All technologies

ONNX

1 painsavg 8.0/10
compatibility 1

PyTorch hardware-specific backend bugs cause failures across MPS, CUDA, and ONNX

8

Multiple hardware-specific issues affect PyTorch across different backends: LayerNorm/BatchNorm fail to compile on Apple M4 MPS, Conv2d is slower on macOS without MKLDNN, CUDA CI tests exhibit memory corruption (SIGIOT), and ONNX exports with dynamic inputs regressed between versions. These issues require constant per-platform debugging.

compatibilityPyTorchCUDAONNX+1