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added fix to type comparison to enable fused AdamW #569

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added fix to type comparison to enable fused AdamW #569

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2 changes: 1 addition & 1 deletion model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -279,7 +279,7 @@ def configure_optimizers(self, weight_decay, learning_rate, betas, device_type):
print(f"num non-decayed parameter tensors: {len(nodecay_params)}, with {num_nodecay_params:,} parameters")
# Create AdamW optimizer and use the fused version if it is available
fused_available = 'fused' in inspect.signature(torch.optim.AdamW).parameters
use_fused = fused_available and device_type == 'cuda'
use_fused = fused_available and str(device_type) == 'cuda'
extra_args = dict(fused=True) if use_fused else dict()
optimizer = torch.optim.AdamW(optim_groups, lr=learning_rate, betas=betas, **extra_args)
print(f"using fused AdamW: {use_fused}")
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