How to get and/or set gradient data during training

autograd
2

I solved it. After receiving the list with gradients, I perform the following:

# grads = [sum of gradients per batch obtained from train_batches]
for index, param in enumerate(model.parameters()):
    param.grad = torch.tensor(grads[index])
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