torch.Tensor.grad

Tensor.grad

This attribute is None by default and becomes a Tensor the first time a call to backward() computes gradients for self. The attribute will then contain the gradients computed and future calls to backward() will accumulate (add) gradients into it.

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https://pytorch.org/docs/2.1/generated/torch.Tensor.grad.html