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PyTorch 2.9 introduces stable libtorch ABI for C++/CUDA extensions, symmetric memory for multi-GPU kernel programming, and flexible graph break handling in torch.compile. The release expands hardware support with ROCm, XPU, and CUDA 13 wheel variants, enables FlexAttention on Intel GPUs, and adds flash decoding optimization for x86 CPUs. Additional improvements include Arm platform optimizations with better torch.compile performance and expanded Linux aarch64 binary wheel builds across all CUDA versions.

PyTorch 2.9 Release Blog – PyTorch