解决报错：TypeError: log_sigmoid: argument ‘input‘ (position 1) must be Tensor, not torch.return_types.

报错如下：

TypeError: log_sigmoid(): argument 'input' (position 1) must be Tensor, not torch.return_types.max

()的返回类型为 torch.return_types.max

fused_scores = torch.max(scores, 0)

查看 fused_scores 的输出

fused_scores:  torch.return_types.max(
values=tensor([[ 0.5952,  0.1784, -0.2445,  ..., -0.0974, -0.6694,  0.3119],
        [ 0.7369,  0.7385, -0.2017,  ..., -0.2205, -0.2231,  0.1668],
        [ 0.3139,  0.6366, -0.3020,  ..., -0.7823, -0.2979,  0.1990],
        ...,
        [ 0.5835,  0.6074,  0.7595,  ...,  0.0768, -0.9004,  0.5091],
        [-0.1438,  0.5788, -0.4486,  ..., -0.5650, -0.2581,  0.8750],
        [-0.0785,  0.2236,  0.2840,  ...,  0.0266, -0.2749,  0.0575]],
       device='cuda:0', grad_fn=<MaxBackward0>),
indices=tensor([[3, 0, 5,  ..., 3, 5, 2],
        [0, 1, 4,  ..., 0, 4, 2],
        [5, 1, 0,  ..., 5, 0, 3],
        ...,
        [0, 3, 1,  ..., 2, 4, 1],
        [4, 5, 2,  ..., 3, 2, 0],
        [3, 5, 2,  ..., 1, 2, 3]], device='cuda:0'))

取 fused_scores.values即可 ==>