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Fix params_with_grad in FSDP when the model has frozen parameters #1167

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Fix params_with_grad in FSDP when the model has frozen parameters #1167

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2 changes: 1 addition & 1 deletion fairscale/nn/data_parallel/fully_sharded_data_parallel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -688,7 +688,7 @@ def _cast_buffers(
@property
def params_with_grad(self) -> List[Parameter]:
"""[p for p in self.parameters() if p.grad is not None]"""
return [p for p in self.parameters() if (p.grad is not None or p.main_grad is not None)]
return [p for p in self.parameters() if (p.requires_grad and (p.grad is not None or p.main_grad is not None))]

@torch.no_grad()
def clip_grad_norm_(
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