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filter param with no grad in print_nan_gradients #579

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Dec 4, 2019
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2 changes: 1 addition & 1 deletion pytorch_lightning/trainer/training_tricks_mixin.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ def clip_gradients(self):
def print_nan_gradients(self):
model = self.get_model()
for param in model.parameters():
if torch.isnan(param.grad.float()).any():
if (param.grad is not None) and torch.isnan(param.grad.float()).any():
logging.info(param, param.grad)

def configure_accumulated_gradients(self, accumulate_grad_batches):
Expand Down