gistfile1.txt

In [1]: import torch

In [2]: input = torch.tensor([[0.2, -0.2, 0.07]], requires_grad=True)
   ...: target = torch.tensor([[0, 0, 1]])
   ...: outputs = torch.nn.functional.multilabel_margin_loss(input, target)
   ...:
   ...:

In [3]: outputs
Out[3]: tensor(1.0033, grad_fn=<MultilabelMarginLossBackward>)

In [4]: grads = torch.autograd.grad(outputs, input, create_graph=True, allow_unused=True)

In [5]: grads
Out[5]: (tensor([[-0.6667, -0.3333,  1.0000]], grad_fn=<Error>),)