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trunk/5b53948a16448d3b4f8549ce33f4f3882cb41379: [pytorch] Fix hipify import for non-HIP CUDA builds (#174706)

This small fix could unlock major performance gains for AMD users...

Deep Dive

PyTorch developers have merged a critical fix (commit 5b53948) addressing a hipify import error for non-HIP CUDA builds. The patch, approved by three senior engineers, resolves a compatibility issue that prevented proper translation of CUDA code for AMD's ROCm platform. This technical correction ensures PyTorch can correctly 'hipify' code—converting NVIDIA CUDA calls to AMD HIP equivalents—on systems not using HIP-specific builds, smoothing the development workflow for cross-platform GPU support.

Why It Matters

It removes a key barrier for AMD GPU users, making PyTorch more accessible and performant on non-NVIDIA hardware.