Warning on float64 training with PyTorch 2.1 #306
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PyTorch 2.1 has a known bug preventing training in float64: https://discuss.pytorch.org/t/tensors-of-the-same-index-must-be-on-the-same-device-and-the-same-dtype-except-step-tensors-that-can-be-cpu-and-float32-notwithstanding/190335
There are three workarounds:
foreach = Falsein the optimizer but this downgrades the computational performance.torch.set_default_dtype(torch.float64).As PyTorch seems to fix that in the next release, I recommend just making the first point. If it is not fixed in 2.2, then we should try the last point.