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pytorch/pytorch: PyTorch 2.14.0 Release

GitHub AI software releases · article · Sep 2, 2026 · UTC

# PyTorch 2.14.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performance](#performance) - [Documentation](#documentation) - [Security](#security) - [Developers](#developers) # Highlights NVGEMM brings CuTeDSL-generated CUTLASS kernels to Inductor, with epilogue fusion, scaled and NVFP4 GEMM, and grouped-reduction epilogues autotuned alongside Triton and ATen torch.switch generalizes torch.cond to multi-way branching, and torch.while_loop can now be captured in a CUDA graph Declarative dynamic shapes via @dynamic_spec , shared across torch.compile , torch.export and make_fx Experimental torch.compile support for complex-valued tensors : Opt-in support decomposes supported complex operations into real and imaginary computations, enabling compiler backends to optimize more complex-number workloads. A

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