PyTorch 2.10.0 Release Notes
- Highlights
- Backwards Incompatible Changes
- Deprecations
- New Features
- Improvements
- Bug fixes
- Performance
- Documentation
- Developers
- Security
Highlights
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Changelog
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Last updated about 2 months ago
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This release is meant to fix the following issues (regressions / silent correctness):
Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 (#166643) This release provides work around this issue. If you are impacted please install nvidia-cudnn package version 9.15+ from pypi. ([#166480](http...
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This release is meant to fix the following issues (regressions / silent correctness):
Fix Excessive cudagraph re-recording for HF LLM models (#152287) Fix torch.compile on some HuggingFace models (#151154) Fix crash due to Exception raised inside torch.autocast ([#152503](h...
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We are excited to announce the release of PyTorch® 2.6 (release notes)! This release features multiple improvements for PT2: torch.compile c...
This release is meant to fix the following regressions:
We are excited to announce the release of PyTorch® 2.5! This release features a new CuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or...
This release is meant to fix the following issues (regressions / silent correctness):