Add support for multiple dynamic reassociation dims for unflatten.int #3504
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
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Outdated suggestions cannot be applied.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.
Addresses an issue with onnx.Gather lowering to linalg: nod-ai/SHARK-ModelDev#242
The builder for tensor.expand_shape, without an explicitly provided output shape, fails to infer an output shape in the case of multiple dynamic reassociation dims. I tried adding the output shape explicitly for tensor.expand_shape, but ran into compilation issues later on (see iree-org/iree#17760).
This PR adds support by lowering this op to tensor.reshape when multiple dynamic reassociation dims are provided.