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Currently, torch traces are used, as torch offers easy access to CUDA/MPS/CPU/ROCm backends, however, there are two main disadvantages:
It requires a large dependency in torch
It may limit use on windows AMD devices.
ONNX is a natural alternative format, and is commonly used to distribute weights. However, it has limited support on mac silicone (and AMD). I will use this thread to brainstorm possibilities, and welcome any input.
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Currently, torch traces are used, as torch offers easy access to CUDA/MPS/CPU/ROCm backends, however, there are two main disadvantages:
ONNX is a natural alternative format, and is commonly used to distribute weights. However, it has limited support on mac silicone (and AMD). I will use this thread to brainstorm possibilities, and welcome any input.
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