[GitHub] [tvm] masahi commented on issue #8596: [RFC][Tracking Issue] Pipeline Executor For Compute graph pipeline

masahi commented on issue #8596: URL: https://github.com/apache/tvm/issues/8596#issuecomment-1039909509 At one point can we expect a non-trivial demo? -- 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

[GitHub] [tvm] huajsj commented on pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

huajsj commented on pull request #10234: URL: https://github.com/apache/tvm/pull/10234#issuecomment-1039901920 > Thanks @huajsj. This is interesting and tricky code, I'll try review carefully. cc @comaniac > > Where does this PR sit in the feature road map? Thanks @masahi ,

[GitHub] [tvm] masahi commented on a change in pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

masahi commented on a change in pull request #10234: URL: https://github.com/apache/tvm/pull/10234#discussion_r806466392 ## File path: python/tvm/contrib/pipeline_executor.py ## @@ -213,6 +209,16 @@ def get_output(self): """ return self._get_output() +

[GitHub] [tvm] masahi commented on a change in pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

masahi commented on a change in pull request #10234: URL: https://github.com/apache/tvm/pull/10234#discussion_r806466228 ## File path: python/tvm/contrib/pipeline_executor.py ## @@ -213,6 +209,16 @@ def get_output(self): """ return self._get_output() +

[GitHub] [tvm-rfcs] areusch commented on a change in pull request #46: Module Based Model Runtime for AOT

areusch commented on a change in pull request #46: URL: https://github.com/apache/tvm-rfcs/pull/46#discussion_r806465372 ## File path: rfcs/0046-module-based-model-runtime-for-aot.md ## @@ -0,0 +1,348 @@ +# Module-based Model Runtime Interface for AOT + +- Feature Name:

[GitHub] [tvm] masahi edited a comment on pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

masahi edited a comment on pull request #10234: URL: https://github.com/apache/tvm/pull/10234#issuecomment-1039884305 Thanks @huajsj. This is interesting and tricky code, I'll try review carefully. cc @comaniac Where does this PR sit in the feature road map? -- This is an

[GitHub] [tvm-rfcs] areusch commented on a change in pull request #46: Module Based Model Runtime for AOT

areusch commented on a change in pull request #46: URL: https://github.com/apache/tvm-rfcs/pull/46#discussion_r806465372 ## File path: rfcs/0046-module-based-model-runtime-for-aot.md ## @@ -0,0 +1,348 @@ +# Module-based Model Runtime Interface for AOT + +- Feature Name:

[GitHub] [tvm] masahi commented on pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

masahi commented on pull request #10234: URL: https://github.com/apache/tvm/pull/10234#issuecomment-1039884305 Thanks @huajsj. This is interesting and tricky code, I'll try review carefully. Where does this PR sit in the feature road map? -- This is an automated message from the

[GitHub] [tvm-rfcs] areusch commented on a change in pull request #46: Module Based Model Runtime for AOT

areusch commented on a change in pull request #46: URL: https://github.com/apache/tvm-rfcs/pull/46#discussion_r806455336 ## File path: rfcs/0046-module-based-model-runtime-for-aot.md ## @@ -0,0 +1,348 @@ +# Module-based Model Runtime Interface for AOT + +- Feature Name:

[tvm] branch main updated: [TOPI] VNNI support for int8 dense (#10230)

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 0009a30 [TOPI] VNNI support for int8 dense (#10230)

[tvm] branch main updated (b9fc7a8 -> a1d8f72)

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 b9fc7a8 [Tir]Adding detail error messages when MatchCopyPattern function is failed. (#10244) add a1d8f72 Fix a

[GitHub] [tvm] masahi merged pull request #10230: [TOPI] VNNI support for int8 dense

masahi merged pull request #10230: URL: https://github.com/apache/tvm/pull/10230 -- 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 specific comment. To unsubscribe, e-mail:

[tvm] branch main updated (e13110f -> b9fc7a8)

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 e13110f Support sub warp reduction for CUDA target. (#10207) add b9fc7a8 [Tir]Adding detail error messages when

[GitHub] [tvm] masahi merged pull request #10245: Fix a lint issue.

masahi merged pull request #10245: URL: https://github.com/apache/tvm/pull/10245 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] masahi merged pull request #10244: [Tir]Adding detail error messages when MatchCopyPattern function is failed.

masahi merged pull request #10244: URL: https://github.com/apache/tvm/pull/10244 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] masahi commented on pull request #10229: [UnitTest] Disable ptx mma tests on unsupported nvcc versions.

masahi commented on pull request #10229: URL: https://github.com/apache/tvm/pull/10229#issuecomment-1039822161 @Lunderberg Please take a look at the CI problem. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL

[tvm] branch main updated: Support sub warp reduction for CUDA target. (#10207)

This is an automated email from the ASF dual-hosted git repository. wuwei 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 e13110f Support sub warp reduction for CUDA target.

[GitHub] [tvm] vinx13 merged pull request #10207: Support sub warp reduction for CUDA target.

vinx13 merged pull request #10207: URL: https://github.com/apache/tvm/pull/10207 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] masahi commented on a change in pull request #10248: [Relay] Make DeviceAnalyzer a mixed mode visitor

masahi commented on a change in pull request #10248: URL: https://github.com/apache/tvm/pull/10248#discussion_r806415906 ## File path: src/relay/transforms/device_planner.cc ## @@ -22,9 +22,6 @@ * \brief Determines a unique \p VirtualDevice to hold the result of every Relay

[GitHub] [tvm] manupa-arm commented on a change in pull request #8509: [TIR] Tir constants integration into compilation pipeline

manupa-arm commented on a change in pull request #8509: URL: https://github.com/apache/tvm/pull/8509#discussion_r806407862 ## File path: include/tvm/ir/module.h ## @@ -349,6 +386,9 @@ class IRModuleNode : public Object { */ std::unordered_set import_set_; friend

[GitHub] [tvm] masahi edited a comment on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

masahi edited a comment on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039788394 Are you sure you can run your PT model on cuda via cudnn (use nvprof)? I'm getting `CUDNN_STATUS_BAD_PARAM` when trying to run your model with cudnn. As always, cuDNN error

[GitHub] [tvm] masahi commented on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

masahi commented on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039788394 Are you sure you can run your PT model on cuda via cudnn? I'm getting `CUDNN_STATUS_BAD_PARAM` when trying to run your model with cudnn. A WIP branch

[GitHub] [tvm] junrushao1994 commented on pull request #10207: Support sub warp reduction for CUDA target.

junrushao1994 commented on pull request #10207: URL: https://github.com/apache/tvm/pull/10207#issuecomment-1039779883 will leave the PR to @vinx13 and @masahi for a second look :-) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to

[tvm] branch main updated (be17697 -> de73b99)

This is an automated email from the ASF dual-hosted git repository. junrushao pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from be17697 clean up conv2d type rels (#10236) add de73b99 [Torch] Fix conv2d transpose with group (#10235) No new

[GitHub] [tvm] junrushao1994 merged pull request #10235: [Torch] Fix conv2d transpose with group

junrushao1994 merged pull request #10235: URL: https://github.com/apache/tvm/pull/10235 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] junrushao1994 closed issue #10223: [Bug] Conv2DTranspose with groups not working correctly

junrushao1994 closed issue #10223: URL: https://github.com/apache/tvm/issues/10223 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] junrushao1994 commented on pull request #10235: [Torch] Fix conv2d transpose with group

junrushao1994 commented on pull request #10235: URL: https://github.com/apache/tvm/pull/10235#issuecomment-1039759287 right. I noticed the same issue very recently. Thanks for fixing this!! -- This is an automated message from the Apache Git Service. To respond to the message, please log

[tvm] branch main updated (2a840a3 -> be17697)

This is an automated email from the ASF dual-hosted git repository. jroesch pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from 2a840a3 [Hexagon] Refactor Hexagon.cmake (#10227) add be17697 clean up conv2d type rels (#10236) No new

[GitHub] [tvm] jroesch merged pull request #10236: [Refactor] Clean up type relations that are declared as template for no reason

jroesch merged pull request #10236: URL: https://github.com/apache/tvm/pull/10236 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] vinx13 commented on a change in pull request #9727: [TE][TIR] Implement layout transformations, non-flat memory buffers

vinx13 commented on a change in pull request #9727: URL: https://github.com/apache/tvm/pull/9727#discussion_r805065309 ## File path: tests/python/unittest/test_tir_transform_instrument_bound_checkers.py ## @@ -94,7 +94,7 @@ def test_out_of_bounds_vectorize_llvm(nn, index_a,

[GitHub] [tvm] driazati opened a new pull request #10247: Update CI to Python 3.7 and Ubuntu 18

driazati opened a new pull request #10247: URL: https://github.com/apache/tvm/pull/10247 This updates the docker image build to use Python 3.7 and Ubuntu 18 as discussed in #9703. The update is mostly straightforward except that the `apt` boost isn't built with 3.7 so we must now build it

[GitHub] [tvm] driazati opened a new pull request #10246: [skip ci][ci] Use sccache in builds

driazati opened a new pull request #10246: URL: https://github.com/apache/tvm/pull/10246 This sets the builds for each platform to use [sccache](https://github.com/mozilla/sccache) as a build cache. For a fully cached rebuild, this reduces the time (in testing) from 30+ minutes to 1-2

[GitHub] [tvm] huajsj opened a new pull request #10245: Fix a lint issue.

huajsj opened a new pull request #10245: URL: https://github.com/apache/tvm/pull/10245 lint.sh complain for an addtional space line in 'utils.cc', just fix it. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the

[GitHub] [tvm] huajsj opened a new pull request #10244: [Tir]Adding detail error messages when MatchCopyPattern function is failed.

huajsj opened a new pull request #10244: URL: https://github.com/apache/tvm/pull/10244 There is an error message to show the body when 'MatchCopyPattern' is failed, but the error message not give the information why this function get failed. Adding the detail error information to help

[GitHub] [tvm] masahi commented on pull request #10230: [TOPI] VNNI support for int8 dense

masahi commented on pull request #10230: URL: https://github.com/apache/tvm/pull/10230#issuecomment-1039588965 Another perf result, this time on a desktop CPU `i5-11400 @ 2.60GHz`, 6 threads. TVM showing excellent performance! M|N|K|TVM|FBGEMM -- | -- | -- | --| -- |

[GitHub] [tvm] masahi commented on pull request #10239: Add a conversion of individual operations in FQ2I pass.

masahi commented on pull request #10239: URL: https://github.com/apache/tvm/pull/10239#issuecomment-1039572343 Please also show the reference result (accuracy without fq2i). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub

[GitHub] [tvm] masahi commented on pull request #10239: Add a conversion of individual operations in FQ2I pass.

masahi commented on pull request #10239: URL: https://github.com/apache/tvm/pull/10239#issuecomment-1039484466 Can you show some accuracy results on QAT models (BERT etc)? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and

[GitHub] [tvm] Tantalus13A98B5F commented on pull request #8605: [TOPI] [Relay] Sparse Conv2d Implementation for 3x3 kernels

Tantalus13A98B5F commented on pull request #8605: URL: https://github.com/apache/tvm/pull/8605#issuecomment-1039458148 Hi @mengbingrock Not sure how long have you been going, but `bsr_conv2d.convert2` is merely for graph & param transformation, and it assumes well-padded shapes (0 for

[GitHub] [tvm] srkreddy1238 opened a new pull request #10243: [BYOC-OpenCLML] OpenCLML integration with TVM.

srkreddy1238 opened a new pull request #10243: URL: https://github.com/apache/tvm/pull/10243 Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribute/ for useful information and tips. After the pull request is submitted, please request code

[GitHub] [tvm] huajsj commented on pull request #10234: [Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

huajsj commented on pull request #10234: URL: https://github.com/apache/tvm/pull/10234#issuecomment-1039411862 @comaniac , @masahi , please take a look. -- 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

[GitHub] [tvm] jacobbohlin commented on pull request #10242: [microNPU] Add MobileNetv2 test to network tests

jacobbohlin commented on pull request #10242: URL: https://github.com/apache/tvm/pull/10242#issuecomment-1039254125 @manupa-arm @mbaret @lhutton1 @ekalda @NicolaLancellotti @dchauhan-arm -- This is an automated message from the Apache Git Service. To respond to the message, please log

[GitHub] [tvm] jacobbohlin opened a new pull request #10242: [microNPU] Add MobileNetv2 test to network tests

jacobbohlin opened a new pull request #10242: URL: https://github.com/apache/tvm/pull/10242 This adds MobileNetv2 tflite testcase to the microNPU's network tests. Co-authored-by: Jacob Bohlin -- This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] [tvm] JCBrouwer commented on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

JCBrouwer commented on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039250272 Yes using CUDNN is fine with me, that would be great :) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the

[GitHub] [tvm] masahi edited a comment on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

masahi edited a comment on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039219766 Yeah, cuda backend doesnt support groups. We should fix that but I am not looking to do it. A PR welcome. You can try the cpu backend to verify the result. If you are ok

[GitHub] [tvm] masahi commented on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

masahi commented on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039219766 Yeah, cuda backend doesnt support groups. You can try the cpu backend to verify the result. If you are ok with using cudnn, I can quickly enable groups support for cudnn conv

[GitHub] [tvm] spanijel opened a new pull request #10241: [ETHOSN] Implement tanh operator

spanijel opened a new pull request #10241: URL: https://github.com/apache/tvm/pull/10241 Adding compiler support for TANH operator, which is based on an underlying pattern matching scheme. One negative test is included as well. cc @leandron @Leo-arm @mbaret @u99127 for

[GitHub] [tvm] tqchen commented on a change in pull request #9748: Overload get() function for `Optional` type.

tqchen commented on a change in pull request #9748: URL: https://github.com/apache/tvm/pull/9748#discussion_r805954346 ## File path: include/tvm/runtime/container/optional.h ## @@ -93,6 +93,11 @@ class Optional : public ObjectRef { ICHECK(data_ != nullptr); return

[GitHub] [tvm] pfk-beta opened a new issue #10240: [Bug] Some tuning tasks causes device reboot / RPC server termination

pfk-beta opened a new issue #10240: URL: https://github.com/apache/tvm/issues/10240 Hello, I'm using heavily RPC tracker and server with TVM. I encounter many times issue, when tuning task cause device reboot or rpc_android_app restart. After that, whole tuning process need to be

[tvm] branch main updated (ce45f26 -> 2a840a3)

This is an automated email from the ASF dual-hosted git repository. kparzysz pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from ce45f26 add a simplify rule for floordiv(x*8+7, 16) => floordiv(x, 2) (#10232) add 2a840a3 [Hexagon] Refactor

[tvm] branch main updated (ac9bf1f -> ce45f26)

This is an automated email from the ASF dual-hosted git repository. kparzysz pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from ac9bf1f [TVMC] Add configuration `tir.add_lower_pass` to option `--pass-config` (#9817) add ce45f26 add a

[GitHub] [tvm] pfk-beta closed issue #8732: Build Docker demo_android failed

pfk-beta closed issue #8732: URL: https://github.com/apache/tvm/issues/8732 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] pfk-beta commented on issue #8732: Build Docker demo_android failed

pfk-beta commented on issue #8732: URL: https://github.com/apache/tvm/issues/8732#issuecomment-1039155944 I think that I was using old version of repository. In second try I have working OpelCL runtime with RPC server/tracker and android app, so I'm closing issue. -- This is an

[GitHub] [tvm] kparzysz-quic merged pull request #10227: [Hexagon] Refactor Hexagon.cmake

kparzysz-quic merged pull request #10227: URL: https://github.com/apache/tvm/pull/10227 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] pfk-beta closed issue #10202: [Bug] Enabling USE_CPP_RPC and using cross compiler requires HEXAGON_SDK

pfk-beta closed issue #10202: URL: https://github.com/apache/tvm/issues/10202 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] pfk-beta commented on issue #10202: [Bug] Enabling USE_CPP_RPC and using cross compiler requires HEXAGON_SDK

pfk-beta commented on issue #10202: URL: https://github.com/apache/tvm/issues/10202#issuecomment-1039152752 Issue should be solved by PR https://github.com/apache/tvm/pull/10227 . I'm closing issue as the issue author:) -- This is an automated message from the Apache Git Service. To

[GitHub] [tvm] kparzysz-quic merged pull request #10232: [Arith] Simplify floordiv(x*8+7, 16) to floordiv(x, 2)

kparzysz-quic merged pull request #10232: URL: https://github.com/apache/tvm/pull/10232 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] mengbingrock edited a comment on pull request #8605: [TOPI] [Relay] Sparse Conv2d Implementation for 3x3 kernels

mengbingrock edited a comment on pull request #8605: URL: https://github.com/apache/tvm/pull/8605#issuecomment-1039109093 Hi @Tantalus13A98B5F Your work is very helpful! I'm evaluating the performance of sparse kernels. I noticed that PR currently only supports padding = 1 case if

[tvm] branch main updated: [TVMC] Add configuration `tir.add_lower_pass` to option `--pass-config` (#9817)

This is an automated email from the ASF dual-hosted git repository. leandron 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 ac9bf1f [TVMC] Add configuration

[GitHub] [tvm] leandron commented on pull request #9817: [TVMC] Add configuration `tir.add_lower_pass` to option `--pass-config`

leandron commented on pull request #9817: URL: https://github.com/apache/tvm/pull/9817#issuecomment-1039135305 Thanks @leeexyz, this is merged now. -- 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

[GitHub] [tvm] leandron merged pull request #9817: [TVMC] Add configuration `tir.add_lower_pass` to option `--pass-config`

leandron merged pull request #9817: URL: https://github.com/apache/tvm/pull/9817 -- 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 specific comment. To unsubscribe, e-mail:

[GitHub] [tvm] mengbingrock commented on pull request #8605: [TOPI] [Relay] Sparse Conv2d Implementation for 3x3 kernels

mengbingrock commented on pull request #8605: URL: https://github.com/apache/tvm/pull/8605#issuecomment-1039109093 Hi @Tantalus13A98B5F Your work is very helpful! I'm evaluating the performance of sparse kernels. I noticed that PR currently only supports padding = 1 case if I'm

[GitHub] [tvm] JCBrouwer commented on issue #10223: [Bug] Conv2DTranspose with groups not working correctly

JCBrouwer commented on issue #10223: URL: https://github.com/apache/tvm/issues/10223#issuecomment-1039101873 Great, thanks for the quick response! I can confirm that it's converting from PyTorch correctly for my more complex model on your branch. Now I'm getting an

[GitHub] [tvm] leandron commented on issue #10238: Remove version restriction from Pillow in TVM codebase

leandron commented on issue #10238: URL: https://github.com/apache/tvm/issues/10238#issuecomment-1038923382 Me and @grant-arm did some investigation in this and we found out that the fixed/safe versions of Pillow don't release for Python 3.6 anymore. So this is one more reason for

[GitHub] [tvm] manupa-arm commented on issue #10238: Remove version restriction from Pillow in TVM codebase

manupa-arm commented on issue #10238: URL: https://github.com/apache/tvm/issues/10238#issuecomment-1038884564 cc : @grant-arm -- 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 specific

[tvm] branch main updated (bb60ee9 -> 55849e6)

This is an automated email from the ASF dual-hosted git repository. mousius pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from bb60ee9 [PyTorch] add var_mean support (#10233) add 55849e6 [USMP] adding support for U2 and U3 usecases (#10193)

[GitHub] [tvm] Mousius commented on pull request #10193: [USMP] adding support for U2 and U3 usecases

Mousius commented on pull request #10193: URL: https://github.com/apache/tvm/pull/10193#issuecomment-1038879556 Thanks @manupa-arm :smile_cat: -- 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

[GitHub] [tvm] Mousius merged pull request #10193: [USMP] adding support for U2 and U3 usecases

Mousius merged pull request #10193: URL: https://github.com/apache/tvm/pull/10193 -- 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 specific comment. To unsubscribe, e-mail: