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Fix assertions in slice_scatter decomposition #3420

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merged 1 commit into from
Mar 18, 2025

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kkimmk
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@kkimmk kkimmk commented Feb 27, 2025

Description

Originally, the assertions only allowed int types for start, end, and step. However, end can be a SymInt when set to dim_size, which only causes issues latter with range(start, end, step). This PR allows returning src_tensor when the condition is met with a SymInt typed end.

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@github-actions github-actions bot added component: lowering Issues re: The lowering / preprocessing passes component: api [Python] Issues re: Python API component: dynamo Issues relating to the `torch.compile` or `torch._dynamo.export` paths labels Feb 27, 2025
@peri044 peri044 requested a review from apbose February 27, 2025 08:06
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@github-actions github-actions bot requested a review from peri044 February 27, 2025 08:11
@kkimmk kkimmk force-pushed the slice_scatter_assertions branch from d3454dd to 0f57b0f Compare February 27, 2025 08:20
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apbose commented Mar 5, 2025

Ok got it. Looks like it is for dynamic shape case.

As such yes, the decomposition at present is not meant for dynamic shaped input. This code modification covers a very specific dynamic use case. But this change should work and should not affect the rest of the cases. So LGTM. But we need to expand these to support dynamic cases.

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@apbose what is the AI here? Should we merge the PR and work on broader cases later or is the expectation that this PR would have these changes?

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apbose commented Mar 18, 2025

We can merge this and work on the broader cases later.

@apbose apbose merged commit 2e302a9 into pytorch:main Mar 18, 2025
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4 participants