Enable import_symbolic_shape_expressions in the FxImporter. #179
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
* Adds an option to `aot.export(import_symbolic_shape_expressions=True)` to enable emission of torch-mlir symbolic shape constraints. This is currently set to False until IREE is ready to ingest these by default. Rough sequence of work in IREE proper: * Custom lowering of `torch.symbolic_int` and `torch.bind_symbolic_shape` ops to IREE util "assume" ops. Note that we are only planning to lower "terminal" bindings (basically function arguments and a couple of other such categories). * Canonicalizations to ensure that assume equalities are == 0 (versus the native form from torch where they assume a non zero equality). * Fusion will clone corresponding bindings on dependent dims into dispatch regions. * Existing linalg shape analysis extended and queryable by codegen. Signed-off-by: Stella Laurenzo <stellaraccident@gmail.com>
ef57f73 to
731ecda
Compare
rsuderman
approved these changes
Sep 30, 2024
stellaraccident
added a commit
that referenced
this pull request
Oct 13, 2024
* Adds an option to `aot.export(import_symbolic_shape_expressions=True)` to enable emission of torch-mlir symbolic shape constraints. This is currently set to False until IREE is ready to ingest these by default. Rough sequence of work in IREE proper: * Custom lowering of `torch.symbolic_int` and `torch.bind_symbolic_shape` ops to IREE util "assume" ops. Note that we are only planning to lower "terminal" bindings (basically function arguments and a couple of other such categories). * Canonicalizations to ensure that assume equalities are == 0 (versus the native form from torch where they assume a non zero equality). * Fusion will clone corresponding bindings on dependent dims into dispatch regions. * Existing linalg shape analysis extended and queryable by codegen. --------- Signed-off-by: Stella Laurenzo <stellaraccident@gmail.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
aot.export(import_symbolic_shape_expressions=True)to enable emission of torch-mlir symbolic shape constraints. This is currently set to False until IREE is ready to ingest these by default.Rough sequence of work in IREE proper:
torch.symbolic_intandtorch.bind_symbolic_shapeops to IREE util "assume" ops. Note that we are only planning to lower "terminal" bindings (basically function arguments and a couple of other such categories).