PyTorch 2.6.0 Release
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* Highlights * Tracked Regressions * Backwards Incompatible Change * Deprecations * New Features * Improvements * Bug fixes * Performance * Documentation * Developers ## **Highlights** We are excited to announce the release of PyTorch® 2.6 ([release notes](https://github.com/pytorch/pytorch/releases/tag/v2.6.0))! This release features multiple improvements for PT2: `torch.compile` can now be used with Python 3.13; new performance-related knob `torch.compiler.set_stance`; several AOTInductor enhancements. Besides the PT2 improvements, another highlight is FP16 support on X86 CPUs. NOTE: Starting with this release we are not going to publish on Conda, please see [[Announcement] Deprecating PyTorch’s official Anaconda channel](https://github.com/pytorch/pytorch/issues/138506) for the details. For this release the experimental Linux binaries shipped with CUDA 12.6.3 (as well as Linux Aarch64, Linux ROCm 6.2.4, and Linux XPU binaries) are built with CXX11_ABI=1 and are [using the Manylinux 2.28 build platform](https://dev-discuss.pytorch.org/t/pytorch-linux-wheels-switching-to-new-wheel-build-platform-manylinux-2-28-on-november-12-2024/2581). If you build PyTorch extensions with cust...
Read the original at the source: https://github.com/pytorch/pytorch/releases/tag/v2.6.0
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