Re: [PR] [Relax][PyTorch] Fix _slice and _expand for dynamic shapes in PyTorch ExportedProgram frontend [tvm]

2026-03-19 Thread via GitHub


tlopex merged PR #18918:
URL: https://github.com/apache/tvm/pull/18918


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Re: [PR] [Relax][PyTorch] Fix _slice and _expand for dynamic shapes in PyTorch ExportedProgram frontend [tvm]

2026-03-19 Thread via GitHub


mshr-h commented on PR #18918:
URL: https://github.com/apache/tvm/pull/18918#issuecomment-4095726669

   cc @tlopex @guan404ming 


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Re: [PR] [Relax][PyTorch] Fix _slice and _expand for dynamic shapes in PyTorch ExportedProgram frontend [tvm]

2026-03-19 Thread via GitHub


gemini-code-assist[bot] commented on PR #18918:
URL: https://github.com/apache/tvm/pull/18918#issuecomment-4095285098

   ## Summary of Changes
   
   Hello, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request 
and will post my feedback shortly. In the meantime, here's a summary to help 
you and other reviewers quickly get up to speed!
   
   This pull request enhances the PyTorch ExportedProgram frontend's ability to 
correctly handle dynamic shapes by improving the translation of `_slice` and 
`_expand` operations. These changes ensure that symbolic dimensions are 
properly resolved and that identity operations are optimized away, leading to 
more accurate and efficient Relax IR generation for dynamic PyTorch models.
   
   ### Highlights
   
   * **Dynamic Shape Handling in _slice**: Resolved `fx.Node` references in 
`start`, `end`, and `step` arguments for `_slice` operations, enabling correct 
interpretation of symbolic dimensions. Additionally, implemented logic to 
detect and elide identity slices where the symbolic end value matches the 
tensor's dimension, preventing redundant `strided_slice` operations.
   * **Dynamic Shape Handling in _expand**: Introduced a fallback mechanism in 
the `_expand` function to retrieve shape information from FX node metadata 
(`FakeTensor`) when `shape_of()` returns `None` for tensors with unknown 
shapes, improving robustness for dynamic shape scenarios.
   
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[PR] [Relax][PyTorch] Fix _slice and _expand for dynamic shapes in PyTorch ExportedProgram frontend [tvm]

2026-03-19 Thread via GitHub


mshr-h opened a new pull request, #18918:
URL: https://github.com/apache/tvm/pull/18918

   Fixes two issues when translating PyTorch models with dynamic shapes:
   
   1. **_slice**: Resolve `fx.Node` references in start/end/step arguments and 
detect identity slices where the symbolic end equals the tensor dimension 
(avoids redundant `strided_slice` ops).
   
   2. **_expand**: Fall back to FX node metadata when `shape_of()` returns 
`None` for tensors with unknown shapes.


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