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torch.autograd.graph.Node.name

abstract Node.name()[source][source]

Return the name.

Example:

>>> import torch
>>> a = torch.tensor([0., 0., 0.], requires_grad=True)
>>> b = a.clone()
>>> assert isinstance(b.grad_fn, torch.autograd.graph.Node)
>>> print(b.grad_fn.name())
CloneBackward0
Return type

str

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