def torch_list_grad_norm(param_list):
squared_sum = Variable(torch.zeros(1))
for param in param_list:
squared_sum += param.grad.norm()**2
return squared_sum.sqrt()
# Use the nn package to define our model and loss function.
Simulate_Extreme_Cases_Zero_Epoch.py 文件源码
python
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