[TORCH][MLIR] Added _sdpa_flash_attention op #4417
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Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
2. Fixed op signature 3. Added DecomposeComplexOps template for (flash_attn, flash_attn_for_cpu) -> sdpa rewrite. 4. Lit test to check correct decomposition. Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
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Pull request overview
This PR adds support for the _scaled_dot_product_flash_attention and _scaled_dot_product_flash_attention_for_cpu operations in the Torch-MLIR dialect. These operations are decomposed into the existing scaled_dot_product_attention operation.
Key Changes:
- Added decomposition patterns to convert flash attention ops to standard scaled dot product attention
- Registered the new operations in the ODS generator
- Added comprehensive test coverage for both new operations
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp | Implements decomposition pattern template for both flash attention operations |
| include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td | Defines the two new flash attention operation signatures and parsing/printing logic |
| projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py | Registers the new operations with their type signatures |
| test/Dialect/Torch/decompose-complex-ops.mlir | Adds test cases verifying decomposition behavior for both operations |
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Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
Signed-off-by: Keshav Vinayak Jha <[email protected]>
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Following the discussion at iree-org/iree-turbine#1224