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@masahi masahi commented Apr 12, 2022

@mbrookhart @AndrewZhaoLuo @anwang2009

I think we should enable this pass by default. The only concern is that it would break existing tuning logs.

@masahi masahi merged commit c7cca39 into apache:main Apr 13, 2022
AndrewZhaoLuo added a commit to AndrewZhaoLuo/tvm that referenced this pull request Apr 15, 2022
* main: (527 commits)
  [hexagon] 'add_hvx' test to explore HVX usage. (apache#10604)
  [COMMUNITY] @yzh119 -> Reviewer (apache#10993)
  [Metaschedule] Make custom schedule_rule registration optional (apache#10975)
  [ONNX] Add imports for BERT contrib operators (apache#10949)
  sort axes (apache#10985)
  [Hexagon] Remove HexagonBuffer external constructor and support (apache#10978)
  [CI] Update GPU image (apache#10992)
  [Runtime][Vulkan] Add RGP support to TVM for vulkan device (apache#10953)
  [FIX] resolve int64/32 for AttrStmtNode (apache#10983)
  [TVMC] Allow output module name to be passed as a command line argument (apache#10962)
  [ONNX] Add MatMulInteger importer (apache#10450)
  [COMMUNITY] @guberti -> Reviewer (apache#10976)
  Support `qnn.conv2d` in FoldExplicitPading (apache#10982)
  change Hexagon docker version (apache#10981)
  remove exception handling of autotvm xgboost extract functions (apache#10948)
  [CUDNN] Add partitioning support for conv2d and log_softmax (apache#10961)
  [Hexagon][LLVM] Enable/test tensorized Hexagon DMA on 2d transformed layout (apache#10905)
  [Hexagon] Move aot/graph_executor interactions into launcher (apache#10907)
  [HEXAGON] Split huge 1D DMA Transfers into smaller transfers with legal sizes. (apache#10971)
  [CI][DOCKER] Add pytest-lazy-fixture to images (apache#10970)
  ...
Lucien0 pushed a commit to Lucien0/tvm that referenced this pull request Apr 19, 2022
* wip support pad + qnn.conv2d folding

* works

* Added test but structural equality is failing

* fixed structural equality test using map_free_vars=True
altanh pushed a commit to altanh/tvm that referenced this pull request Apr 28, 2022
* wip support pad + qnn.conv2d folding

* works

* Added test but structural equality is failing

* fixed structural equality test using map_free_vars=True
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2 participants