[GitHub] [tvm] masahi edited a comment on pull request #7123: Parallelize cumsum in get_valid_counts

masahi edited a comment on pull request #7123: URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182 @Laurawly The plan is after we merge this first, we will generalize the cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we can update our CUDA `arg

[tvm] branch main updated (c6b766a -> c02c9c5)

This is an automated email from the ASF dual-hosted git repository. laurawly pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from c6b766a [Relay][Op] Remove reverse attribute from reshape and reverse_reshape operators. (#7086) add c02c9c5 Par

[GitHub] [tvm] Laurawly commented on pull request #7123: Parallelize cumsum in get_valid_counts

Laurawly commented on pull request #7123: URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856716 > @Laurawly The plan is after we merge this first, we will generaliz the cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we can update our CUDA `argwher

[GitHub] [tvm] Laurawly merged pull request #7123: Parallelize cumsum in get_valid_counts

Laurawly merged pull request #7123: URL: https://github.com/apache/tvm/pull/7123 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] masahi edited a comment on pull request #7123: Parallelize cumsum in get_valid_counts

masahi edited a comment on pull request #7123: URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182 @Laurawly The plan is after we merge this first, we will generaliz the cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we can update our CUDA `argw

[GitHub] [tvm] masahi commented on pull request #7123: Parallelize cumsum in get_valid_counts

masahi commented on pull request #7123: URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182 @Laurawly The plan is after we merge this first, we will generalized the cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we can update our CUDA `argwhere`

[GitHub] [tvm] masahi commented on a change in pull request #7123: Parallelize cumsum in get_valid_counts

masahi commented on a change in pull request #7123: URL: https://github.com/apache/tvm/pull/7123#discussion_r550404065 ## File path: python/tvm/topi/vision/nms.py ## @@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0, score_index=1): out_indices:

[GitHub] [tvm] masahi commented on a change in pull request #7123: Parallelize cumsum in get_valid_counts

masahi commented on a change in pull request #7123: URL: https://github.com/apache/tvm/pull/7123#discussion_r550404065 ## File path: python/tvm/topi/vision/nms.py ## @@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0, score_index=1): out_indices:

[GitHub] [tvm] Laurawly commented on a change in pull request #7123: Parallelize cumsum in get_valid_counts

Laurawly commented on a change in pull request #7123: URL: https://github.com/apache/tvm/pull/7123#discussion_r550403082 ## File path: python/tvm/topi/vision/nms.py ## @@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0, score_index=1): out_indice

[GitHub] [tvm] areusch commented on a change in pull request #7164: [µTVM] Add documentation

areusch commented on a change in pull request #7164: URL: https://github.com/apache/tvm/pull/7164#discussion_r550402038 ## File path: docs/dev/index.rst ## @@ -396,3 +396,11 @@ Security :maxdepth: 1 security + + +microTVM +- +.. toctree:: Review comment:

[GitHub] [tvm] Laurawly opened a new pull request #7187: [Fix] Tensor core type issue for dense

Laurawly opened a new pull request #7187: URL: https://github.com/apache/tvm/pull/7187 As mentioned in PR #7146, previous tensor core code lacks type check and this PR is trying to fix that. cc @jcf94 @merrymercy @Meteorix --

[GitHub] [tvm] Laurawly commented on a change in pull request #7146: [CUDA]batch_matmul tensorcore schedule

Laurawly commented on a change in pull request #7146: URL: https://github.com/apache/tvm/pull/7146#discussion_r550363118 ## File path: python/tvm/relay/op/strategy/cuda.py ## @@ -657,6 +657,23 @@ def batch_matmul_strategy_cuda(attrs, inputs, out_type, target): nam

[GitHub] [tvm] FrozenGene commented on a change in pull request #7185: [AutoScheduler] Add custom build function

FrozenGene commented on a change in pull request #7185: URL: https://github.com/apache/tvm/pull/7185#discussion_r550388292 ## File path: python/tvm/auto_scheduler/measure.py ## @@ -303,11 +306,16 @@ class LocalBuilder(ProgramBuilder): This is used in a wrapper of the m

[GitHub] [tvm] Meteorix closed issue #7008: [RELAY][BUG]type inference is slow

Meteorix closed issue #7008: URL: https://github.com/apache/tvm/issues/7008 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the spec

[GitHub] [tvm] sxjscience closed issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

sxjscience closed issue #6721: URL: https://github.com/apache/tvm/issues/6721 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the sp

[GitHub] [tvm] sxjscience commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

sxjscience commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752828593 Move to https://github.com/apache/tvm/issues/7186 This is an automated message from the Apache Git Service. To respond

[GitHub] [tvm] sxjscience commented on issue #7186: [Frontend][MXNet] Importer Missing Operators

sxjscience commented on issue #7186: URL: https://github.com/apache/tvm/issues/7186#issuecomment-752828553 @junrushao1994 I created this new issue. Also, I just figured out that I cannot attach the "help wanted" label so would you help with that? --

[GitHub] [tvm] sxjscience opened a new issue #7186: [Frontend][MXNet] Importer Missing Operators

sxjscience opened a new issue #7186: URL: https://github.com/apache/tvm/issues/7186 # Feature Request Recently, TVM has supported the incoming MXNet 2.0 frontend via a series of PRs: https://github.com/apache/incubator-tvm/pull/6054, https://github.com/apache/incubator-tvm/pull/6699

[GitHub] [tvm] junrushao1994 commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

junrushao1994 commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752823550 What about creating a new one, categorizing operators like #1799 does This is an automated message from the Apache

[GitHub] [tvm] sxjscience commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

sxjscience commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752823206 Sounds good to me. Should I change the title of this issue so we may reuse that? (Or create a new one?) This is an au

[GitHub] [tvm] leowang1225 commented on pull request #7185: [AutoScheduler] Add custom build function

leowang1225 commented on pull request #7185: URL: https://github.com/apache/tvm/pull/7185#issuecomment-752822165 > Signed-off-by: leowang1225 [810916...@qq.com](mailto:810916...@qq.com) > > Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribu

[GitHub] [tvm] leowang1225 opened a new pull request #7185: [AutoScheduler] Add custom build function

leowang1225 opened a new pull request #7185: URL: https://github.com/apache/tvm/pull/7185 Signed-off-by: leowang1225 <810916...@qq.com> Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribute/ for useful information and tips. After the pull

[GitHub] [tvm] junrushao1994 commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

junrushao1994 commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752817334 Yeah we can have a consolidated "[Frontend][MXNet] Importer Missing Operators" thread and mark it as "help wanted". What do you think?

[GitHub] [tvm] junrushao1994 commented on issue #6817: [WASM] apps/wasm-standalone is broken

junrushao1994 commented on issue #6817: URL: https://github.com/apache/tvm/issues/6817#issuecomment-752816644 Closed via #6862. Please feel free to reopen if the bug still exists. Thanks! This is an automated message from the

[GitHub] [tvm] junrushao1994 closed issue #6817: [WASM] apps/wasm-standalone is broken

junrushao1994 closed issue #6817: URL: https://github.com/apache/tvm/issues/6817 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] comaniac opened a new pull request #7184: [ConvertLayout] slice_like support

comaniac opened a new pull request #7184: URL: https://github.com/apache/tvm/pull/7184 Add support to convert layouts for `slice_like` operator. The current limitation is that we require the layout of both inputs to perform the layout inference. It means if one of the inputs is input tenso

[GitHub] [tvm] sxjscience commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

sxjscience commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752811662 I think we can create a thread about that. Do you think that we should create a new one? This is an automated message

[GitHub] [tvm] junrushao1994 commented on issue #6721: [FRONTEND][MXNET 2.0] Support three missing operators: _npi_subtract_scalar, _npi_stack, _npi_advanced_indexing_multiple

junrushao1994 commented on issue #6721: URL: https://github.com/apache/tvm/issues/6721#issuecomment-752811499 Hey Xingjian, thanks for bringing this up! It is certainly more than welcome for future contribution. Shall we put up a list of MXNet operators to be supported and consolidate them

[GitHub] [tvm] junrushao1994 commented on issue #7008: [RELAY][BUG]type inference is slow

junrushao1994 commented on issue #7008: URL: https://github.com/apache/tvm/issues/7008#issuecomment-752811155 If there is no actionable item, I suggest we merge this particular issue to relay improvements, and close this thread.

[tvm] branch main updated: [Relay][Op] Remove reverse attribute from reshape and reverse_reshape operators. (#7086)

This is an automated email from the ASF dual-hosted git repository. tqchen pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new c6b766a [Relay][Op] Remove reverse attribute from resh

[GitHub] [tvm] tqchen merged pull request #7086: [Relay][Op] Remove reverse attribute from reshape and reverse_reshape operators.

tqchen merged pull request #7086: URL: https://github.com/apache/tvm/pull/7086 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the s

[GitHub] [tvm] junrushao1994 commented on issue #7079: [CUDA] argmax in tvm.tir.scan operation

junrushao1994 commented on issue #7079: URL: https://github.com/apache/tvm/issues/7079#issuecomment-752810786 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) and ask general usability issues. Thanks!

[GitHub] [tvm] junrushao1994 closed issue #7079: [CUDA] argmax in tvm.tir.scan operation

junrushao1994 closed issue #7079: URL: https://github.com/apache/tvm/issues/7079 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] junrushao1994 commented on issue #6990: Try gradient with relay.build() failed

junrushao1994 commented on issue #6990: URL: https://github.com/apache/tvm/issues/6990#issuecomment-752810735 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) and ask general usability issues. Thanks!

[GitHub] [tvm] junrushao1994 closed issue #6990: Try gradient with relay.build() failed

junrushao1994 closed issue #6990: URL: https://github.com/apache/tvm/issues/6990 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] Laurawly commented on a change in pull request #7146: [CUDA]batch_matmul tensorcore schedule

Laurawly commented on a change in pull request #7146: URL: https://github.com/apache/tvm/pull/7146#discussion_r550363118 ## File path: python/tvm/relay/op/strategy/cuda.py ## @@ -657,6 +657,23 @@ def batch_matmul_strategy_cuda(attrs, inputs, out_type, target): nam

[GitHub] [tvm] jwfromm commented on pull request #7086: [Relay][Op] Remove reverse attribute from reshape and reverse_reshape operators.

jwfromm commented on pull request #7086: URL: https://github.com/apache/tvm/pull/7086#issuecomment-752792218 @icemelon9, I made the change recommended by TQ. This should now be ready to merge. This is an automated message fr

[GitHub] [tvm] junrushao1994 closed issue #7155: Potential bug for SearchSpace length

junrushao1994 closed issue #7155: URL: https://github.com/apache/tvm/issues/7155 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] junrushao1994 commented on issue #7155: Potential bug for SearchSpace length

junrushao1994 commented on issue #7155: URL: https://github.com/apache/tvm/issues/7155#issuecomment-752770806 Closed via #7175 This is an automated message from the Apache Git Service. To respond to the message, please log o

[GitHub] [tvm] junrushao1994 commented on issue #7176: OpNotImplemented: The following operators are not supported for frontend ONNX: Softplus

junrushao1994 commented on issue #7176: URL: https://github.com/apache/tvm/issues/7176#issuecomment-752770671 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) since it is not a bug. Thanks!

[GitHub] [tvm] junrushao1994 closed issue #7176: OpNotImplemented: The following operators are not supported for frontend ONNX: Softplus

junrushao1994 closed issue #7176: URL: https://github.com/apache/tvm/issues/7176 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] junrushao1994 edited a comment on issue #7176: OpNotImplemented: The following operators are not supported for frontend ONNX: Softplus

junrushao1994 edited a comment on issue #7176: URL: https://github.com/apache/tvm/issues/7176#issuecomment-752254454 Looks like softplus is not implemented yet, so a PR is more than welcomed :-) This is an automated message

[GitHub] [tvm] junrushao1994 commented on issue #7178: CPU core number setting

junrushao1994 commented on issue #7178: URL: https://github.com/apache/tvm/issues/7178#issuecomment-752770468 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) and ask general usability issues. Thanks!

[GitHub] [tvm] junrushao1994 closed issue #7178: CPU core number setting

junrushao1994 closed issue #7178: URL: https://github.com/apache/tvm/issues/7178 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] junrushao1994 commented on issue #7179: [Auto Scheduler] Add custom build func support

junrushao1994 commented on issue #7179: URL: https://github.com/apache/tvm/issues/7179#issuecomment-752770377 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) and ask general usability issues. Thanks! BTW, I agree with a

[GitHub] [tvm] junrushao1994 closed issue #7179: [Auto Scheduler] Add custom build func support

junrushao1994 closed issue #7179: URL: https://github.com/apache/tvm/issues/7179 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] junrushao1994 commented on issue #7182: VTA test fail while running the 2D convolution testbench on Pynq

junrushao1994 commented on issue #7182: URL: https://github.com/apache/tvm/issues/7182#issuecomment-752769933 Thanks for your interests in TVM. Please create a thread at the discuss forum (https://discuss.tvm.apache.org/) and ask general usability issues. Thanks!

[GitHub] [tvm] junrushao1994 closed issue #7182: VTA test fail while running the 2D convolution testbench on Pynq

junrushao1994 closed issue #7182: URL: https://github.com/apache/tvm/issues/7182 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] codeislife99 opened a new issue #7183: test_arith_solve_linear_inequality.py fails due to non-deterministic test

codeislife99 opened a new issue #7183: URL: https://github.com/apache/tvm/issues/7183 tests/python/unittest/test_arith_solve_linear_inequality.py:73: fails with seed 3858162330384474861 This is an automated message from

[GitHub] [tvm] codeislife99 commented on pull request #7126: Sparse fill empty rows op

codeislife99 commented on pull request #7126: URL: https://github.com/apache/tvm/pull/7126#issuecomment-752721781 @tkonolige @mbrookhart This PR is ready for re-review as well whenever you are back from vacation. This is an

[GitHub] [tvm] codeislife99 commented on a change in pull request #7126: Sparse fill empty rows op

codeislife99 commented on a change in pull request #7126: URL: https://github.com/apache/tvm/pull/7126#discussion_r550291956 ## File path: src/relay/op/tensor/transform.cc ## @@ -1553,6 +1553,65 @@ RELAY_REGISTER_OP("meshgrid") .set_attr("FTVMCompute", MeshgridCompute)

[GitHub] [tvm] codeislife99 commented on a change in pull request #7126: Sparse fill empty rows op

codeislife99 commented on a change in pull request #7126: URL: https://github.com/apache/tvm/pull/7126#discussion_r550279440 ## File path: python/tvm/relay/op/transform.py ## @@ -1320,3 +1320,83 @@ def adv_index(inputs): Output tensor. """ return _make.adv_in

[GitHub] [tvm] juannzou commented on pull request #6012: [VTA] Move compiler related registry items to vta/build_module.py

juannzou commented on pull request #6012: URL: https://github.com/apache/tvm/pull/6012#issuecomment-752647032 Hi @lhf1997 I had the same issue. Have you tried with [Pynq bitstream 0.0.2](https://github.com/uwsampl/vta-distro/tree/master/bitstreams/pynq/0.0.2)? It worked for me! But

[GitHub] [tvm] juannzou opened a new issue #7182: VTA test fail while running the 2D convolution testbench on Pynq

juannzou opened a new issue #7182: URL: https://github.com/apache/tvm/issues/7182 I am getting an error while following [Testing Pynq-based Hardware Setup](https://tvm.apache.org/docs/vta/install.html#testing-your-pynq-based-hardware-setup). First I used [Pynq 0.0.1 bitstream](https

[GitHub] [tvm] FrozenGene commented on pull request #7181: [Auto Scheduler][fix] Add dense strategy for mali

FrozenGene commented on pull request #7181: URL: https://github.com/apache/tvm/pull/7181#issuecomment-752526322 It is merged now, thanks @leowang1225 This is an automated message from the Apache Git Service. To respond to th

[tvm] branch main updated: [Auto Scheduler][fix] Add dense strategy for mali (#7181)

This is an automated email from the ASF dual-hosted git repository. zhaowu pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new 712b4a5 [Auto Scheduler][fix] Add dense strategy for m

[GitHub] [tvm] FrozenGene merged pull request #7181: [Auto Scheduler][fix] Add dense strategy for mali

FrozenGene merged pull request #7181: URL: https://github.com/apache/tvm/pull/7181 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to t

[GitHub] [tvm] merrymercy merged pull request #7180: [AutoScheduler] Fix for zero-rank output

merrymercy merged pull request #7180: URL: https://github.com/apache/tvm/pull/7180 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to t

[tvm] branch main updated: [AutoScheduler] Fix policy for zero-rank output (#7180)

This is an automated email from the ASF dual-hosted git repository. lmzheng pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new f904d4f [AutoScheduler] Fix policy for zero-rank outp

[GitHub] [tvm] codeislife99 commented on a change in pull request #7126: Sparse fill empty rows op

codeislife99 commented on a change in pull request #7126: URL: https://github.com/apache/tvm/pull/7126#discussion_r550161068 ## File path: python/tvm/relay/op/transform.py ## @@ -1320,3 +1320,84 @@ def adv_index(inputs): Output tensor. """ return _make.adv_in

[GitHub] [tvm] codeislife99 commented on pull request #7125: Sparse reshape op

codeislife99 commented on pull request #7125: URL: https://github.com/apache/tvm/pull/7125#issuecomment-752427169 Thats understandable ofcourse, I can wait for the full review. In the meantime I will create a branch with all the three Ops and E2E testing.

[tvm] branch main updated (66e123f -> 6a4c51e)

This is an automated email from the ASF dual-hosted git repository. masahi pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from 66e123f [TOPI] Parallelize GPU NMS inner loop (#7172) add 6a4c51e [AutoScheduler] Use VM to extract tasks for dynam

[GitHub] [tvm] masahi commented on pull request #7173: [AutoScheduler] Use VM to extract tasks for dynamic models

masahi commented on pull request #7173: URL: https://github.com/apache/tvm/pull/7173#issuecomment-752417084 thanks @comaniac @jcf94 @merrymercy This is an automated message from the Apache Git Service. To respond to the mess

[GitHub] [tvm] masahi merged pull request #7173: [AutoScheduler] Use VM to extract tasks for dynamic models

masahi merged pull request #7173: URL: https://github.com/apache/tvm/pull/7173 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the s

[GitHub] [tvm] masahi merged pull request #7172: [TOPI] Parallelize GPU NMS inner loop

masahi merged pull request #7172: URL: https://github.com/apache/tvm/pull/7172 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the s

[GitHub] [tvm] masahi commented on pull request #7172: [TOPI] Parallelize GPU NMS inner loop

masahi commented on pull request #7172: URL: https://github.com/apache/tvm/pull/7172#issuecomment-752381473 thanks @Laurawly This is an automated message from the Apache Git Service. To respond to the message, please log on

[tvm] branch main updated: [TOPI] Parallelize GPU NMS inner loop (#7172)

This is an automated email from the ASF dual-hosted git repository. masahi pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new 66e123f [TOPI] Parallelize GPU NMS inner loop (#7172)

[GitHub] [tvm] leowang1225 commented on pull request #7181: [Auto Scheduler][fix] Add dense strategy for mali

leowang1225 commented on pull request #7181: URL: https://github.com/apache/tvm/pull/7181#issuecomment-752374930 > Signed-off-by: leowang1225 [810916...@qq.com](mailto:810916...@qq.com) > > Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribu

[GitHub] [tvm] leowang1225 opened a new pull request #7181: [Auto Scheduler][fix] Add dense strategy for mali

leowang1225 opened a new pull request #7181: URL: https://github.com/apache/tvm/pull/7181 Signed-off-by: leowang1225 <810916...@qq.com> Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribute/ for useful information and tips. After the pull