ONNX release notes #17
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Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
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I will have another commit to move it to done. |
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| #### `onnxscript>=0.3.1` is required for the `dynamo=True` option ([#157017](https://github.com/pytorch/pytorch/pull/157017)) | ||
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| You must upgrade `onnxscript` to version 0.3.1 or higher for it to be compatible with PyTorch 2.8. |
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Should we specify the reason?
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I think it's fine? We have a new api in this version that pytorch uses
titaiwangms
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cc @justinchuby @xadupre for final review. |
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@jbschlosser could you grant write access to me and @titaiwangms ? |
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Jul 8, 2025
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sure thing, one sec |
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@titaiwangms @justinchuby I just added you to the repo; you should have received an invite email |
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Looks like the file was directly merged to done. @jbschlosser let us know if there are any changes you would like us to make |
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| The default will be `dynamo=True` starting from PyTorch 2.9. You are encouraged to migrate to use the `dynamo=True` option in `torch.onnx.export`. This flag makes `torch.export.export` the default export path, replacing `TorchScript`, as `TorchScript` is nearing end-of-life" | ||
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| To maintain the old behavior, set `dynamo=True`. You are encouraged to also experiment with the `fallback=True` option that will make the exporter fall back to the `dynamo=False` path if there are errors. |
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Jul 9, 2025
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| #### Support for symbolic operators in the `dynamo=True` export path ([#148905](https://github.com/pytorch/pytorch/pull/148905), [#149678](https://github.com/pytorch/pytorch/pull/149678), [#150038](https://github.com/pytorch/pytorch/pull/150038)) | ||
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| Two operators `torch.onnx.ops.symbolic` and `torch.onnx.ops.symbolic_multi_out` are defined to allow you to create symbolic ONNX operators directly in your PyTorch models. You can use them in a forward function: |
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Jul 9, 2025
* dataloader release notes updated * address comments
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Signed-off-by: Justin Chu justinchuby@users.noreply.github.com
cc @titaiwangms @xadupre