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numpy to use CPU when using CUDA

This commit is contained in:
PNRxA 2020-04-25 16:30:19 +10:00
parent 95385c8797
commit 61a1d59ac5
1 changed files with 1 additions and 1 deletions
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2
utils/generic_utils.py
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@ -157,7 +157,7 @@ def check_update(model, grad_clip, ignore_stopnet=False):
grad_norm = torch.nn.utils.clip_grad_norm_([param for name, param in model.named_parameters() if 'stopnet' not in name], grad_clip) grad_norm = torch.nn.utils.clip_grad_norm_([param for name, param in model.named_parameters() if 'stopnet' not in name], grad_clip)
else: else:
grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), grad_clip) grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), grad_clip)
if np.isinf(grad_norm): if np.isinf(grad_norm.cpu()):
print(" | > Gradient is INF !!") print(" | > Gradient is INF !!")
skip_flag = True skip_flag = True
return grad_norm, skip_flag return grad_norm, skip_flag