[Torch Dialect] add support for adaptive_avgpool_1d #2342
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@ramiro050 Could you please help me review this PR? Thank you so much! |
ramiro050
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Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com> [Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op (llvm#2340) [Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op and configure crashing e2e sets for stablehlo backend. update PyTorch version to 2.1.0.dev20230729 (llvm#2354) - torch version: 2.1.0.dev20230729 - torch commit hash: b638df0afb83572724032c824c64e481bb4499a0 - torchvision version: 0.16.0.dev20230729 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> update PyTorch version to 2.1.0.dev20230730 (llvm#2356) - torch version: 2.1.0.dev20230730 - torch commit hash: 0ff243ff350268cc98fe03fa6364375ee2824742 - torchvision version: 0.16.0.dev20230730 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> update PyTorch version to 2.1.0.dev20230731 (llvm#2359) - torch version: 2.1.0.dev20230731 - torch commit hash: 6298ac688f8caafe30d71ff2ea2e20fbb32065c7 - torchvision version: 0.16.0.dev20230731 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> LTC->MLIR Debug Info support (llvm#1922) * LTC->MLIR Debug Info support * SW-95317 Propagate Lazy->Jit->MLIR scope name. * Enhance location information based on op names Currently, the location information attached to the ops just considers the filename, line number and column number. Attaching operation name would help identify the type of computation by just looking at the profile of execution. * Update locations logic; updated debug-info.py test * Use {scope}/{op_name} format to track names by default --------- Co-authored-by: Gleb Kazantaev <gleb.kazantaev@cerebras.net> Co-authored-by: Mark Browning <mark@cerebras.net> Co-authored-by: Vimal Patel <vimal@polymagelabs.com> build: update llvm tag to 4189584 Summary of changes: - Update tags llvm: 4189584 mhlo: 4726d31f7025da66de0dea709bd56c462edb83c2 Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com> update PyTorch version to 2.1.0.dev20230802 (llvm#2366) - torch version: 2.1.0.dev20230802 - torch commit hash: c89b16917755c2abbef7b6420e340baf9ae8089e - torchvision version: 0.16.0.dev20230802 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> Change Python version from 3.10 to 3.11 in installation instructions (llvm#2370) Add CITATION file (llvm#2371) Add packaging as an install dependency (llvm#2369) Needed by `torch_mlir._version`. Resolves llvm#2368. [Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op (llvm#2358) * [Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op update PyTorch version to 2.1.0.dev20230803 (llvm#2372) - torch version: 2.1.0.dev20230803 - torch commit hash: f89c73be3a3e8274d025ac46a33a780853841c9e - torchvision version: 0.16.0.dev20230803 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> Prevent failed stable CI job from cancelling nightly jobs (llvm#2373) The CI jobs that use stable PyTorch are currently not required to pass in order for a patch to get merged in `main`. This commit makes sure that if a CI job for stable PyTorch fails, it does not cancel the other required jobs. [Torch Dialect] emit aten.tile op and decompose it into aten.repeat (llvm#2355) update update xfail sets update xfail_sets update fix xfail_sets update: update update: update parent 22e88d5 author jianzhe.xiao <jianzhe.xiao@bytedance.com> 1691114110 +0800 committer jianzhe.xiao <jianzhe.xiao@bytedance.com> 1691114119 +0800 [Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op (llvm#2340) [Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op and configure crashing e2e sets for stablehlo backend. update PyTorch version to 2.1.0.dev20230729 (llvm#2354) - torch version: 2.1.0.dev20230729 - torch commit hash: b638df0afb83572724032c824c64e481bb4499a0 - torchvision version: 0.16.0.dev20230729 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> update PyTorch version to 2.1.0.dev20230730 (llvm#2356) - torch version: 2.1.0.dev20230730 - torch commit hash: 0ff243ff350268cc98fe03fa6364375ee2824742 - torchvision version: 0.16.0.dev20230730 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> update PyTorch version to 2.1.0.dev20230731 (llvm#2359) - torch version: 2.1.0.dev20230731 - torch commit hash: 6298ac688f8caafe30d71ff2ea2e20fbb32065c7 - torchvision version: 0.16.0.dev20230731 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> LTC->MLIR Debug Info support (llvm#1922) * LTC->MLIR Debug Info support * SW-95317 Propagate Lazy->Jit->MLIR scope name. * Enhance location information based on op names Currently, the location information attached to the ops just considers the filename, line number and column number. Attaching operation name would help identify the type of computation by just looking at the profile of execution. * Update locations logic; updated debug-info.py test * Use {scope}/{op_name} format to track names by default --------- Co-authored-by: Gleb Kazantaev <gleb.kazantaev@cerebras.net> Co-authored-by: Mark Browning <mark@cerebras.net> Co-authored-by: Vimal Patel <vimal@polymagelabs.com> build: update llvm tag to 4189584 Summary of changes: - Update tags llvm: 4189584 mhlo: 4726d31f7025da66de0dea709bd56c462edb83c2 Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com> update PyTorch version to 2.1.0.dev20230802 (llvm#2366) - torch version: 2.1.0.dev20230802 - torch commit hash: c89b16917755c2abbef7b6420e340baf9ae8089e - torchvision version: 0.16.0.dev20230802 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> Change Python version from 3.10 to 3.11 in installation instructions (llvm#2370) Add CITATION file (llvm#2371) Add packaging as an install dependency (llvm#2369) Needed by `torch_mlir._version`. Resolves llvm#2368. [Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op (llvm#2358) * [Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op update PyTorch version to 2.1.0.dev20230803 (llvm#2372) - torch version: 2.1.0.dev20230803 - torch commit hash: f89c73be3a3e8274d025ac46a33a780853841c9e - torchvision version: 0.16.0.dev20230803 Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com> Prevent failed stable CI job from cancelling nightly jobs (llvm#2373) The CI jobs that use stable PyTorch are currently not required to pass in order for a patch to get merged in `main`. This commit makes sure that if a CI job for stable PyTorch fails, it does not cancel the other required jobs. [Torch Dialect] emit aten.tile op and decompose it into aten.repeat (llvm#2355) update update xfail sets update xfail_sets update fix xfail_sets update: update update: add support for adaptive_pool_id update xfail sets update xfail_sets update fix xfail_sets update: update:
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@ashay Cloud you please help fix the ci failure (git checkout error)? |
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I think @powderluv might have to reset the runners to work around the error. |
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as tittle , add support to decompose from adaptive_avgpool_1d to avgpool_1d