test_torch.py 文件源码

def test_print(self):
        for t in torch._tensor_classes:
            if t == torch.HalfTensor:
                continue  # HalfTensor does not support fill
            if t in torch.sparse._sparse_tensor_classes:
                continue
            if t.is_cuda and not torch.cuda.is_available():
                continue
            obj = t(100, 100).fill_(1)
            obj.__repr__()
            str(obj)
        for t in torch._storage_classes:
            if t.is_cuda and not torch.cuda.is_available():
                continue
            obj = t(100).fill_(1)
            obj.__repr__()
            str(obj)

        x = torch.Tensor([4, float('inf'), 1.5, float('-inf'), 0, float('nan'), 1])
        x.__repr__()
        str(x)