Update usage of PyTorch's custom op API #2193
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Changes look good - thanks for this update. Added a few comments/questions. Additionally, please run the Python linting on this PR. You can do so by running the following from the root directory of the repository:
pip install -r requirements-dev.txt
pre-commit installSubsequent commits will be automatically linted.
This PR is currently blocked pending a Torch nightly upgrade on the repository.
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Hi @zou3519 - we recently updated the stack to use the latest nightly distribution of PyTorch. Could you run linting and rebase to the latest main? Thank you |
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Will do! |
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Fixes #2328 |
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| @custom_op( | ||
| qualname="tensorrt::einsum", | ||
| manual_schema="(str equation, Tensor[] tensors) -> Tensor", | ||
| library.custom_op( |
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Remove one space above this call; add one more space below line 15
| manual_schema="(Tensor x, int[1] kernel_size, int[1] stride, int[1] padding, int[1] dilation, bool ceil_mode) -> Tensor", | ||
| library.custom_op( | ||
| "tensorrt::maxpool1d", | ||
| "(Tensor x, int[1] kernel_size, int[1] stride, int[1] padding, int[1] dilation, bool ceil_mode) -> Tensor" |
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Add comma at end of this line; add another space below line 26
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Thanks; I'm not actually sure how to run the linter (do I need to undo the commit and then redo it? for the pre-commit hook to pick it up?) |
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Yes, you would need to somehow change those files for the pre-commit hook to track it. Any small change to the file (like an additional newline at the end) will cause the whole file to lint, which also works. |
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Perfect, that did the trick (newline at the end) |
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Great! I think |
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Hi, I maintain the custom ops story in PyTorch. This PR updates the the usage of PyTorch's private custom op API to a newer API. This API is still private but closer to what we want it to be. Test Plan: - wait for CI
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@gs-olive I think the linting passed, but I'm not sure the test failures are significant. Thoughts? |
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@zou3519 - I reran the tests and will merge once they pass - I don't believe the failures are related to the content of this PR |
Description
Hi, I maintain the custom ops story in PyTorch. This PR updates the the usage of PyTorch's private custom op API to a newer API. This API is still private but closer to what we want it to be.
Type of change
API migration.