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Support bfloat16 for autograd #499

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Jul 28, 2022
Merged

Support bfloat16 for autograd #499

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4 changes: 1 addition & 3 deletions hivemind/moe/server/module_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -118,9 +118,7 @@ def backward(self, *inputs: torch.Tensor) -> Tuple[torch.Tensor, ...]:

with torch.enable_grad():
args = [
tensor.detach().requires_grad_(True)
if tensor.dtype in (torch.half, torch.float, torch.double)
else tensor.detach()
tensor.detach().requires_grad_(True) if tensor.is_floating_point() else tensor.detach()
for tensor in args
]
kwargs = {
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