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Posted to dev@tvm.apache.org by ziheng <no...@github.com.INVALID> on 2020/09/25 00:47:09 UTC
Re: [apache/incubator-tvm] TVM v0.7 Release Note Candidate (#6486)

# 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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