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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Request: PyTorch 2.8+ compatibility patches","articleBody":"## Summary\n\nWe're using GraalPy to build PyTorch from source for a project that traces PyTorch models using `torch.fx.symbolic_trace` and converts them to StableHLO MLIR. The current patches support up to PyTorch 2.7.0, but PyTorch mainline is now at 2.11+.\n\n## Request\n\nPlease add compatibility patches for PyTorch 2.8, 2.9, 2.10, and 2.11 (or at least the latest stable release).\n\n## Context\n\n- **Use case**: We embed GraalPy in a native-image to trace PyTorch models and export them to StableHLO for GPU kernel generation\n- **Current setup**: GraalPy 25.0.1 + PyTorch 2.7.0 (working great!)\n- **Tracing APIs used**: `torch.fx.symbolic_trace`, `torch.jit.trace`, `torch.jit.script`\n\n## Current patch coverage\n\nThe `graalpython/lib-graalpython/patches/` directory contains:\n- `torch-1.13.1.patch`\n- `torch-2.2.1.patch`\n- `torch-2.4.1.patch`\n- `torch-2.7.0.patch`\n\n## Why this matters\n\nPyTorch 2.8+ includes improvements to the FX tracing infrastructure and better support for modern model architectures. Staying current with PyTorch versions helps us support newer models and take advantage of tracing improvements.\n\n## Workaround\n\nWe've bundled the `torch-2.7.0.patch` in our repo and it works well. We're happy to help test patches for newer versions if that would be useful.\n\nThank you for the excellent work on GraalPy - the PyTorch integration is impressive!","author":{"url":"https://github.com/morrismeyer","@type":"Person","name":"morrismeyer"},"datePublished":"2026-01-10T18:19:42.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/588/graalpython/issues/588"}