test_nn.py 文件源码

def nllloss_no_reduce_weights_ignore_index_neg_test():
    t = Variable(torch.Tensor(15).uniform_().mul(10).floor().long())
    weight = torch.rand(10)

    def kwargs(i):
        return {'weight': weight.type_as(i), 'reduce': False,
                'ignore_index': -1}

    return dict(
        fullname='NLLLoss_no_reduce_weights_ignore_index_neg',
        constructor=wrap_functional(
            lambda i: F.nll_loss(i, t.type_as(i).long(), **kwargs(i.data))),
        input=torch.rand(15, 10).add(1e-2).log(),
        reference_fn=lambda i, _:
            loss_reference_fns['NLLLoss'](i, t.type_as(i).long(), **kwargs(i)),
        pickle=False)