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Posted to dev@tvm.apache.org by Tianqi Chen <no...@github.com> on 2019/11/05 21:55:58 UTC
[apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Dear Community, thanks to everyone's effort in the past few months. This is a proposal to do a v0.6 release.
This release will be managed by the TVM PMC, with @yzhliu and myself as moderators. In the next few days we will be populating the release note in this thread. We also encourage everyone in the community to reply to the thread about pending PRs that should be included in the v0.6.
It is our first release after moving to the apache repo. So the main goal is about passing the general reviews to make sure the released product matches the ASF requirements. We hope that we can use this release to streamline the future releases
## Change List
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
@ZihengJiang can you help look into update the benchmark script?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Henry Saputra <no...@github.com>.
@tqchen , @yzhliu - please send request to review release candidate to dev@ list for TVM because not everyone probably subscribe or follow the Github repo list.
Before going to general@ list, let's vet and review the release candidate in the podling community to reduce the noise in the channel.
Thanks
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Peter Yeh <no...@github.com>.
@yzhliu @ZihengJiang I can provide some input for AMD gpu backend. please tag me in your PR. thanks
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Re: [apache/incubator-tvm] [RELEASE][DRAFT] TVM v0.6 Release
candidate (#4259)
Posted by Yizhi Liu <no...@github.com>.
@hsaputra , I remember the release artifact needs to be uploaded to apache dist svn https://dist.apache.org/repos/dist/dev/incubator/ , is it still required? I don't see tvm under the repository, shall we create one?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Wuwei Lin <no...@github.com>.
@yzhliu let's get #4295 in, it's ready to merge once ci passed
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
Kindly remind that we would like to cut the release branch as well as the RC tag (RC0) this week. If you want to get any feature into the v0.6 release, please let us know. Once the release branch is cut, we _no longer_ take new features. Bug fixes can still get in if _necessary_. @apache/tvm-committers
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
folks, is there anything need to be merged? I plan to cut the release branch the end of the day.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Zhao Wu <no...@github.com>.
Though C++ RPC haven't been reviewed, but personally, I wish C++ RPC https://github.com/apache/incubator-tvm/pull/4281 could enter into 0.6, which is a very useful feature in embedded devices, we almost use it in our production development every day.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
sounds good
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
I updated the release notes to include recent changes, as well as some known issues as @u99127 suggested. please let me know if I missed anything.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
# Build and Test
* Increate the robuteness of CI test ([#2841](https://github.com/dmlc/tvm/pull/2841), [#2798](https://github.com/dmlc/tvm/pull/2798), [#2793](https://github.com/dmlc/tvm/pull/2793), [#2788](https://github.com/dmlc/tvm/pull/2788), [#2781](https://github.com/dmlc/tvm/pull/2781), [#2727](https://github.com/dmlc/tvm/pull/2727), [#2710](https://github.com/dmlc/tvm/pull/2710), [#2711](https://github.com/dmlc/tvm/pull/2711), [#2923](https://github.com/dmlc/tvm/pull/2923))
* Improve conda build ([#2742](https://github.com/dmlc/tvm/pull/2742))
* Add caffe2 nnvm frontend to CI (#3018)
* Use bridge network and expose port on macOS when launch docker image (#3086）
* Run DarkNet tests (#2673)
* Add file type check (#3116)
* Always run cpptest during build to ensure library correctness ([#3147](https://github.com/dmlc/tvm/pull/3147))
* Handle more file types in ASF header ([#3235](https://github.com/dmlc/tvm/pull/3235))
* Add `test_forward_ssd_mobilenet_v1` to tflite/test_forward ([#3350](https://github.com/dmlc/tvm/pull/3350))
* Add Azure build pipeline ([#3458](https://github.com/dmlc/tvm/pull/3458), [#3459](https://github.com/dmlc/tvm/pull/3459))
* Update ci-gpu to v0.52 ([#3374](https://github.com/dmlc/tvm/pull/3374))
* Enable more visible symbols by default ([#3365](https://github.com/dmlc/tvm/pull/3365))
* Separate out legacy as a stage in CI ([#3337](https://github.com/dmlc/tvm/pull/3337))
* Simplify build script, remove python 2 support ([#3419](https://github.com/dmlc/tvm/pull/3419))
* Ignore rust cargo lock files in rat ([#3314](https://github.com/dmlc/tvm/pull/3314))
* Improve CUDA Conda package build ([#3281](https://github.com/dmlc/tvm/pull/3281))
* Update CMakeLists.txt to be more flexible to find the third parties libraries ([#3354](https://github.com/dmlc/tvm/pull/3354))
* Docker update conda package ([#3344](https://github.com/dmlc/tvm/pull/3344)), requests and pillow ([#3495](https://github.com/dmlc/tvm/pull/3495)), Android demo ([#3499](https://github.com/dmlc/tvm/pull/3499)), rat install ([#3527](https://github.com/dmlc/tvm/pull/3527)), ARM support ([#3546](https://github.com/dmlc/tvm/pull/3546)), LLVM ([#3590](https://github.com/dmlc/tvm/pull/3590))
* Relay-to-Python testing ([#3156](https://github.com/dmlc/tvm/pull/3156))
* Code refactoring/remove ([#3523](https://github.com/dmlc/tvm/pull/3523), [#3667](https://github.com/dmlc/tvm/pull/3667))
* Zero-rank testing ([#3612](https://github.com/dmlc/tvm/pull/3612))
* CMake compilation ([#3611](https://github.com/dmlc/tvm/pull/3611), [#3650](https://github.com/dmlc/tvm/pull/3650), google test [#3628](https://github.com/dmlc/tvm/pull/3628))
* Standalone wheel build for TOPI ([#3657](https://github.com/dmlc/tvm/pull/3657))
* Fixing performance issues in PassUpDomain when fusing and splitting axes ([#3073](https://github.com/dmlc/tvm/pull/3073))
* conda recipe ([#3791](https://github.com/dmlc/tvm/pull/3791))
* Allow users to specify download directory ([#3803](https://github.com/dmlc/tvm/pull/3803))
* Update docs for installation for CUDA ([#3832](https://github.com/dmlc/tvm/pull/3832))
* Update hybrid_script.rst ([#3799](https://github.com/dmlc/tvm/pull/3799))
* Acknowledge Halide attributions ([#3824](https://github.com/dmlc/tvm/pull/3824))
* Add psutil dependency ([#3780](https://github.com/dmlc/tvm/pull/3780))
* Temporary disable rust test ([#3809](https://github.com/dmlc/tvm/pull/3809))
* Solve occasional CI issue when pad value is all 0 ([#3801](https://github.com/dmlc/tvm/pull/3801))
* Towards TSIM CI testing ([#3704](https://github.com/dmlc/tvm/pull/3704))
* Use pip3 for python3 ([#3742](https://github.com/dmlc/tvm/pull/3742))
* Update docker image `ci_cpu,i386` to include verilator ([#3738](https://github.com/dmlc/tvm/pull/3738))
* Remove sccache from Rust install ([#3728](https://github.com/dmlc/tvm/pull/3728))
* Update dmlc-core to the latest commit ([#3716](https://github.com/dmlc/tvm/pull/3716))
* Update GPU docker ([#3709](https://github.com/dmlc/tvm/pull/3709))
* Add an option to build with -pthread ([#3671](https://github.com/dmlc/tvm/pull/3671))
* Add DGL to `{ci_gpu, demo_cpu, demo_gpu}` docker images ([#3692](https://github.com/dmlc/tvm/pull/3692))
* Use pytest instead of nosetest ([#3524](https://github.com/dmlc/tvm/pull/3524))
* Enable NHWC of `relay.testing.mobilenet` ([#3886](https://github.com/dmlc/tvm/pull/3886))
* Add .hsaco save/load for tesnor_expr Tutorial ([#3852](https://github.com/dmlc/tvm/pull/3852))
* Support LLVM trunk ([#3907](https://github.com/dmlc/tvm/pull/3907))
* Remove GTest cmake flag from install docs ([#3953](https://github.com/dmlc/tvm/pull/3953))
* Allow `USE_LLVM` to take extra arguments ([#3954](https://github.com/dmlc/tvm/pull/3954))
* [CI] Pin NNPack pthreadtools version ([#4152](https://github.com/dmlc/tvm/pull/4152))
* [TOPI] Fix flaky testcase for check round ([#4211](https://github.com/dmlc/tvm/pull/4211))
* [CI] Move gpu docker binary to cuda10 ([#4229](https://github.com/dmlc/tvm/pull/4229))
* [CI] use llvm9 for the gpu tests ([#4224](https://github.com/dmlc/tvm/pull/4224))
* [CI] Update GPU docker to cuda10 ([#4228](https://github.com/dmlc/tvm/pull/4228))
* [Relay] Install Relay Prelude program in package install ([#4227](https://github.com/dmlc/tvm/pull/4227))
* [relay] use time_evaluator for measurement ([#4191](https://github.com/dmlc/tvm/pull/4191))
* [Relay] Improve build error when no lowered funcs are produced ([#4132](https://github.com/dmlc/tvm/pull/4132))
* [llvm] switch to use Align for llvm trunk ([#4051](https://github.com/dmlc/tvm/pull/4051))
* [CUDA] Update have_int8 condition to run on compute capability 7.x devices ([#4214](https://github.com/dmlc/tvm/pull/4214))
* [DOCKER] Pin torchvision==0.4.1 ([#4140](https://github.com/dmlc/tvm/pull/4140))
* [DOCKER] torch install depends on future package ([#4098](https://github.com/dmlc/tvm/pull/4098))
* [CodeGen] Disable -mfloat-abi hard option for LLVM < 6.0 ([#4071](https://github.com/dmlc/tvm/pull/4071))
* Add a python how to example of deploying tvm module with tvm runtime only ([#4094](https://github.com/dmlc/tvm/pull/4094))
* Hide symbols from dependent libraries if HIDE_PRIVATE_SYMBOLS is ON. ([#4041](https://github.com/dmlc/tvm/pull/4041))
* [BUILD] Disable utvm standalone runtime by default ([#4240](https://github.com/dmlc/tvm/pull/4240))
* Fix TSIM compile error in Linux (add missing -fPIC flag) ([#3876](https://github.com/dmlc/tvm/pull/3876))
* Add scalafmt and format existing scala codebase ([#3880](https://github.com/dmlc/tvm/pull/3880))
* Update TFLite wheel version to 1.13.1 ([#3435](https://github.com/dmlc/tvm/pull/3435))
# Bug Fixes
* [RELAY] Fix `get_int_tuple`. (#2691)
* [ARITH] Select support for integer set analysis. (#2687)
* [Relay] Fix error in ANF (too agressively inline atomic expression and create free variable). (#2665)
* [Hybrid Script] Fix name conflict and attached scope problem. (#2649)
* [Relay] Fix ANF for reference and pattern matching. (#2637)
* [Relay] Fix fusion bug when call symbol that is not an operator. (#2630)
* Fix missing <sstream> header file. (#2629)
* [Relay]Fix the bug in heterogeneous annotation which mistakenly steps into the fused op. (#2622)
* [AutoTVM] Fix incorrect localhost usage in RPC mode. (#2619)
* [NNVM] Fix incorrectly getting layout attribute as a tuple. (#2610)
* [Relay] Fix mutating IF expression. (#2601)
* [Tutorial] Fix downloaded file path. (#2590)
* [Storage] Fix int32 overflow bug when input is big. (#2580)
* [NNVM] Fix non-identity problem for FInplaceIdentity. (#2572)
* [Golang] Fix compilation error. (#2558)
* [Tensor Expression] Fix missing reduction init predicates. (#2495)
* [Relay] Fix missing argument for NCHWc in Relay. (#2627)
* [TOPI] Fix Nms_ir data race. (#2600)
* Fix compute_inline with multiple outputs ([#2934](https://github.com/dmlc/tvm/pull/2934))
* [TEXPR][PASS] Fix thread all reduce to avoid write after read hazzard ([#2937](https://github.com/dmlc/tvm/pull/2937))
* [FRONTEND][TENSORFLOW] bug fix for tensorflow official slim models. ([#2864](https://github.com/dmlc/tvm/pull/2864))
* [FRONTEND][ONNX] Some bug fixes and Shape operator fixed for relay. ([#2850](https://github.com/dmlc/tvm/pull/2850))
* Turn on USE_SORT by default ([#2916](https://github.com/dmlc/tvm/pull/2916))
* [DOCKER] Upgrade ci-cpu to latest v0.50 ([#2901](https://github.com/dmlc/tvm/pull/2901))
* [TESTS] Import script robustness (set -u) ([#2896](https://github.com/dmlc/tvm/pull/2896))
* [Relay] Fix name of bias in testing.mlp ([#2892](https://github.com/dmlc/tvm/pull/2892))
* [TESTS] Improve script robustness ([#2893](https://github.com/dmlc/tvm/pull/2893))
* Add dense schedules to `__init__` for cpu ([#2855](https://github.com/dmlc/tvm/pull/2855))
* [Apps] [howto_deploy] fix cxx-flags order and build directory ([#2888](https://github.com/dmlc/tvm/pull/2888))
* [Relay] Add TVM_DLL for ANF/GNF conversion [#2883](https://github.com/dmlc/tvm/pull/2883)
* [Relay] Fix Relay ARM CPU depthwise spatial pack schedule alter op layout issue. ([#2861](https://github.com/dmlc/tvm/pull/2861))
* Fix setting up hints for getaddrinfo ([#2872](https://github.com/dmlc/tvm/pull/2872))
* Add missing sgx includes ([#2878](https://github.com/dmlc/tvm/pull/2878))
* Fix error reporting for missing axis ([#2835](https://github.com/dmlc/tvm/pull/2835))
* Fix an OrderDict initilization bug. ([#2862](https://github.com/dmlc/tvm/pull/2862))
* Fix Xcode 10 metal compile error ([#2836](https://github.com/dmlc/tvm/pull/2836))
* tvmrpc: Fix includes ([#2825](https://github.com/dmlc/tvm/pull/2825))
* Fix `init_proj.py`: Team ID expected ([#2824](https://github.com/dmlc/tvm/pull/2824))
* [DOCKER] Fix git clone failure. ([#2816](https://github.com/dmlc/tvm/pull/2816))
* upgrade java style-check due to CVE-2019-9658 ([#2817](https://github.com/dmlc/tvm/pull/2817))
* [Relay][Quantization] Fix duplicated simulated quantization ([#2803](https://github.com/dmlc/tvm/pull/2803))
* [Bugfix] Repeat and tile bug fixed, relay tests added ([#2804](https://github.com/dmlc/tvm/pull/2804))
* Fix caffe2 relay frontend ([#2733](https://github.com/dmlc/tvm/pull/2733))
* Fix a bug in nnvm to relay converter. ([#2756](https://github.com/dmlc/tvm/pull/2756))
* Ensure loop count is a constant before trying to unroll. ([#2797](https://github.com/dmlc/tvm/pull/2797))
* xcode.py: Decode bytes before output [#2833](https://github.com/dmlc/tvm/pull/2833)
* [WIN] Fix a bug in `find_llvm` when specify llvm-config ([#2758](https://github.com/dmlc/tvm/pull/2758))
* [DLPACK] fix flaky ctypes support ([#2759](https://github.com/dmlc/tvm/pull/2759))
* [Bugfix][Relay][Frontend] Fix bug in mxnet converter for slick_like ([#2744](https://github.com/dmlc/tvm/pull/2744))
* [DOCS] Fix tutorial ([#2724](https://github.com/dmlc/tvm/pull/2724))
* [TOPI][Relay] Fix default `out_dtype` for `conv2d_NCHWc` and Relay ([#2702](https://github.com/dmlc/tvm/pull/2702))
* [Relay] fix checkwellform ([#2705](https://github.com/dmlc/tvm/pull/2705))
fix prelu, now can use on 2d input and add one test ([#2875](https://github.com/dmlc/tvm/pull/2875))
* [CODEGEN][OPENCL] Fix compile error about ternary expression. ([#2821](https://github.com/dmlc/tvm/pull/2821))
* Fix Placeholder issue (#2834)
* Fix makedirs() condition in contrib (#2942)
* Add missing #!/bin/bash directive (#2951)
* Bilinear resize bug fix from PR #2777 (#2857)
* Fix bias_add default axis (#2829)
* Remove empty ty.rs (#2958)
* fix undefined reference to dlopen, etc (#2957)
* Removed deprecated `std::unary_function` (#2962)
* Add output format to ndk build func (#2999)
* Fix java checkstyle version (#2998)
* Fix relay invariant error message (#3011)
* Fix for caffe2 nnvm frontend (#2996)
* Fix rust resnet example (#3000)
* Fix x||!x for comparisons in rewrite simplifier (#3029)
* Fix BatchMatMulRel typerelation (#3032)
* Update dmlc-core, fix default ctors of NodeEntry (#3017)
* Fix Fuse (#3035)
* Fix PostOrderVisit signature (#3048)
* Fix winograd nnpack fp16 (#3046)
* Fix some typos (#3063, #3112)
* Fix group_conv2d unit test (#3113)
* Fix bug in ONNX importer (#3084)
* Fixing a doc nit (#3123)
* Fix type code error for StringImm (#3050)
* Fix bug of wrongly generated device_map (#2990)
* use unordered_map instead of map in ANF (#3024)
* Fix PRelu layout in Relay ([#3013](https://github.com/dmlc/tvm/pull/3013))
* Minor addition to graph runtime debug ([#3129](https://github.com/dmlc/tvm/pull/3129))
* Fix mali conv2d performance regression ([#3131](https://github.com/dmlc/tvm/pull/3131))
* Fix dense autotvm template registration in ROCm ([#3136](https://github.com/dmlc/tvm/pull/3136))
* Fix `conv2d_transpose` ([#3138](https://github.com/dmlc/tvm/pull/3138))
* Fix python lint warnings ([#3145](https://github.com/dmlc/tvm/pull/3145))
* Some fixes for golang latest version compiler #3119 ([#3182](https://github.com/dmlc/tvm/pull/3182))
* Add more syncs to fix flaky test caused by `get_valid_counts` ([#3151](https://github.com/dmlc/tvm/pull/3151))
* Fix AlterLayout Pass ([#3155](https://github.com/dmlc/tvm/pull/3155))
* Fix a multithreaded bug in llvm LazyInitJIT ([#3158](https://github.com/dmlc/tvm/pull/3158))
* Fix a tensorflow test bug. ([#3165](https://github.com/dmlc/tvm/pull/3165))
* Fix concat for ARM ([#3061](https://github.com/dmlc/tvm/pull/3061))
* Handle vectorize for LE statement ([#3137](https://github.com/dmlc/tvm/pull/3137))
* Raise exception `group_conv2d_nchw` not supported ([#3195](https://github.com/dmlc/tvm/pull/3195))
* Quick fix of VTA FPGA Toolchain Installation documentation ([#3196](https://github.com/dmlc/tvm/pull/3196))
* Check file exists before removing it ([#3178](https://github.com/dmlc/tvm/pull/3178))
* Fix a bug of flatten in ONNX to Relay converter ([#3180](https://github.com/dmlc/tvm/pull/3180))
* Fix converter where initializers were not registered as nodes ([#3143](https://github.com/dmlc/tvm/pull/3143))
* Fix bug in cast to bool ([#3207](https://github.com/dmlc/tvm/pull/3207))
* Hotfix `build_module` creation ([#3198](https://github.com/dmlc/tvm/pull/3198))
* Fix sort changing original input data issue ([#3212](https://github.com/dmlc/tvm/pull/3212))
* Fix bug in vta runtime DepPop function ([#3208](https://github.com/dmlc/tvm/pull/3208))
* Fix resize nearest with fractional scaling ([#3244](https://github.com/dmlc/tvm/pull/3244))
* Fix `vta_conv2d` crash issue after change `vta_config.json` ([#3213](https://github.com/dmlc/tvm/pull/3213))
* Fix a memory leak in OpManager ([#3263](https://github.com/dmlc/tvm/pull/3263))
* PkgConfig cause crash in PYNQ board due to link library ([#3257](https://github.com/dmlc/tvm/pull/3257))
* Fix Error messages in tflite.py ([#3320](https://github.com/dmlc/tvm/pull/3320))
* Fix typos in docs and comments ([#3309](https://github.com/dmlc/tvm/pull/3309), [#3376](https://github.com/dmlc/tvm/pull/3376))
* Bugfix min/max const canonicalize rule ([#3386](https://github.com/dmlc/tvm/pull/3386))
* Return module from frontend for autotvm ([#3401](https://github.com/dmlc/tvm/pull/3401))
* Fix constant and reshape in ONNX ([#3387](https://github.com/dmlc/tvm/pull/3387))
* Default verilator location fix ([#3324](https://github.com/dmlc/tvm/pull/3324))
* Fix autodiff for conditional expression ([#3453](https://github.com/dmlc/tvm/pull/3453))
* Gramatical improvements to `tensor_expr_get_started` ([#3330](https://github.com/dmlc/tvm/pull/3330))
* Fix AutoTVM data structure bug ([#3462](https://github.com/dmlc/tvm/pull/3462))
* Fix MXNet RNN without providing state initialization as input ([#3326](https://github.com/dmlc/tvm/pull/3326))
* Fix flaky test on topk and quantize pass ([#3362](https://github.com/dmlc/tvm/pull/3362))
* Add VTA PYNQ metal_test bitstream program logic and fix compilation issue. ([#3400](https://github.com/dmlc/tvm/pull/3400))
* Fix VTA function Vivado Compile Error. ([#3375](https://github.com/dmlc/tvm/pull/3375))
* Fix VTA DRAM functionality issue. ([#3278](https://github.com/dmlc/tvm/pull/3278))
* Fix reshape precompute and type error in ONNX frontend ([#3230](https://github.com/dmlc/tvm/pull/3230))
* Fix interpreter argument conversion for tuples. ([#3349](https://github.com/dmlc/tvm/pull/3349))
* Fix code generation for packed functions + tuples in VM ([#3287](https://github.com/dmlc/tvm/pull/3287))
* Fix memory leak in Relay interpreter ([#3448](https://github.com/dmlc/tvm/pull/3448))
* Fix x86 depthwise conv2d `alter_op_layout` ([#3264](https://github.com/dmlc/tvm/pull/3264))
* Create closure object for GlobalVar ([#3411](https://github.com/dmlc/tvm/pull/3411))
* Fix getting global var in prelude ([#3405](https://github.com/dmlc/tvm/pull/3405))
* Fix rfactor bugs which related to predicate and loop partition ([#3382](https://github.com/dmlc/tvm/pull/3382), [#3444](https://github.com/dmlc/tvm/pull/3444))
* Fix the bug in AutoTVM where SimulatedAnnealingOptimizer sometimes finds useless candidate ([#3413](https://github.com/dmlc/tvm/pull/3413))
* Fix name conflict in PartialEval ([#3402](https://github.com/dmlc/tvm/pull/3402))
* Fix int bound analysis bug for modular ([#3288](https://github.com/dmlc/tvm/pull/3288))
* Check arg positiveness for modular rules ([#3279](https://github.com/dmlc/tvm/pull/3279))
* Fixes failure of `sum` and `all` on `axis=0` ([#3422](https://github.com/dmlc/tvm/pull/3422))
* Fix package path in tflite test ([#3427](https://github.com/dmlc/tvm/pull/3427))
* Fix Windows build ([#3429](https://github.com/dmlc/tvm/pull/3429))
* Fix `LSTMBlockCell` in Tensorflow frontend ([#3410](https://github.com/dmlc/tvm/pull/3410))
* TF fix where output index is ignored ([#3622](https://github.com/dmlc/tvm/pull/3622))
* Runtime fix for custom datatypes ([#3471](https://github.com/dmlc/tvm/pull/3471))
* Relay build module warnings ([#3452](https://github.com/dmlc/tvm/pull/3452))
* Relay partial evaluator ([#3482](https://github.com/dmlc/tvm/pull/3482))
* Pynq AutoTVM tracker ([#3497](https://github.com/dmlc/tvm/pull/3497), [#3578](https://github.com/dmlc/tvm/pull/3578))
* A normal form test ([#3525](https://github.com/dmlc/tvm/pull/3525))
* Lint issue ([#3519](https://github.com/dmlc/tvm/pull/3519), [#3615](https://github.com/dmlc/tvm/pull/3615) )
* Any shape testing ([#3528](https://github.com/dmlc/tvm/pull/3528))
* Android posix_memalign ([#3532](https://github.com/dmlc/tvm/pull/3532))
* Quantization add_rewrite and UnifyDTypeScale ([#3534](https://github.com/dmlc/tvm/pull/3534))
* Bound inference fix ([#3526](https://github.com/dmlc/tvm/pull/3526))
* Tensorflow NCHW data format ([#3514](https://github.com/dmlc/tvm/pull/3514))
* First order gradient ([#3550](https://github.com/dmlc/tvm/pull/3550))
* JS load module example ([#3556](https://github.com/dmlc/tvm/pull/3556))
* Build error ([#3552](https://github.com/dmlc/tvm/pull/3552))
* Relay VM debug statements ([#3565](https://github.com/dmlc/tvm/pull/3565))
* C++ lambda expr ([#3570](https://github.com/dmlc/tvm/pull/3570))
* Handling of tempdir if subprocess is killed ([#3574](https://github.com/dmlc/tvm/pull/3574))
* Remove tabs in Chisel source ([#3603](https://github.com/dmlc/tvm/pull/3603))
* Relay VM DataTypeObject ([#3604](https://github.com/dmlc/tvm/pull/3604))
* Removing prints ([#3616](https://github.com/dmlc/tvm/pull/3616))
* Average Pool2D Bug ([#3607](https://github.com/dmlc/tvm/pull/3607))
* Missing header in cuda_device_api.cc ([#3621](https://github.com/dmlc/tvm/pull/3621))
* Tensorflow frontend fix where output_shape is None ([#3632](https://github.com/dmlc/tvm/pull/3632))
* Winograd accuracy fix ([#3644](https://github.com/dmlc/tvm/pull/3644))
* Fix comment ([#3646](https://github.com/dmlc/tvm/pull/3646))
* Zero-input op fix for recursive traversals ([#3623](https://github.com/dmlc/tvm/pull/3623))
* Python 3.5 compatibility ([#3675](https://github.com/dmlc/tvm/pull/3675))
* Fix infinite recursive `device_api.ext_dev` call in VTA. ([#3843](https://github.com/dmlc/tvm/pull/3843))
* Fix depth_mult for TensorFlow frontend ([#3676](https://github.com/dmlc/tvm/pull/3676))
* Fix database APIs for AutoTVM ([#3821](https://github.com/dmlc/tvm/pull/3821))
* Fix axis of softmax in Keras ([#3834](https://github.com/dmlc/tvm/pull/3834))
* Fix VTA TensorLoad module ([#3841](https://github.com/dmlc/tvm/pull/3841))
* Fix inconsistent python/cpp API behavior for `if_then_else`, power ([#3829](https://github.com/dmlc/tvm/pull/3829))
* Fix code comment of operators in ONNX frontend ([#3830](https://github.com/dmlc/tvm/pull/3830))
* Added repo for llvm-9 to fix missing dependency issue ([#3826](https://github.com/dmlc/tvm/pull/3826))
* Fix typo in Relay text parser ([#3785](https://github.com/dmlc/tvm/pull/3785))
* Fix tvm const warnings ([#3817](https://github.com/dmlc/tvm/pull/3817))
* Add gfx906 bc ([#3808](https://github.com/dmlc/tvm/pull/3808))
* Fixed onnx test failures when run on a cpu backend ([#3764](https://github.com/dmlc/tvm/pull/3764))
* Fix ArgBinder assert order ([#3794](https://github.com/dmlc/tvm/pull/3794))
* Fix for NoneType Target for quantization ([#3792](https://github.com/dmlc/tvm/pull/3792))
* Fix out-of-date quantization realize ([#3790](https://github.com/dmlc/tvm/pull/3790))
* Fix Qnn concatenate InferType ([#3779](https://github.com/dmlc/tvm/pull/3779))
* Fix dense tuning ([#3768](https://github.com/dmlc/tvm/pull/3768))
* Fix `visit_pattern` in ExprMutator ([#3769](https://github.com/dmlc/tvm/pull/3769))
* Fix Chisel Scala style ([#3765](https://github.com/dmlc/tvm/pull/3765))
* Fix some pass docs ([#3767](https://github.com/dmlc/tvm/pull/3767))
* Fix mistype in rpc tutorial ([#3763](https://github.com/dmlc/tvm/pull/3763))
* Fix tvm.scan follow by tvm.compute segfault ([#3723](https://github.com/dmlc/tvm/pull/3723))
* Fix the potential index overflow in where operator ([#3751](https://github.com/dmlc/tvm/pull/3751))
* Revert `compile_cmd` kwarg name change ([#3746](https://github.com/dmlc/tvm/pull/3746))
* Update tophub ([#3752](https://github.com/dmlc/tvm/pull/3752))
* Fix typo in `ir_pass.h` ([#3741](https://github.com/dmlc/tvm/pull/3741))
* Bug fix for VME Shell ([#3737](https://github.com/dmlc/tvm/pull/3737))
* Fix missing apt https transport support ([#3735](https://github.com/dmlc/tvm/pull/3735))
* Take zero extent loops as NoOp and remove it ([#3724](https://github.com/dmlc/tvm/pull/3724))
* Fix mxnet converter for hybridblock and add `div_sqrt_dim` ([#3701](https://github.com/dmlc/tvm/pull/3701))
* Fix partial eval unit test name ([#3719](https://github.com/dmlc/tvm/pull/3719))
* Fix conv2d schedule code ([#3648](https://github.com/dmlc/tvm/issues/3648), [#3717](https://github.com/dmlc/tvm/pull/3717))
* Remove thread related headers ([#3713](https://github.com/dmlc/tvm/pull/3713))
* Fix FunctionPass ([#3712](https://github.com/dmlc/tvm/pull/3712))
* Export tvm::relay::OpRegistry::OpRegistry ([#3711](https://github.com/dmlc/tvm/pull/3711))
* Fix Metal reinterpret ([#3706](https://github.com/dmlc/tvm/pull/3706))
* Fix `gather_nd` in Relay ([#3442](https://github.com/dmlc/tvm/pull/3442))
* Fix error in partial evaluator ([#3693](https://github.com/dmlc/tvm/pull/3693))
* Align the naming rule for OpAttributeUnImplemented ([#3695](https://github.com/dmlc/tvm/pull/3695))
* Enable the sparse schedule ([#3651](https://github.com/dmlc/tvm/pull/3651))
* Fix typo names in Caffe2 frontend ([#3685](https://github.com/dmlc/tvm/pull/3685))
* Make tests multi-process friendly. ([#3683](https://github.com/dmlc/tvm/pull/3683))
* Fix typo in README.md ([#3684](https://github.com/dmlc/tvm/pull/3684))
* Fix doc rendering ([#3897](https://github.com/dmlc/tvm/pull/3897))
* Add test script starter command to document ([#3993](https://github.com/dmlc/tvm/pull/3993))
* Add type solver unit tests for unifying quantified funcs ([#3947](https://github.com/dmlc/tvm/pull/3947))
* Change Vivado install instructions to version 2018.3 ([#4003](https://github.com/dmlc/tvm/pull/4003))
* Add a link to the defining network description of auto-tuning tutorial ([#4023](https://github.com/dmlc/tvm/pull/4023))
* Additional MXNet Convolution and Deconvolution tests ([#4026](https://github.com/dmlc/tvm/pull/4026))
* Adding support to check if an attribute is present or not without having to get the value ([#3957](https://github.com/dmlc/tvm/pull/3957))
* Fix parser for cast. ([#3873](https://github.com/dmlc/tvm/pull/3873))
* Fix operator fusion for multiple output ([#3871](https://github.com/dmlc/tvm/pull/3871))
* Remove extern C warpper for cuBLAS ([#3877](https://github.com/dmlc/tvm/pull/3877))
* Fix int32 range overflow by using int64 ([#3870](https://github.com/dmlc/tvm/pull/3870))
* Remove duplicate resize ([#3902](https://github.com/dmlc/tvm/pull/3902))
* Fix blas cmake for mac os ([#3898](https://github.com/dmlc/tvm/pull/3898))
* Add another MKL name alias for MKL installed through pypi ([#3853](https://github.com/dmlc/tvm/pull/3853))
* Numpy compatible dtype inference for `tvm.convert` and `tvm.const` ([#3861](https://github.com/dmlc/tvm/pull/3861))
* Remove incorrect check for LLVM in C codegen test ([#3921](https://github.com/dmlc/tvm/pull/3921))
* Fix exponential blowup in interpreter ([#3559](https://github.com/dmlc/tvm/pull/3559))
* Fix CUDA int8x4 vectorize ([#3928](https://github.com/dmlc/tvm/pull/3928))
* Make buffer auto broadcast independent to the order of input args ([#3956](https://github.com/dmlc/tvm/pull/3956))
* Fix benchmark layout in graph tuner ([#3926](https://github.com/dmlc/tvm/pull/3926))
* Fix Android Demo LLVM version ([#3962](https://github.com/dmlc/tvm/pull/3962))
* Cast filepath arguments to string ([#3968](https://github.com/dmlc/tvm/pull/3968))
* Fixes "common" sub crate using nightly and master ([#3965](https://github.com/dmlc/tvm/pull/3965))
* Changes to make tensorize work. These changes also fix the previously broken test. ([#3981](https://github.com/dmlc/tvm/pull/3981))
* Remove FLOP computation when calling 3rd party library ([#4005](https://github.com/dmlc/tvm/pull/4005))
* Use a more intuitive way to limit the #ops in a group ([#4018](https://github.com/dmlc/tvm/pull/4018))
* Add more `pad_mode` support for onnx converter ([#4029](https://github.com/dmlc/tvm/pull/4029))
* Impose a max op limit to the op fusion pass ([#4002](https://github.com/dmlc/tvm/pull/4002))
* Fixes issue with CPP enums ([#4019](https://github.com/dmlc/tvm/pull/4019))
* Int64 shape handling for outputs. ([#4031](https://github.com/dmlc/tvm/pull/4031))
* [PYTHON] Fix installation for generated grammar ([#4223](https://github.com/dmlc/tvm/pull/4223))
* [Bugfix] Fix target host for vm compiler ([#4057](https://github.com/dmlc/tvm/pull/4057))
* [Fix][VM] Fix VM invoke with set_params ([#4079](https://github.com/dmlc/tvm/pull/4079))
* [Fix] Fix a few bugs when dtype is fp16 ([#4088](https://github.com/dmlc/tvm/pull/4088))
* [Relay][Frontend][TF] Fix Size operator ([#4175](https://github.com/dmlc/tvm/pull/4175))
* [cmake][ANTLR] Support setting path to ANTLR jar ([#4176](https://github.com/dmlc/tvm/pull/4176))
* Fix infer type of kernel in dense. ([#4125](https://github.com/dmlc/tvm/pull/4125))
* [Relay] Fix match case in Python-side expr functor ([#4037](https://github.com/dmlc/tvm/pull/4037))
* Split adaptive_pool2d_avg into sum and div ([#4186](https://github.com/dmlc/tvm/pull/4186))
* [AutoTVM] Fix Split Factors when no_tail is off ([#4044](https://github.com/dmlc/tvm/pull/4044))
* Fix extent one for the `post_stmt` in loop partition ([#3734](https://github.com/dmlc/tvm/pull/3734))
* [TOPI] Fix bug in intel graphics auto tune ([#4093](https://github.com/dmlc/tvm/pull/4093))
* [ARITH] Fix lowering of `floormod(x, y) != 0` ([#4127](https://github.com/dmlc/tvm/pull/4127))
* [ARITH] Fix the rule `y < x && x <= y` ([#4220](https://github.com/dmlc/tvm/pull/4220))
* [Bugfix][TF] reset graph after getting tag of savedmodel ([#4055](https://github.com/dmlc/tvm/pull/4055))
* [Fix] Fix the logic of the number of nodes checking in op fusion ([#4074](https://github.com/dmlc/tvm/pull/4074))
* [VTA] hotfix for de10-nano driver ([#4081](https://github.com/dmlc/tvm/pull/4081))
* Fixing tensor not found issue in bitserial operator ([#4095](https://github.com/dmlc/tvm/pull/4095))
* Fix wrong `n_trial` number in autotvm tutorials' progress bar if `n_trial` is larger then config space. ([#4070](https://github.com/dmlc/tvm/pull/4070))
* [PATCH] Fix undefined `__floatdihf` in libtvmruntime.so on aarch64. ([#4119](https://github.com/dmlc/tvm/pull/4119))
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Henry Saputra <no...@github.com>.
Thanks, @tqchen, Yes, I just noticed the emails also sent to dev@ list too :+1:
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by masahi <no...@github.com>.
We need to update [benchmarks](https://github.com/apache/incubator-tvm/tree/master/apps/benchmark) to use Relay, before we deprecate NNVM.
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Re: [apache/incubator-tvm] [RELEASE][DRAFT] TVM v0.6 Release
candidate (#4259)
Posted by Tianqi Chen <no...@github.com>.
Closed #4259.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
FYI, the common checklist used for release
- Incubating in name
- DISCLAIMER exists
- LICENSE and NOTICE are fine
- No unexpected binary files
- Checked PGP signatures
- Checked Checksums
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
Thanks Henry This thread is already on dev@ :) — all github thread with RFC and DEV tags are automatically mirrored at dev@
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
There is a temporary ci outrage due to http request timeout of the dataset let us make sure the ci is green
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yao Wang <no...@github.com>.
Symbolic Shape Enhancement:
Add more shape functions commonly used in cv models: https://github.com/apache/incubator-tvm/pull/4179
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@vinx13 thanks. updated.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Wuwei Lin <no...@github.com>.
typo: enhence -> enhance
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
To further reduce the noise for our ASF PMC members and mentors, I would recommend future tag release related thread with [RELEASE] prefix, so our those who only want to watch related thread can setup email filter to watch this prefix
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Zhao Wu <no...@github.com>.
do we have the deadline now? because i have one pr of thread performance #4344
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Ramana Radhakrishnan <no...@github.com>.
Should we have a known issues section ?
These are some initial thoughts from the top of my head over the last 5 minutes. I am sure that there are more.
- Tflite rounding vs tvm rounding causing differences in accuracy and potentially off by 1 errors. For reference https://github.com/apache/incubator-tvm/pull/3900#discussion_r334324818 . If we release without the PR, atleast we need a note about this.
- We should make it clear that the tflite pre-quantized network support is still a work in progress and the project would welcome further contributions.
- Do we as a community need to get any open correctness issues fixed before the release ? I'm assuming a quick scan has been performed.
In terms of 0.7 onwards I think we should be starting to think about criteria for a release and come up with some initial strawman proposals.
regards
Ramana
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Peter Yeh <no...@github.com>.
@yzhliu We'd love to push #4305 #4321 #4341 #4342 (fix and refactoring for AMD gpu backend) into TVM 0.6 release. thx
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Junru Shao <no...@github.com>.
There are two weird characters, I am not sure if this is the issue of my browser:
1) After the sentence "Formalize Integer Arithmetic Analysis"
2) After the sentence "Support SpaceToBatchND/BatchToSpaceND in Tensorflow frontend".
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
I have created v0.6.0 branch. I'm about to update the release notes.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
I updated the issue, please let us know if anything's missing.
(I didn't include "Build and Test" and "Bug fixes" section as the entire content happens to be long enough that github prevents me from posting it.)
One thing we need to discuss is whether NNVM needs to be deprecated in v0.6 release and how.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
The next steps are roughly,
1. Tag release candidate
2. Create binary artifact
3. Vote on dev@ mail-list (if fail, make change, go to step 1)
4. Vote on general@ mail-list (if fail, make change, go to step 1)
5. Finalize the release
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
We will mainly refer to [Apache MXNet release note](https://github.com/apache/incubator-mxnet/releases). I'll create a draft today and tomorrow, everyone is welcomed to comment if anything should be included is missing.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
I don't have access to some of the devices, I can update the others. @merrymercy @tqchen what's your suggestion?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@u99127 Good idea, will add.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
@yzhliu can we start a RFC thread before vote on dev@? just like a discuss thread that we can get feedbacks, before we open a vote, we can also invite ASF mentors to help check
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
That should be a quick fix(see the reference PR which fixed a related problem. I would recommend doing so
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@tqchen should we wait till #4378 is fixed?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@tqchen Shall we print warning message when ppl use nnvm?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@tqchen RFC after tag?
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
Release note updated.
Also remove the unexpected characters Thanks @junrushao1994
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
wrt to nnvm. Our original proposal is to keep nnvm until v0.6 release. Which means nnvm will appear in v0.6 with limited support(the legacy api still passes test cases). Then we will remove nnvm compiler support after v0.6 release
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Yizhi Liu <no...@github.com>.
@kevinthesun Thanks. I'll go through the merging history make sure everything since the last monthly report gets into the release note.
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Re: [apache/incubator-tvm] [DEV][DRAFT] TVM v0.6 Release candidate
(#4259)
Posted by Tianqi Chen <no...@github.com>.
Yes, we can do that
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