incubator-tvm/pull/5803)
   - Fix strategy for sparse dense cuda [#5782](https://github.com/apache/incubator-tvm/pull/5782)
   - Fix x86 conv2d template when tuning with unpacked layout [#5938](https://github.com/apache/incubator-tvm/pull/5938)
   - Fix the filter width parameter in depthwise_conv2d [#6081](https://github.com/apache/incubator-tvm/pull/6081)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Missing header [#4865](https://github.com/apache/incubator-tvm/pull/4865)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   
   # Known Issues
   
   # Deprecation
   
   - Deprecating NNVM ([#4535](https://github.com/apache/incubator-tvm/pull/4535), [#4562](https://github.com/apache/incubator-tvm/pull/4562), [#4565](https://github.com/apache/incubator-tvm/pull/4565), [#4571](https://github.com/apache/incubator-tvm/pull/4571))
   - Deprecate FreeStmt [#5890](https://github.com/apache/incubator-tvm/pull/5890)
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - Deprecate OpenGL [#5711](https://github.com/apache/incubator-tvm/pull/5711), [#5712](https://github.com/apache/incubator-tvm/pull/5712)


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698661521


   # Performance Improvements
   
   - Int8 GEMM performance enhancement using Cublas ([#4550](https://github.com/apache/incubator-tvm/pull/4550))
   - Speedup TSIM with multi-threading ([#4491](https://github.com/apache/incubator-tvm/pull/4491))
   - [Runtime][Contrib] Support cudnn softmax (#5214)
   - [cuDNN] Add cuDNN grouped convolution support (#5319)
   - [Relay][Topi][AutoTVM] Winograd support for Conv3D (#5186)
   - [TOPI] Improve get_valid_count and nms performance for CUDA (#5339)
   - [Topi][Cuda]Optimizations of global_ave_pool for NHWC layout (#5450)
   - Optimization of Conv2d Winograd algorithm on Tensor … [#5485](https://github.com/apache/incubator-tvm/pull/5485)
   - Some performance improvement to VM [#5901](https://github.com/apache/incubator-tvm/pull/5901)
   - Optimize x86 conv3d_ndhwc using data packing approach. [#4866](https://github.com/apache/incubator-tvm/pull/4866)
   - Improve NHWC depthwise convolution for AArch64 [#6095](https://github.com/apache/incubator-tvm/pull/6095)
   - Improve quantized convolution performance for armv8 architectures [#5754](https://github.com/apache/incubator-tvm/pull/5754)
   
   # Documentation
   
   - Adding benchmark log format doc ([#4366](https://github.com/apache/incubator-tvm/pull/4366))
   - Add Ninja build system to installation docs ([#4554](https://github.com/apache/incubator-tvm/pull/4554))
   - Doc/comment fixes ([#4452](https://github.com/apache/incubator-tvm/pull/4452), [#4463](https://github.com/apache/incubator-tvm/pull/4463), [#4469](https://github.com/apache/incubator-tvm/pull/4469), [#4493](https://github.com/apache/incubator-tvm/pull/4493), [#4397](https://github.com/apache/incubator-tvm/pull/4397), [#4580](https://github.com/apache/incubator-tvm/pull/4580), [#4585](https://github.com/apache/incubator-tvm/pull/4585), [#4591](https://github.com/apache/incubator-tvm/pull/4591))
   - Fix doc after moving to unified IR [#4835](https://github.com/apache/incubator-tvm/pull/4835)
   - Introduction to module serialization [#4564](https://github.com/apache/incubator-tvm/pull/4564)
   - ConvertLayout - Call RemoveUnunsedFunctions. [#4834](https://github.com/apache/incubator-tvm/pull/4834)
   - Fix bugs that override n_trials [#4842](https://github.com/apache/incubator-tvm/pull/4842)
   - Update the vm doc [#4868](https://github.com/apache/incubator-tvm/pull/4868)
   - Refine the example description of max/min/sum/tag_scope [#4974](https://github.com/apache/incubator-tvm/pull/4974)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/pull/4809)
   - Introduce how to add hardware backend to FAQ [#4898](https://github.com/apache/incubator-tvm/pull/4898)
   - Update API docs to reflect the status after the refactor. [#4907](https://github.com/apache/incubator-tvm/pull/4907)
   - Fix sphinx warnings [#4917](https://github.com/apache/incubator-tvm/pull/4917)
   - Fix Sphinx Warnings (RST indent, cross-ref, and image scale) [#4920](https://github.com/apache/incubator-tvm/pull/4920)
   - Fix Sphinx Warning: the target found for cross-reference [#4925](https://github.com/apache/incubator-tvm/pull/4925)
   - Sphinx -- Introduce alias detection. [#4954](https://github.com/apache/incubator-tvm/pull/4954)
   - Fix Warnings from #4942 [#4959](https://github.com/apache/incubator-tvm/pull/4959)
   - Fix sphinx precheck [#4967](https://github.com/apache/incubator-tvm/pull/4967)
   - Move git_howto to rst, add Stage documents to te [#5055](https://github.com/apache/incubator-tvm/pull/5055)
   - Add doc for Relay op strategy [#5078](https://github.com/apache/incubator-tvm/pull/5078)
   - Update relay docs [#5112](https://github.com/apache/incubator-tvm/pull/5112)
   - Include a tarball of docs, add a security faq [#5119](https://github.com/apache/incubator-tvm/pull/5119)
   - Cleanup docs before rebuild [#5127](https://github.com/apache/incubator-tvm/pull/5127)
   - Minimize necessary doc change [#5129](https://github.com/apache/incubator-tvm/pull/5129)
   - Various sphinx related fix. [#5168](https://github.com/apache/incubator-tvm/pull/5168)
   - Point docs to the ASF site. [#5178](https://github.com/apache/incubator-tvm/pull/5178)
   - Use https link [#5183](https://github.com/apache/incubator-tvm/pull/5183)
   - Reduce artifcats generated by sphinx gallery [#5208](https://github.com/apache/incubator-tvm/pull/5208)
   - Refine the example description of max/min/sum/tag_scope [#4974](https://github.com/apache/incubator-tvm/pull/4974)
   - Description updated for pooling attributes [#5091](https://github.com/apache/incubator-tvm/pull/5091)
   - [DOCS] Migrate some markdowns to rst, fix sphinx3 warnings ([#5416](https://github.com/apache/incubator-tvm/pull/5416))
   - [DOCS] Misc docs improvements ([#5222](https://github.com/apache/incubator-tvm/pull/5222))
   - [DOCS] Bring relay docs to the top-level flat view ([#5343](https://github.com/apache/incubator-tvm/pull/5343))
   - [DOCS] Reduce artifcats generated by sphinx gallery ([#5208](https://github.com/apache/incubator-tvm/pull/5208))
   - [DOCS] Use https link ([#5183](https://github.com/apache/incubator-tvm/pull/5183))
   - [DOCSTRING]missing function parameters updated ([#5228](https://github.com/apache/incubator-tvm/pull/5228))
   - [DOCS] Migrate HLS documents from md to rst ([#5419](https://github.com/apache/incubator-tvm/pull/5419))
   - [Tutorial, QNN] Add tutorial for loading quantized PyTorch model ([#5321](https://github.com/apache/incubator-tvm/pull/5321))
   - [Docs] VTA install doc migration from md to rst ([#5442](https://github.com/apache/incubator-tvm/pull/5442))
   - [TVM][docs] compiler version in docs ([#5281](https://github.com/apache/incubator-tvm/pull/5281))
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - TVM_REGISTER_API -> TVM_REGISTER_GLOBAL [#4768](https://github.com/apache/incubator-tvm/issues/4768)
   
   # Bug Fixes
   
   - Add bfloat16 typeflag support ([#4525](https://github.com/apache/incubator-tvm/pull/4525))
   - MSVC / Windows fixes ([#4455](https://github.com/apache/incubator-tvm/pull/4455), [#4569](https://github.com/apache/incubator-tvm/pull/4569))
   - Fix Makefile for howto_deploy ([#4457](https://github.com/apache/incubator-tvm/pull/4457/files))
   - Fix GCC 4.8 compact ([#4461](https://github.com/apache/incubator-tvm/pull/4461))
   - Fix search path to build libtvm_topi.so ([#4467](https://github.com/apache/incubator-tvm/pull/4467))
   - Fix for conv2d_transpose CUDA compilation ([#4472](https://github.com/apache/incubator-tvm/pull/4472))
   - Fix for LLVM 10.0 codegen ([#4480](https://github.com/apache/incubator-tvm/pull/4480), [#4515](https://github.com/apache/incubator-tvm/pull/4515))
   - Fix alter op layout when calling global var ([#4454](https://github.com/apache/incubator-tvm/pull/4454))
   - Fix float2half_rn support for cuda compute capabilities < 53 ([#4489](https://github.com/apache/incubator-tvm/pull/4489))
   - Fix compile errors for OpenCL backends ([#4492](https://github.com/apache/incubator-tvm/pull/4492))
   - Fix serialization precision loss ([#4503](https://github.com/apache/incubator-tvm/pull/4503))
   - Fix hybrid script to support array of tensors ([#4494](https://github.com/apache/incubator-tvm/pull/4494))
   - Fix annotation for multiply op ([#4458](https://github.com/apache/incubator-tvm/pull/4458))
   - Fix Dockerfile for linter CI ([#4506](https://github.com/apache/incubator-tvm/pull/4506))
   - Fix TF resize for dynamic size models ([#4510](https://github.com/apache/incubator-tvm/pull/4510))
   - Fix bias_add gradient ([#4516](https://github.com/apache/incubator-tvm/pull/4516))
   - Fix tanH unit test function call ([#4517](https://github.com/apache/incubator-tvm/pull/4517))
   - Fix extra reshape parameter for ONNX ([#4524](https://github.com/apache/incubator-tvm/pull/4524))
   - Fix crash caused by empty TOPI config ([#4520](https://github.com/apache/incubator-tvm/pull/4520))
   - Fix ONNX shape op type to use int64 ([#4528](https://github.com/apache/incubator-tvm/pull/4528))
   - Fix crash in TSIM virtual memory driver ([#4527](https://github.com/apache/incubator-tvm/pull/4527))
   - Replace deprecated python library in setup script ([#4533](https://github.com/apache/incubator-tvm/pull/4533))
   - Fix NMS max_output_size loop ([#4541](https://github.com/apache/incubator-tvm/pull/4541))
   - Fix style in IR mutator and IR visitor ([#4561](https://github.com/apache/incubator-tvm/pull/4561))
   - Fix compiler warning ([#4559](https://github.com/apache/incubator-tvm/pull/4559))
   - Fix to get end to end inference on Chisel VTA ([#4574](https://github.com/apache/incubator-tvm/pull/4574))
   - Fix LLVM build by adding missing intrinsics headers ([#4575](https://github.com/apache/incubator-tvm/pull/4575))
   - Fix context creation in quantization ([#4582](https://github.com/apache/incubator-tvm/pull/4582))
   - Fix NDArray SaveDLTensor signature ([#4586](https://github.com/apache/incubator-tvm/pull/4586))
   - Fix dense pack schedule for x86 ([#4539](https://github.com/apache/incubator-tvm/pull/4539))
   - Fix for broadcast tensor of scalar type ([#4577](https://github.com/apache/incubator-tvm/pull/4577))
   - Datatype refactor ([#4513](https://github.com/apache/incubator-tvm/pull/4513/files), [#4560](https://github.com/apache/incubator-tvm/pull/4560))
   - Add const qualifiers for NDArray container ([#4590](https://github.com/apache/incubator-tvm/pull/4590))
   - Fix TF <= 1.12 compatibility ([#4593](https://github.com/apache/incubator-tvm/pull/4593))
   - Fix for graph debug runtime ([#4598](https://github.com/apache/incubator-tvm/pull/4598/files))
   - Disable copy constructor for external codegen ([#4597](https://github.com/apache/incubator-tvm/pull/4597))
   - Make ADT tag signed ([#4605](https://github.com/apache/incubator-tvm/pull/4605))
   - Added declare of aluBits for TensorAlu [#4624](https://github.com/apache/incubator-tvm/issues/4624)
   - Get around limitation of g++-4.8 [#4626](https://github.com/apache/incubator-tvm/issues/4626)
   - Bugfix StmtMutator IfThenElse [#4609](https://github.com/apache/incubator-tvm/issues/4609)
   - Remove unecessary rdynamic [#4613](https://github.com/apache/incubator-tvm/issues/4613)
   - Resolve constexpr related link error in debug mode [#4641](https://github.com/apache/incubator-tvm/issues/4641)
   - Asymmetric padding [#4511](https://github.com/apache/incubator-tvm/issues/4511)
   - Reduce data size of asymmetric padding testcase [#4658](https://github.com/apache/incubator-tvm/issues/4658)
   - Fix Base64OutStream portability issue [#4668](https://github.com/apache/incubator-tvm/issues/4668)
   - Fix topi.nn.global_pool layout="NHWC" [#4656](https://github.com/apache/incubator-tvm/issues/4656)
   - Also package core.rly [#4679](https://github.com/apache/incubator-tvm/issues/4679)
   - `fskip` of EliminateCommonSubexpr cannot always return false [#4620](https://github.com/apache/incubator-tvm/issues/4620)
   - Fix Python syntax error in start_rpc_server_to_tracker.py [#4682](https://github.com/apache/incubator-tvm/issues/4682)
   - os.path --> osp to match the import [#4681](https://github.com/apache/incubator-tvm/issues/4681)
   - GitHub actions/checkout@v1 --> v2 [#4680](https://github.com/apache/incubator-tvm/issues/4680)
   - Fix Python syntax error AGAIN in start_rpc_server_to_tracker.py [#4685](https://github.com/apache/incubator-tvm/issues/4685)
   - Use ==/!= to compare str, bytes, and int literals [#4686](https://github.com/apache/incubator-tvm/issues/4686)
   - Rename start_rpc_server_to_tracker.py to start_rpc_server_to_tracker.sh [#4689](https://github.com/apache/incubator-tvm/issues/4689)
   - GitHub Action lint Python code for syntax errors [#4688](https://github.com/apache/incubator-tvm/issues/4688)
   - Generate blob use LLVM directly [#4657](https://github.com/apache/incubator-tvm/issues/4657)
   - Reduce input size to fix oom [#4653](https://github.com/apache/incubator-tvm/issues/4653)
   - Fix RemoveUnusedFunctions pass [#4700](https://github.com/apache/incubator-tvm/issues/4700)
   - Link the math library by default [#4713](https://github.com/apache/incubator-tvm/issues/4713)
   - Update mainline version to 0.7.dev0 [#4720](https://github.com/apache/incubator-tvm/issues/4720)
   - Add SizeVar representing non-neg valued variable in a tensor shape [#4684](https://github.com/apache/incubator-tvm/issues/4684)
   - Fix the compile problem of cpp_rpc [#4725](https://github.com/apache/incubator-tvm/issues/4725)
   - JSON upgrader to upgrade serialized json. [#4730](https://github.com/apache/incubator-tvm/issues/4730)
   - Fallback schedule for Int8 depthwise. [#4733](https://github.com/apache/incubator-tvm/issues/4733)
   - Fix dense x86 schedule [#4728](https://github.com/apache/incubator-tvm/issues/4728)
   - Fix demo dockerfile build failed [#4744](https://github.com/apache/incubator-tvm/issues/4744)
   - Improve CUDA vectorizer [#4736](https://github.com/apache/incubator-tvm/issues/4736)
   - Add .asf.yaml for github info [#4761](https://github.com/apache/incubator-tvm/issues/4761)
   - Fix padding in pooling op [#4738](https://github.com/apache/incubator-tvm/issues/4738)
   - Remove run_infer_type duplicates [#4766](https://github.com/apache/incubator-tvm/issues/4766)
   - [pooling.cc](http://pooling.cc/) improvements [#4767](https://github.com/apache/incubator-tvm/issues/4767)
   - Export builtin_fp16 on Windows [#4731](https://github.com/apache/incubator-tvm/issues/4731)
   - Fix Tensorflow conv3d pad bug, add non-cubic data and kernel tests [#4772](https://github.com/apache/incubator-tvm/issues/4772)
   - Bump prebuilt-image version in demo dockerfile [#4770](https://github.com/apache/incubator-tvm/issues/4770)
   - Update tune_simple_template.py [#4778](https://github.com/apache/incubator-tvm/issues/4778)
   - Explicitly link to cublasLt if it exists [#4776](https://github.com/apache/incubator-tvm/issues/4776)
   - Fix hasattr by extracting Python error type from Windows error message [#4780](https://github.com/apache/incubator-tvm/issues/4780)
   - Replace os.path.exists with try...except...else [#4784](https://github.com/apache/incubator-tvm/issues/4784)
   - Make sure to visit the arguments of inlined functions [#4783](https://github.com/apache/incubator-tvm/issues/4783)
   - Parse additional exception strings [#4785](https://github.com/apache/incubator-tvm/issues/4785)
   - Fix #4670: add bias for fc layer [#4801](https://github.com/apache/incubator-tvm/issues/4801)
   - Change color channel from BGR to RGB for darknet preprocessing [#4794](https://github.com/apache/incubator-tvm/issues/4794)
   - Fix -Wextra [#4804](https://github.com/apache/incubator-tvm/issues/4804)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/issues/4809)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/pull/4797)
   - Fixed subprocess creation under windows [#4820](https://github.com/apache/incubator-tvm/pull/4820)
   - Improve tol to resolve flaky case [#4836](https://github.com/apache/incubator-tvm/pull/4836)
   - Fixed process termination routine in windows [#4844](https://github.com/apache/incubator-tvm/pull/4844)
   - test_cuddn flaky [#4846](https://github.com/apache/incubator-tvm/pull/4846)
   - Mxnet parser for Qnn dialect [#4714](https://github.com/apache/incubator-tvm/pull/4714)
   - Enhance cc.cross_compiler [#4817](https://github.com/apache/incubator-tvm/pull/4817)
   - Fixed crash caused by reversing bitwise operations [#4852](https://github.com/apache/incubator-tvm/pull/4852)
   - Reverse some changes made for intel_graphics/conv2d.py in PR #4849 [#4853](https://github.com/apache/incubator-tvm/pull/4853)
   - const auto p -> const auto& p [#4861](https://github.com/apache/incubator-tvm/pull/4861)
   - Fix onnx import bugs [#4750](https://github.com/apache/incubator-tvm/pull/4750)
   - Explicit llvm::StringRef to std::string conversion [#4859](https://github.com/apache/incubator-tvm/pull/4859)
   - Update the runtime PackedFunc for module [#4871](https://github.com/apache/incubator-tvm/pull/4871)
   - Improve antlr import error message [#4888](https://github.com/apache/incubator-tvm/pull/4888)
   - Fix alpha_equal bug for attribute check [#4897](https://github.com/apache/incubator-tvm/pull/4897)
   - Fix issues in cuda codegen [#4876](https://github.com/apache/incubator-tvm/pull/4876)
   - Fixed: Bitwise ops on floats causing wrong code generation and crashes. [#4892](https://github.com/apache/incubator-tvm/pull/4892)
   - Fix tvm.target.generic_func runtime detection [#4910](https://github.com/apache/incubator-tvm/pull/4910)
   - topi/tests/python/test_topi_sort.py::test_argsort [#4891](https://github.com/apache/incubator-tvm/pull/4891)
   - Use opencv reisze method for preprocessing of image in darknet [#4883](https://github.com/apache/incubator-tvm/pull/4883)
   - Fix build breaks with StringRef changes [#4923](https://github.com/apache/incubator-tvm/pull/4923)
   - Remove unnecessary spliting in the cached chunk [#4935](https://github.com/apache/incubator-tvm/pull/4935)
   - Fixing an Infinite Loop case in UnmatchedChecker. [#4881](https://github.com/apache/incubator-tvm/pull/4881)
   - Remove SGX toolchain installation from CI Dockerfile [#4948](https://github.com/apache/incubator-tvm/pull/4948)
   - Fix tedd tutorial after strategy change [#4947](https://github.com/apache/incubator-tvm/pull/4947)
   - Allow customize MKLDNN library location [#4814](https://github.com/apache/incubator-tvm/pull/4814)
   - Added CopyFromBytes and CopyToBytes convenience methods to NDArray. Fixed typos. [#4970](https://github.com/apache/incubator-tvm/pull/4970)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Fix get_valid_count flaky test for cuda [#4901](https://github.com/apache/incubator-tvm/pull/4901)
   - Change Scala Linter scalafmt => scalastyle [#4998](https://github.com/apache/incubator-tvm/pull/4998)
   - Kill from tvm import te [#5007](https://github.com/apache/incubator-tvm/pull/5007)
   - Chisel fixes and de10nano support [#4986](https://github.com/apache/incubator-tvm/pull/4986)
   - Fix gpu not found when running TVM docker [#4975](https://github.com/apache/incubator-tvm/pull/4975)
   - Fixes for pylint==2.4.4 [#4849](https://github.com/apache/incubator-tvm/pull/4849)
   - Fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Early checking added and new test cases added for schedule fuse [#5010](https://github.com/apache/incubator-tvm/pull/5010)
   - Fixed div by zero core dump. Fixed rounding intrinsics on int crash [#5026](https://github.com/apache/incubator-tvm/pull/5026)
   - Test case modified for int type [#5012](https://github.com/apache/incubator-tvm/pull/5012)
   - Bug Fix for ARM CPUs. Lower strict assumption. [#5063](https://github.com/apache/incubator-tvm/pull/5063)
   - Triage the testcases to fit the the new namespaces [#5071](https://github.com/apache/incubator-tvm/pull/5071)
   - Add colors to compute_at edges and thread/block indices. [#5111](https://github.com/apache/incubator-tvm/pull/5111)
   - Temporary fix to the stack overflow issue in autotvm task extraction [#5019](https://github.com/apache/incubator-tvm/pull/5019)
   - Fix compilation of If-Elses [#5040](https://github.com/apache/incubator-tvm/pull/5040)
   - Fix CompilerAttrs [#5109](https://github.com/apache/incubator-tvm/pull/5109)
   - Fix the existing test cases before refactoring. [#5122](https://github.com/apache/incubator-tvm/pull/5122)
   - Fixed bug where shifting by out-of-bounds value results in no compute code being emitted. [#5115](https://github.com/apache/incubator-tvm/pull/5115)
   - Fix for issue #4831. The data_min_idx and data_max_idx were flipped. [#5136](https://github.com/apache/incubator-tvm/pull/5136)
   - Duplicate likely nodes added when loop axis split unevenly [#5084](https://github.com/apache/incubator-tvm/pull/5084)
   - Fix incorrect name of calibration mode [#5150](https://github.com/apache/incubator-tvm/pull/5150)
   - Remove contrib spatial pack schedule of depthwise convolution [#5148](https://github.com/apache/incubator-tvm/pull/5148)
   - Fix annotate pass static variable [#5023](https://github.com/apache/incubator-tvm/pull/5023)
   - Fixed ConvTranspose2D parsing [#5157](https://github.com/apache/incubator-tvm/pull/5157)
   - Nullptr check [#5176](https://github.com/apache/incubator-tvm/pull/5176)
   - rocm: fix miopen convolutions [#5179](https://github.com/apache/incubator-tvm/pull/5179)
   - rocm: fix dense_rocblas in strategy, topi [#5191](https://github.com/apache/incubator-tvm/pull/5191)
   - Bugfix in tensorflow space_to_batch_nd [#5175](https://github.com/apache/incubator-tvm/pull/5175)
   - Fix CRT static test bug ([#5293](https://github.com/apache/incubator-tvm/pull/5293))
   - Fix perf regression of tir refactor ([#5258](https://github.com/apache/incubator-tvm/pull/5258))
   - Bugfix in tensorflow space_to_batch_nd ([#5175](https://github.com/apache/incubator-tvm/pull/5175))
   - Compilation warnings fixed for 32bit and 64bit compilation ([#5349](https://github.com/apache/incubator-tvm/pull/5349))
   - Fix hang in MergeCompilerRegions ([#5227](https://github.com/apache/incubator-tvm/pull/5227))
   - Fixes to MergeCompilerRegions ([#5195](https://github.com/apache/incubator-tvm/pull/5195))
   - Fix generation of LLVM intrinsics ([#5282](https://github.com/apache/incubator-tvm/pull/5282))
   - Fix setting up hints for getaddrinfo ([#2872](https://github.com/apache/incubator-tvm/pull/2872))
   - Add ConstantNode to IsAtomic ([#5457](https://github.com/apache/incubator-tvm/pull/5457))
   - Fix String SEqual ([#5275](https://github.com/apache/incubator-tvm/pull/5275))
   - Fix fuse over functions that are handled by external codegen ([#5365](https://github.com/apache/incubator-tvm/pull/5365))
   - Fix memory leak when accessing NDArray ([#5413](https://github.com/apache/incubator-tvm/pull/5413))
   - Remove the duplicate PrintIR pass in Relay ([#5403](https://github.com/apache/incubator-tvm/pull/5403))
   - Fix lower_warp_memory ([#5247](https://github.com/apache/incubator-tvm/pull/5247))
   - Fix lower_warp_memory when there are >1 warp buffers ([#5368](https://github.com/apache/incubator-tvm/pull/5368))
   - Fix intel conv2d auto tune ([#5200](https://github.com/apache/incubator-tvm/pull/5200))
   - Fix FuseBatchNorm output cast error if need_cast is True [#4894](https://github.com/apache/incubator-tvm/pull/4894)
   - Fix an assertion exposed by loop vectorizer [#4916](https://github.com/apache/incubator-tvm/pull/4916)
   - Fix error message [#4945](https://github.com/apache/incubator-tvm/pull/4945)
   - Fix for recursive let [#5757](https://github.com/apache/incubator-tvm/pull/5757)
   - Fix Calibration Pass to Support Modules with Multiple Functions [#5768](https://github.com/apache/incubator-tvm/pull/5768)
   - Fix what looks like bizzare copy-paste issue [#6010](https://github.com/apache/incubator-tvm/pull/6010)
   - Fix bug in transpose_shape_func [#6180](https://github.com/apache/incubator-tvm/pull/6180)
   - Fix bugs in CUDA codegen ([#5209](https://github.com/apache/incubator-tvm/pull/5209))
   - Don’t remove() TemporaryFile in **del**. ([#5414](https://github.com/apache/incubator-tvm/pull/5414))
   - Fix test_ir_type. ([#5390](https://github.com/apache/incubator-tvm/pull/5390))
   - Fix multiple identical inputs bug ([#5389](https://github.com/apache/incubator-tvm/pull/5389))
   - Add cuda target check to dense tensorcore schedule. ([#5376](https://github.com/apache/incubator-tvm/pull/5376))
   - T2 test fixups ([#5391](https://github.com/apache/incubator-tvm/pull/5391))
   - Fix miopen padding ([#5433](https://github.com/apache/incubator-tvm/pull/5433))
   - Misc fixes for ROCm ([#5431](https://github.com/apache/incubator-tvm/pull/5431))
   - Fix copy constructor (#5237)
   - Corrected TVM autotuning on GPU ([#5432](https://github.com/apache/incubator-tvm/pull/5432))
   - Fix vector load ([#5226](https://github.com/apache/incubator-tvm/pull/5226))
   - Minor bugfix in message_passing.cc ([#5254](https://github.com/apache/incubator-tvm/pull/5254))
   - Fix a bug when vectorized load&store was involved for… ([#5428](https://github.com/apache/incubator-tvm/pull/5428))
   - Fix to skip node not in graph. ([#5238](https://github.com/apache/incubator-tvm/pull/5238))
   - Fix [#5388](https://github.com/apache/incubator-tvm/pull/5388) [RUNTIME][VULKAN] vkBuffer released before memory copy command se… ([#5418](https://github.com/apache/incubator-tvm/pull/5418))
   - Fix a minor error in device_annotation ([#5291](https://github.com/apache/incubator-tvm/pull/5291))
   - Fix scalar’s ndim is 0 ([#5344](https://github.com/apache/incubator-tvm/pull/5344))
   - Fix the runtime raise error [#5586](https://github.com/apache/incubator-tvm/pull/5586)
   - Fixed bug in attribute parsing for pool layers. #[5582](https://github.com/apache/incubator-tvm/pull/5582)
   - AutoTVM incorrect measurement [#5511](https://github.com/apache/incubator-tvm/pull/5511)
   - fix a min/max simplify bug [#5761](https://github.com/apache/incubator-tvm/pull/5761)
   - Rename tvm_dso_op to libtvm_dso_op [#5714](https://github.com/apache/incubator-tvm/pull/5714)
   - Fix generating types like float44 and float88 [#5722](https://github.com/apache/incubator-tvm/pull/5722)
   - Avoid downloading when TOPHUB_LOCATION is NONE [#5720](https://github.com/apache/incubator-tvm/pull/5720)
   - codegen llvm: move nvptx-specific intrinsic handling into codegen_nvptx [#5726](https://github.com/apache/incubator-tvm/pull/5726)
   - ROCm warp shuffles and reductions [#5727](https://github.com/apache/incubator-tvm/pull/5727)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Clarify downstream consistency of TVMArgTypeCode [#5742](https://github.com/apache/incubator-tvm/pull/5742)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - Make batch matrix multiplication on GPU tunable [#5752](https://github.com/apache/incubator-tvm/pull/5752)
   - update vulkan build rule [#5777](https://github.com/apache/incubator-tvm/pull/5777)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - Edit onnx parser to infer values in post order [#5755](https://github.com/apache/incubator-tvm/pull/5755)
   - Support symbolic inputs of Fill [#5762](https://github.com/apache/incubator-tvm/pull/5762)
   - support aten::type_as in the pytorch frontend [#5787](https://github.com/apache/incubator-tvm/pull/5787)
   - Temporary disable fp16 type_as test for PyTorch Frontend [#5799](https://github.com/apache/incubator-tvm/pull/5799)
   - Add config switch for nn.dense layer type. [#5801](https://github.com/apache/incubator-tvm/pull/5801)
   - Move cpu-only frontend tests to a CPU stage [#5807](https://github.com/apache/incubator-tvm/pull/5807)
   - Pin hand landmark network to version 0.7.4. [#5813](https://github.com/apache/incubator-tvm/pull/5813)
   - Limit number of threads in all jobs [#5815](https://github.com/apache/incubator-tvm/pull/5815)
   - Error msg update [#5818](https://github.com/apache/incubator-tvm/pull/5818)
   - fix relay.build to not change the module argument in place [#5822](https://github.com/apache/incubator-tvm/pull/5822)
   - Fix InferType when module contains Prelude [#5797](https://github.com/apache/incubator-tvm/pull/5797)
   - Add a combine batch_matmul pass [#5791](https://github.com/apache/incubator-tvm/pull/5791)
   - RepeatVector, Conv3DTranspose op support added [#5833](https://github.com/apache/incubator-tvm/pull/5833)
   - Fix converting serialized quantized models [#5839](https://github.com/apache/incubator-tvm/pull/5839)
   - ffi (Object): make class dict visible in instances [#5843](https://github.com/apache/incubator-tvm/pull/5843)
   - Additional canonicalization added for AddNode [#5846](https://github.com/apache/incubator-tvm/pull/5846)
   - Suppress the warning messages when compile engine selects impls [#5821](https://github.com/apache/incubator-tvm/pull/5821)
   - fix #5849 [#5851](https://github.com/apache/incubator-tvm/pull/5851)
   - Introduce POD-C Compliant tvm::Map [#5740](https://github.com/apache/incubator-tvm/pull/5740)
   - Add bfloat16 [#5601](https://github.com/apache/incubator-tvm/pull/5601)
   - Add Python Classes for all Attrs [#5853](https://github.com/apache/incubator-tvm/pull/5853)
   - Fix map assign issue in CI test [#5854](https://github.com/apache/incubator-tvm/pull/5854)
   - Introduce Target Id Registry [#5838](https://github.com/apache/incubator-tvm/pull/5838)
   - Update has_dtype/has_shape to pattern lang doc [#5847](https://github.com/apache/incubator-tvm/pull/5847)
   - Add nn.batch_flatten as quantizable. [#5805](https://github.com/apache/incubator-tvm/pull/5805)
   - Fail early before running invalid dynamic graphs [#5856](https://github.com/apache/incubator-tvm/pull/5856)
   - Improve type handling in PyTorch frontend [#5834](https://github.com/apache/incubator-tvm/pull/5834)
   - HotFix the python intrin rule [#5895](https://github.com/apache/incubator-tvm/pull/5895)
   - add a few gradients [#5899](https://github.com/apache/incubator-tvm/pull/5899)
   - Add Binary Intrinsic ops to TIR Ops in C++ [#5900](https://github.com/apache/incubator-tvm/pull/5900)
   - Allow implicit conversion in TVM FFI to tvm::Bool [#5907](https://github.com/apache/incubator-tvm/pull/5907)
   - PyTorch frontend: fix handling of duplicate use of a model weight [#5897](https://github.com/apache/incubator-tvm/pull/5897)
   - Don’t multiply by constant 1 uselessly in dense [#5911](https://github.com/apache/incubator-tvm/pull/5911)
   - Support any index matching for TupleGetItem [#5909](https://github.com/apache/incubator-tvm/pull/5909)
   - Add MicroTVM tutorial using the STM32F746 discovery board [#5655](https://github.com/apache/incubator-tvm/pull/5655)
   - Fix serialization of inf float value [#5912](https://github.com/apache/incubator-tvm/pull/5912)
   - Fix CPU Thread Binding for Multiple Sockets [#5918](https://github.com/apache/incubator-tvm/pull/5918)
   - CUDA device API & VerifyGPUCode pass update [#5898](https://github.com/apache/incubator-tvm/pull/5898)
   - Update install.rst [#5858](https://github.com/apache/incubator-tvm/pull/5858)
   - Two small fixes to AMDCPU codegen for LLVM 10+ and ROCm 3.5+ [#5920](https://github.com/apache/incubator-tvm/pull/5920)
   - Add LegalizeInvalidAttach to legalize the compute_at location after split or fuse [#591](https://github.com/apache/incubator-tvm/pull/5917)
   - Don’t rewrite expressions used outside of the pattern [#5930](https://github.com/apache/incubator-tvm/pull/5930)
   - Add TupleGetItem to CSE [#5931](https://github.com/apache/incubator-tvm/pull/5931)
   - Various update for CoreML codegen [#5934](https://github.com/apache/incubator-tvm/pull/5934)
   - Update date in the NOTICE [#5943](https://github.com/apache/incubator-tvm/pull/5943)
   - Raise right error in tensorflow split op [#5951](https://github.com/apache/incubator-tvm/pull/5951)
   - Add rm xla attributes in tf docs [#5950](https://github.com/apache/incubator-tvm/pull/5950)
   - Fix OpenCL get_valid_counts errors due to intrinsic atomic_add [#5857](https://github.com/apache/incubator-tvm/pull/5857)
   - Amendments for gradients [#5941](https://github.com/apache/incubator-tvm/pull/5941)
   - Fix the meaning of conv{1,2}d_transpose output_padding parameter. [#5758](https://github.com/apache/incubator-tvm/pull/5758)
   - Make first order gradient graphs more efficient [#5959](https://github.com/apache/incubator-tvm/pull/5959)
   - Raise an exception when extern function does not return Stmt [#5964](https://github.com/apache/incubator-tvm/pull/5964)
   - Improve docker/bash.sh to handle git worktrees [#5970](https://github.com/apache/incubator-tvm/pull/5970)
   - Install DNNL (OneDNN) to CI Environment [#5936](https://github.com/apache/incubator-tvm/pull/5936)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Add meshgrid op in Relay, TOPI, Pytorch frontend [#5961](https://github.com/apache/incubator-tvm/pull/5961)
   - Print right number of parentheses for LoadNode [#5965](https://github.com/apache/incubator-tvm/pull/5965)
   - Migrate data structure of TargetNode [#5960](https://github.com/apache/incubator-tvm/pull/5960)
   - Remove redundant function CreateBufferVecPtr [#5982](https://github.com/apache/incubator-tvm/pull/5982)
   - Fix string argument mismatch in GraphRuntimeCodegen [#5933](https://github.com/apache/incubator-tvm/pull/5933)
   - VectorType::get with two parameters is deprecated in LLVM 11+ [#5984](https://github.com/apache/incubator-tvm/pull/5984)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Fix building with LLVM-10 on macOS [#5859](https://github.com/apache/incubator-tvm/pull/5859)
   - Add cuda 11 to contrib.nvcc.find_libdevice_path() [#5902](https://github.com/apache/incubator-tvm/pull/5902)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Fix recursive let for well formed check [#5780](https://github.com/apache/incubator-tvm/pull/5780)
   - Recover global state after test_util.py [#5824](https://github.com/apache/incubator-tvm/pull/5824)
   - Fix bug in rpc ring buffer shrink [#5516](https://github.com/apache/incubator-tvm/pull/5516)
   - Fix remote device sync [#5538](https://github.com/apache/incubator-tvm/pull/5538)
   - Fix bug in rpc ring buffer shrink (#5516) [#5537](https://github.com/apache/incubator-tvm/pull/5537)
   - RPC Server error fix on Pynq FPGA [#5607](https://github.com/apache/incubator-tvm/pull/5607)
   - Fix FloorMod Simplifier [#5509](https://github.com/apache/incubator-tvm/pull/5509)
   - Fix Python debugger segfaults with TVM built with LLVM [#5685](https://github.com/apache/incubator-tvm/pull/5685)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Make "none" DataType explicit [#5491](https://github.com/apache/incubator-tvm/pull/5491)
   - Change "scalar" and "stack" in IDL from "inrout" to "in" [#5487](https://github.com/apache/incubator-tvm/pull/5487)
   - Link necessary libraries when building runtime for Android [#5496](https://github.com/apache/incubator-tvm/pull/5496)
   - Fixes for wasm32 target [#5489](https://github.com/apache/incubator-tvm/pull/5489)
   - Reset target and wait for runtime initialization on connect. [#5499](https://github.com/apache/incubator-tvm/pull/5499)
   - Bump tophub rocm version [#5504](https://github.com/apache/incubator-tvm/pull/5504)
   - Improve commentary for RingBuffer [#5518](https://github.com/apache/incubator-tvm/pull/5518)
   - Add unit tests for ONNX PRelu and fix importer to pass them. [#5521](https://github.com/apache/incubator-tvm/pull/5521)
   - LRN only supports 4D tensors, remove it from alter_op_layout [#5520](https://github.com/apache/incubator-tvm/pull/5520)
   - Fix an issue with ONNX Upsample [#5530](https://github.com/apache/incubator-tvm/pull/5530)
   - Cache PrimExpr instead of raw pointers in bound analyzer [#5533](https://github.com/apache/incubator-tvm/pull/5533)
   - fix a few bugs with shape inference and types in the ONNX importer [#5534](https://github.com/apache/incubator-tvm/pull/5534)
   - Add Onnx Pad v11 [#5539](https://github.com/apache/incubator-tvm/pull/5539)
   - Changes to cpp_rpc to make it work on Android (+ Hexagon offloading) [#5535](https://github.com/apache/incubator-tvm/pull/5535)
   - Fix to reduce RAM size during loading model [#5507](https://github.com/apache/incubator-tvm/pull/5507)
   - Fix MakeLoopNest for warp memory [#5382](https://github.com/apache/incubator-tvm/pull/5382)
   - Load platform specific lib for tvmdsoop instead of the hard-coded tvm_dso_op.so [#5542](https://github.com/apache/incubator-tvm/pull/5542)
   - Add tests for running micro on native arm hardware [#5546](https://github.com/apache/incubator-tvm/pull/5546)
   - Apparently, ONNX Conv with no 'pads' defaults to zero padding [#5548](https://github.com/apache/incubator-tvm/pull/5548)
   - clang-format the h,cc,m files. [#5557](https://github.com/apache/incubator-tvm/pull/5557)
   - Fix conv2d alter op for arm cpu [#5532](https://github.com/apache/incubator-tvm/pull/5532)
   - Fix topi test (/topi/tests/python/test_topi_conv2d_nhwc_winograd.py) for non tensorcore CI. [#5563](https://github.com/apache/incubator-tvm/pull/5563)
   - Add clang-format and nodejs to ci-lint [#5567](https://github.com/apache/incubator-tvm/pull/5567)
   - Enable clang-format. [#5572](https://github.com/apache/incubator-tvm/pull/5572)
   - Allow ubuntu_install_darknet.sh to work in both 18.04 and 16.04 [#5574](https://github.com/apache/incubator-tvm/pull/5574)
   - Add a quantized conv2 unit test for the tflite front-end [#5558](https://github.com/apache/incubator-tvm/pull/5558)
   - Fix JSON graph dumping. [#5591](https://github.com/apache/incubator-tvm/pull/5591)
   - Warp level reduction support for CUDA [#5498](https://github.com/apache/incubator-tvm/pull/5498)
   - One more fix for concurrency count [#5589](https://github.com/apache/incubator-tvm/pull/5589)
   - Improve robustness of the docs build [#5583](https://github.com/apache/incubator-tvm/pull/5583)
   - Phase out WebGL [#5570](https://github.com/apache/incubator-tvm/pull/5570)
   - Fix vulkansdk in the ci-gpu and upgrade to 1.2.135 [#5566](https://github.com/apache/incubator-tvm/pull/5566)
   - Update ci-cpu to bionic [#5554](https://github.com/apache/incubator-tvm/pull/5554)
   - Overestimate binary size for microTVM compiled binaries. [#5590](https://github.com/apache/incubator-tvm/pull/5590)
   - Fix bug and re-enable RPC execution test [#5436](https://github.com/apache/incubator-tvm/pull/5436)
   - Add ostream formatters for TargetPtr/TargetVal. [#5592](https://github.com/apache/incubator-tvm/pull/5592)
   - Fix cross thread reduction [#5551](https://github.com/apache/incubator-tvm/pull/5551)
   - Fix TVMArray layout on device [#5599](https://github.com/apache/incubator-tvm/pull/5599)
   - Add debug mode to tempdir() [#5581](https://github.com/apache/incubator-tvm/pull/5581)
   - Represent alignment information in LLVM IR [#5598](https://github.com/apache/incubator-tvm/pull/5598)
   - Fix codegen for warp shuffle intrinsics [#5606](https://github.com/apache/incubator-tvm/pull/5606)
   - Fix Topological Order calculation for DFPattern Language [#5612](https://github.com/apache/incubator-tvm/pull/5612)
   - Global MaxPool3d and AvgPool3d support [#5098](https://github.com/apache/incubator-tvm/pull/5098)
   - Fix build error of iOS RPC [#5621](https://github.com/apache/incubator-tvm/pull/5621)
   - isn't a CallNode sometimes [#5623](https://github.com/apache/incubator-tvm/pull/5623)
   - Introduce config to PassContext. [#5631](https://github.com/apache/incubator-tvm/pull/5631)
   - CMAKE fix [#5630](https://github.com/apache/incubator-tvm/pull/5630)
   - Label Pattern Partitions [#5627](https://github.com/apache/incubator-tvm/pull/5627)
   - Extend AttrPattern to support CallNode and FunctionNode attributes [#5637](https://github.com/apache/incubator-tvm/pull/5637)
   - Increase bss section size. [#5660](https://github.com/apache/incubator-tvm/pull/5660)
   - Add buffer name when creating tensor bindings [#5670](https://github.com/apache/incubator-tvm/pull/5670)
   - µtvm debug improvements [#5648](https://github.com/apache/incubator-tvm/pull/5648)
   - enable amd_apu device on vulkan target [#5659](https://github.com/apache/incubator-tvm/pull/5659)
   - Support TupleWrapper as direct ancestor of control flow ops [#5639](https://github.com/apache/incubator-tvm/pull/5639)
   - add tvm.micro pydoc to sphinx [#5661](https://github.com/apache/incubator-tvm/pull/5661)
   - Add a regression testcase for #5674 [#5677](https://github.com/apache/incubator-tvm/pull/5677)
   - Fix C++ RPC build problem on Linux [#5671](https://github.com/apache/incubator-tvm/pull/5671)
   - Add a check Callback to the Pattern Paritioner [#5646](https://github.com/apache/incubator-tvm/pull/5646)
   - Call previous excepthook in tvm_excepthook. [#5675](https://github.com/apache/incubator-tvm/pull/5675)
   - Fix the shift column for scale_shift_nchw and scale_shift_nhwc in C topi [#5679](https://github.com/apache/incubator-tvm/pull/5679)
   - Support more dtypes for TVMDSOOp [#5694](https://github.com/apache/incubator-tvm/pull/5694)
   - In memory_plan, check if value is not None, instead of just checking value as boolean. [#5700](https://github.com/apache/incubator-tvm/pull/5700)
   - Fix flaky test_topi_pooling.py:test_adaptive_pool [#5736](https://github.com/apache/incubator-tvm/pull/5736)
   - Fix the values for test_fmod since it fails way too often otherwise [#5723](https://github.com/apache/incubator-tvm/pull/5723)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Clean WASM environment before build [#5759](https://github.com/apache/incubator-tvm/pull/5759)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - fix #5686: remove a overstrict assert in MakeAllreduce (#5686) [#5785](https://github.com/apache/incubator-tvm/pull/5785)
   - Improve Pattern Language Docs [#5676](https://github.com/apache/incubator-tvm/pull/5676)
   - Add missing expr visitor for any [#6082](https://github.com/apache/incubator-tvm/pull/6082)
   - Remove the tvm web from version update [#6122](https://github.com/apache/incubator-tvm/pull/6122)
   - Clear relay cache after every build & Clear warning message cache after autotvm task extraction [#6131](https://github.com/apache/incubator-tvm/pull/6131)
   - avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Use LocalRunner by default in the tutorial tune_relay_cuda.py [#6001](https://github.com/apache/incubator-tvm/pull/6001)
   - Undefined names: import os for line 324 & import re for line 308 [#6003](https://github.com/apache/incubator-tvm/pull/6003)
   - GitHub Actions upgrade to actions/setup-python@v2 [#6002](https://github.com/apache/incubator-tvm/pull/6002)
   - Only pass pythonpath for ci images [#6005](https://github.com/apache/incubator-tvm/pull/6005)
   - Auto-convert shuffle with single index to “extract element” [#6006](https://github.com/apache/incubator-tvm/pull/6006)
   - Cache object refs in loop partitioner instead of object pointers [#6004](https://github.com/apache/incubator-tvm/pull/6004)
   - Fix test_arith_solve_linear_inequality.py::test_multi_equal [#6014](https://github.com/apache/incubator-tvm/pull/6014)
   - MXNet frontend support for AMP cast op [#5976](https://github.com/apache/incubator-tvm/pull/5976)
   - Demo showing how to run a pruned model. [#5975](https://github.com/apache/incubator-tvm/pull/5975)
   - Move compiler related registry items to vta/build_module.py [#6012](https://github.com/apache/incubator-tvm/pull/6012)
   - Pin keras version [#6032](https://github.com/apache/incubator-tvm/pull/6032)
   - Fix in arm_cpu/conv2d_alter_op for NHWC quantized [#6027](https://github.com/apache/incubator-tvm/pull/6027)
   - Add creation of Hexagon device in RPC client [#6035](https://github.com/apache/incubator-tvm/pull/6035)
   - Terminate basic block after “ret” instruction [#6036](https://github.com/apache/incubator-tvm/pull/6036)
   - µTVM CRT modifications for on-device RPC server [#5921](https://github.com/apache/incubator-tvm/pull/5921)
   - Create TBAA information based on the unrelying buffer type [#6046](https://github.com/apache/incubator-tvm/pull/6046)
   - Add support for tflite arg_min and arg_max [#5992](https://github.com/apache/incubator-tvm/pull/5992)
   - Fix fully_connected converter when batch size is not 1 [#6038](https://github.com/apache/incubator-tvm/pull/6038)
   - Fix a primitive check error [#5991](https://github.com/apache/incubator-tvm/pull/5991)
   - Refactor to expose MakeOp functions to C++ [#6047](https://github.com/apache/incubator-tvm/pull/6047)
   - Fix conv2_gemm after target structure update [#6037](https://github.com/apache/incubator-tvm/pull/6037)
   - Remove use of designated initializers from hexagon_module.cc [#6055](https://github.com/apache/incubator-tvm/pull/6055)
   - Build crttest and cpptest separately. [#6057](https://github.com/apache/incubator-tvm/pull/6057)
   - Fix pytorch frontend prim::Constant issue [#6051](https://github.com/apache/incubator-tvm/pull/6051)
   - update frontend tutorials to new model based runtime interface [#6063](https://github.com/apache/incubator-tvm/pull/6063)
   - Remove unnecessary std::cout [#6072](https://github.com/apache/incubator-tvm/pull/6072)
   - Fix error message in Buffer::vstore, NFC [#6056](https://github.com/apache/incubator-tvm/pull/6056)
   - Fix FSIM Compile Error. [#6070](https://github.com/apache/incubator-tvm/pull/6070)
   - Improve vector simplification for float operands [#6043](https://github.com/apache/incubator-tvm/pull/6043)
   - Fix LocalBuilder on macOS with python 3.8. [#6083](https://github.com/apache/incubator-tvm/pull/6083)
   - Add missing test for fast erf [#6058](https://github.com/apache/incubator-tvm/pull/6058)
   - Fixed point multiplication improvements for AArch64 [#5980](https://github.com/apache/incubator-tvm/pull/5980)
   - Fix code generation bugs for C/CUDA & Improve VerifyGPUCode pass [#6041](https://github.com/apache/incubator-tvm/pull/6041)
   - Delete declaration of unused op_node [#6102](https://github.com/apache/incubator-tvm/pull/6102)
   - Load configs even it has no entity [#6100](https://github.com/apache/incubator-tvm/pull/6100)
   - Update SGX example Cargo.toml [#6067](https://github.com/apache/incubator-tvm/pull/6067)
   - Add default value for option USE_DNNL_CODEGEN in the cmake [#6099](https://github.com/apache/incubator-tvm/pull/6099)
   - Update installation doc with minor improvements [#6104](https://github.com/apache/incubator-tvm/pull/6104)
   - lint: add opencl .cl file type [#6092](https://github.com/apache/incubator-tvm/pull/6092)
   - Clean up conversions between TVM and Rust functions [#6114](https://github.com/apache/incubator-tvm/pull/6114)
   - Improve reduction schedule on arm CPUs [#6110](https://github.com/apache/incubator-tvm/pull/6110)
   - Register Shape Func for Some Operators to Handle Dynamic Shapes [#5955](https://github.com/apache/incubator-tvm/pull/5955)
   - Fix variable name conflict with OpenCL keyword [#6048](https://github.com/apache/incubator-tvm/pull/6048)
   - Some rust cleanups [#6116](https://github.com/apache/incubator-tvm/pull/6116)
   - Option to specify alternate directory to output build to [#6016](https://github.com/apache/incubator-tvm/pull/6016)
   - Add ‘get_num_inputs’ to GraphRuntime [#6118](https://github.com/apache/incubator-tvm/pull/6118)
   - TFLite quantized conv test [#6084](https://github.com/apache/incubator-tvm/pull/6084)
   - Fix autotvm on the conv2d_nchw_winograd.mali operator [#6130](https://github.com/apache/incubator-tvm/pull/6130)
   - add attr option mfloat-abi for arm32 [#6123](https://github.com/apache/incubator-tvm/pull/6123)
   - Fix CUDA Library Tuning [#6132](https://github.com/apache/incubator-tvm/pull/6132)
   - Add missing RPC sources after refactor [#6113](https://github.com/apache/incubator-tvm/pull/6113)
   - Correct runtime.load_module [#6161](https://github.com/apache/incubator-tvm/pull/6161)
   - Improve error messages in graph tuner, graph runtime, and module loader. [#6148](https://github.com/apache/incubator-tvm/pull/6148)
   - Fix some shape mismatches between TF and Relay [#6166](https://github.com/apache/incubator-tvm/pull/6166)
   - Improve doc string [#6176](https://github.com/apache/incubator-tvm/pull/6176)
   - Fix incorrect function signature in header [#6172](https://github.com/apache/incubator-tvm/pull/6172)
   - Fix alignment of note [#6181](https://github.com/apache/incubator-tvm/pull/6181)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223))
   - Avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Added casting to hybrid script doc and fixed pass infra doc [#6174](https://github.com/apache/incubator-tvm/pull/6174)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   - Fix cuda half math function is undefined: hpow, htanh [#6225](https://github.com/apache/incubator-tvm/pull/6225)
   - Fix division range estimation error in simplifier [#6244](https://github.com/apache/incubator-tvm/pull/6244)
   - Fix newer GCC compiler warnings. [#6257](https://github.com/apache/incubator-tvm/pull/6257)
   - Support _contrib_SyncBatchNorm [#6245](https://github.com/apache/incubator-tvm/pull/6245)
   - Fix reduction [#6250](https://github.com/apache/incubator-tvm/pull/6250)
   - Add apt repository for clang-11 and llvm-11 [#6256](https://github.com/apache/incubator-tvm/pull/6256)
   - Update tutorial to new TARGET as micro_dev is no more [#6262](https://github.com/apache/incubator-tvm/pull/6262)
   - Fix clang-format [#6264](https://github.com/apache/incubator-tvm/pull/6264)
   - Trivial fix, up the rodata section for the discovery board to 512 bytes. [#6259](https://github.com/apache/incubator-tvm/pull/6259)
   - Fix cuda half math function is undefined: hpow, htanh [#6253](https://github.com/apache/incubator-tvm/pull/6253)
   - Add dilation in x86 NCHWc depthwise conv support [#6267](https://github.com/apache/incubator-tvm/pull/6267)
   - Decrease test times by introducing testing model [#6235](https://github.com/apache/incubator-tvm/pull/6235)
   - Add support for parsing the any dimension. [#6277](https://github.com/apache/incubator-tvm/pull/6277)
   - Improve error messages for memory verifier and gpu memory verifier [#6281](https://github.com/apache/incubator-tvm/pull/6281)
   - Reflect Compile-Time CMake Options into [libtvm.so](http://libtvm.so/) [#6280](https://github.com/apache/incubator-tvm/pull/6280)
   - Add cmake options into libinfo [#6286](https://github.com/apache/incubator-tvm/pull/6286)
   - Update slice to infer attributes when not graph inputs [#6276](https://github.com/apache/incubator-tvm/pull/6276)
   - Use rpc.LocalSession for simple tests [#6294](https://github.com/apache/incubator-tvm/pull/6294)
   - Fix random fail [#6312](https://github.com/apache/incubator-tvm/pull/6312)
   - Fix resize test [#6298](https://github.com/apache/incubator-tvm/pull/6298)
   - Fix cython FFI compact with np.int64 [#6321](https://github.com/apache/incubator-tvm/pull/6321)
   - Fix relay vm optimize [#6322](https://github.com/apache/incubator-tvm/pull/6322)
   - Changed TVMCTVMContext to TVMContext [#6306](https://github.com/apache/incubator-tvm/pull/6306)
   - Make able to compile with MSVC [#6341](https://github.com/apache/incubator-tvm/pull/6341)
   - ROCm changed name of library and removed the old one in ROCm 3.7 release. [#6345](https://github.com/apache/incubator-tvm/pull/6345)
   - Compatible for ROCm before 3.7 [#6359](https://github.com/apache/incubator-tvm/pull/6359)
   - Use clear name that is separate from ASF brand for cache [#6360](https://github.com/apache/incubator-tvm/pull/6360)
   - Fix Dockerfile.demo_android [#6361](https://github.com/apache/incubator-tvm/pull/6361)
   - Fx sparse dense schedule on cuda [#5803](https://github.com/apache/incubator-tvm/pull/5803)
   - Fix strategy for sparse dense cuda [#5782](https://github.com/apache/incubator-tvm/pull/5782)
   - Fix x86 conv2d template when tuning with unpacked layout [#5938](https://github.com/apache/incubator-tvm/pull/5938)
   - Fix the filter width parameter in depthwise_conv2d [#6081](https://github.com/apache/incubator-tvm/pull/6081)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Missing header [#4865](https://github.com/apache/incubator-tvm/pull/4865)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   
   # Known Issues
   
   # Deprecation
   
   - Deprecating NNVM ([#4535](https://github.com/apache/incubator-tvm/pull/4535), [#4562](https://github.com/apache/incubator-tvm/pull/4562), [#4565](https://github.com/apache/incubator-tvm/pull/4565), [#4571](https://github.com/apache/incubator-tvm/pull/4571))
   - Deprecate FreeStmt [#5890](https://github.com/apache/incubator-tvm/pull/5890)
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - Deprecate OpenGL [#5711](https://github.com/apache/incubator-tvm/pull/5711), [#5712](https://github.com/apache/incubator-tvm/pull/5712)


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880






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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698661161


   ## Operator Coverage
   
   - Allow empty tensor for reshape, tile and strided_slice [#4618](https://github.com/apache/incubator-tvm/issues/4618)
   - Fix meaning of conv2d_transpose output_padding parameter"; [#4708](https://github.com/apache/incubator-tvm/issues/4708)
   - Remove cpp upsampling and resize op [#4769](https://github.com/apache/incubator-tvm/issues/4769)
   - upsample operator 'NCHWinic' format support. [#4791](https://github.com/apache/incubator-tvm/pull/4791)
   - Injective schedule improvement [#4786](https://github.com/apache/incubator-tvm/pull/4786)
   - Enable vectorization on fp16 type [#4867](https://github.com/apache/incubator-tvm/pull/4867)
   - Support for Int8 schedules - CUDA/x86 [#5031](https://github.com/apache/incubator-tvm/pull/5031)
   - New PR to re-add tan to TVM [#5025](https://github.com/apache/incubator-tvm/pull/5025)
   - Register topi schedule for Relay fast_exp and fast_tanh [#5131](https://github.com/apache/incubator-tvm/pull/5131)
   - Move Dilation2d from nn to image namespace [#5110](https://github.com/apache/incubator-tvm/pull/5110)
   - Use Thrust sort for argsort and topk [#5097](https://github.com/apache/incubator-tvm/pull/5097)
   - Conv2d and Dense ops support on Tensor Core [#5099](https://github.com/apache/incubator-tvm/pull/5099)
   - Setting workload correctly for Depthwise Spatial conv ARM. [#5182](https://github.com/apache/incubator-tvm/pull/5182)
   - Adding a few missing math intrin [#5011](https://github.com/apache/incubator-tvm/pull/5011)
   - Missing vectorize for depthwise conv2d. [#5196](https://github.com/apache/incubator-tvm/pull/5196)
   - [TOPI] Using x86 schedules for ARM conv2d ([#5334](https://github.com/apache/incubator-tvm/pull/5334))
   - [TOPI-ARM] Do not alter layout if layout is NHWC ([#5350](https://github.com/apache/incubator-tvm/pull/5350))
   - [TOPI] Setting workload correctly for Depthwise Spatial conv ARM. ([#5182](https://github.com/apache/incubator-tvm/pull/5182))
   - [Relay][OP] Add fast_erf implementation ([#5241](https://github.com/apache/incubator-tvm/pull/5241))
   - [Topi] Tensorcore support for Conv3D ([#5284](https://github.com/apache/incubator-tvm/pull/5284))
   - [intrin] a few more math functions ([#5468](https://github.com/apache/incubator-tvm/pull/5468))
   - [Intrinsic] Add log1p, ldexp, atan2, hypot, nextafter, copysign ([#5312](https://github.com/apache/incubator-tvm/pull/5312))
   - [relay][topi] Add operation relay.nn.dilate() which calls topi.nn.dilate() ([#5331](https://github.com/apache/incubator-tvm/pull/5331))
   - [Topi x86] Missing vectorize for depthwise conv2d. ([#5196](https://github.com/apache/incubator-tvm/pull/5196))
   - [TOPI x86] Adding unroll_kw config option for depthwise conv2d. (#5197)
   - [Topi] Breakdown [topi.cc](http://topi.cc/) into smaller files ([#5253](https://github.com/apache/incubator-tvm/pull/5253))
   - ReduceLogSumExp Operator support [#5453](https://github.com/apache/incubator-tvm/pull/5453)
   - Math ops added [#5502](https://github.com/apache/incubator-tvm/pull/5502)
   - Enable blocking format in x86 conv2d and fold scale axis [#5357](https://github.com/apache/incubator-tvm/pull/5357)
   - Add operation gather to relay. [#5716](https://github.com/apache/incubator-tvm/pull/5716)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Fix bifrost spatial packing conv2d auto tune [#5684](https://github.com/apache/incubator-tvm/pull/5684)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - Improve CUDA softmax scheduling [#5600](https://github.com/apache/incubator-tvm/pull/5600)
   - block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - pass-by-value -> pass-by-const-reference [#5783](https://github.com/apache/incubator-tvm/pull/5783)
   - Using MKL blas for quantized dense [#6115](https://github.com/apache/incubator-tvm/pull/6115)
   - topi -> tvm/topi [#6186](https://github.com/apache/incubator-tvm/pull/6186)
   - Use auto-tuner to improve conv2d_gemm performance [#6117](https://github.com/apache/incubator-tvm/pull/6117)
   - Improve CUDA conv2d_transpose_nchw [#4762](https://github.com/apache/incubator-tvm/issues/4762)
   - Add CUDA conv2d for NHWC layout [#4737](https://github.com/apache/incubator-tvm/issues/4737)
   - conv3d_ndhwc schedule [#4775](https://github.com/apache/incubator-tvm/issues/4775)
   - Fast exponent [#4790](https://github.com/apache/incubator-tvm/pull/4790)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Split MKL from BLAS. [#6182](https://github.com/apache/incubator-tvm/pull/6182)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Gather op support added [#6013](https://github.com/apache/incubator-tvm/pull/6013)
   
   ## Runtime and Backend
   
   - Cythonize NDArray.copyto ([#4549](https://github.com/apache/incubator-tvm/pull/4549))
   - Unified Object System runtime refactor ([#4578](https://github.com/apache/incubator-tvm/pull/4578), [#4581](https://github.com/apache/incubator-tvm/pull/4581), [#4603](https://github.com/apache/incubator-tvm/pull/4603))
   - VM profiler: sort VM stats by time ([#4601](https://github.com/apache/incubator-tvm/pull/4601))
   - Update RPC runtime to allow remote module as arg ([#4462](https://github.com/apache/incubator-tvm/pull/4462))
   - Refactorying system lib and dso lib into library module ([#4481](https://github.com/apache/incubator-tvm/pull/4481))
   - Improve TSIM virtual memory mapping ([#4545](https://github.com/apache/incubator-tvm/pull/4545))
   - make adt tag signed [#4605](https://github.com/apache/incubator-tvm/issues/4605)
   - Improve TVMBackendPackedCFunc to allow return val [#4637](https://github.com/apache/incubator-tvm/issues/4637)
   - EdgeTPU runtime for Coral Boards [#4698](https://github.com/apache/incubator-tvm/issues/4698)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/issues/4811)
   - Fix memory leakage of TVMByteArray [#4856](https://github.com/apache/incubator-tvm/pull/4856)
   - Fix TVM_DLL_EXPORT_TYPED_FUNC to work on Windows [#4955](https://github.com/apache/incubator-tvm/pull/4955)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/pull/4811)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - MISRA-C compliant TVM runtime [#3934](https://github.com/apache/incubator-tvm/pull/3934)
   - Update the type_keys to reflect the code-org [#5074](https://github.com/apache/incubator-tvm/pull/5074)
   - Fix AttrEqual for Array and StrMap, double [#5054](https://github.com/apache/incubator-tvm/pull/5054)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - Fix unused-value warning [#5140](https://github.com/apache/incubator-tvm/pull/5140)
   - crt error handling [#5147](https://github.com/apache/incubator-tvm/pull/5147)
   - Bundle deployment with static linking [#5158](https://github.com/apache/incubator-tvm/pull/5158)
   - Implemented kDLCPUPinned (cudaMallocHost) [#4985](https://github.com/apache/incubator-tvm/pull/4985)
   - Explicitly cast min/max operands [#5090](https://github.com/apache/incubator-tvm/pull/5090)
   - ref_counter -> ref_counter_ [#5184](https://github.com/apache/incubator-tvm/pull/5184)
   - Expose runtime::String to Python ([#5212](https://github.com/apache/incubator-tvm/pull/5212))
   - [PY][FFI] Refactor runtime.String to subclass str ([#5426](https://github.com/apache/incubator-tvm/pull/5426))
   - [RUNTIME] Auto conversion from str to runtime::String in PackedFUnc ([#5251](https://github.com/apache/incubator-tvm/pull/5251))
   - [RUNTIME] Improved Packed FFI for optional. ([#5478](https://github.com/apache/incubator-tvm/pull/5478))
   - [Hexagon] Add hexagon_posix.cc to TVM/RT sources in the right place (#5346)
   - [PY][FFI] Refactor runtime.String to subclass str (#5426)
   - Fix workspace [#5503](https://github.com/apache/incubator-tvm/pull/5503)
   - Store nullptr PackedFunc as nullptr for better error propagation [#5540](https://github.com/apache/incubator-tvm/pull/5540)
   - Improve PackedFunc robustness [#5517](https://github.com/apache/incubator-tvm/pull/5517)
   - Seg fault in WorkspacePool's destructor (#5632) [#5636](https://github.com/apache/incubator-tvm/pull/5636)
   - Resolve constexpr issue in debug mode. [#5651](https://github.com/apache/incubator-tvm/pull/5651)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Call sync in CopyFromRemote and CopyToRemote [#5512](https://github.com/apache/incubator-tvm/pull/5512)
   - Fix the multihop cpu case [#5522](https://github.com/apache/incubator-tvm/pull/5522)
   - Improve RPCServer AsyncIO support. [#5544](https://github.com/apache/incubator-tvm/pull/5544)
   - Modularize the RPC infra [#5484](https://github.com/apache/incubator-tvm/pull/5484)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Overload string operators [#5806](https://github.com/apache/incubator-tvm/pull/5806)
   - Only initialize required module [#5926](https://github.com/apache/incubator-tvm/pull/5926)
   - if a param not in input, we should still consume it’s data [#5990](https://github.com/apache/incubator-tvm/pull/5990)
   - init TVMPackedFunc’s name [#6044](https://github.com/apache/incubator-tvm/pull/6044)
   - Enable auto conversion String->DLDataType [#6214](https://github.com/apache/incubator-tvm/pull/6214)
   - Support random fill [#5913](https://github.com/apache/incubator-tvm/pull/5913)
   - Use new to avoid exit-time de-allocation order [#6292](https://github.com/apache/incubator-tvm/pull/6292)
   - Add parallel_for support to run a loop in parallel [#6275](https://github.com/apache/incubator-tvm/pull/6275)
   - Solve ARM BIG.LITTLE heterogeneous multicores [#4747](https://github.com/apache/incubator-tvm/issues/4747)
   - [RUNTIME] Quick fix PackedFunc String passing ([#5266](https://github.com/apache/incubator-tvm/pull/5266))
   - Introduce runtime::String::CanConvertFrom [#5718](https://github.com/apache/incubator-tvm/pull/5718)
   - Restore the StrMap behavior in JSON/SHash/SEqual [#5719](https://github.com/apache/incubator-tvm/pull/5719)
   - Support overriding RPCWatchdog termination behavior on Android and other platforms [#6216](https://github.com/apache/incubator-tvm/pull/6216)
   - Set NDArray::Container.shape_ in NDArray::FromDLPack ([#5301](https://github.com/apache/incubator-tvm/pull/5301))
   - Enable x86 cpu cache flush [#5914](https://github.com/apache/incubator-tvm/pull/5914)
   
   ## Quantization
   
   - Conv2D type checking for kernel per-channel scales. [#4732](https://github.com/apache/incubator-tvm/issues/4732)
   - Add missing nullptr check [#4773](https://github.com/apache/incubator-tvm/issues/4773)
   - Doc fix on convolution and dequantize [#4799](https://github.com/apache/incubator-tvm/issues/4799)
   - Conv2D with dilation support. [#4796](https://github.com/apache/incubator-tvm/issues/4796)
   - Making scale/zero_points as expr instead of attrs. [#4611](https://github.com/apache/incubator-tvm/issues/4611)
   - Make calibration faster and more memory usage friendly [#4589](https://github.com/apache/incubator-tvm/issues/4589)
   - Doc fix on convolution and dequantize [#4799](https://github.com/apache/incubator-tvm/pull/4799)
   - Conv2D with dilation support. [#4796](https://github.com/apache/incubator-tvm/pull/4796)
   - Optimize lowering for requantize and FixedPointMultiply. [#4798](https://github.com/apache/incubator-tvm/pull/4798)
   - More doc fix on quantize and convolution [#4874](https://github.com/apache/incubator-tvm/pull/4874)
   - Add support for per channel weight scale in dense op [#4880](https://github.com/apache/incubator-tvm/pull/4880)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977) [#5013](https://github.com/apache/incubator-tvm/pull/5013)
   - Support 4D padding. [#5036](https://github.com/apache/incubator-tvm/pull/5036)
   - [Requantize] Cleanup and Optimize Lowering ([#5286](https://github.com/apache/incubator-tvm/pull/5286))
   - [Topi, ARM] Disbale Winograd for quantized tensors. ([#5363](https://github.com/apache/incubator-tvm/pull/5363))
   - Adding support for TFLite QnnSubtract operator. ([#5230](https://github.com/apache/incubator-tvm/pull/5230))
   - Remove developer facing api from frontend exports. ([#5375](https://github.com/apache/incubator-tvm/pull/5375))
   - Add Quantize/Dequantize Partitioning [#5940](https://github.com/apache/incubator-tvm/pull/5940)
   - Add support for quantized models via QNN [#5016](https://github.com/apache/incubator-tvm/pull/5016)
   - Quanitze operation expanded to take const argument [#6127](https://github.com/apache/incubator-tvm/pull/6127)
   - FP32 and Quantized Object Detection Model [#5479](https://github.com/apache/incubator-tvm/pull/5479)
   - Support CallNode inputs in qnn.concatenate [#5360](https://github.com/apache/incubator-tvm/pull/5360)
   - QNN support for TFLite 2.1.0 quantized models [#5848](https://github.com/apache/incubator-tvm/pull/5848)
   
   ## TE
   
   - Tighten split's extent [#4931](https://github.com/apache/incubator-tvm/pull/4931)
   - Set split node's range to minimum of ext and split factor or split np… [#5044](https://github.com/apache/incubator-tvm/pull/5044)
   - Support mixing normal and cross-thread reduction ([#5193](https://github.com/apache/incubator-tvm/pull/5193))
   - Inline -> te/schedule/operation_inline.h ([#5386](https://github.com/apache/incubator-tvm/pull/5386))
   - Create loops according to storage scope and thread hierarchies ([#5190](https://github.com/apache/incubator-tvm/pull/5190))
   - Fix import in dump pass ir (#5327)
   - Scalar support for `te.extern` [#6079](https://github.com/apache/incubator-tvm/pull/6079)
   
   ## TIR
   
   - IR readability enhancement ([#4501](https://github.com/apache/incubator-tvm/pull/4501))
   - Introduce tir::PrimFunc [#5070](https://github.com/apache/incubator-tvm/pull/5070)
   - Introduce PrimFuncPass. [#5139](https://github.com/apache/incubator-tvm/pull/5139)
   - [TIR] Enhance Substitute, python bindings for Substitute/PostOrderVisit ([#5400](https://github.com/apache/incubator-tvm/pull/5400))
   - [TIR] Remove ProducerConsumer and AllocateNode::new_expr ([#5333](https://github.com/apache/incubator-tvm/pull/5333))
   - [IR][TRANSFORM] Enable CopyOnWrite for TIR passes. ([#5309](https://github.com/apache/incubator-tvm/pull/5309))
   - [REFACTOR][TIR] Migrate LowerTVMBuiltin, InferFragment, LowerThreadAllreduce, ThreadSync to Pass Manager ([#5213](https://github.com/apache/incubator-tvm/pull/5213))
   - [TIR][REFACTOR] Remove te::Tensor dependencies from TIR passes. ([#5372](https://github.com/apache/incubator-tvm/pull/5372))
   - [TIR] Refactor MakePackedAPI to target dependent stage. ([#5326](https://github.com/apache/incubator-tvm/pull/5326))
   - [REFACTOR] tvm.hybrid -> te.hybrid ([#5223](https://github.com/apache/incubator-tvm/pull/5223))
   - [REFACTOR][TIR] Migrate most of low-level build to use the Pass Manager. ([#5225](https://github.com/apache/incubator-tvm/pull/5225))
   - [TIR][REFACTOR] Migrate low-level passes in tvm.lower to the Pass Manager ([#5364](https://github.com/apache/incubator-tvm/pull/5364))
   - [TIR] Migrate VTA TIR passes to the new pass manager. ([#5397](https://github.com/apache/incubator-tvm/pull/5397))
   - [REFACTOR][TIR] Migrate all low-level passes to the Pass Manager. ([#5233](https://github.com/apache/incubator-tvm/pull/5233))
   - [REFACTOR][TIR] Introduce ExprDeepEqual, Remove IRDeepCompare (#5206)
   - [TIR][REFACTOR] RewriteForTensorCore -> te/schedule (#5379)
   - [TIR][REFACTOR] Remove ir_pass in favor of analysis/transform. (#5415)
   - text format printer considering future parsing use [#5483](https://github.com/apache/incubator-tvm/pull/5483)
   - Remove buffer params from pass config. [#5652](https://github.com/apache/incubator-tvm/pull/5652)
   - std::string -> String Migration in TIR nodes [#5596](https://github.com/apache/incubator-tvm/pull/5596)
   - Remove CallNode.call_type in favor of attribute. [#5937](https://github.com/apache/incubator-tvm/pull/5937)
   - Remove legacy HoistIfThenElse [#5944](https://github.com/apache/incubator-tvm/pull/5944)
   - Improve Let/LetStmt support. [#5949](https://github.com/apache/incubator-tvm/pull/5949)
   - Refine side effect analysis. [#5954](https://github.com/apache/incubator-tvm/pull/5954)
   - Provide->ProducerStore, Realize->ProducerRealize. [#5750](https://github.com/apache/incubator-tvm/pull/5750)
   - Migrate the tvm/tir/expr.h to constructor [#5773](https://github.com/apache/incubator-tvm/pull/5773)
   - Migrate tir/stmt.h to use constructor. [#5778](https://github.com/apache/incubator-tvm/pull/5778)
   - Cleanup unused classes [#5789](https://github.com/apache/incubator-tvm/pull/5789)
   - Add tir prefix to type keys [#5802](https://github.com/apache/incubator-tvm/pull/5802)
   - Enhance VerifyGPUCode [#6194](https://github.com/apache/incubator-tvm/pull/6194)
   - Enforce buffer pointer var type to be consistent with dtype. [#6317](https://github.com/apache/incubator-tvm/pull/6317)
   - Create a StringImm reference type [#4806](https://github.com/apache/incubator-tvm/issues/4806)
   - Add `init` member to ReduceNode [#6138](https://github.com/apache/incubator-tvm/pull/6138)
   - Add dump and print for debugging (NFC) [#5207](https://github.com/apache/incubator-tvm/pull/5207)
   - Streamline Function Attr interface. [#5045](https://github.com/apache/incubator-tvm/pull/5045)
   - alpha_equal to structural_equal [#5161](https://github.com/apache/incubator-tvm/pull/5161)
   - Remove AttrsEqual and AttrsHash related code [#5169](https://github.com/apache/incubator-tvm/pull/5169)
   - [NODE] General serialzation of leaf objects into bytes. ([#5299](https://github.com/apache/incubator-tvm/pull/5299))
   - [POC][IR] Initial stab at std::string->String upgrade ([#5438](https://github.com/apache/incubator-tvm/pull/5438))
   - [TIR] Make lower_warp_memory support extent(threadIdx.x) < warp_size ([#5307](https://github.com/apache/incubator-tvm/pull/5307))
   - [TIR][PASS] dtype rewrite for indexing variables ([#5092](https://github.com/apache/incubator-tvm/pull/5092))
   - [PYTHON] Enhance with_attr API, cleanup MakeAPILegacy in testcases ([#5335](https://github.com/apache/incubator-tvm/pull/5335))
   - [PYTHON] Make IntImm more like an integer ([#5232](https://github.com/apache/incubator-tvm/pull/5232))
   - [REFACTOR][IR] Move to runtime::String ([#5276](https://github.com/apache/incubator-tvm/pull/5276))
   - [REFACTOR][IR] kExternalSymbol -> kGlobalSymbol ([#5211](https://github.com/apache/incubator-tvm/pull/5211))
   - [REFACTOR][IR] Remove PrimExpr from String ([#5311](https://github.com/apache/incubator-tvm/pull/5311))
   - IRModule is updated with String [#5523](https://github.com/apache/incubator-tvm/pull/5523)
   - IR is updated with String [#5547](https://github.com/apache/incubator-tvm/pull/5547)
   - Streamline ir/op Registry [#5609](https://github.com/apache/incubator-tvm/pull/5609)
   - Migrate IRModule ObjectRef to not-null [#5654](https://github.com/apache/incubator-tvm/pull/5654)
   - Migrate BuildConfig to PassContext. [#5668](https://github.com/apache/incubator-tvm/pull/5668)
   - relay.op.Op -> tvm.ir.Op [#5705](https://github.com/apache/incubator-tvm/pull/5705)
   - Separate ArgTypeCode from DLDataTypeCode [#5730](https://github.com/apache/incubator-tvm/pull/5730)
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - Call::Halide => ProducerLoad, DSL/TIR decouple. [#5743](https://github.com/apache/incubator-tvm/pull/5743)
   - Provide->ProducerStore, Realize->ProducerRealize. [#5750](https://github.com/apache/incubator-tvm/pull/5750)
   - Migrate the tvm/tir/expr.h to constructor [#5773](https://github.com/apache/incubator-tvm/pull/5773)
   - Migrate tir/stmt.h to use constructor. [#5778](https://github.com/apache/incubator-tvm/pull/5778)
   - Migrate all Object construction to constructor. [#5784](https://github.com/apache/incubator-tvm/pull/5784)
   - Cleanup unused classes [#5789](https://github.com/apache/incubator-tvm/pull/5789)
   - Finish std::string->String updates [#5793](https://github.com/apache/incubator-tvm/pull/5793)
   - Add tir prefix to type keys [#5802](https://github.com/apache/incubator-tvm/pull/5802)
   - Change [Call.name](http://call.name/) to Call.op(RelayExpr) [#5863](https://github.com/apache/incubator-tvm/pull/5863)
   - Range/IntSet API style consistency. [#5953](https://github.com/apache/incubator-tvm/pull/5953)
   - Separate ArgTypeCode from DLDataTypeCode [#5730](https://github.com/apache/incubator-tvm/pull/5730)
   - Migrate all Object construction to constructor. [#5784](https://github.com/apache/incubator-tvm/pull/5784)
   - Finish std::string->String updates [#5793](https://github.com/apache/incubator-tvm/pull/5793)
   - Unify StrMapNode and MapNode [#5687](https://github.com/apache/incubator-tvm/pull/5687)


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-701059777


   I will add an `API Changes` section before `Deprecation`. @roastduck @tqchen 


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[GitHub] [incubator-tvm] roastduck commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

roastduck commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-700358912


   Maybe we should mention that we have reorganized Python modules, which breaks `import`s in old codes. If we have other API changes, we should mention them in the release note as well.


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659713


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)
   
   ## Operator Coverage
   
   - Allow empty tensor for reshape, tile and strided_slice [#4618](https://github.com/apache/incubator-tvm/issues/4618)
   - Fix meaning of conv2d_transpose output_padding parameter"; [#4708](https://github.com/apache/incubator-tvm/issues/4708)
   - Remove cpp upsampling and resize op [#4769](https://github.com/apache/incubator-tvm/issues/4769)
   - upsample operator 'NCHWinic' format support. [#4791](https://github.com/apache/incubator-tvm/pull/4791)
   - Injective schedule improvement [#4786](https://github.com/apache/incubator-tvm/pull/4786)
   - Enable vectorization on fp16 type [#4867](https://github.com/apache/incubator-tvm/pull/4867)
   - Support for Int8 schedules - CUDA/x86 [#5031](https://github.com/apache/incubator-tvm/pull/5031)
   - New PR to re-add tan to TVM [#5025](https://github.com/apache/incubator-tvm/pull/5025)
   - Register topi schedule for Relay fast_exp and fast_tanh [#5131](https://github.com/apache/incubator-tvm/pull/5131)
   - Move Dilation2d from nn to image namespace [#5110](https://github.com/apache/incubator-tvm/pull/5110)
   - Use Thrust sort for argsort and topk [#5097](https://github.com/apache/incubator-tvm/pull/5097)
   - Conv2d and Dense ops support on Tensor Core [#5099](https://github.com/apache/incubator-tvm/pull/5099)
   - Setting workload correctly for Depthwise Spatial conv ARM. [#5182](https://github.com/apache/incubator-tvm/pull/5182)
   - Adding a few missing math intrin [#5011](https://github.com/apache/incubator-tvm/pull/5011)
   - Missing vectorize for depthwise conv2d. [#5196](https://github.com/apache/incubator-tvm/pull/5196)
   - [TOPI] Using x86 schedules for ARM conv2d ([#5334](https://github.com/apache/incubator-tvm/pull/5334))
   - [TOPI-ARM] Do not alter layout if layout is NHWC ([#5350](https://github.com/apache/incubator-tvm/pull/5350))
   - [TOPI] Setting workload correctly for Depthwise Spatial conv ARM. ([#5182](https://github.com/apache/incubator-tvm/pull/5182))
   - [Relay][OP] Add fast_erf implementation ([#5241](https://github.com/apache/incubator-tvm/pull/5241))
   - [Topi] Tensorcore support for Conv3D ([#5284](https://github.com/apache/incubator-tvm/pull/5284))
   - [intrin] a few more math functions ([#5468](https://github.com/apache/incubator-tvm/pull/5468))
   - [Intrinsic] Add log1p, ldexp, atan2, hypot, nextafter, copysign ([#5312](https://github.com/apache/incubator-tvm/pull/5312))
   - [relay][topi] Add operation relay.nn.dilate() which calls topi.nn.dilate() ([#5331](https://github.com/apache/incubator-tvm/pull/5331))
   - [Topi x86] Missing vectorize for depthwise conv2d. ([#5196](https://github.com/apache/incubator-tvm/pull/5196))
   - [TOPI x86] Adding unroll_kw config option for depthwise conv2d. (#5197)
   - [Topi] Breakdown [topi.cc](http://topi.cc/) into smaller files ([#5253](https://github.com/apache/incubator-tvm/pull/5253))
   - ReduceLogSumExp Operator support [#5453](https://github.com/apache/incubator-tvm/pull/5453)
   - Math ops added [#5502](https://github.com/apache/incubator-tvm/pull/5502)
   - Enable blocking format in x86 conv2d and fold scale axis [#5357](https://github.com/apache/incubator-tvm/pull/5357)
   - Add operation gather to relay. [#5716](https://github.com/apache/incubator-tvm/pull/5716)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Fix bifrost spatial packing conv2d auto tune [#5684](https://github.com/apache/incubator-tvm/pull/5684)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - Improve CUDA softmax scheduling [#5600](https://github.com/apache/incubator-tvm/pull/5600)
   - block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - pass-by-value -> pass-by-const-reference [#5783](https://github.com/apache/incubator-tvm/pull/5783)
   - Using MKL blas for quantized dense [#6115](https://github.com/apache/incubator-tvm/pull/6115)
   - topi -> tvm/topi [#6186](https://github.com/apache/incubator-tvm/pull/6186)
   - Use auto-tuner to improve conv2d_gemm performance [#6117](https://github.com/apache/incubator-tvm/pull/6117)
   - Improve CUDA conv2d_transpose_nchw [#4762](https://github.com/apache/incubator-tvm/issues/4762)
   - Add CUDA conv2d for NHWC layout [#4737](https://github.com/apache/incubator-tvm/issues/4737)
   - conv3d_ndhwc schedule [#4775](https://github.com/apache/incubator-tvm/issues/4775)
   - Fast exponent [#4790](https://github.com/apache/incubator-tvm/pull/4790)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Split MKL from BLAS. [#6182](https://github.com/apache/incubator-tvm/pull/6182)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Gather op support added [#6013](https://github.com/apache/incubator-tvm/pull/6013)
   
   ## Runtime and Backend
   
   - Cythonize NDArray.copyto ([#4549](https://github.com/apache/incubator-tvm/pull/4549))
   - Unified Object System runtime refactor ([#4578](https://github.com/apache/incubator-tvm/pull/4578), [#4581](https://github.com/apache/incubator-tvm/pull/4581), [#4603](https://github.com/apache/incubator-tvm/pull/4603))
   - VM profiler: sort VM stats by time ([#4601](https://github.com/apache/incubator-tvm/pull/4601))
   - Update RPC runtime to allow remote module as arg ([#4462](https://github.com/apache/incubator-tvm/pull/4462))
   - Refactorying system lib and dso lib into library module ([#4481](https://github.com/apache/incubator-tvm/pull/4481))
   - Improve TSIM virtual memory mapping ([#4545](https://github.com/apache/incubator-tvm/pull/4545))
   - make adt tag signed [#4605](https://github.com/apache/incubator-tvm/issues/4605)
   - Improve TVMBackendPackedCFunc to allow return val [#4637](https://github.com/apache/incubator-tvm/issues/4637)
   - EdgeTPU runtime for Coral Boards [#4698](https://github.com/apache/incubator-tvm/issues/4698)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/issues/4811)
   - Fix memory leakage of TVMByteArray [#4856](https://github.com/apache/incubator-tvm/pull/4856)
   - Fix TVM_DLL_EXPORT_TYPED_FUNC to work on Windows [#4955](https://github.com/apache/incubator-tvm/pull/4955)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/pull/4811)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - MISRA-C compliant TVM runtime [#3934](https://github.com/apache/incubator-tvm/pull/3934)
   - Update the type_keys to reflect the code-org [#5074](https://github.com/apache/incubator-tvm/pull/5074)
   - Fix AttrEqual for Array and StrMap, double [#5054](https://github.com/apache/incubator-tvm/pull/5054)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - Fix unused-value warning [#5140](https://github.com/apache/incubator-tvm/pull/5140)
   - crt error handling [#5147](https://github.com/apache/incubator-tvm/pull/5147)
   - Bundle deployment with static linking [#5158](https://github.com/apache/incubator-tvm/pull/5158)
   - Implemented kDLCPUPinned (cudaMallocHost) [#4985](https://github.com/apache/incubator-tvm/pull/4985)
   - Explicitly cast min/max operands [#5090](https://github.com/apache/incubator-tvm/pull/5090)
   - ref_counter -> ref_counter_ [#5184](https://github.com/apache/incubator-tvm/pull/5184)
   - Expose runtime::String to Python ([#5212](https://github.com/apache/incubator-tvm/pull/5212))
   - [PY][FFI] Refactor runtime.String to subclass str ([#5426](https://github.com/apache/incubator-tvm/pull/5426))
   - [RUNTIME] Auto conversion from str to runtime::String in PackedFUnc ([#5251](https://github.com/apache/incubator-tvm/pull/5251))
   - [RUNTIME] Improved Packed FFI for optional. ([#5478](https://github.com/apache/incubator-tvm/pull/5478))
   - [Hexagon] Add hexagon_posix.cc to TVM/RT sources in the right place (#5346)
   - [PY][FFI] Refactor runtime.String to subclass str (#5426)
   - Fix workspace [#5503](https://github.com/apache/incubator-tvm/pull/5503)
   - Store nullptr PackedFunc as nullptr for better error propagation [#5540](https://github.com/apache/incubator-tvm/pull/5540)
   - Improve PackedFunc robustness [#5517](https://github.com/apache/incubator-tvm/pull/5517)
   - Seg fault in WorkspacePool's destructor (#5632) [#5636](https://github.com/apache/incubator-tvm/pull/5636)
   - Resolve constexpr issue in debug mode. [#5651](https://github.com/apache/incubator-tvm/pull/5651)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Call sync in CopyFromRemote and CopyToRemote [#5512](https://github.com/apache/incubator-tvm/pull/5512)
   - Fix the multihop cpu case [#5522](https://github.com/apache/incubator-tvm/pull/5522)
   - Improve RPCServer AsyncIO support. [#5544](https://github.com/apache/incubator-tvm/pull/5544)
   - Modularize the RPC infra [#5484](https://github.com/apache/incubator-tvm/pull/5484)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Overload string operators [#5806](https://github.com/apache/incubator-tvm/pull/5806)
   - Only initialize required module [#5926](https://github.com/apache/incubator-tvm/pull/5926)
   - if a param not in input, we should still consume it’s data [#5990](https://github.com/apache/incubator-tvm/pull/5990)
   - init TVMPackedFunc’s name [#6044](https://github.com/apache/incubator-tvm/pull/6044)
   - Enable auto conversion String->DLDataType [#6214](https://github.com/apache/incubator-tvm/pull/6214)
   - Support random fill [#5913](https://github.com/apache/incubator-tvm/pull/5913)
   - Use new to avoid exit-time de-allocation order [#6292](https://github.com/apache/incubator-tvm/pull/6292)
   - Add parallel_for support to run a loop in parallel [#6275](https://github.com/apache/incubator-tvm/pull/6275)
   - Solve ARM BIG.LITTLE heterogeneous multicores [#4747](https://github.com/apache/incubator-tvm/issues/4747)
   - [RUNTIME] Quick fix PackedFunc String passing ([#5266](https://github.com/apache/incubator-tvm/pull/5266))
   - Introduce runtime::String::CanConvertFrom [#5718](https://github.com/apache/incubator-tvm/pull/5718)
   - Restore the StrMap behavior in JSON/SHash/SEqual [#5719](https://github.com/apache/incubator-tvm/pull/5719)
   - Support overriding RPCWatchdog termination behavior on Android and other platforms [#6216](https://github.com/apache/incubator-tvm/pull/6216)
   - Set NDArray::Container.shape_ in NDArray::FromDLPack ([#5301](https://github.com/apache/incubator-tvm/pull/5301))
   - Enable x86 cpu cache flush [#5914](https://github.com/apache/incubator-tvm/pull/5914)


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698661521


   # Performance Improvements
   
   - Int8 GEMM performance enhancement using Cublas ([#4550](https://github.com/apache/incubator-tvm/pull/4550))
   - Speedup TSIM with multi-threading ([#4491](https://github.com/apache/incubator-tvm/pull/4491))
   - [Runtime][Contrib] Support cudnn softmax (#5214)
   - [cuDNN] Add cuDNN grouped convolution support (#5319)
   - [Relay][Topi][AutoTVM] Winograd support for Conv3D (#5186)
   - [TOPI] Improve get_valid_count and nms performance for CUDA (#5339)
   - [Topi][Cuda]Optimizations of global_ave_pool for NHWC layout (#5450)
   - Optimization of Conv2d Winograd algorithm on Tensor … [#5485](https://github.com/apache/incubator-tvm/pull/5485)
   - Some performance improvement to VM [#5901](https://github.com/apache/incubator-tvm/pull/5901)
   - Optimize x86 conv3d_ndhwc using data packing approach. [#4866](https://github.com/apache/incubator-tvm/pull/4866)
   - Improve NHWC depthwise convolution for AArch64 [#6095](https://github.com/apache/incubator-tvm/pull/6095)
   - Improve quantized convolution performance for armv8 architectures [#5754](https://github.com/apache/incubator-tvm/pull/5754)
   
   # Documentation
   
   - Adding benchmark log format doc ([#4366](https://github.com/apache/incubator-tvm/pull/4366))
   - Add Ninja build system to installation docs ([#4554](https://github.com/apache/incubator-tvm/pull/4554))
   - Doc/comment fixes ([#4452](https://github.com/apache/incubator-tvm/pull/4452), [#4463](https://github.com/apache/incubator-tvm/pull/4463), [#4469](https://github.com/apache/incubator-tvm/pull/4469), [#4493](https://github.com/apache/incubator-tvm/pull/4493), [#4397](https://github.com/apache/incubator-tvm/pull/4397), [#4580](https://github.com/apache/incubator-tvm/pull/4580), [#4585](https://github.com/apache/incubator-tvm/pull/4585), [#4591](https://github.com/apache/incubator-tvm/pull/4591))
   - Fix doc after moving to unified IR [#4835](https://github.com/apache/incubator-tvm/pull/4835)
   - Introduction to module serialization [#4564](https://github.com/apache/incubator-tvm/pull/4564)
   - ConvertLayout - Call RemoveUnunsedFunctions. [#4834](https://github.com/apache/incubator-tvm/pull/4834)
   - Fix bugs that override n_trials [#4842](https://github.com/apache/incubator-tvm/pull/4842)
   - Update the vm doc [#4868](https://github.com/apache/incubator-tvm/pull/4868)
   - Refine the example description of max/min/sum/tag_scope [#4974](https://github.com/apache/incubator-tvm/pull/4974)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/pull/4809)
   - Introduce how to add hardware backend to FAQ [#4898](https://github.com/apache/incubator-tvm/pull/4898)
   - Update API docs to reflect the status after the refactor. [#4907](https://github.com/apache/incubator-tvm/pull/4907)
   - Fix sphinx warnings [#4917](https://github.com/apache/incubator-tvm/pull/4917)
   - Fix Sphinx Warnings (RST indent, cross-ref, and image scale) [#4920](https://github.com/apache/incubator-tvm/pull/4920)
   - Fix Sphinx Warning: the target found for cross-reference [#4925](https://github.com/apache/incubator-tvm/pull/4925)
   - Sphinx -- Introduce alias detection. [#4954](https://github.com/apache/incubator-tvm/pull/4954)
   - Fix Warnings from #4942 [#4959](https://github.com/apache/incubator-tvm/pull/4959)
   - Fix sphinx precheck [#4967](https://github.com/apache/incubator-tvm/pull/4967)
   - Move git_howto to rst, add Stage documents to te [#5055](https://github.com/apache/incubator-tvm/pull/5055)
   - Add doc for Relay op strategy [#5078](https://github.com/apache/incubator-tvm/pull/5078)
   - Update relay docs [#5112](https://github.com/apache/incubator-tvm/pull/5112)
   - Include a tarball of docs, add a security faq [#5119](https://github.com/apache/incubator-tvm/pull/5119)
   - Cleanup docs before rebuild [#5127](https://github.com/apache/incubator-tvm/pull/5127)
   - Minimize necessary doc change [#5129](https://github.com/apache/incubator-tvm/pull/5129)
   - Various sphinx related fix. [#5168](https://github.com/apache/incubator-tvm/pull/5168)
   - Point docs to the ASF site. [#5178](https://github.com/apache/incubator-tvm/pull/5178)
   - Use https link [#5183](https://github.com/apache/incubator-tvm/pull/5183)
   - Reduce artifcats generated by sphinx gallery [#5208](https://github.com/apache/incubator-tvm/pull/5208)
   - Refine the example description of max/min/sum/tag_scope [#4974](https://github.com/apache/incubator-tvm/pull/4974)
   - Description updated for pooling attributes [#5091](https://github.com/apache/incubator-tvm/pull/5091)
   - [DOCS] Migrate some markdowns to rst, fix sphinx3 warnings ([#5416](https://github.com/apache/incubator-tvm/pull/5416))
   - [DOCS] Misc docs improvements ([#5222](https://github.com/apache/incubator-tvm/pull/5222))
   - [DOCS] Bring relay docs to the top-level flat view ([#5343](https://github.com/apache/incubator-tvm/pull/5343))
   - [DOCS] Reduce artifcats generated by sphinx gallery ([#5208](https://github.com/apache/incubator-tvm/pull/5208))
   - [DOCS] Use https link ([#5183](https://github.com/apache/incubator-tvm/pull/5183))
   - [DOCSTRING]missing function parameters updated ([#5228](https://github.com/apache/incubator-tvm/pull/5228))
   - [DOCS] Migrate HLS documents from md to rst ([#5419](https://github.com/apache/incubator-tvm/pull/5419))
   - [Tutorial, QNN] Add tutorial for loading quantized PyTorch model ([#5321](https://github.com/apache/incubator-tvm/pull/5321))
   - [Docs] VTA install doc migration from md to rst ([#5442](https://github.com/apache/incubator-tvm/pull/5442))
   - [TVM][docs] compiler version in docs ([#5281](https://github.com/apache/incubator-tvm/pull/5281))
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - TVM_REGISTER_API -> TVM_REGISTER_GLOBAL [#4768](https://github.com/apache/incubator-tvm/issues/4768)
   
   # Bug Fixes
   
   - Add bfloat16 typeflag support ([#4525](https://github.com/apache/incubator-tvm/pull/4525))
   - MSVC / Windows fixes ([#4455](https://github.com/apache/incubator-tvm/pull/4455), [#4569](https://github.com/apache/incubator-tvm/pull/4569))
   - Fix Makefile for howto_deploy ([#4457](https://github.com/apache/incubator-tvm/pull/4457/files))
   - Fix GCC 4.8 compact ([#4461](https://github.com/apache/incubator-tvm/pull/4461))
   - Fix search path to build libtvm_topi.so ([#4467](https://github.com/apache/incubator-tvm/pull/4467))
   - Fix for conv2d_transpose CUDA compilation ([#4472](https://github.com/apache/incubator-tvm/pull/4472))
   - Fix for LLVM 10.0 codegen ([#4480](https://github.com/apache/incubator-tvm/pull/4480), [#4515](https://github.com/apache/incubator-tvm/pull/4515))
   - Fix alter op layout when calling global var ([#4454](https://github.com/apache/incubator-tvm/pull/4454))
   - Fix float2half_rn support for cuda compute capabilities < 53 ([#4489](https://github.com/apache/incubator-tvm/pull/4489))
   - Fix compile errors for OpenCL backends ([#4492](https://github.com/apache/incubator-tvm/pull/4492))
   - Fix serialization precision loss ([#4503](https://github.com/apache/incubator-tvm/pull/4503))
   - Fix hybrid script to support array of tensors ([#4494](https://github.com/apache/incubator-tvm/pull/4494))
   - Fix annotation for multiply op ([#4458](https://github.com/apache/incubator-tvm/pull/4458))
   - Fix Dockerfile for linter CI ([#4506](https://github.com/apache/incubator-tvm/pull/4506))
   - Fix TF resize for dynamic size models ([#4510](https://github.com/apache/incubator-tvm/pull/4510))
   - Fix bias_add gradient ([#4516](https://github.com/apache/incubator-tvm/pull/4516))
   - Fix tanH unit test function call ([#4517](https://github.com/apache/incubator-tvm/pull/4517))
   - Fix extra reshape parameter for ONNX ([#4524](https://github.com/apache/incubator-tvm/pull/4524))
   - Fix crash caused by empty TOPI config ([#4520](https://github.com/apache/incubator-tvm/pull/4520))
   - Fix ONNX shape op type to use int64 ([#4528](https://github.com/apache/incubator-tvm/pull/4528))
   - Fix crash in TSIM virtual memory driver ([#4527](https://github.com/apache/incubator-tvm/pull/4527))
   - Replace deprecated python library in setup script ([#4533](https://github.com/apache/incubator-tvm/pull/4533))
   - Fix NMS max_output_size loop ([#4541](https://github.com/apache/incubator-tvm/pull/4541))
   - Fix style in IR mutator and IR visitor ([#4561](https://github.com/apache/incubator-tvm/pull/4561))
   - Fix compiler warning ([#4559](https://github.com/apache/incubator-tvm/pull/4559))
   - Fix to get end to end inference on Chisel VTA ([#4574](https://github.com/apache/incubator-tvm/pull/4574))
   - Fix LLVM build by adding missing intrinsics headers ([#4575](https://github.com/apache/incubator-tvm/pull/4575))
   - Fix context creation in quantization ([#4582](https://github.com/apache/incubator-tvm/pull/4582))
   - Fix NDArray SaveDLTensor signature ([#4586](https://github.com/apache/incubator-tvm/pull/4586))
   - Fix dense pack schedule for x86 ([#4539](https://github.com/apache/incubator-tvm/pull/4539))
   - Fix for broadcast tensor of scalar type ([#4577](https://github.com/apache/incubator-tvm/pull/4577))
   - Datatype refactor ([#4513](https://github.com/apache/incubator-tvm/pull/4513/files), [#4560](https://github.com/apache/incubator-tvm/pull/4560))
   - Add const qualifiers for NDArray container ([#4590](https://github.com/apache/incubator-tvm/pull/4590))
   - Fix TF <= 1.12 compatibility ([#4593](https://github.com/apache/incubator-tvm/pull/4593))
   - Fix for graph debug runtime ([#4598](https://github.com/apache/incubator-tvm/pull/4598/files))
   - Disable copy constructor for external codegen ([#4597](https://github.com/apache/incubator-tvm/pull/4597))
   - Make ADT tag signed ([#4605](https://github.com/apache/incubator-tvm/pull/4605))
   - Added declare of aluBits for TensorAlu [#4624](https://github.com/apache/incubator-tvm/issues/4624)
   - Get around limitation of g++-4.8 [#4626](https://github.com/apache/incubator-tvm/issues/4626)
   - Bugfix StmtMutator IfThenElse [#4609](https://github.com/apache/incubator-tvm/issues/4609)
   - Remove unecessary rdynamic [#4613](https://github.com/apache/incubator-tvm/issues/4613)
   - Resolve constexpr related link error in debug mode [#4641](https://github.com/apache/incubator-tvm/issues/4641)
   - Asymmetric padding [#4511](https://github.com/apache/incubator-tvm/issues/4511)
   - Reduce data size of asymmetric padding testcase [#4658](https://github.com/apache/incubator-tvm/issues/4658)
   - Fix Base64OutStream portability issue [#4668](https://github.com/apache/incubator-tvm/issues/4668)
   - Fix topi.nn.global_pool layout="NHWC" [#4656](https://github.com/apache/incubator-tvm/issues/4656)
   - Also package core.rly [#4679](https://github.com/apache/incubator-tvm/issues/4679)
   - `fskip` of EliminateCommonSubexpr cannot always return false [#4620](https://github.com/apache/incubator-tvm/issues/4620)
   - Fix Python syntax error in start_rpc_server_to_tracker.py [#4682](https://github.com/apache/incubator-tvm/issues/4682)
   - os.path --> osp to match the import [#4681](https://github.com/apache/incubator-tvm/issues/4681)
   - GitHub actions/checkout@v1 --> v2 [#4680](https://github.com/apache/incubator-tvm/issues/4680)
   - Fix Python syntax error AGAIN in start_rpc_server_to_tracker.py [#4685](https://github.com/apache/incubator-tvm/issues/4685)
   - Use ==/!= to compare str, bytes, and int literals [#4686](https://github.com/apache/incubator-tvm/issues/4686)
   - Rename start_rpc_server_to_tracker.py to start_rpc_server_to_tracker.sh [#4689](https://github.com/apache/incubator-tvm/issues/4689)
   - GitHub Action lint Python code for syntax errors [#4688](https://github.com/apache/incubator-tvm/issues/4688)
   - Generate blob use LLVM directly [#4657](https://github.com/apache/incubator-tvm/issues/4657)
   - Reduce input size to fix oom [#4653](https://github.com/apache/incubator-tvm/issues/4653)
   - Fix RemoveUnusedFunctions pass [#4700](https://github.com/apache/incubator-tvm/issues/4700)
   - Link the math library by default [#4713](https://github.com/apache/incubator-tvm/issues/4713)
   - Update mainline version to 0.7.dev0 [#4720](https://github.com/apache/incubator-tvm/issues/4720)
   - Add SizeVar representing non-neg valued variable in a tensor shape [#4684](https://github.com/apache/incubator-tvm/issues/4684)
   - Fix the compile problem of cpp_rpc [#4725](https://github.com/apache/incubator-tvm/issues/4725)
   - JSON upgrader to upgrade serialized json. [#4730](https://github.com/apache/incubator-tvm/issues/4730)
   - Fallback schedule for Int8 depthwise. [#4733](https://github.com/apache/incubator-tvm/issues/4733)
   - Fix dense x86 schedule [#4728](https://github.com/apache/incubator-tvm/issues/4728)
   - Fix demo dockerfile build failed [#4744](https://github.com/apache/incubator-tvm/issues/4744)
   - Improve CUDA vectorizer [#4736](https://github.com/apache/incubator-tvm/issues/4736)
   - Add .asf.yaml for github info [#4761](https://github.com/apache/incubator-tvm/issues/4761)
   - Fix padding in pooling op [#4738](https://github.com/apache/incubator-tvm/issues/4738)
   - Remove run_infer_type duplicates [#4766](https://github.com/apache/incubator-tvm/issues/4766)
   - [pooling.cc](http://pooling.cc/) improvements [#4767](https://github.com/apache/incubator-tvm/issues/4767)
   - Export builtin_fp16 on Windows [#4731](https://github.com/apache/incubator-tvm/issues/4731)
   - Fix Tensorflow conv3d pad bug, add non-cubic data and kernel tests [#4772](https://github.com/apache/incubator-tvm/issues/4772)
   - Bump prebuilt-image version in demo dockerfile [#4770](https://github.com/apache/incubator-tvm/issues/4770)
   - Update tune_simple_template.py [#4778](https://github.com/apache/incubator-tvm/issues/4778)
   - Explicitly link to cublasLt if it exists [#4776](https://github.com/apache/incubator-tvm/issues/4776)
   - Fix hasattr by extracting Python error type from Windows error message [#4780](https://github.com/apache/incubator-tvm/issues/4780)
   - Replace os.path.exists with try...except...else [#4784](https://github.com/apache/incubator-tvm/issues/4784)
   - Make sure to visit the arguments of inlined functions [#4783](https://github.com/apache/incubator-tvm/issues/4783)
   - Parse additional exception strings [#4785](https://github.com/apache/incubator-tvm/issues/4785)
   - Fix #4670: add bias for fc layer [#4801](https://github.com/apache/incubator-tvm/issues/4801)
   - Change color channel from BGR to RGB for darknet preprocessing [#4794](https://github.com/apache/incubator-tvm/issues/4794)
   - Fix -Wextra [#4804](https://github.com/apache/incubator-tvm/issues/4804)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/issues/4809)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/pull/4797)
   - Fixed subprocess creation under windows [#4820](https://github.com/apache/incubator-tvm/pull/4820)
   - Improve tol to resolve flaky case [#4836](https://github.com/apache/incubator-tvm/pull/4836)
   - Fixed process termination routine in windows [#4844](https://github.com/apache/incubator-tvm/pull/4844)
   - test_cuddn flaky [#4846](https://github.com/apache/incubator-tvm/pull/4846)
   - Mxnet parser for Qnn dialect [#4714](https://github.com/apache/incubator-tvm/pull/4714)
   - Enhance cc.cross_compiler [#4817](https://github.com/apache/incubator-tvm/pull/4817)
   - Fixed crash caused by reversing bitwise operations [#4852](https://github.com/apache/incubator-tvm/pull/4852)
   - Reverse some changes made for intel_graphics/conv2d.py in PR #4849 [#4853](https://github.com/apache/incubator-tvm/pull/4853)
   - const auto p -> const auto& p [#4861](https://github.com/apache/incubator-tvm/pull/4861)
   - Fix onnx import bugs [#4750](https://github.com/apache/incubator-tvm/pull/4750)
   - Explicit llvm::StringRef to std::string conversion [#4859](https://github.com/apache/incubator-tvm/pull/4859)
   - Update the runtime PackedFunc for module [#4871](https://github.com/apache/incubator-tvm/pull/4871)
   - Improve antlr import error message [#4888](https://github.com/apache/incubator-tvm/pull/4888)
   - Fix alpha_equal bug for attribute check [#4897](https://github.com/apache/incubator-tvm/pull/4897)
   - Fix issues in cuda codegen [#4876](https://github.com/apache/incubator-tvm/pull/4876)
   - Fixed: Bitwise ops on floats causing wrong code generation and crashes. [#4892](https://github.com/apache/incubator-tvm/pull/4892)
   - Fix tvm.target.generic_func runtime detection [#4910](https://github.com/apache/incubator-tvm/pull/4910)
   - topi/tests/python/test_topi_sort.py::test_argsort [#4891](https://github.com/apache/incubator-tvm/pull/4891)
   - Use opencv reisze method for preprocessing of image in darknet [#4883](https://github.com/apache/incubator-tvm/pull/4883)
   - Fix build breaks with StringRef changes [#4923](https://github.com/apache/incubator-tvm/pull/4923)
   - Remove unnecessary spliting in the cached chunk [#4935](https://github.com/apache/incubator-tvm/pull/4935)
   - Fixing an Infinite Loop case in UnmatchedChecker. [#4881](https://github.com/apache/incubator-tvm/pull/4881)
   - Remove SGX toolchain installation from CI Dockerfile [#4948](https://github.com/apache/incubator-tvm/pull/4948)
   - Fix tedd tutorial after strategy change [#4947](https://github.com/apache/incubator-tvm/pull/4947)
   - Allow customize MKLDNN library location [#4814](https://github.com/apache/incubator-tvm/pull/4814)
   - Added CopyFromBytes and CopyToBytes convenience methods to NDArray. Fixed typos. [#4970](https://github.com/apache/incubator-tvm/pull/4970)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Fix get_valid_count flaky test for cuda [#4901](https://github.com/apache/incubator-tvm/pull/4901)
   - Change Scala Linter scalafmt => scalastyle [#4998](https://github.com/apache/incubator-tvm/pull/4998)
   - Kill from tvm import te [#5007](https://github.com/apache/incubator-tvm/pull/5007)
   - Chisel fixes and de10nano support [#4986](https://github.com/apache/incubator-tvm/pull/4986)
   - Fix gpu not found when running TVM docker [#4975](https://github.com/apache/incubator-tvm/pull/4975)
   - Fixes for pylint==2.4.4 [#4849](https://github.com/apache/incubator-tvm/pull/4849)
   - Fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Early checking added and new test cases added for schedule fuse [#5010](https://github.com/apache/incubator-tvm/pull/5010)
   - Fixed div by zero core dump. Fixed rounding intrinsics on int crash [#5026](https://github.com/apache/incubator-tvm/pull/5026)
   - Test case modified for int type [#5012](https://github.com/apache/incubator-tvm/pull/5012)
   - Bug Fix for ARM CPUs. Lower strict assumption. [#5063](https://github.com/apache/incubator-tvm/pull/5063)
   - Triage the testcases to fit the the new namespaces [#5071](https://github.com/apache/incubator-tvm/pull/5071)
   - Add colors to compute_at edges and thread/block indices. [#5111](https://github.com/apache/incubator-tvm/pull/5111)
   - Temporary fix to the stack overflow issue in autotvm task extraction [#5019](https://github.com/apache/incubator-tvm/pull/5019)
   - Fix compilation of If-Elses [#5040](https://github.com/apache/incubator-tvm/pull/5040)
   - Fix CompilerAttrs [#5109](https://github.com/apache/incubator-tvm/pull/5109)
   - Fix the existing test cases before refactoring. [#5122](https://github.com/apache/incubator-tvm/pull/5122)
   - Fixed bug where shifting by out-of-bounds value results in no compute code being emitted. [#5115](https://github.com/apache/incubator-tvm/pull/5115)
   - Fix for issue #4831. The data_min_idx and data_max_idx were flipped. [#5136](https://github.com/apache/incubator-tvm/pull/5136)
   - Duplicate likely nodes added when loop axis split unevenly [#5084](https://github.com/apache/incubator-tvm/pull/5084)
   - Fix incorrect name of calibration mode [#5150](https://github.com/apache/incubator-tvm/pull/5150)
   - Remove contrib spatial pack schedule of depthwise convolution [#5148](https://github.com/apache/incubator-tvm/pull/5148)
   - Fix annotate pass static variable [#5023](https://github.com/apache/incubator-tvm/pull/5023)
   - Fixed ConvTranspose2D parsing [#5157](https://github.com/apache/incubator-tvm/pull/5157)
   - Nullptr check [#5176](https://github.com/apache/incubator-tvm/pull/5176)
   - rocm: fix miopen convolutions [#5179](https://github.com/apache/incubator-tvm/pull/5179)
   - rocm: fix dense_rocblas in strategy, topi [#5191](https://github.com/apache/incubator-tvm/pull/5191)
   - Bugfix in tensorflow space_to_batch_nd [#5175](https://github.com/apache/incubator-tvm/pull/5175)
   - Fix CRT static test bug ([#5293](https://github.com/apache/incubator-tvm/pull/5293))
   - Fix perf regression of tir refactor ([#5258](https://github.com/apache/incubator-tvm/pull/5258))
   - Bugfix in tensorflow space_to_batch_nd ([#5175](https://github.com/apache/incubator-tvm/pull/5175))
   - Compilation warnings fixed for 32bit and 64bit compilation ([#5349](https://github.com/apache/incubator-tvm/pull/5349))
   - Fix hang in MergeCompilerRegions ([#5227](https://github.com/apache/incubator-tvm/pull/5227))
   - Fixes to MergeCompilerRegions ([#5195](https://github.com/apache/incubator-tvm/pull/5195))
   - Fix generation of LLVM intrinsics ([#5282](https://github.com/apache/incubator-tvm/pull/5282))
   - Fix setting up hints for getaddrinfo ([#2872](https://github.com/apache/incubator-tvm/pull/2872))
   - Add ConstantNode to IsAtomic ([#5457](https://github.com/apache/incubator-tvm/pull/5457))
   - Fix String SEqual ([#5275](https://github.com/apache/incubator-tvm/pull/5275))
   - Fix fuse over functions that are handled by external codegen ([#5365](https://github.com/apache/incubator-tvm/pull/5365))
   - Fix memory leak when accessing NDArray ([#5413](https://github.com/apache/incubator-tvm/pull/5413))
   - Remove the duplicate PrintIR pass in Relay ([#5403](https://github.com/apache/incubator-tvm/pull/5403))
   - Fix lower_warp_memory ([#5247](https://github.com/apache/incubator-tvm/pull/5247))
   - Fix lower_warp_memory when there are >1 warp buffers ([#5368](https://github.com/apache/incubator-tvm/pull/5368))
   - Fix intel conv2d auto tune ([#5200](https://github.com/apache/incubator-tvm/pull/5200))
   - Fix FuseBatchNorm output cast error if need_cast is True [#4894](https://github.com/apache/incubator-tvm/pull/4894)
   - Fix an assertion exposed by loop vectorizer [#4916](https://github.com/apache/incubator-tvm/pull/4916)
   - Fix error message [#4945](https://github.com/apache/incubator-tvm/pull/4945)
   - Fix for recursive let [#5757](https://github.com/apache/incubator-tvm/pull/5757)
   - Fix Calibration Pass to Support Modules with Multiple Functions [#5768](https://github.com/apache/incubator-tvm/pull/5768)
   - Fix what looks like bizzare copy-paste issue [#6010](https://github.com/apache/incubator-tvm/pull/6010)
   - Fix bug in transpose_shape_func [#6180](https://github.com/apache/incubator-tvm/pull/6180)
   - Fix bugs in CUDA codegen ([#5209](https://github.com/apache/incubator-tvm/pull/5209))
   - Don’t remove() TemporaryFile in **del**. ([#5414](https://github.com/apache/incubator-tvm/pull/5414))
   - Fix test_ir_type. ([#5390](https://github.com/apache/incubator-tvm/pull/5390))
   - Fix multiple identical inputs bug ([#5389](https://github.com/apache/incubator-tvm/pull/5389))
   - Add cuda target check to dense tensorcore schedule. ([#5376](https://github.com/apache/incubator-tvm/pull/5376))
   - T2 test fixups ([#5391](https://github.com/apache/incubator-tvm/pull/5391))
   - Fix miopen padding ([#5433](https://github.com/apache/incubator-tvm/pull/5433))
   - Misc fixes for ROCm ([#5431](https://github.com/apache/incubator-tvm/pull/5431))
   - Fix copy constructor (#5237)
   - Corrected TVM autotuning on GPU ([#5432](https://github.com/apache/incubator-tvm/pull/5432))
   - Fix vector load ([#5226](https://github.com/apache/incubator-tvm/pull/5226))
   - Minor bugfix in message_passing.cc ([#5254](https://github.com/apache/incubator-tvm/pull/5254))
   - Fix a bug when vectorized load&store was involved for… ([#5428](https://github.com/apache/incubator-tvm/pull/5428))
   - Fix to skip node not in graph. ([#5238](https://github.com/apache/incubator-tvm/pull/5238))
   - Fix [#5388](https://github.com/apache/incubator-tvm/pull/5388) [RUNTIME][VULKAN] vkBuffer released before memory copy command se… ([#5418](https://github.com/apache/incubator-tvm/pull/5418))
   - Fix a minor error in device_annotation ([#5291](https://github.com/apache/incubator-tvm/pull/5291))
   - Fix scalar’s ndim is 0 ([#5344](https://github.com/apache/incubator-tvm/pull/5344))
   - Fix the runtime raise error [#5586](https://github.com/apache/incubator-tvm/pull/5586)
   - Fixed bug in attribute parsing for pool layers. #[5582](https://github.com/apache/incubator-tvm/pull/5582)
   - AutoTVM incorrect measurement [#5511](https://github.com/apache/incubator-tvm/pull/5511)
   - fix a min/max simplify bug [#5761](https://github.com/apache/incubator-tvm/pull/5761)
   - Rename tvm_dso_op to libtvm_dso_op [#5714](https://github.com/apache/incubator-tvm/pull/5714)
   - Fix generating types like float44 and float88 [#5722](https://github.com/apache/incubator-tvm/pull/5722)
   - Avoid downloading when TOPHUB_LOCATION is NONE [#5720](https://github.com/apache/incubator-tvm/pull/5720)
   - codegen llvm: move nvptx-specific intrinsic handling into codegen_nvptx [#5726](https://github.com/apache/incubator-tvm/pull/5726)
   - ROCm warp shuffles and reductions [#5727](https://github.com/apache/incubator-tvm/pull/5727)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Clarify downstream consistency of TVMArgTypeCode [#5742](https://github.com/apache/incubator-tvm/pull/5742)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - Make batch matrix multiplication on GPU tunable [#5752](https://github.com/apache/incubator-tvm/pull/5752)
   - update vulkan build rule [#5777](https://github.com/apache/incubator-tvm/pull/5777)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - Edit onnx parser to infer values in post order [#5755](https://github.com/apache/incubator-tvm/pull/5755)
   - Support symbolic inputs of Fill [#5762](https://github.com/apache/incubator-tvm/pull/5762)
   - support aten::type_as in the pytorch frontend [#5787](https://github.com/apache/incubator-tvm/pull/5787)
   - Temporary disable fp16 type_as test for PyTorch Frontend [#5799](https://github.com/apache/incubator-tvm/pull/5799)
   - Add config switch for nn.dense layer type. [#5801](https://github.com/apache/incubator-tvm/pull/5801)
   - Move cpu-only frontend tests to a CPU stage [#5807](https://github.com/apache/incubator-tvm/pull/5807)
   - Pin hand landmark network to version 0.7.4. [#5813](https://github.com/apache/incubator-tvm/pull/5813)
   - Limit number of threads in all jobs [#5815](https://github.com/apache/incubator-tvm/pull/5815)
   - Error msg update [#5818](https://github.com/apache/incubator-tvm/pull/5818)
   - fix relay.build to not change the module argument in place [#5822](https://github.com/apache/incubator-tvm/pull/5822)
   - Fix InferType when module contains Prelude [#5797](https://github.com/apache/incubator-tvm/pull/5797)
   - Add a combine batch_matmul pass [#5791](https://github.com/apache/incubator-tvm/pull/5791)
   - RepeatVector, Conv3DTranspose op support added [#5833](https://github.com/apache/incubator-tvm/pull/5833)
   - Fix converting serialized quantized models [#5839](https://github.com/apache/incubator-tvm/pull/5839)
   - ffi (Object): make class dict visible in instances [#5843](https://github.com/apache/incubator-tvm/pull/5843)
   - Additional canonicalization added for AddNode [#5846](https://github.com/apache/incubator-tvm/pull/5846)
   - Suppress the warning messages when compile engine selects impls [#5821](https://github.com/apache/incubator-tvm/pull/5821)
   - fix #5849 [#5851](https://github.com/apache/incubator-tvm/pull/5851)
   - Introduce POD-C Compliant tvm::Map [#5740](https://github.com/apache/incubator-tvm/pull/5740)
   - Add bfloat16 [#5601](https://github.com/apache/incubator-tvm/pull/5601)
   - Add Python Classes for all Attrs [#5853](https://github.com/apache/incubator-tvm/pull/5853)
   - Fix map assign issue in CI test [#5854](https://github.com/apache/incubator-tvm/pull/5854)
   - Introduce Target Id Registry [#5838](https://github.com/apache/incubator-tvm/pull/5838)
   - Update has_dtype/has_shape to pattern lang doc [#5847](https://github.com/apache/incubator-tvm/pull/5847)
   - Add nn.batch_flatten as quantizable. [#5805](https://github.com/apache/incubator-tvm/pull/5805)
   - Fail early before running invalid dynamic graphs [#5856](https://github.com/apache/incubator-tvm/pull/5856)
   - Improve type handling in PyTorch frontend [#5834](https://github.com/apache/incubator-tvm/pull/5834)
   - HotFix the python intrin rule [#5895](https://github.com/apache/incubator-tvm/pull/5895)
   - add a few gradients [#5899](https://github.com/apache/incubator-tvm/pull/5899)
   - Add Binary Intrinsic ops to TIR Ops in C++ [#5900](https://github.com/apache/incubator-tvm/pull/5900)
   - Allow implicit conversion in TVM FFI to tvm::Bool [#5907](https://github.com/apache/incubator-tvm/pull/5907)
   - PyTorch frontend: fix handling of duplicate use of a model weight [#5897](https://github.com/apache/incubator-tvm/pull/5897)
   - Don’t multiply by constant 1 uselessly in dense [#5911](https://github.com/apache/incubator-tvm/pull/5911)
   - Support any index matching for TupleGetItem [#5909](https://github.com/apache/incubator-tvm/pull/5909)
   - Add MicroTVM tutorial using the STM32F746 discovery board [#5655](https://github.com/apache/incubator-tvm/pull/5655)
   - Fix serialization of inf float value [#5912](https://github.com/apache/incubator-tvm/pull/5912)
   - Fix CPU Thread Binding for Multiple Sockets [#5918](https://github.com/apache/incubator-tvm/pull/5918)
   - CUDA device API & VerifyGPUCode pass update [#5898](https://github.com/apache/incubator-tvm/pull/5898)
   - Update install.rst [#5858](https://github.com/apache/incubator-tvm/pull/5858)
   - Two small fixes to AMDCPU codegen for LLVM 10+ and ROCm 3.5+ [#5920](https://github.com/apache/incubator-tvm/pull/5920)
   - Add LegalizeInvalidAttach to legalize the compute_at location after split or fuse [#591](https://github.com/apache/incubator-tvm/pull/5917)
   - Don’t rewrite expressions used outside of the pattern [#5930](https://github.com/apache/incubator-tvm/pull/5930)
   - Add TupleGetItem to CSE [#5931](https://github.com/apache/incubator-tvm/pull/5931)
   - Various update for CoreML codegen [#5934](https://github.com/apache/incubator-tvm/pull/5934)
   - Update date in the NOTICE [#5943](https://github.com/apache/incubator-tvm/pull/5943)
   - Raise right error in tensorflow split op [#5951](https://github.com/apache/incubator-tvm/pull/5951)
   - Add rm xla attributes in tf docs [#5950](https://github.com/apache/incubator-tvm/pull/5950)
   - Fix OpenCL get_valid_counts errors due to intrinsic atomic_add [#5857](https://github.com/apache/incubator-tvm/pull/5857)
   - Amendments for gradients [#5941](https://github.com/apache/incubator-tvm/pull/5941)
   - Fix the meaning of conv{1,2}d_transpose output_padding parameter. [#5758](https://github.com/apache/incubator-tvm/pull/5758)
   - Make first order gradient graphs more efficient [#5959](https://github.com/apache/incubator-tvm/pull/5959)
   - Raise an exception when extern function does not return Stmt [#5964](https://github.com/apache/incubator-tvm/pull/5964)
   - Improve docker/bash.sh to handle git worktrees [#5970](https://github.com/apache/incubator-tvm/pull/5970)
   - Install DNNL (OneDNN) to CI Environment [#5936](https://github.com/apache/incubator-tvm/pull/5936)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Add meshgrid op in Relay, TOPI, Pytorch frontend [#5961](https://github.com/apache/incubator-tvm/pull/5961)
   - Print right number of parentheses for LoadNode [#5965](https://github.com/apache/incubator-tvm/pull/5965)
   - Migrate data structure of TargetNode [#5960](https://github.com/apache/incubator-tvm/pull/5960)
   - Remove redundant function CreateBufferVecPtr [#5982](https://github.com/apache/incubator-tvm/pull/5982)
   - Fix string argument mismatch in GraphRuntimeCodegen [#5933](https://github.com/apache/incubator-tvm/pull/5933)
   - VectorType::get with two parameters is deprecated in LLVM 11+ [#5984](https://github.com/apache/incubator-tvm/pull/5984)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Fix building with LLVM-10 on macOS [#5859](https://github.com/apache/incubator-tvm/pull/5859)
   - Add cuda 11 to contrib.nvcc.find_libdevice_path() [#5902](https://github.com/apache/incubator-tvm/pull/5902)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Fix recursive let for well formed check [#5780](https://github.com/apache/incubator-tvm/pull/5780)
   - Recover global state after test_util.py [#5824](https://github.com/apache/incubator-tvm/pull/5824)
   - Fix bug in rpc ring buffer shrink [#5516](https://github.com/apache/incubator-tvm/pull/5516)
   - Fix remote device sync [#5538](https://github.com/apache/incubator-tvm/pull/5538)
   - Fix bug in rpc ring buffer shrink (#5516) [#5537](https://github.com/apache/incubator-tvm/pull/5537)
   - RPC Server error fix on Pynq FPGA [#5607](https://github.com/apache/incubator-tvm/pull/5607)
   - Fix FloorMod Simplifier [#5509](https://github.com/apache/incubator-tvm/pull/5509)
   - Fix Python debugger segfaults with TVM built with LLVM [#5685](https://github.com/apache/incubator-tvm/pull/5685)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Make "none" DataType explicit [#5491](https://github.com/apache/incubator-tvm/pull/5491)
   - Change "scalar" and "stack" in IDL from "inrout" to "in" [#5487](https://github.com/apache/incubator-tvm/pull/5487)
   - Link necessary libraries when building runtime for Android [#5496](https://github.com/apache/incubator-tvm/pull/5496)
   - Fixes for wasm32 target [#5489](https://github.com/apache/incubator-tvm/pull/5489)
   - Reset target and wait for runtime initialization on connect. [#5499](https://github.com/apache/incubator-tvm/pull/5499)
   - Bump tophub rocm version [#5504](https://github.com/apache/incubator-tvm/pull/5504)
   - Improve commentary for RingBuffer [#5518](https://github.com/apache/incubator-tvm/pull/5518)
   - Add unit tests for ONNX PRelu and fix importer to pass them. [#5521](https://github.com/apache/incubator-tvm/pull/5521)
   - LRN only supports 4D tensors, remove it from alter_op_layout [#5520](https://github.com/apache/incubator-tvm/pull/5520)
   - Fix an issue with ONNX Upsample [#5530](https://github.com/apache/incubator-tvm/pull/5530)
   - Cache PrimExpr instead of raw pointers in bound analyzer [#5533](https://github.com/apache/incubator-tvm/pull/5533)
   - fix a few bugs with shape inference and types in the ONNX importer [#5534](https://github.com/apache/incubator-tvm/pull/5534)
   - Add Onnx Pad v11 [#5539](https://github.com/apache/incubator-tvm/pull/5539)
   - Changes to cpp_rpc to make it work on Android (+ Hexagon offloading) [#5535](https://github.com/apache/incubator-tvm/pull/5535)
   - Fix to reduce RAM size during loading model [#5507](https://github.com/apache/incubator-tvm/pull/5507)
   - Fix MakeLoopNest for warp memory [#5382](https://github.com/apache/incubator-tvm/pull/5382)
   - Load platform specific lib for tvmdsoop instead of the hard-coded tvm_dso_op.so [#5542](https://github.com/apache/incubator-tvm/pull/5542)
   - Add tests for running micro on native arm hardware [#5546](https://github.com/apache/incubator-tvm/pull/5546)
   - Apparently, ONNX Conv with no 'pads' defaults to zero padding [#5548](https://github.com/apache/incubator-tvm/pull/5548)
   - clang-format the h,cc,m files. [#5557](https://github.com/apache/incubator-tvm/pull/5557)
   - Fix conv2d alter op for arm cpu [#5532](https://github.com/apache/incubator-tvm/pull/5532)
   - Fix topi test (/topi/tests/python/test_topi_conv2d_nhwc_winograd.py) for non tensorcore CI. [#5563](https://github.com/apache/incubator-tvm/pull/5563)
   - Add clang-format and nodejs to ci-lint [#5567](https://github.com/apache/incubator-tvm/pull/5567)
   - Enable clang-format. [#5572](https://github.com/apache/incubator-tvm/pull/5572)
   - Allow ubuntu_install_darknet.sh to work in both 18.04 and 16.04 [#5574](https://github.com/apache/incubator-tvm/pull/5574)
   - Add a quantized conv2 unit test for the tflite front-end [#5558](https://github.com/apache/incubator-tvm/pull/5558)
   - Fix JSON graph dumping. [#5591](https://github.com/apache/incubator-tvm/pull/5591)
   - Warp level reduction support for CUDA [#5498](https://github.com/apache/incubator-tvm/pull/5498)
   - One more fix for concurrency count [#5589](https://github.com/apache/incubator-tvm/pull/5589)
   - Improve robustness of the docs build [#5583](https://github.com/apache/incubator-tvm/pull/5583)
   - Phase out WebGL [#5570](https://github.com/apache/incubator-tvm/pull/5570)
   - Fix vulkansdk in the ci-gpu and upgrade to 1.2.135 [#5566](https://github.com/apache/incubator-tvm/pull/5566)
   - Update ci-cpu to bionic [#5554](https://github.com/apache/incubator-tvm/pull/5554)
   - Overestimate binary size for microTVM compiled binaries. [#5590](https://github.com/apache/incubator-tvm/pull/5590)
   - Fix bug and re-enable RPC execution test [#5436](https://github.com/apache/incubator-tvm/pull/5436)
   - Add ostream formatters for TargetPtr/TargetVal. [#5592](https://github.com/apache/incubator-tvm/pull/5592)
   - Fix cross thread reduction [#5551](https://github.com/apache/incubator-tvm/pull/5551)
   - Fix TVMArray layout on device [#5599](https://github.com/apache/incubator-tvm/pull/5599)
   - Add debug mode to tempdir() [#5581](https://github.com/apache/incubator-tvm/pull/5581)
   - Represent alignment information in LLVM IR [#5598](https://github.com/apache/incubator-tvm/pull/5598)
   - Fix codegen for warp shuffle intrinsics [#5606](https://github.com/apache/incubator-tvm/pull/5606)
   - Fix Topological Order calculation for DFPattern Language [#5612](https://github.com/apache/incubator-tvm/pull/5612)
   - Global MaxPool3d and AvgPool3d support [#5098](https://github.com/apache/incubator-tvm/pull/5098)
   - Fix build error of iOS RPC [#5621](https://github.com/apache/incubator-tvm/pull/5621)
   - isn't a CallNode sometimes [#5623](https://github.com/apache/incubator-tvm/pull/5623)
   - Introduce config to PassContext. [#5631](https://github.com/apache/incubator-tvm/pull/5631)
   - CMAKE fix [#5630](https://github.com/apache/incubator-tvm/pull/5630)
   - Label Pattern Partitions [#5627](https://github.com/apache/incubator-tvm/pull/5627)
   - Extend AttrPattern to support CallNode and FunctionNode attributes [#5637](https://github.com/apache/incubator-tvm/pull/5637)
   - Increase bss section size. [#5660](https://github.com/apache/incubator-tvm/pull/5660)
   - Add buffer name when creating tensor bindings [#5670](https://github.com/apache/incubator-tvm/pull/5670)
   - µtvm debug improvements [#5648](https://github.com/apache/incubator-tvm/pull/5648)
   - enable amd_apu device on vulkan target [#5659](https://github.com/apache/incubator-tvm/pull/5659)
   - Support TupleWrapper as direct ancestor of control flow ops [#5639](https://github.com/apache/incubator-tvm/pull/5639)
   - add tvm.micro pydoc to sphinx [#5661](https://github.com/apache/incubator-tvm/pull/5661)
   - Add a regression testcase for #5674 [#5677](https://github.com/apache/incubator-tvm/pull/5677)
   - Fix C++ RPC build problem on Linux [#5671](https://github.com/apache/incubator-tvm/pull/5671)
   - Add a check Callback to the Pattern Paritioner [#5646](https://github.com/apache/incubator-tvm/pull/5646)
   - Call previous excepthook in tvm_excepthook. [#5675](https://github.com/apache/incubator-tvm/pull/5675)
   - Fix the shift column for scale_shift_nchw and scale_shift_nhwc in C topi [#5679](https://github.com/apache/incubator-tvm/pull/5679)
   - Support more dtypes for TVMDSOOp [#5694](https://github.com/apache/incubator-tvm/pull/5694)
   - In memory_plan, check if value is not None, instead of just checking value as boolean. [#5700](https://github.com/apache/incubator-tvm/pull/5700)
   - Fix flaky test_topi_pooling.py:test_adaptive_pool [#5736](https://github.com/apache/incubator-tvm/pull/5736)
   - Fix the values for test_fmod since it fails way too often otherwise [#5723](https://github.com/apache/incubator-tvm/pull/5723)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Clean WASM environment before build [#5759](https://github.com/apache/incubator-tvm/pull/5759)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - fix #5686: remove a overstrict assert in MakeAllreduce (#5686) [#5785](https://github.com/apache/incubator-tvm/pull/5785)
   - Improve Pattern Language Docs [#5676](https://github.com/apache/incubator-tvm/pull/5676)
   - Add missing expr visitor for any [#6082](https://github.com/apache/incubator-tvm/pull/6082)
   - Remove the tvm web from version update [#6122](https://github.com/apache/incubator-tvm/pull/6122)
   - Clear relay cache after every build & Clear warning message cache after autotvm task extraction [#6131](https://github.com/apache/incubator-tvm/pull/6131)
   - avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Use LocalRunner by default in the tutorial tune_relay_cuda.py [#6001](https://github.com/apache/incubator-tvm/pull/6001)
   - Undefined names: import os for line 324 & import re for line 308 [#6003](https://github.com/apache/incubator-tvm/pull/6003)
   - GitHub Actions upgrade to actions/setup-python@v2 [#6002](https://github.com/apache/incubator-tvm/pull/6002)
   - Only pass pythonpath for ci images [#6005](https://github.com/apache/incubator-tvm/pull/6005)
   - Auto-convert shuffle with single index to “extract element” [#6006](https://github.com/apache/incubator-tvm/pull/6006)
   - Cache object refs in loop partitioner instead of object pointers [#6004](https://github.com/apache/incubator-tvm/pull/6004)
   - Fix test_arith_solve_linear_inequality.py::test_multi_equal [#6014](https://github.com/apache/incubator-tvm/pull/6014)
   - MXNet frontend support for AMP cast op [#5976](https://github.com/apache/incubator-tvm/pull/5976)
   - Demo showing how to run a pruned model. [#5975](https://github.com/apache/incubator-tvm/pull/5975)
   - Move compiler related registry items to vta/build_module.py [#6012](https://github.com/apache/incubator-tvm/pull/6012)
   - Pin keras version [#6032](https://github.com/apache/incubator-tvm/pull/6032)
   - Fix in arm_cpu/conv2d_alter_op for NHWC quantized [#6027](https://github.com/apache/incubator-tvm/pull/6027)
   - Add creation of Hexagon device in RPC client [#6035](https://github.com/apache/incubator-tvm/pull/6035)
   - Terminate basic block after “ret” instruction [#6036](https://github.com/apache/incubator-tvm/pull/6036)
   - µTVM CRT modifications for on-device RPC server [#5921](https://github.com/apache/incubator-tvm/pull/5921)
   - Create TBAA information based on the unrelying buffer type [#6046](https://github.com/apache/incubator-tvm/pull/6046)
   - Add support for tflite arg_min and arg_max [#5992](https://github.com/apache/incubator-tvm/pull/5992)
   - Fix fully_connected converter when batch size is not 1 [#6038](https://github.com/apache/incubator-tvm/pull/6038)
   - Fix a primitive check error [#5991](https://github.com/apache/incubator-tvm/pull/5991)
   - Refactor to expose MakeOp functions to C++ [#6047](https://github.com/apache/incubator-tvm/pull/6047)
   - Fix conv2_gemm after target structure update [#6037](https://github.com/apache/incubator-tvm/pull/6037)
   - Remove use of designated initializers from hexagon_module.cc [#6055](https://github.com/apache/incubator-tvm/pull/6055)
   - Build crttest and cpptest separately. [#6057](https://github.com/apache/incubator-tvm/pull/6057)
   - Fix pytorch frontend prim::Constant issue [#6051](https://github.com/apache/incubator-tvm/pull/6051)
   - update frontend tutorials to new model based runtime interface [#6063](https://github.com/apache/incubator-tvm/pull/6063)
   - Remove unnecessary std::cout [#6072](https://github.com/apache/incubator-tvm/pull/6072)
   - Fix error message in Buffer::vstore, NFC [#6056](https://github.com/apache/incubator-tvm/pull/6056)
   - Fix FSIM Compile Error. [#6070](https://github.com/apache/incubator-tvm/pull/6070)
   - Improve vector simplification for float operands [#6043](https://github.com/apache/incubator-tvm/pull/6043)
   - Fix LocalBuilder on macOS with python 3.8. [#6083](https://github.com/apache/incubator-tvm/pull/6083)
   - Add missing test for fast erf [#6058](https://github.com/apache/incubator-tvm/pull/6058)
   - Fixed point multiplication improvements for AArch64 [#5980](https://github.com/apache/incubator-tvm/pull/5980)
   - Fix code generation bugs for C/CUDA & Improve VerifyGPUCode pass [#6041](https://github.com/apache/incubator-tvm/pull/6041)
   - Delete declaration of unused op_node [#6102](https://github.com/apache/incubator-tvm/pull/6102)
   - Load configs even it has no entity [#6100](https://github.com/apache/incubator-tvm/pull/6100)
   - Update SGX example Cargo.toml [#6067](https://github.com/apache/incubator-tvm/pull/6067)
   - Add default value for option USE_DNNL_CODEGEN in the cmake [#6099](https://github.com/apache/incubator-tvm/pull/6099)
   - Update installation doc with minor improvements [#6104](https://github.com/apache/incubator-tvm/pull/6104)
   - lint: add opencl .cl file type [#6092](https://github.com/apache/incubator-tvm/pull/6092)
   - Clean up conversions between TVM and Rust functions [#6114](https://github.com/apache/incubator-tvm/pull/6114)
   - Improve reduction schedule on arm CPUs [#6110](https://github.com/apache/incubator-tvm/pull/6110)
   - Register Shape Func for Some Operators to Handle Dynamic Shapes [#5955](https://github.com/apache/incubator-tvm/pull/5955)
   - Fix variable name conflict with OpenCL keyword [#6048](https://github.com/apache/incubator-tvm/pull/6048)
   - Some rust cleanups [#6116](https://github.com/apache/incubator-tvm/pull/6116)
   - Option to specify alternate directory to output build to [#6016](https://github.com/apache/incubator-tvm/pull/6016)
   - Add ‘get_num_inputs’ to GraphRuntime [#6118](https://github.com/apache/incubator-tvm/pull/6118)
   - TFLite quantized conv test [#6084](https://github.com/apache/incubator-tvm/pull/6084)
   - Fix autotvm on the conv2d_nchw_winograd.mali operator [#6130](https://github.com/apache/incubator-tvm/pull/6130)
   - add attr option mfloat-abi for arm32 [#6123](https://github.com/apache/incubator-tvm/pull/6123)
   - Fix CUDA Library Tuning [#6132](https://github.com/apache/incubator-tvm/pull/6132)
   - Add missing RPC sources after refactor [#6113](https://github.com/apache/incubator-tvm/pull/6113)
   - Correct runtime.load_module [#6161](https://github.com/apache/incubator-tvm/pull/6161)
   - Improve error messages in graph tuner, graph runtime, and module loader. [#6148](https://github.com/apache/incubator-tvm/pull/6148)
   - Fix some shape mismatches between TF and Relay [#6166](https://github.com/apache/incubator-tvm/pull/6166)
   - Improve doc string [#6176](https://github.com/apache/incubator-tvm/pull/6176)
   - Fix incorrect function signature in header [#6172](https://github.com/apache/incubator-tvm/pull/6172)
   - Fix alignment of note [#6181](https://github.com/apache/incubator-tvm/pull/6181)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223))
   - Avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Added casting to hybrid script doc and fixed pass infra doc [#6174](https://github.com/apache/incubator-tvm/pull/6174)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   - Fix cuda half math function is undefined: hpow, htanh [#6225](https://github.com/apache/incubator-tvm/pull/6225)
   - Fix division range estimation error in simplifier [#6244](https://github.com/apache/incubator-tvm/pull/6244)
   - Fix newer GCC compiler warnings. [#6257](https://github.com/apache/incubator-tvm/pull/6257)
   - Support _contrib_SyncBatchNorm [#6245](https://github.com/apache/incubator-tvm/pull/6245)
   - Fix reduction [#6250](https://github.com/apache/incubator-tvm/pull/6250)
   - Add apt repository for clang-11 and llvm-11 [#6256](https://github.com/apache/incubator-tvm/pull/6256)
   - Update tutorial to new TARGET as micro_dev is no more [#6262](https://github.com/apache/incubator-tvm/pull/6262)
   - Fix clang-format [#6264](https://github.com/apache/incubator-tvm/pull/6264)
   - Trivial fix, up the rodata section for the discovery board to 512 bytes. [#6259](https://github.com/apache/incubator-tvm/pull/6259)
   - Fix cuda half math function is undefined: hpow, htanh [#6253](https://github.com/apache/incubator-tvm/pull/6253)
   - Add dilation in x86 NCHWc depthwise conv support [#6267](https://github.com/apache/incubator-tvm/pull/6267)
   - Decrease test times by introducing testing model [#6235](https://github.com/apache/incubator-tvm/pull/6235)
   - Add support for parsing the any dimension. [#6277](https://github.com/apache/incubator-tvm/pull/6277)
   - Improve error messages for memory verifier and gpu memory verifier [#6281](https://github.com/apache/incubator-tvm/pull/6281)
   - Reflect Compile-Time CMake Options into [libtvm.so](http://libtvm.so/) [#6280](https://github.com/apache/incubator-tvm/pull/6280)
   - Add cmake options into libinfo [#6286](https://github.com/apache/incubator-tvm/pull/6286)
   - Update slice to infer attributes when not graph inputs [#6276](https://github.com/apache/incubator-tvm/pull/6276)
   - Use rpc.LocalSession for simple tests [#6294](https://github.com/apache/incubator-tvm/pull/6294)
   - Fix random fail [#6312](https://github.com/apache/incubator-tvm/pull/6312)
   - Fix resize test [#6298](https://github.com/apache/incubator-tvm/pull/6298)
   - Fix cython FFI compact with np.int64 [#6321](https://github.com/apache/incubator-tvm/pull/6321)
   - Fix relay vm optimize [#6322](https://github.com/apache/incubator-tvm/pull/6322)
   - Changed TVMCTVMContext to TVMContext [#6306](https://github.com/apache/incubator-tvm/pull/6306)
   - Make able to compile with MSVC [#6341](https://github.com/apache/incubator-tvm/pull/6341)
   - ROCm changed name of library and removed the old one in ROCm 3.7 release. [#6345](https://github.com/apache/incubator-tvm/pull/6345)
   - Compatible for ROCm before 3.7 [#6359](https://github.com/apache/incubator-tvm/pull/6359)
   - Use clear name that is separate from ASF brand for cache [#6360](https://github.com/apache/incubator-tvm/pull/6360)
   - Fix Dockerfile.demo_android [#6361](https://github.com/apache/incubator-tvm/pull/6361)
   - Fx sparse dense schedule on cuda [#5803](https://github.com/apache/incubator-tvm/pull/5803)
   - Fix strategy for sparse dense cuda [#5782](https://github.com/apache/incubator-tvm/pull/5782)
   - Fix x86 conv2d template when tuning with unpacked layout [#5938](https://github.com/apache/incubator-tvm/pull/5938)
   - Fix the filter width parameter in depthwise_conv2d [#6081](https://github.com/apache/incubator-tvm/pull/6081)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Missing header [#4865](https://github.com/apache/incubator-tvm/pull/4865)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   - Simplify reduce expression in te.gradient #6611
   
   # Known Issues
   
   # Deprecation
   
   - Deprecating NNVM ([#4535](https://github.com/apache/incubator-tvm/pull/4535), [#4562](https://github.com/apache/incubator-tvm/pull/4562), [#4565](https://github.com/apache/incubator-tvm/pull/4565), [#4571](https://github.com/apache/incubator-tvm/pull/4571))
   - Deprecate FreeStmt [#5890](https://github.com/apache/incubator-tvm/pull/5890)
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - Deprecate OpenGL [#5711](https://github.com/apache/incubator-tvm/pull/5711), [#5712](https://github.com/apache/incubator-tvm/pull/5712)


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   - Enable random fill and CPU cache flush for AutoTVM and Ansor (#6391)
   - Auto-scheduler tutorial for GPU and necessary refactor/fix (#6512)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   - [BYOC][ETHOSN] Introduce further operator support (#6355)
   - [BYOC][JSON] Support input nodes with multiple entries (#6368)
   - [BYOC][ACL] Add maximum support for float32 (#6506)
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)
   
   


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[GitHub] [incubator-tvm] ZihengJiang removed a comment on issue #6486: [WIP] TVM v0.7 Release Note Draft

Posted by GitBox <gi...@apache.org>.

ZihengJiang removed a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-692966769






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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-701059777


   I will add an `API Changes` section before `Deprecation`.


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-702472106


   ## API Changes
   ### DataType to runtime
   
   - Rationale: DataType is a runtime data structure
   - PRs https://github.com/apache/incubator-tvm/pull/4560
   - Rename all old reference of tvm::Type to DataType
   - ExprNode.type -> ExprNode.dtype, Expr.type() -> Expr.dtype()
   - Move type constructors as static function: Int(bits) -> DataType::Int(bits)
   
   ### Node Object Unification
   
   - Rationale: remove a few redirected macros and alias, unify node and object
   - PRs: https://github.com/apache/incubator-tvm/pull/4603
   - NodeXYZ -> ObjectXYZ
   - TVM_DEFINE_NODE_REF: define the class and TVM_DEFINE_OBJECT_REF_METHODS
   
   ### IRMutator/Visitor Functor Unification
   
   - Rationale: Unify mutator and functor
   - PRs: https://github.com/apache/incubator-tvm/pull/4607 https://github.com/apache/incubator-tvm/pull/4606
   - Add ```#include<tvm/tir/stmt_functor.h>``` for places that need mutator
   - IRMutator: sub-class StmtMutator or StmtExprMutator instead
   - IRVisitor: sub-class StmtVisitor or StmtExprVisitor instead
   
   ### TVM_REGISTER_API -> TVM_REGISTER_GLOBAL
   
   - Rationale: remove indirection
   - PR: https://github.com/apache/incubator-tvm/pull/4621 
   - Rename to TVM_REGISTER_GLOBAL in ```runtime/registry.h```
   
   ### SeqStmt
   
   - Rationale: avoid nested recursion in long blocks
   - PR https://github.com/apache/incubator-tvm/pull/4627
   - Use SeqStmt instead to constructs sequences
   
   ### tir::Call.name -> op
   
   - Use op(RelayExpr) to replace the string name. see https://github.com/apache/incubator-tvm/pull/5863
   - Remove the call_type field https://github.com/apache/incubator-tvm/pull/5937
   
   ### IRPrinter -> ReprPrinter
   
   - Rationale: repr printer is shared across all variants in the stack
   - PRs https://github.com/apache/incubator-tvm/pull/4622 https://github.com/apache/incubator-tvm/pull/4752
   - Rename IRPrinter -> ReprPrinter
   
   ### set_body_typed
   
   - Rationale: avoid duplication in terms of type signatures
   - https://github.com/apache/incubator-tvm/pull/4623
   - Remove type signature argument in set_body_typed 
   ```c++
   // before
   TVM_REGISTER_GLOBAL("add")
   .set_body_typed<int(int)>([](int x) { return x + 1; }
   
   // after
   TVM_REGISTER_GLOBAL("add")
   .set_body_typed([](int x) { return x + 1; }
   ```
   
   ### Node suffix Convention
   
   - Rationale: unify the naming convention throughout the codebase see also https://github.com/apache/incubator-tvm/issues/4648
   - PRs https://github.com/apache/incubator-tvm/pull/4649
   - Add Node suffix to low level IR nodes
   - Add ObjectRef classes to the TIR nodes
    - https://github.com/apache/incubator-tvm/pull/5773
    - https://github.com/apache/incubator-tvm/pull/5778
    - https://github.com/apache/incubator-tvm/pull/5784
   
   ### tvm::Expr -> PrimExpr
   
   - Rationale: the low-level expression is renamed to "primitive" expression in order to bring more unifications.
   - PR https://github.com/apache/incubator-tvm/pull/4669
   -  tvm::Expr -> PrimExpr, ExprHash/ExprEqual->ObjectHash/ObjectEqual, VarExpr->Var
   
   ### Relay Type/Module/Op
   - Rationale: unify type system, and module across the stack.
   - PRs  https://github.com/apache/incubator-tvm/pull/4616 https://github.com/apache/incubator-tvm/pull/4678  https://github.com/apache/incubator-tvm/pull/4699
   - tvm/relay/module.h -> tvm/ir/module.h
   - relay::Module -> IRModule
   
   ### New Subfolders and Namespaces
   - ir: Common set of types and IR structures
      - attrs.h -> ir/attrs.h https://github.com/apache/incubator-tvm/pull/4709
   - arith: Arithmetic simplification and integer analysis
      - arithmetic.h -> arith/analyzer.h arith/bound.h arith/int_set.h arith/pattern.h 
      - https://github.com/apache/incubator-tvm/pull/4722
   - target: Target dependent information and codegen
     - target_info.h -> target/target_info.h https://github.com/apache/incubator-tvm/pull/4721
     - codegen.h -> target/codegen.h https://github.com/apache/incubator-tvm/pull/4742
   - te namespace: Tensor expression DSL(compute and schedule)
      - Add namespace to compute/schedule
      - operation.h -> te/operation.h
      - schedule.h -> te/schedule.h
      - schedule_pass.h -> te/schedule_pass.h
      - tensor.h -> te/tensor.h
      -  https://github.com/apache/incubator-tvm/pull/4727, https://github.com/apache/incubator-tvm/pull/4759
   - tir namespace: tensor-level IR 
     - lowered_func.h,buffer.h,data_layout.h -> tir/buffer.h,tir/data_layout.h,tir/lowered_func.h
     - ir.h -> tir/expr.h, tir/stmt.h
     - ir_functor_ext.h -> tir/expr_functor.h, tir/stmt_functor.h
     - https://github.com/apache/incubator-tvm/pull/4740
   
   ### LoweredFunc
   TIR uses IRModule as basic unit of transformation instead of LoweredFunc.
   - https://github.com/apache/incubator-tvm/pull/5233
   
   ### ir_pass.h
   
   - The IRModule->IRModule transformations are moved to tir/transform.h
   - The IRModule->Analaysis result passes are moved to tir/analysis.h
   
   ### Simplify
   - Simplify function is removed, use Analyzer in arith/analyzer.h instead
   - https://github.com/apache/incubator-tvm/pull/5385
   
   ### BuildConfig
   - BuildConfig-> PassContext 
   https://github.com/apache/incubator-tvm/pull/5668
   
   ### Runtime Misc
   - ThreadScope::make -> ThreadScope::Create
   - StorageScope::make -> StorageScope::Create
   - https://github.com/apache/incubator-tvm/pull/5784
   
   ### tvm.module -> tvm.runtime.module
   API changes wrt to runtime.Module https://github.com/apache/incubator-tvm/pull/4837
   - tvm.module.load -> tvm.runtime.load_module
   - tvm.module.enabled -> tvm.runtime.enabled
   - tvm.module.system_lib -> tvm.runtime.system_lib
   
   ### tvm.ir
   API changes wrt to tvm.ir https://github.com/apache/incubator-tvm/pull/4862
   - tvm.relay.Module -> tvm.IRModule
   
   ### tvm.target
   API change wrt to tvm.target https://github.com/apache/incubator-tvm/pull/4872
   
   ### tvm.te
   
   API change wrt to https://github.com/apache/incubator-tvm/pull/4943
   
   - tvm.create_schedule -> tvm.te.create_schedule
   - tvm.placeholder -> tvm.te.placeholder
   - tvm.compute -> tvm.te.compute
   
   
   


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[GitHub] [incubator-tvm] ZihengJiang removed a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang removed a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659713


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)
   
   ## Operator Coverage
   
   - Allow empty tensor for reshape, tile and strided_slice [#4618](https://github.com/apache/incubator-tvm/issues/4618)
   - Fix meaning of conv2d_transpose output_padding parameter"; [#4708](https://github.com/apache/incubator-tvm/issues/4708)
   - Remove cpp upsampling and resize op [#4769](https://github.com/apache/incubator-tvm/issues/4769)
   - upsample operator 'NCHWinic' format support. [#4791](https://github.com/apache/incubator-tvm/pull/4791)
   - Injective schedule improvement [#4786](https://github.com/apache/incubator-tvm/pull/4786)
   - Enable vectorization on fp16 type [#4867](https://github.com/apache/incubator-tvm/pull/4867)
   - Support for Int8 schedules - CUDA/x86 [#5031](https://github.com/apache/incubator-tvm/pull/5031)
   - New PR to re-add tan to TVM [#5025](https://github.com/apache/incubator-tvm/pull/5025)
   - Register topi schedule for Relay fast_exp and fast_tanh [#5131](https://github.com/apache/incubator-tvm/pull/5131)
   - Move Dilation2d from nn to image namespace [#5110](https://github.com/apache/incubator-tvm/pull/5110)
   - Use Thrust sort for argsort and topk [#5097](https://github.com/apache/incubator-tvm/pull/5097)
   - Conv2d and Dense ops support on Tensor Core [#5099](https://github.com/apache/incubator-tvm/pull/5099)
   - Setting workload correctly for Depthwise Spatial conv ARM. [#5182](https://github.com/apache/incubator-tvm/pull/5182)
   - Adding a few missing math intrin [#5011](https://github.com/apache/incubator-tvm/pull/5011)
   - Missing vectorize for depthwise conv2d. [#5196](https://github.com/apache/incubator-tvm/pull/5196)
   - [TOPI] Using x86 schedules for ARM conv2d ([#5334](https://github.com/apache/incubator-tvm/pull/5334))
   - [TOPI-ARM] Do not alter layout if layout is NHWC ([#5350](https://github.com/apache/incubator-tvm/pull/5350))
   - [TOPI] Setting workload correctly for Depthwise Spatial conv ARM. ([#5182](https://github.com/apache/incubator-tvm/pull/5182))
   - [Relay][OP] Add fast_erf implementation ([#5241](https://github.com/apache/incubator-tvm/pull/5241))
   - [Topi] Tensorcore support for Conv3D ([#5284](https://github.com/apache/incubator-tvm/pull/5284))
   - [intrin] a few more math functions ([#5468](https://github.com/apache/incubator-tvm/pull/5468))
   - [Intrinsic] Add log1p, ldexp, atan2, hypot, nextafter, copysign ([#5312](https://github.com/apache/incubator-tvm/pull/5312))
   - [relay][topi] Add operation relay.nn.dilate() which calls topi.nn.dilate() ([#5331](https://github.com/apache/incubator-tvm/pull/5331))
   - [Topi x86] Missing vectorize for depthwise conv2d. ([#5196](https://github.com/apache/incubator-tvm/pull/5196))
   - [TOPI x86] Adding unroll_kw config option for depthwise conv2d. (#5197)
   - [Topi] Breakdown [topi.cc](http://topi.cc/) into smaller files ([#5253](https://github.com/apache/incubator-tvm/pull/5253))
   - ReduceLogSumExp Operator support [#5453](https://github.com/apache/incubator-tvm/pull/5453)
   - Math ops added [#5502](https://github.com/apache/incubator-tvm/pull/5502)
   - Enable blocking format in x86 conv2d and fold scale axis [#5357](https://github.com/apache/incubator-tvm/pull/5357)
   - Add operation gather to relay. [#5716](https://github.com/apache/incubator-tvm/pull/5716)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Fix bifrost spatial packing conv2d auto tune [#5684](https://github.com/apache/incubator-tvm/pull/5684)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - Improve CUDA softmax scheduling [#5600](https://github.com/apache/incubator-tvm/pull/5600)
   - block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746)
   - pass-by-value -> pass-by-const-reference [#5783](https://github.com/apache/incubator-tvm/pull/5783)
   - Using MKL blas for quantized dense [#6115](https://github.com/apache/incubator-tvm/pull/6115)
   - topi -> tvm/topi [#6186](https://github.com/apache/incubator-tvm/pull/6186)
   - Use auto-tuner to improve conv2d_gemm performance [#6117](https://github.com/apache/incubator-tvm/pull/6117)
   - Improve CUDA conv2d_transpose_nchw [#4762](https://github.com/apache/incubator-tvm/issues/4762)
   - Add CUDA conv2d for NHWC layout [#4737](https://github.com/apache/incubator-tvm/issues/4737)
   - conv3d_ndhwc schedule [#4775](https://github.com/apache/incubator-tvm/issues/4775)
   - Fast exponent [#4790](https://github.com/apache/incubator-tvm/pull/4790)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Split MKL from BLAS. [#6182](https://github.com/apache/incubator-tvm/pull/6182)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Gather op support added [#6013](https://github.com/apache/incubator-tvm/pull/6013)
   
   ## Runtime and Backend
   
   - Cythonize NDArray.copyto ([#4549](https://github.com/apache/incubator-tvm/pull/4549))
   - Unified Object System runtime refactor ([#4578](https://github.com/apache/incubator-tvm/pull/4578), [#4581](https://github.com/apache/incubator-tvm/pull/4581), [#4603](https://github.com/apache/incubator-tvm/pull/4603))
   - VM profiler: sort VM stats by time ([#4601](https://github.com/apache/incubator-tvm/pull/4601))
   - Update RPC runtime to allow remote module as arg ([#4462](https://github.com/apache/incubator-tvm/pull/4462))
   - Refactorying system lib and dso lib into library module ([#4481](https://github.com/apache/incubator-tvm/pull/4481))
   - Improve TSIM virtual memory mapping ([#4545](https://github.com/apache/incubator-tvm/pull/4545))
   - make adt tag signed [#4605](https://github.com/apache/incubator-tvm/issues/4605)
   - Improve TVMBackendPackedCFunc to allow return val [#4637](https://github.com/apache/incubator-tvm/issues/4637)
   - EdgeTPU runtime for Coral Boards [#4698](https://github.com/apache/incubator-tvm/issues/4698)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/issues/4811)
   - Fix memory leakage of TVMByteArray [#4856](https://github.com/apache/incubator-tvm/pull/4856)
   - Fix TVM_DLL_EXPORT_TYPED_FUNC to work on Windows [#4955](https://github.com/apache/incubator-tvm/pull/4955)
   - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/pull/4811)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - MISRA-C compliant TVM runtime [#3934](https://github.com/apache/incubator-tvm/pull/3934)
   - Update the type_keys to reflect the code-org [#5074](https://github.com/apache/incubator-tvm/pull/5074)
   - Fix AttrEqual for Array and StrMap, double [#5054](https://github.com/apache/incubator-tvm/pull/5054)
   - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002)
   - Fix unused-value warning [#5140](https://github.com/apache/incubator-tvm/pull/5140)
   - crt error handling [#5147](https://github.com/apache/incubator-tvm/pull/5147)
   - Bundle deployment with static linking [#5158](https://github.com/apache/incubator-tvm/pull/5158)
   - Implemented kDLCPUPinned (cudaMallocHost) [#4985](https://github.com/apache/incubator-tvm/pull/4985)
   - Explicitly cast min/max operands [#5090](https://github.com/apache/incubator-tvm/pull/5090)
   - ref_counter -> ref_counter_ [#5184](https://github.com/apache/incubator-tvm/pull/5184)
   - Expose runtime::String to Python ([#5212](https://github.com/apache/incubator-tvm/pull/5212))
   - [PY][FFI] Refactor runtime.String to subclass str ([#5426](https://github.com/apache/incubator-tvm/pull/5426))
   - [RUNTIME] Auto conversion from str to runtime::String in PackedFUnc ([#5251](https://github.com/apache/incubator-tvm/pull/5251))
   - [RUNTIME] Improved Packed FFI for optional. ([#5478](https://github.com/apache/incubator-tvm/pull/5478))
   - [Hexagon] Add hexagon_posix.cc to TVM/RT sources in the right place (#5346)
   - [PY][FFI] Refactor runtime.String to subclass str (#5426)
   - Fix workspace [#5503](https://github.com/apache/incubator-tvm/pull/5503)
   - Store nullptr PackedFunc as nullptr for better error propagation [#5540](https://github.com/apache/incubator-tvm/pull/5540)
   - Improve PackedFunc robustness [#5517](https://github.com/apache/incubator-tvm/pull/5517)
   - Seg fault in WorkspacePool's destructor (#5632) [#5636](https://github.com/apache/incubator-tvm/pull/5636)
   - Resolve constexpr issue in debug mode. [#5651](https://github.com/apache/incubator-tvm/pull/5651)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Call sync in CopyFromRemote and CopyToRemote [#5512](https://github.com/apache/incubator-tvm/pull/5512)
   - Fix the multihop cpu case [#5522](https://github.com/apache/incubator-tvm/pull/5522)
   - Improve RPCServer AsyncIO support. [#5544](https://github.com/apache/incubator-tvm/pull/5544)
   - Modularize the RPC infra [#5484](https://github.com/apache/incubator-tvm/pull/5484)
   - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751)
   - Overload string operators [#5806](https://github.com/apache/incubator-tvm/pull/5806)
   - Only initialize required module [#5926](https://github.com/apache/incubator-tvm/pull/5926)
   - if a param not in input, we should still consume it’s data [#5990](https://github.com/apache/incubator-tvm/pull/5990)
   - init TVMPackedFunc’s name [#6044](https://github.com/apache/incubator-tvm/pull/6044)
   - Enable auto conversion String->DLDataType [#6214](https://github.com/apache/incubator-tvm/pull/6214)
   - Support random fill [#5913](https://github.com/apache/incubator-tvm/pull/5913)
   - Use new to avoid exit-time de-allocation order [#6292](https://github.com/apache/incubator-tvm/pull/6292)
   - Add parallel_for support to run a loop in parallel [#6275](https://github.com/apache/incubator-tvm/pull/6275)
   - Solve ARM BIG.LITTLE heterogeneous multicores [#4747](https://github.com/apache/incubator-tvm/issues/4747)
   - [RUNTIME] Quick fix PackedFunc String passing ([#5266](https://github.com/apache/incubator-tvm/pull/5266))
   - Introduce runtime::String::CanConvertFrom [#5718](https://github.com/apache/incubator-tvm/pull/5718)
   - Restore the StrMap behavior in JSON/SHash/SEqual [#5719](https://github.com/apache/incubator-tvm/pull/5719)
   - Support overriding RPCWatchdog termination behavior on Android and other platforms [#6216](https://github.com/apache/incubator-tvm/pull/6216)
   - Set NDArray::Container.shape_ in NDArray::FromDLPack ([#5301](https://github.com/apache/incubator-tvm/pull/5301))
   - Enable x86 cpu cache flush [#5914](https://github.com/apache/incubator-tvm/pull/5914)


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[GitHub] [incubator-tvm] tqchen commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

tqchen commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-700395194


   Good point, perhaps we could add some of the python related update guides in https://github.com/apache/incubator-tvm/issues/4647


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   - Enable random fill and CPU cache flush for AutoTVM and Ansor (#6391)
   - Auto-scheduler tutorial for GPU and necessary refactor/fix (#6512)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)
   
   


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[GitHub] [incubator-tvm] ZihengJiang removed a comment on issue #6486: [WIP] TVM v0.7 Release Note Draft

Posted by GitBox <gi...@apache.org>.

ZihengJiang removed a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-692966769


   I have opened a gist for monthly reports from last v0.6 release: https://gist.github.com/ZihengJiang/6d3440ec22852dc9baae2e3f278ad8b4
   
   We can start organizing the monthly reports to the release note template. @zhiics @tqchen 


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)


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[GitHub] [incubator-tvm] ZihengJiang commented on issue #6486: [WIP] TVM v0.7 Release Note Draft

Posted by GitBox <gi...@apache.org>.

ZihengJiang commented on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-692966769


   I have opened a gist for monthly reports from last v0.6 release: https://gist.github.com/ZihengJiang/6d3440ec22852dc9baae2e3f278ad8b4
   
   We can start organizing the monthly reports to the release note template. @zhiics @tqchen 


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[GitHub] [incubator-tvm] ZihengJiang removed a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang removed a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698661678


   # Bug Fixes
   
   - Add bfloat16 typeflag support ([#4525](https://github.com/apache/incubator-tvm/pull/4525))
   - MSVC / Windows fixes ([#4455](https://github.com/apache/incubator-tvm/pull/4455), [#4569](https://github.com/apache/incubator-tvm/pull/4569))
   - Fix Makefile for howto_deploy ([#4457](https://github.com/apache/incubator-tvm/pull/4457/files))
   - Fix GCC 4.8 compact ([#4461](https://github.com/apache/incubator-tvm/pull/4461))
   - Fix search path to build libtvm_topi.so ([#4467](https://github.com/apache/incubator-tvm/pull/4467))
   - Fix for conv2d_transpose CUDA compilation ([#4472](https://github.com/apache/incubator-tvm/pull/4472))
   - Fix for LLVM 10.0 codegen ([#4480](https://github.com/apache/incubator-tvm/pull/4480), [#4515](https://github.com/apache/incubator-tvm/pull/4515))
   - Fix alter op layout when calling global var ([#4454](https://github.com/apache/incubator-tvm/pull/4454))
   - Fix float2half_rn support for cuda compute capabilities < 53 ([#4489](https://github.com/apache/incubator-tvm/pull/4489))
   - Fix compile errors for OpenCL backends ([#4492](https://github.com/apache/incubator-tvm/pull/4492))
   - Fix serialization precision loss ([#4503](https://github.com/apache/incubator-tvm/pull/4503))
   - Fix hybrid script to support array of tensors ([#4494](https://github.com/apache/incubator-tvm/pull/4494))
   - Fix annotation for multiply op ([#4458](https://github.com/apache/incubator-tvm/pull/4458))
   - Fix Dockerfile for linter CI ([#4506](https://github.com/apache/incubator-tvm/pull/4506))
   - Fix TF resize for dynamic size models ([#4510](https://github.com/apache/incubator-tvm/pull/4510))
   - Fix bias_add gradient ([#4516](https://github.com/apache/incubator-tvm/pull/4516))
   - Fix tanH unit test function call ([#4517](https://github.com/apache/incubator-tvm/pull/4517))
   - Fix extra reshape parameter for ONNX ([#4524](https://github.com/apache/incubator-tvm/pull/4524))
   - Fix crash caused by empty TOPI config ([#4520](https://github.com/apache/incubator-tvm/pull/4520))
   - Fix ONNX shape op type to use int64 ([#4528](https://github.com/apache/incubator-tvm/pull/4528))
   - Fix crash in TSIM virtual memory driver ([#4527](https://github.com/apache/incubator-tvm/pull/4527))
   - Replace deprecated python library in setup script ([#4533](https://github.com/apache/incubator-tvm/pull/4533))
   - Fix NMS max_output_size loop ([#4541](https://github.com/apache/incubator-tvm/pull/4541))
   - Fix style in IR mutator and IR visitor ([#4561](https://github.com/apache/incubator-tvm/pull/4561))
   - Fix compiler warning ([#4559](https://github.com/apache/incubator-tvm/pull/4559))
   - Fix to get end to end inference on Chisel VTA ([#4574](https://github.com/apache/incubator-tvm/pull/4574))
   - Fix LLVM build by adding missing intrinsics headers ([#4575](https://github.com/apache/incubator-tvm/pull/4575))
   - Fix context creation in quantization ([#4582](https://github.com/apache/incubator-tvm/pull/4582))
   - Fix NDArray SaveDLTensor signature ([#4586](https://github.com/apache/incubator-tvm/pull/4586))
   - Fix dense pack schedule for x86 ([#4539](https://github.com/apache/incubator-tvm/pull/4539))
   - Fix for broadcast tensor of scalar type ([#4577](https://github.com/apache/incubator-tvm/pull/4577))
   - Datatype refactor ([#4513](https://github.com/apache/incubator-tvm/pull/4513/files), [#4560](https://github.com/apache/incubator-tvm/pull/4560))
   - Add const qualifiers for NDArray container ([#4590](https://github.com/apache/incubator-tvm/pull/4590))
   - Fix TF <= 1.12 compatibility ([#4593](https://github.com/apache/incubator-tvm/pull/4593))
   - Fix for graph debug runtime ([#4598](https://github.com/apache/incubator-tvm/pull/4598/files))
   - Disable copy constructor for external codegen ([#4597](https://github.com/apache/incubator-tvm/pull/4597))
   - Make ADT tag signed ([#4605](https://github.com/apache/incubator-tvm/pull/4605))
   - Added declare of aluBits for TensorAlu [#4624](https://github.com/apache/incubator-tvm/issues/4624)
   - Get around limitation of g++-4.8 [#4626](https://github.com/apache/incubator-tvm/issues/4626)
   - Bugfix StmtMutator IfThenElse [#4609](https://github.com/apache/incubator-tvm/issues/4609)
   - Remove unecessary rdynamic [#4613](https://github.com/apache/incubator-tvm/issues/4613)
   - Resolve constexpr related link error in debug mode [#4641](https://github.com/apache/incubator-tvm/issues/4641)
   - Asymmetric padding [#4511](https://github.com/apache/incubator-tvm/issues/4511)
   - Reduce data size of asymmetric padding testcase [#4658](https://github.com/apache/incubator-tvm/issues/4658)
   - Fix Base64OutStream portability issue [#4668](https://github.com/apache/incubator-tvm/issues/4668)
   - Fix topi.nn.global_pool layout="NHWC" [#4656](https://github.com/apache/incubator-tvm/issues/4656)
   - Also package core.rly [#4679](https://github.com/apache/incubator-tvm/issues/4679)
   - `fskip` of EliminateCommonSubexpr cannot always return false [#4620](https://github.com/apache/incubator-tvm/issues/4620)
   - Fix Python syntax error in start_rpc_server_to_tracker.py [#4682](https://github.com/apache/incubator-tvm/issues/4682)
   - os.path --> osp to match the import [#4681](https://github.com/apache/incubator-tvm/issues/4681)
   - GitHub actions/checkout@v1 --> v2 [#4680](https://github.com/apache/incubator-tvm/issues/4680)
   - Fix Python syntax error AGAIN in start_rpc_server_to_tracker.py [#4685](https://github.com/apache/incubator-tvm/issues/4685)
   - Use ==/!= to compare str, bytes, and int literals [#4686](https://github.com/apache/incubator-tvm/issues/4686)
   - Rename start_rpc_server_to_tracker.py to start_rpc_server_to_tracker.sh [#4689](https://github.com/apache/incubator-tvm/issues/4689)
   - GitHub Action lint Python code for syntax errors [#4688](https://github.com/apache/incubator-tvm/issues/4688)
   - Generate blob use LLVM directly [#4657](https://github.com/apache/incubator-tvm/issues/4657)
   - Reduce input size to fix oom [#4653](https://github.com/apache/incubator-tvm/issues/4653)
   - Fix RemoveUnusedFunctions pass [#4700](https://github.com/apache/incubator-tvm/issues/4700)
   - Link the math library by default [#4713](https://github.com/apache/incubator-tvm/issues/4713)
   - Update mainline version to 0.7.dev0 [#4720](https://github.com/apache/incubator-tvm/issues/4720)
   - Add SizeVar representing non-neg valued variable in a tensor shape [#4684](https://github.com/apache/incubator-tvm/issues/4684)
   - Fix the compile problem of cpp_rpc [#4725](https://github.com/apache/incubator-tvm/issues/4725)
   - JSON upgrader to upgrade serialized json. [#4730](https://github.com/apache/incubator-tvm/issues/4730)
   - Fallback schedule for Int8 depthwise. [#4733](https://github.com/apache/incubator-tvm/issues/4733)
   - Fix dense x86 schedule [#4728](https://github.com/apache/incubator-tvm/issues/4728)
   - Fix demo dockerfile build failed [#4744](https://github.com/apache/incubator-tvm/issues/4744)
   - Improve CUDA vectorizer [#4736](https://github.com/apache/incubator-tvm/issues/4736)
   - Add .asf.yaml for github info [#4761](https://github.com/apache/incubator-tvm/issues/4761)
   - Fix padding in pooling op [#4738](https://github.com/apache/incubator-tvm/issues/4738)
   - Remove run_infer_type duplicates [#4766](https://github.com/apache/incubator-tvm/issues/4766)
   - [pooling.cc](http://pooling.cc/) improvements [#4767](https://github.com/apache/incubator-tvm/issues/4767)
   - Export builtin_fp16 on Windows [#4731](https://github.com/apache/incubator-tvm/issues/4731)
   - Fix Tensorflow conv3d pad bug, add non-cubic data and kernel tests [#4772](https://github.com/apache/incubator-tvm/issues/4772)
   - Bump prebuilt-image version in demo dockerfile [#4770](https://github.com/apache/incubator-tvm/issues/4770)
   - Update tune_simple_template.py [#4778](https://github.com/apache/incubator-tvm/issues/4778)
   - Explicitly link to cublasLt if it exists [#4776](https://github.com/apache/incubator-tvm/issues/4776)
   - Fix hasattr by extracting Python error type from Windows error message [#4780](https://github.com/apache/incubator-tvm/issues/4780)
   - Replace os.path.exists with try...except...else [#4784](https://github.com/apache/incubator-tvm/issues/4784)
   - Make sure to visit the arguments of inlined functions [#4783](https://github.com/apache/incubator-tvm/issues/4783)
   - Parse additional exception strings [#4785](https://github.com/apache/incubator-tvm/issues/4785)
   - Fix #4670: add bias for fc layer [#4801](https://github.com/apache/incubator-tvm/issues/4801)
   - Change color channel from BGR to RGB for darknet preprocessing [#4794](https://github.com/apache/incubator-tvm/issues/4794)
   - Fix -Wextra [#4804](https://github.com/apache/incubator-tvm/issues/4804)
   - Fix vta tutorial [#4809](https://github.com/apache/incubator-tvm/issues/4809)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/pull/4797)
   - Fixed subprocess creation under windows [#4820](https://github.com/apache/incubator-tvm/pull/4820)
   - Improve tol to resolve flaky case [#4836](https://github.com/apache/incubator-tvm/pull/4836)
   - Fixed process termination routine in windows [#4844](https://github.com/apache/incubator-tvm/pull/4844)
   - test_cuddn flaky [#4846](https://github.com/apache/incubator-tvm/pull/4846)
   - Mxnet parser for Qnn dialect [#4714](https://github.com/apache/incubator-tvm/pull/4714)
   - Enhance cc.cross_compiler [#4817](https://github.com/apache/incubator-tvm/pull/4817)
   - Fixed crash caused by reversing bitwise operations [#4852](https://github.com/apache/incubator-tvm/pull/4852)
   - Reverse some changes made for intel_graphics/conv2d.py in PR #4849 [#4853](https://github.com/apache/incubator-tvm/pull/4853)
   - const auto p -> const auto& p [#4861](https://github.com/apache/incubator-tvm/pull/4861)
   - Fix onnx import bugs [#4750](https://github.com/apache/incubator-tvm/pull/4750)
   - Explicit llvm::StringRef to std::string conversion [#4859](https://github.com/apache/incubator-tvm/pull/4859)
   - Update the runtime PackedFunc for module [#4871](https://github.com/apache/incubator-tvm/pull/4871)
   - Improve antlr import error message [#4888](https://github.com/apache/incubator-tvm/pull/4888)
   - Fix alpha_equal bug for attribute check [#4897](https://github.com/apache/incubator-tvm/pull/4897)
   - Fix issues in cuda codegen [#4876](https://github.com/apache/incubator-tvm/pull/4876)
   - Fixed: Bitwise ops on floats causing wrong code generation and crashes. [#4892](https://github.com/apache/incubator-tvm/pull/4892)
   - Fix tvm.target.generic_func runtime detection [#4910](https://github.com/apache/incubator-tvm/pull/4910)
   - topi/tests/python/test_topi_sort.py::test_argsort [#4891](https://github.com/apache/incubator-tvm/pull/4891)
   - Use opencv reisze method for preprocessing of image in darknet [#4883](https://github.com/apache/incubator-tvm/pull/4883)
   - Fix build breaks with StringRef changes [#4923](https://github.com/apache/incubator-tvm/pull/4923)
   - Remove unnecessary spliting in the cached chunk [#4935](https://github.com/apache/incubator-tvm/pull/4935)
   - Fixing an Infinite Loop case in UnmatchedChecker. [#4881](https://github.com/apache/incubator-tvm/pull/4881)
   - Remove SGX toolchain installation from CI Dockerfile [#4948](https://github.com/apache/incubator-tvm/pull/4948)
   - Fix tedd tutorial after strategy change [#4947](https://github.com/apache/incubator-tvm/pull/4947)
   - Allow customize MKLDNN library location [#4814](https://github.com/apache/incubator-tvm/pull/4814)
   - Added CopyFromBytes and CopyToBytes convenience methods to NDArray. Fixed typos. [#4970](https://github.com/apache/incubator-tvm/pull/4970)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Fix get_valid_count flaky test for cuda [#4901](https://github.com/apache/incubator-tvm/pull/4901)
   - Change Scala Linter scalafmt => scalastyle [#4998](https://github.com/apache/incubator-tvm/pull/4998)
   - Kill from tvm import te [#5007](https://github.com/apache/incubator-tvm/pull/5007)
   - Chisel fixes and de10nano support [#4986](https://github.com/apache/incubator-tvm/pull/4986)
   - Fix gpu not found when running TVM docker [#4975](https://github.com/apache/incubator-tvm/pull/4975)
   - Fixes for pylint==2.4.4 [#4849](https://github.com/apache/incubator-tvm/pull/4849)
   - Fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Fix gcn tutorial failure [#4994](https://github.com/apache/incubator-tvm/pull/4994)
   - Fix stride default value None in torch.nn.functional.avg_pool [#4984](https://github.com/apache/incubator-tvm/pull/4984)
   - Fix ROCm strategy for winograd conv selection [#5001](https://github.com/apache/incubator-tvm/pull/5001)
   - Early checking added and new test cases added for schedule fuse [#5010](https://github.com/apache/incubator-tvm/pull/5010)
   - Fixed div by zero core dump. Fixed rounding intrinsics on int crash [#5026](https://github.com/apache/incubator-tvm/pull/5026)
   - Test case modified for int type [#5012](https://github.com/apache/incubator-tvm/pull/5012)
   - Bug Fix for ARM CPUs. Lower strict assumption. [#5063](https://github.com/apache/incubator-tvm/pull/5063)
   - Triage the testcases to fit the the new namespaces [#5071](https://github.com/apache/incubator-tvm/pull/5071)
   - Add colors to compute_at edges and thread/block indices. [#5111](https://github.com/apache/incubator-tvm/pull/5111)
   - Temporary fix to the stack overflow issue in autotvm task extraction [#5019](https://github.com/apache/incubator-tvm/pull/5019)
   - Fix compilation of If-Elses [#5040](https://github.com/apache/incubator-tvm/pull/5040)
   - Fix CompilerAttrs [#5109](https://github.com/apache/incubator-tvm/pull/5109)
   - Fix the existing test cases before refactoring. [#5122](https://github.com/apache/incubator-tvm/pull/5122)
   - Fixed bug where shifting by out-of-bounds value results in no compute code being emitted. [#5115](https://github.com/apache/incubator-tvm/pull/5115)
   - Fix for issue #4831. The data_min_idx and data_max_idx were flipped. [#5136](https://github.com/apache/incubator-tvm/pull/5136)
   - Duplicate likely nodes added when loop axis split unevenly [#5084](https://github.com/apache/incubator-tvm/pull/5084)
   - Fix incorrect name of calibration mode [#5150](https://github.com/apache/incubator-tvm/pull/5150)
   - Remove contrib spatial pack schedule of depthwise convolution [#5148](https://github.com/apache/incubator-tvm/pull/5148)
   - Fix annotate pass static variable [#5023](https://github.com/apache/incubator-tvm/pull/5023)
   - Fixed ConvTranspose2D parsing [#5157](https://github.com/apache/incubator-tvm/pull/5157)
   - Nullptr check [#5176](https://github.com/apache/incubator-tvm/pull/5176)
   - rocm: fix miopen convolutions [#5179](https://github.com/apache/incubator-tvm/pull/5179)
   - rocm: fix dense_rocblas in strategy, topi [#5191](https://github.com/apache/incubator-tvm/pull/5191)
   - Bugfix in tensorflow space_to_batch_nd [#5175](https://github.com/apache/incubator-tvm/pull/5175)
   - Fix CRT static test bug ([#5293](https://github.com/apache/incubator-tvm/pull/5293))
   - Fix perf regression of tir refactor ([#5258](https://github.com/apache/incubator-tvm/pull/5258))
   - Bugfix in tensorflow space_to_batch_nd ([#5175](https://github.com/apache/incubator-tvm/pull/5175))
   - Compilation warnings fixed for 32bit and 64bit compilation ([#5349](https://github.com/apache/incubator-tvm/pull/5349))
   - Fix hang in MergeCompilerRegions ([#5227](https://github.com/apache/incubator-tvm/pull/5227))
   - Fixes to MergeCompilerRegions ([#5195](https://github.com/apache/incubator-tvm/pull/5195))
   - Fix generation of LLVM intrinsics ([#5282](https://github.com/apache/incubator-tvm/pull/5282))
   - Fix setting up hints for getaddrinfo ([#2872](https://github.com/apache/incubator-tvm/pull/2872))
   - Add ConstantNode to IsAtomic ([#5457](https://github.com/apache/incubator-tvm/pull/5457))
   - Fix String SEqual ([#5275](https://github.com/apache/incubator-tvm/pull/5275))
   - Fix fuse over functions that are handled by external codegen ([#5365](https://github.com/apache/incubator-tvm/pull/5365))
   - Fix memory leak when accessing NDArray ([#5413](https://github.com/apache/incubator-tvm/pull/5413))
   - Remove the duplicate PrintIR pass in Relay ([#5403](https://github.com/apache/incubator-tvm/pull/5403))
   - Fix lower_warp_memory ([#5247](https://github.com/apache/incubator-tvm/pull/5247))
   - Fix lower_warp_memory when there are >1 warp buffers ([#5368](https://github.com/apache/incubator-tvm/pull/5368))
   - Fix intel conv2d auto tune ([#5200](https://github.com/apache/incubator-tvm/pull/5200))
   - Fix FuseBatchNorm output cast error if need_cast is True [#4894](https://github.com/apache/incubator-tvm/pull/4894)
   - Fix an assertion exposed by loop vectorizer [#4916](https://github.com/apache/incubator-tvm/pull/4916)
   - Fix error message [#4945](https://github.com/apache/incubator-tvm/pull/4945)
   - Fix for recursive let [#5757](https://github.com/apache/incubator-tvm/pull/5757)
   - Fix Calibration Pass to Support Modules with Multiple Functions [#5768](https://github.com/apache/incubator-tvm/pull/5768)
   - Fix what looks like bizzare copy-paste issue [#6010](https://github.com/apache/incubator-tvm/pull/6010)
   - Fix bug in transpose_shape_func [#6180](https://github.com/apache/incubator-tvm/pull/6180)
   - Fix bugs in CUDA codegen ([#5209](https://github.com/apache/incubator-tvm/pull/5209))
   - Don’t remove() TemporaryFile in **del**. ([#5414](https://github.com/apache/incubator-tvm/pull/5414))
   - Fix test_ir_type. ([#5390](https://github.com/apache/incubator-tvm/pull/5390))
   - Fix multiple identical inputs bug ([#5389](https://github.com/apache/incubator-tvm/pull/5389))
   - Add cuda target check to dense tensorcore schedule. ([#5376](https://github.com/apache/incubator-tvm/pull/5376))
   - T2 test fixups ([#5391](https://github.com/apache/incubator-tvm/pull/5391))
   - Fix miopen padding ([#5433](https://github.com/apache/incubator-tvm/pull/5433))
   - Misc fixes for ROCm ([#5431](https://github.com/apache/incubator-tvm/pull/5431))
   - Fix copy constructor (#5237)
   - Corrected TVM autotuning on GPU ([#5432](https://github.com/apache/incubator-tvm/pull/5432))
   - Fix vector load ([#5226](https://github.com/apache/incubator-tvm/pull/5226))
   - Minor bugfix in message_passing.cc ([#5254](https://github.com/apache/incubator-tvm/pull/5254))
   - Fix a bug when vectorized load&store was involved for… ([#5428](https://github.com/apache/incubator-tvm/pull/5428))
   - Fix to skip node not in graph. ([#5238](https://github.com/apache/incubator-tvm/pull/5238))
   - Fix [#5388](https://github.com/apache/incubator-tvm/pull/5388) [RUNTIME][VULKAN] vkBuffer released before memory copy command se… ([#5418](https://github.com/apache/incubator-tvm/pull/5418))
   - Fix a minor error in device_annotation ([#5291](https://github.com/apache/incubator-tvm/pull/5291))
   - Fix scalar’s ndim is 0 ([#5344](https://github.com/apache/incubator-tvm/pull/5344))
   - Fix the runtime raise error [#5586](https://github.com/apache/incubator-tvm/pull/5586)
   - Fixed bug in attribute parsing for pool layers. #[5582](https://github.com/apache/incubator-tvm/pull/5582)
   - AutoTVM incorrect measurement [#5511](https://github.com/apache/incubator-tvm/pull/5511)
   - fix a min/max simplify bug [#5761](https://github.com/apache/incubator-tvm/pull/5761)
   - Rename tvm_dso_op to libtvm_dso_op [#5714](https://github.com/apache/incubator-tvm/pull/5714)
   - Fix generating types like float44 and float88 [#5722](https://github.com/apache/incubator-tvm/pull/5722)
   - Avoid downloading when TOPHUB_LOCATION is NONE [#5720](https://github.com/apache/incubator-tvm/pull/5720)
   - codegen llvm: move nvptx-specific intrinsic handling into codegen_nvptx [#5726](https://github.com/apache/incubator-tvm/pull/5726)
   - ROCm warp shuffles and reductions [#5727](https://github.com/apache/incubator-tvm/pull/5727)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Clarify downstream consistency of TVMArgTypeCode [#5742](https://github.com/apache/incubator-tvm/pull/5742)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - Make batch matrix multiplication on GPU tunable [#5752](https://github.com/apache/incubator-tvm/pull/5752)
   - update vulkan build rule [#5777](https://github.com/apache/incubator-tvm/pull/5777)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - Edit onnx parser to infer values in post order [#5755](https://github.com/apache/incubator-tvm/pull/5755)
   - Support symbolic inputs of Fill [#5762](https://github.com/apache/incubator-tvm/pull/5762)
   - support aten::type_as in the pytorch frontend [#5787](https://github.com/apache/incubator-tvm/pull/5787)
   - Temporary disable fp16 type_as test for PyTorch Frontend [#5799](https://github.com/apache/incubator-tvm/pull/5799)
   - Add config switch for nn.dense layer type. [#5801](https://github.com/apache/incubator-tvm/pull/5801)
   - Move cpu-only frontend tests to a CPU stage [#5807](https://github.com/apache/incubator-tvm/pull/5807)
   - Pin hand landmark network to version 0.7.4. [#5813](https://github.com/apache/incubator-tvm/pull/5813)
   - Limit number of threads in all jobs [#5815](https://github.com/apache/incubator-tvm/pull/5815)
   - Error msg update [#5818](https://github.com/apache/incubator-tvm/pull/5818)
   - fix relay.build to not change the module argument in place [#5822](https://github.com/apache/incubator-tvm/pull/5822)
   - Fix InferType when module contains Prelude [#5797](https://github.com/apache/incubator-tvm/pull/5797)
   - Add a combine batch_matmul pass [#5791](https://github.com/apache/incubator-tvm/pull/5791)
   - RepeatVector, Conv3DTranspose op support added [#5833](https://github.com/apache/incubator-tvm/pull/5833)
   - Fix converting serialized quantized models [#5839](https://github.com/apache/incubator-tvm/pull/5839)
   - ffi (Object): make class dict visible in instances [#5843](https://github.com/apache/incubator-tvm/pull/5843)
   - Additional canonicalization added for AddNode [#5846](https://github.com/apache/incubator-tvm/pull/5846)
   - Suppress the warning messages when compile engine selects impls [#5821](https://github.com/apache/incubator-tvm/pull/5821)
   - fix #5849 [#5851](https://github.com/apache/incubator-tvm/pull/5851)
   - Introduce POD-C Compliant tvm::Map [#5740](https://github.com/apache/incubator-tvm/pull/5740)
   - Add bfloat16 [#5601](https://github.com/apache/incubator-tvm/pull/5601)
   - Add Python Classes for all Attrs [#5853](https://github.com/apache/incubator-tvm/pull/5853)
   - Fix map assign issue in CI test [#5854](https://github.com/apache/incubator-tvm/pull/5854)
   - Introduce Target Id Registry [#5838](https://github.com/apache/incubator-tvm/pull/5838)
   - Update has_dtype/has_shape to pattern lang doc [#5847](https://github.com/apache/incubator-tvm/pull/5847)
   - Add nn.batch_flatten as quantizable. [#5805](https://github.com/apache/incubator-tvm/pull/5805)
   - Fail early before running invalid dynamic graphs [#5856](https://github.com/apache/incubator-tvm/pull/5856)
   - Improve type handling in PyTorch frontend [#5834](https://github.com/apache/incubator-tvm/pull/5834)
   - HotFix the python intrin rule [#5895](https://github.com/apache/incubator-tvm/pull/5895)
   - add a few gradients [#5899](https://github.com/apache/incubator-tvm/pull/5899)
   - Add Binary Intrinsic ops to TIR Ops in C++ [#5900](https://github.com/apache/incubator-tvm/pull/5900)
   - Allow implicit conversion in TVM FFI to tvm::Bool [#5907](https://github.com/apache/incubator-tvm/pull/5907)
   - PyTorch frontend: fix handling of duplicate use of a model weight [#5897](https://github.com/apache/incubator-tvm/pull/5897)
   - Don’t multiply by constant 1 uselessly in dense [#5911](https://github.com/apache/incubator-tvm/pull/5911)
   - Support any index matching for TupleGetItem [#5909](https://github.com/apache/incubator-tvm/pull/5909)
   - Add MicroTVM tutorial using the STM32F746 discovery board [#5655](https://github.com/apache/incubator-tvm/pull/5655)
   - Fix serialization of inf float value [#5912](https://github.com/apache/incubator-tvm/pull/5912)
   - Fix CPU Thread Binding for Multiple Sockets [#5918](https://github.com/apache/incubator-tvm/pull/5918)
   - CUDA device API & VerifyGPUCode pass update [#5898](https://github.com/apache/incubator-tvm/pull/5898)
   - Update install.rst [#5858](https://github.com/apache/incubator-tvm/pull/5858)
   - Two small fixes to AMDCPU codegen for LLVM 10+ and ROCm 3.5+ [#5920](https://github.com/apache/incubator-tvm/pull/5920)
   - Add LegalizeInvalidAttach to legalize the compute_at location after split or fuse [#591](https://github.com/apache/incubator-tvm/pull/5917)
   - Don’t rewrite expressions used outside of the pattern [#5930](https://github.com/apache/incubator-tvm/pull/5930)
   - Add TupleGetItem to CSE [#5931](https://github.com/apache/incubator-tvm/pull/5931)
   - Various update for CoreML codegen [#5934](https://github.com/apache/incubator-tvm/pull/5934)
   - Update date in the NOTICE [#5943](https://github.com/apache/incubator-tvm/pull/5943)
   - Raise right error in tensorflow split op [#5951](https://github.com/apache/incubator-tvm/pull/5951)
   - Add rm xla attributes in tf docs [#5950](https://github.com/apache/incubator-tvm/pull/5950)
   - Fix OpenCL get_valid_counts errors due to intrinsic atomic_add [#5857](https://github.com/apache/incubator-tvm/pull/5857)
   - Amendments for gradients [#5941](https://github.com/apache/incubator-tvm/pull/5941)
   - Fix the meaning of conv{1,2}d_transpose output_padding parameter. [#5758](https://github.com/apache/incubator-tvm/pull/5758)
   - Make first order gradient graphs more efficient [#5959](https://github.com/apache/incubator-tvm/pull/5959)
   - Raise an exception when extern function does not return Stmt [#5964](https://github.com/apache/incubator-tvm/pull/5964)
   - Improve docker/bash.sh to handle git worktrees [#5970](https://github.com/apache/incubator-tvm/pull/5970)
   - Install DNNL (OneDNN) to CI Environment [#5936](https://github.com/apache/incubator-tvm/pull/5936)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Add meshgrid op in Relay, TOPI, Pytorch frontend [#5961](https://github.com/apache/incubator-tvm/pull/5961)
   - Print right number of parentheses for LoadNode [#5965](https://github.com/apache/incubator-tvm/pull/5965)
   - Migrate data structure of TargetNode [#5960](https://github.com/apache/incubator-tvm/pull/5960)
   - Remove redundant function CreateBufferVecPtr [#5982](https://github.com/apache/incubator-tvm/pull/5982)
   - Fix string argument mismatch in GraphRuntimeCodegen [#5933](https://github.com/apache/incubator-tvm/pull/5933)
   - VectorType::get with two parameters is deprecated in LLVM 11+ [#5984](https://github.com/apache/incubator-tvm/pull/5984)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Fix building with LLVM-10 on macOS [#5859](https://github.com/apache/incubator-tvm/pull/5859)
   - Add cuda 11 to contrib.nvcc.find_libdevice_path() [#5902](https://github.com/apache/incubator-tvm/pull/5902)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Fix recursive let for well formed check [#5780](https://github.com/apache/incubator-tvm/pull/5780)
   - Recover global state after test_util.py [#5824](https://github.com/apache/incubator-tvm/pull/5824)
   - Fix bug in rpc ring buffer shrink [#5516](https://github.com/apache/incubator-tvm/pull/5516)
   - Fix remote device sync [#5538](https://github.com/apache/incubator-tvm/pull/5538)
   - Fix bug in rpc ring buffer shrink (#5516) [#5537](https://github.com/apache/incubator-tvm/pull/5537)
   - RPC Server error fix on Pynq FPGA [#5607](https://github.com/apache/incubator-tvm/pull/5607)
   - Fix FloorMod Simplifier [#5509](https://github.com/apache/incubator-tvm/pull/5509)
   - Fix Python debugger segfaults with TVM built with LLVM [#5685](https://github.com/apache/incubator-tvm/pull/5685)
   - Fix Compilation Error in CRT [#5713](https://github.com/apache/incubator-tvm/pull/5713)
   - Fix runtime::String backward compatibility in JSON [#5725](https://github.com/apache/incubator-tvm/pull/5725)
   - Allow RPCWrappedFunc to rewrite runtime::String as std::string [#5796](https://github.com/apache/incubator-tvm/pull/5796)
   - Fix reshape [#5739](https://github.com/apache/incubator-tvm/pull/5739)
   - Make "none" DataType explicit [#5491](https://github.com/apache/incubator-tvm/pull/5491)
   - Change "scalar" and "stack" in IDL from "inrout" to "in" [#5487](https://github.com/apache/incubator-tvm/pull/5487)
   - Link necessary libraries when building runtime for Android [#5496](https://github.com/apache/incubator-tvm/pull/5496)
   - Fixes for wasm32 target [#5489](https://github.com/apache/incubator-tvm/pull/5489)
   - Reset target and wait for runtime initialization on connect. [#5499](https://github.com/apache/incubator-tvm/pull/5499)
   - Bump tophub rocm version [#5504](https://github.com/apache/incubator-tvm/pull/5504)
   - Improve commentary for RingBuffer [#5518](https://github.com/apache/incubator-tvm/pull/5518)
   - Add unit tests for ONNX PRelu and fix importer to pass them. [#5521](https://github.com/apache/incubator-tvm/pull/5521)
   - LRN only supports 4D tensors, remove it from alter_op_layout [#5520](https://github.com/apache/incubator-tvm/pull/5520)
   - Fix an issue with ONNX Upsample [#5530](https://github.com/apache/incubator-tvm/pull/5530)
   - Cache PrimExpr instead of raw pointers in bound analyzer [#5533](https://github.com/apache/incubator-tvm/pull/5533)
   - fix a few bugs with shape inference and types in the ONNX importer [#5534](https://github.com/apache/incubator-tvm/pull/5534)
   - Add Onnx Pad v11 [#5539](https://github.com/apache/incubator-tvm/pull/5539)
   - Changes to cpp_rpc to make it work on Android (+ Hexagon offloading) [#5535](https://github.com/apache/incubator-tvm/pull/5535)
   - Fix to reduce RAM size during loading model [#5507](https://github.com/apache/incubator-tvm/pull/5507)
   - Fix MakeLoopNest for warp memory [#5382](https://github.com/apache/incubator-tvm/pull/5382)
   - Load platform specific lib for tvmdsoop instead of the hard-coded tvm_dso_op.so [#5542](https://github.com/apache/incubator-tvm/pull/5542)
   - Add tests for running micro on native arm hardware [#5546](https://github.com/apache/incubator-tvm/pull/5546)
   - Apparently, ONNX Conv with no 'pads' defaults to zero padding [#5548](https://github.com/apache/incubator-tvm/pull/5548)
   - clang-format the h,cc,m files. [#5557](https://github.com/apache/incubator-tvm/pull/5557)
   - Fix conv2d alter op for arm cpu [#5532](https://github.com/apache/incubator-tvm/pull/5532)
   - Fix topi test (/topi/tests/python/test_topi_conv2d_nhwc_winograd.py) for non tensorcore CI. [#5563](https://github.com/apache/incubator-tvm/pull/5563)
   - Add clang-format and nodejs to ci-lint [#5567](https://github.com/apache/incubator-tvm/pull/5567)
   - Enable clang-format. [#5572](https://github.com/apache/incubator-tvm/pull/5572)
   - Allow ubuntu_install_darknet.sh to work in both 18.04 and 16.04 [#5574](https://github.com/apache/incubator-tvm/pull/5574)
   - Add a quantized conv2 unit test for the tflite front-end [#5558](https://github.com/apache/incubator-tvm/pull/5558)
   - Fix JSON graph dumping. [#5591](https://github.com/apache/incubator-tvm/pull/5591)
   - Warp level reduction support for CUDA [#5498](https://github.com/apache/incubator-tvm/pull/5498)
   - One more fix for concurrency count [#5589](https://github.com/apache/incubator-tvm/pull/5589)
   - Improve robustness of the docs build [#5583](https://github.com/apache/incubator-tvm/pull/5583)
   - Phase out WebGL [#5570](https://github.com/apache/incubator-tvm/pull/5570)
   - Fix vulkansdk in the ci-gpu and upgrade to 1.2.135 [#5566](https://github.com/apache/incubator-tvm/pull/5566)
   - Update ci-cpu to bionic [#5554](https://github.com/apache/incubator-tvm/pull/5554)
   - Overestimate binary size for microTVM compiled binaries. [#5590](https://github.com/apache/incubator-tvm/pull/5590)
   - Fix bug and re-enable RPC execution test [#5436](https://github.com/apache/incubator-tvm/pull/5436)
   - Add ostream formatters for TargetPtr/TargetVal. [#5592](https://github.com/apache/incubator-tvm/pull/5592)
   - Fix cross thread reduction [#5551](https://github.com/apache/incubator-tvm/pull/5551)
   - Fix TVMArray layout on device [#5599](https://github.com/apache/incubator-tvm/pull/5599)
   - Add debug mode to tempdir() [#5581](https://github.com/apache/incubator-tvm/pull/5581)
   - Represent alignment information in LLVM IR [#5598](https://github.com/apache/incubator-tvm/pull/5598)
   - Fix codegen for warp shuffle intrinsics [#5606](https://github.com/apache/incubator-tvm/pull/5606)
   - Fix Topological Order calculation for DFPattern Language [#5612](https://github.com/apache/incubator-tvm/pull/5612)
   - Global MaxPool3d and AvgPool3d support [#5098](https://github.com/apache/incubator-tvm/pull/5098)
   - Fix build error of iOS RPC [#5621](https://github.com/apache/incubator-tvm/pull/5621)
   - isn't a CallNode sometimes [#5623](https://github.com/apache/incubator-tvm/pull/5623)
   - Introduce config to PassContext. [#5631](https://github.com/apache/incubator-tvm/pull/5631)
   - CMAKE fix [#5630](https://github.com/apache/incubator-tvm/pull/5630)
   - Label Pattern Partitions [#5627](https://github.com/apache/incubator-tvm/pull/5627)
   - Extend AttrPattern to support CallNode and FunctionNode attributes [#5637](https://github.com/apache/incubator-tvm/pull/5637)
   - Increase bss section size. [#5660](https://github.com/apache/incubator-tvm/pull/5660)
   - Add buffer name when creating tensor bindings [#5670](https://github.com/apache/incubator-tvm/pull/5670)
   - µtvm debug improvements [#5648](https://github.com/apache/incubator-tvm/pull/5648)
   - enable amd_apu device on vulkan target [#5659](https://github.com/apache/incubator-tvm/pull/5659)
   - Support TupleWrapper as direct ancestor of control flow ops [#5639](https://github.com/apache/incubator-tvm/pull/5639)
   - add tvm.micro pydoc to sphinx [#5661](https://github.com/apache/incubator-tvm/pull/5661)
   - Add a regression testcase for #5674 [#5677](https://github.com/apache/incubator-tvm/pull/5677)
   - Fix C++ RPC build problem on Linux [#5671](https://github.com/apache/incubator-tvm/pull/5671)
   - Add a check Callback to the Pattern Paritioner [#5646](https://github.com/apache/incubator-tvm/pull/5646)
   - Call previous excepthook in tvm_excepthook. [#5675](https://github.com/apache/incubator-tvm/pull/5675)
   - Fix the shift column for scale_shift_nchw and scale_shift_nhwc in C topi [#5679](https://github.com/apache/incubator-tvm/pull/5679)
   - Support more dtypes for TVMDSOOp [#5694](https://github.com/apache/incubator-tvm/pull/5694)
   - In memory_plan, check if value is not None, instead of just checking value as boolean. [#5700](https://github.com/apache/incubator-tvm/pull/5700)
   - Fix flaky test_topi_pooling.py:test_adaptive_pool [#5736](https://github.com/apache/incubator-tvm/pull/5736)
   - Fix the values for test_fmod since it fails way too often otherwise [#5723](https://github.com/apache/incubator-tvm/pull/5723)
   - fix small bug about dense_grad [#5695](https://github.com/apache/incubator-tvm/pull/5695)
   - Fix sequential cpp test [#5745](https://github.com/apache/incubator-tvm/pull/5745)
   - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619)
   - Clean WASM environment before build [#5759](https://github.com/apache/incubator-tvm/pull/5759)
   - Fix gelu in PyTorch frontend, tighten numerical checks [#5763](https://github.com/apache/incubator-tvm/pull/5763)
   - fix #5686: remove a overstrict assert in MakeAllreduce (#5686) [#5785](https://github.com/apache/incubator-tvm/pull/5785)
   - Improve Pattern Language Docs [#5676](https://github.com/apache/incubator-tvm/pull/5676)
   - Add missing expr visitor for any [#6082](https://github.com/apache/incubator-tvm/pull/6082)
   - Remove the tvm web from version update [#6122](https://github.com/apache/incubator-tvm/pull/6122)
   - Clear relay cache after every build & Clear warning message cache after autotvm task extraction [#6131](https://github.com/apache/incubator-tvm/pull/6131)
   - avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Use LocalRunner by default in the tutorial tune_relay_cuda.py [#6001](https://github.com/apache/incubator-tvm/pull/6001)
   - Undefined names: import os for line 324 & import re for line 308 [#6003](https://github.com/apache/incubator-tvm/pull/6003)
   - GitHub Actions upgrade to actions/setup-python@v2 [#6002](https://github.com/apache/incubator-tvm/pull/6002)
   - Only pass pythonpath for ci images [#6005](https://github.com/apache/incubator-tvm/pull/6005)
   - Auto-convert shuffle with single index to “extract element” [#6006](https://github.com/apache/incubator-tvm/pull/6006)
   - Cache object refs in loop partitioner instead of object pointers [#6004](https://github.com/apache/incubator-tvm/pull/6004)
   - Fix test_arith_solve_linear_inequality.py::test_multi_equal [#6014](https://github.com/apache/incubator-tvm/pull/6014)
   - MXNet frontend support for AMP cast op [#5976](https://github.com/apache/incubator-tvm/pull/5976)
   - Demo showing how to run a pruned model. [#5975](https://github.com/apache/incubator-tvm/pull/5975)
   - Move compiler related registry items to vta/build_module.py [#6012](https://github.com/apache/incubator-tvm/pull/6012)
   - Pin keras version [#6032](https://github.com/apache/incubator-tvm/pull/6032)
   - Fix in arm_cpu/conv2d_alter_op for NHWC quantized [#6027](https://github.com/apache/incubator-tvm/pull/6027)
   - Add creation of Hexagon device in RPC client [#6035](https://github.com/apache/incubator-tvm/pull/6035)
   - Terminate basic block after “ret” instruction [#6036](https://github.com/apache/incubator-tvm/pull/6036)
   - µTVM CRT modifications for on-device RPC server [#5921](https://github.com/apache/incubator-tvm/pull/5921)
   - Create TBAA information based on the unrelying buffer type [#6046](https://github.com/apache/incubator-tvm/pull/6046)
   - Add support for tflite arg_min and arg_max [#5992](https://github.com/apache/incubator-tvm/pull/5992)
   - Fix fully_connected converter when batch size is not 1 [#6038](https://github.com/apache/incubator-tvm/pull/6038)
   - Fix a primitive check error [#5991](https://github.com/apache/incubator-tvm/pull/5991)
   - Refactor to expose MakeOp functions to C++ [#6047](https://github.com/apache/incubator-tvm/pull/6047)
   - Fix conv2_gemm after target structure update [#6037](https://github.com/apache/incubator-tvm/pull/6037)
   - Remove use of designated initializers from hexagon_module.cc [#6055](https://github.com/apache/incubator-tvm/pull/6055)
   - Build crttest and cpptest separately. [#6057](https://github.com/apache/incubator-tvm/pull/6057)
   - Fix pytorch frontend prim::Constant issue [#6051](https://github.com/apache/incubator-tvm/pull/6051)
   - update frontend tutorials to new model based runtime interface [#6063](https://github.com/apache/incubator-tvm/pull/6063)
   - Remove unnecessary std::cout [#6072](https://github.com/apache/incubator-tvm/pull/6072)
   - Fix error message in Buffer::vstore, NFC [#6056](https://github.com/apache/incubator-tvm/pull/6056)
   - Fix FSIM Compile Error. [#6070](https://github.com/apache/incubator-tvm/pull/6070)
   - Improve vector simplification for float operands [#6043](https://github.com/apache/incubator-tvm/pull/6043)
   - Fix LocalBuilder on macOS with python 3.8. [#6083](https://github.com/apache/incubator-tvm/pull/6083)
   - Add missing test for fast erf [#6058](https://github.com/apache/incubator-tvm/pull/6058)
   - Fixed point multiplication improvements for AArch64 [#5980](https://github.com/apache/incubator-tvm/pull/5980)
   - Fix code generation bugs for C/CUDA & Improve VerifyGPUCode pass [#6041](https://github.com/apache/incubator-tvm/pull/6041)
   - Delete declaration of unused op_node [#6102](https://github.com/apache/incubator-tvm/pull/6102)
   - Load configs even it has no entity [#6100](https://github.com/apache/incubator-tvm/pull/6100)
   - Update SGX example Cargo.toml [#6067](https://github.com/apache/incubator-tvm/pull/6067)
   - Add default value for option USE_DNNL_CODEGEN in the cmake [#6099](https://github.com/apache/incubator-tvm/pull/6099)
   - Update installation doc with minor improvements [#6104](https://github.com/apache/incubator-tvm/pull/6104)
   - lint: add opencl .cl file type [#6092](https://github.com/apache/incubator-tvm/pull/6092)
   - Clean up conversions between TVM and Rust functions [#6114](https://github.com/apache/incubator-tvm/pull/6114)
   - Improve reduction schedule on arm CPUs [#6110](https://github.com/apache/incubator-tvm/pull/6110)
   - Register Shape Func for Some Operators to Handle Dynamic Shapes [#5955](https://github.com/apache/incubator-tvm/pull/5955)
   - Fix variable name conflict with OpenCL keyword [#6048](https://github.com/apache/incubator-tvm/pull/6048)
   - Some rust cleanups [#6116](https://github.com/apache/incubator-tvm/pull/6116)
   - Option to specify alternate directory to output build to [#6016](https://github.com/apache/incubator-tvm/pull/6016)
   - Add ‘get_num_inputs’ to GraphRuntime [#6118](https://github.com/apache/incubator-tvm/pull/6118)
   - TFLite quantized conv test [#6084](https://github.com/apache/incubator-tvm/pull/6084)
   - Fix autotvm on the conv2d_nchw_winograd.mali operator [#6130](https://github.com/apache/incubator-tvm/pull/6130)
   - add attr option mfloat-abi for arm32 [#6123](https://github.com/apache/incubator-tvm/pull/6123)
   - Fix CUDA Library Tuning [#6132](https://github.com/apache/incubator-tvm/pull/6132)
   - Add missing RPC sources after refactor [#6113](https://github.com/apache/incubator-tvm/pull/6113)
   - Correct runtime.load_module [#6161](https://github.com/apache/incubator-tvm/pull/6161)
   - Improve error messages in graph tuner, graph runtime, and module loader. [#6148](https://github.com/apache/incubator-tvm/pull/6148)
   - Fix some shape mismatches between TF and Relay [#6166](https://github.com/apache/incubator-tvm/pull/6166)
   - Improve doc string [#6176](https://github.com/apache/incubator-tvm/pull/6176)
   - Fix incorrect function signature in header [#6172](https://github.com/apache/incubator-tvm/pull/6172)
   - Fix alignment of note [#6181](https://github.com/apache/incubator-tvm/pull/6181)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223))
   - Avoid unexpected throw in AttrInitEntry [#6128](https://github.com/apache/incubator-tvm/pull/6128)
   - Added casting to hybrid script doc and fixed pass infra doc [#6174](https://github.com/apache/incubator-tvm/pull/6174)
   - Fix compile warnings. [#6204](https://github.com/apache/incubator-tvm/pull/6204)
   - Fix -mfloat-abi=soft compilation for ARM with OpenCL target [#6150](https://github.com/apache/incubator-tvm/pull/6150)
   - Mod operator, bug fix [#6160](https://github.com/apache/incubator-tvm/pull/6160)
   - Fix compilation error with cuda 11 [#6213](https://github.com/apache/incubator-tvm/pull/6213)
   - Fix port_end wrong default value 9199 to 9099 for keeping same with source code [#6220](https://github.com/apache/incubator-tvm/pull/6220)
   - Std op without specified dimensions support [#6226](https://github.com/apache/incubator-tvm/pull/6226)
   - Verify that tensor reshape is valid. [#6215](https://github.com/apache/incubator-tvm/pull/6215)
   - Fix crt building and running error [#6231](https://github.com/apache/incubator-tvm/pull/6231)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   - Fix cuda half math function is undefined: hpow, htanh [#6225](https://github.com/apache/incubator-tvm/pull/6225)
   - Fix division range estimation error in simplifier [#6244](https://github.com/apache/incubator-tvm/pull/6244)
   - Fix newer GCC compiler warnings. [#6257](https://github.com/apache/incubator-tvm/pull/6257)
   - Support _contrib_SyncBatchNorm [#6245](https://github.com/apache/incubator-tvm/pull/6245)
   - Fix reduction [#6250](https://github.com/apache/incubator-tvm/pull/6250)
   - Add apt repository for clang-11 and llvm-11 [#6256](https://github.com/apache/incubator-tvm/pull/6256)
   - Update tutorial to new TARGET as micro_dev is no more [#6262](https://github.com/apache/incubator-tvm/pull/6262)
   - Fix clang-format [#6264](https://github.com/apache/incubator-tvm/pull/6264)
   - Trivial fix, up the rodata section for the discovery board to 512 bytes. [#6259](https://github.com/apache/incubator-tvm/pull/6259)
   - Fix cuda half math function is undefined: hpow, htanh [#6253](https://github.com/apache/incubator-tvm/pull/6253)
   - Add dilation in x86 NCHWc depthwise conv support [#6267](https://github.com/apache/incubator-tvm/pull/6267)
   - Decrease test times by introducing testing model [#6235](https://github.com/apache/incubator-tvm/pull/6235)
   - Add support for parsing the any dimension. [#6277](https://github.com/apache/incubator-tvm/pull/6277)
   - Improve error messages for memory verifier and gpu memory verifier [#6281](https://github.com/apache/incubator-tvm/pull/6281)
   - Reflect Compile-Time CMake Options into [libtvm.so](http://libtvm.so/) [#6280](https://github.com/apache/incubator-tvm/pull/6280)
   - Add cmake options into libinfo [#6286](https://github.com/apache/incubator-tvm/pull/6286)
   - Update slice to infer attributes when not graph inputs [#6276](https://github.com/apache/incubator-tvm/pull/6276)
   - Use rpc.LocalSession for simple tests [#6294](https://github.com/apache/incubator-tvm/pull/6294)
   - Fix random fail [#6312](https://github.com/apache/incubator-tvm/pull/6312)
   - Fix resize test [#6298](https://github.com/apache/incubator-tvm/pull/6298)
   - Fix cython FFI compact with np.int64 [#6321](https://github.com/apache/incubator-tvm/pull/6321)
   - Fix relay vm optimize [#6322](https://github.com/apache/incubator-tvm/pull/6322)
   - Changed TVMCTVMContext to TVMContext [#6306](https://github.com/apache/incubator-tvm/pull/6306)
   - Make able to compile with MSVC [#6341](https://github.com/apache/incubator-tvm/pull/6341)
   - ROCm changed name of library and removed the old one in ROCm 3.7 release. [#6345](https://github.com/apache/incubator-tvm/pull/6345)
   - Compatible for ROCm before 3.7 [#6359](https://github.com/apache/incubator-tvm/pull/6359)
   - Use clear name that is separate from ASF brand for cache [#6360](https://github.com/apache/incubator-tvm/pull/6360)
   - Fix Dockerfile.demo_android [#6361](https://github.com/apache/incubator-tvm/pull/6361)
   - Fx sparse dense schedule on cuda [#5803](https://github.com/apache/incubator-tvm/pull/5803)
   - Fix strategy for sparse dense cuda [#5782](https://github.com/apache/incubator-tvm/pull/5782)
   - Fix x86 conv2d template when tuning with unpacked layout [#5938](https://github.com/apache/incubator-tvm/pull/5938)
   - Fix the filter width parameter in depthwise_conv2d [#6081](https://github.com/apache/incubator-tvm/pull/6081)
   - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732)
   - Missing header [#4865](https://github.com/apache/incubator-tvm/pull/4865)
   - Fix conv2d_transpose output padding [#6236](https://github.com/apache/incubator-tvm/pull/6236)
   
   # Known Issues
   
   # Deprecation
   
   - Deprecating NNVM ([#4535](https://github.com/apache/incubator-tvm/pull/4535), [#4562](https://github.com/apache/incubator-tvm/pull/4562), [#4565](https://github.com/apache/incubator-tvm/pull/4565), [#4571](https://github.com/apache/incubator-tvm/pull/4571))
   - Deprecate FreeStmt [#5890](https://github.com/apache/incubator-tvm/pull/5890)
   - Remove legacy compute_expr.h [#5738](https://github.com/apache/incubator-tvm/pull/5738)
   - Deprecate OpenGL [#5711](https://github.com/apache/incubator-tvm/pull/5711), [#5712](https://github.com/apache/incubator-tvm/pull/5712)


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)


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[GitHub] [incubator-tvm] ZihengJiang edited a comment on issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

ZihengJiang edited a comment on issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486#issuecomment-698659880


   # Feature Improvement
   
   ## Accelerator and Microcontroller Support
   
   - Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576))
   - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274))
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   
   ## Arithmetic Analysis
   
   - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171))
   - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618)
   - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367))
   - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387))
   - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665)
   - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625)
   - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924)
   
   ## AutoTVM and Graph Tuner
   
   - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507))
   - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859))
   - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328)
   - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671)
   - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781)
   - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779)
   - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797)
   - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034)
   - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000)
   - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411))
   - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649)
   - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870)
   
   ## BYOC
   
   - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476))
   - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261))
   - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262))
   - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310))
   - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277))
   - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410))
   - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288))
   - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272))
   - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320))
   
   ## Codegen
   
   - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499))
   - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107)
   - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983)
   - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101)
   - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267))
   - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265))
   - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338))
   - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268))
   - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398))
   - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399))
   - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264))
   - [CodeGen] Cleanup generated code (#5424)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218)
   - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315)
   - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347)
   - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261)
   - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145)
   - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154)
   - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509))
   - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546)
   - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146)
   - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121)
   
   ## Dynamism Support
   
   - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files))
   - Support symbolic newshape for Reshape #5429
   - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459)
   - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855)
   - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844)
   - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008)
   - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007)
   - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080)
   - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795)
   - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209)
   - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198)
   - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260)
   - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273)
   - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983)
   
   ## Frontend and User Interface
   
   - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447))
   - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453))
   - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483))
   - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/))
   - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484))
   - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573))
   - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630)
   - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604)
   - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518)
   - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789)
   - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825)
   - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822)
   - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840)
   - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838)
   - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543)
   - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913)
   - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928)
   - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915)
   - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930)
   - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816)
   - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982)
   - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073)
   - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961)
   - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992)
   - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977)
   - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964)
   - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061)
   - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089)
   - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075)
   - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132)
   - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142)
   - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174)
   - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971)
   - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978)
   - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022)
   - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041)
   - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051)
   - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952)
   - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980)
   - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926)
   - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020)
   - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042)
   - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046)
   - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080)
   - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085)
   - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104)
   - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192)
   - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949)
   - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065)
   - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194)
   - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203)
   - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803))
   - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135))
   - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441))
   - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454))
   - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220))
   - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263))
   - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257))
   - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249))
   - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358))
   - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341))
   - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347))
   - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395))
   - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434))
   - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295))
   - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316))
   - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194))
   - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280))
   - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308))
   - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332))
   - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203))
   - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378))
   - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306))
   - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383))
   - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174))
   - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239))
   - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788))
   - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473))
   - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355))
   - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330))
   - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452))
   - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425))
   - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475))
   - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180))
   - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279))
   - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243))
   - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380))
   - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444))
   - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085))
   - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302))
   - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408))
   - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461))
   - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192))
   - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361))
   - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246))
   - [RELAY] Move frontend utils (#5345)
   - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451)
   - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696)
   - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697)
   - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576)
   - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549)
   - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584)
   - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603)
   - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604)
   - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624)
   - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638)
   - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683)
   - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776)
   - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461)
   - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614)
   - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497)
   - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515)
   - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486)
   - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508)
   - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394)
   - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510)
   - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474)
   - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561)
   - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587)
   - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715)
   - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814)
   - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967)
   - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721)
   - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729)
   - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800)
   - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845)
   - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617)
   - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731)
   - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775)
   - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329)
   - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688)
   - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825)
   - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819)
   - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794)
   - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805)
   - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929)
   - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318)
   - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295)
   - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301)
   - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311)
   - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203)
   - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357)
   - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372)
   - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167)
   - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223)
   - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243)
   - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304)
   - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303)
   - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208)
   - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228)
   - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168)
   - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018)
   - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196)
   - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206)
   - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278)
   - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252)
   - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272)
   - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899)
   - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240)
   - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288)
   - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085)
   - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314)
   - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708)
   - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039)
   - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887)
   - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963)
   
   ## Relay
   
   - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files))
   - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594))
   - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610)
   - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614)
   - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608)
   - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595)
   - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619)
   - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634)
   - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502)
   - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672)
   - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318)
   - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710)
   - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711)
   - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666)
   - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652)
   - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724)
   - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723)
   - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774)
   - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695)
   - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793)
   - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795)
   - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800)
   - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642)
   - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787)
   - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696)
   - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889)
   - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879)
   - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905)
   - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497)
   - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934)
   - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944)
   - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873)
   - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990)
   - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987)
   - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938)
   - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996)
   - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014)
   - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077)
   - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083)
   - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093)
   - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087)
   - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094)
   - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118)
   - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030)
   - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106)
   - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202)
   - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143)
   - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195)
   - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988)
   - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035)
   - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128)
   - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166)
   - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043)
   - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088)
   - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847)
   - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324)
   - [RELAY] Remove re-exports of tvm.transform (#5337)
   - [Refactor] Add memoized expr translator for use by backend codegen (#5325)
   - Legalize - Use Non-recursive Rewriter. (#5296)
   - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552)
   - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615)
   - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656)
   - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701)
   - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766)
   - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653)
   - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663)
   - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674)
   - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689)
   - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693)
   - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703)
   - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760)
   - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642)
   - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467)
   - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578)
   - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616)
   - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640)
   - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622)
   - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680)
   - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681)
   - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690)
   - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698)
   - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724)
   - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781)
   - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820)
   - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888)
   - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885)
   - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993)
   - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988)
   - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199)
   - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211)
   - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945)
   - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995)
   - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958)
   - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020)
   - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997)
   - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052)
   - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030)
   - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235)
   - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134)
   - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086)
   - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105)
   - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156)
   - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159)
   - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232)
   - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422)
   - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562)
   - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493)
   - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062)
   - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327)
   - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284)
   - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124)
   - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313)
   - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326)
   - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293)
   - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336)
   - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195)
   - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826)
   - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751)
   - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782)
   - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942)
   - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951)
   - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741))
   - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296)
   
   


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[GitHub] [incubator-tvm] tqchen closed issue #6486: TVM v0.7 Release Note Candidate

Posted by GitBox <gi...@apache.org>.

tqchen closed issue #6486:
URL: https://github.com/apache/incubator-tvm/issues/6486


   


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