[TCP] Merge main into mlir-tcp #2117
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This reverts commit eab1930. The PyTorch version does not yet exist for MacOS.
This commit updates the `llvm-project` and `mlir-hlo` submodules to commits: - llvm-project: 6875424135312aeb26ab8e0358ba7f9e6e80e741 - mlir-hlo: 92fd33a4bacbeb93ab276a49f38bdebd5f9d7487 The calls to `mlir::MlirOptMain` are updated to no longer specify the flag `preloadDialectInContext` that has been removed (see: https://reviews.llvm.org/D149039).
* add to.dtype_layout canonicalize patterns * update comment --------- Co-authored-by: zhekun.zhang <zhekun.zhang@bytedance.com>
Co-authored-by: zhekun.zhang <zhekun.zhang@bytedance.com>
This commit adds the decomposition for the aten.topk op. Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
* fix whereself convert rule * use int to test promotion * add dynamo failing test --------- Co-authored-by: zhekun.zhang <zhekun.zhang@bytedance.com>
* [Stablehlo] fix reduce max init_value with -inf * update
Co-authored-by: AmosLewis <Amos_Lewsi@foxmail.com>
LLVM: 26ee8947702d79ce2cab8e577f713685a5ca4a55 MHLO: 4805d8498dfb81566076f56f52273b426c1cc5bf Per: llvm#1178 (comment)
Currently, we run just the Linux in-tree tests when the RollPyTorch workflow runs, but this is insufficient since WHL files for macOS or Windows are sometimes not uploaded by PyTorch, causing the RollPyTorch action to pass but all subsequent torch-mlir CI tests to fail because of the broken build. The easiest way to validate the RollPyTorch action on all platforms is to run the standard set of tests that we run for each submitted PR, so this patch makes the RollPyTorch action submit a PR instead of committing the changes to the main branch directly. The PR is assigned to a handful of folks for review, although this can be changed in the future.
Add support for lowering torch.aten.cat to tosa.concat * add support for aten cat to tosa --------- Co-authored-by: yifei <y.zhou@xilinx.com> Co-authored-by: Lisa Liu <lingl@xilinx.com>
- Add ODS for native_group_norm/backward. - Add shape-inference for native_group_norm/backward . Signed-off-by: rahul shrivastava <rahul.shrivastava@cerebras.net>
Signed-off-by: rahul shrivastava <rahul.shrivastava@cerebras.net>
Add complex types support with basic complex types. Add aten.imag and aten.real op lowering via linalg_backend.
The right approach would be to create our own !torch.complex type and use that during import than have a pass that converts to the MLIR complex types.
added 2 commits
May 11, 2023 17:09
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As titled.