forked from llvm/torch-mlir
-
Notifications
You must be signed in to change notification settings - Fork 0
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[pull] main from llvm:main #21
Closed
Closed
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
Add a command for installing the `python-dev` package --------- Co-authored-by: Jakub Kuderski <[email protected]>
This commit handles the one-input case for the "Max" ONNX operator. A new unit test has also been added.
Set PyTorch and TorchVision version to nightly release 2024-05-05. Signed-Off By: Vivek Khandelwal <[email protected]>
This commit handles the one-input case for the "Min" ONNX operator. A new unit test has also been added.
Co-authored-by: root <[email protected]>
Added nearest neighbor selection for onnx.Gridsampler
* Enables assume_strict_symbolic_shapes on fx_importer imported programs, indicating strict shape semantics. * Reworks the view->reshape lowering to take advantage of strict mode and do one of: * Collapse to 0D * Flatten/Unflatten when there is an inferred dim. * Fallback to tensor.reshape * Splits some test cases up and adds an attribute to control the old pattern (so new corners can be tested in strict mode in isolation). * Dynamic inferred mode needs upstream work to generalize expand_shape (so that case is suppressed here). * Deletes the assert from the existing tensor.reshape lowering if strict shape mode is enabled (since the condition it is dynamically asserting cannot happen).
#3328) …NORMAL * split lowering of uniform, randn, normal from Basic.cpp into Rng.cpp
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.
See Commits and Changes for more details.
Created by pull[bot]
Can you help keep this open source service alive? 💖 Please sponsor : )