完整报错如下：
TypeError: empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device=NoneType), but expected one of: * (tuple of ints size, *, tuple of names names, torch.memory_format memory_format, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) * (tuple of ints size, *, torch.memory_format memory_format, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
参考自：https://blog.csdn.net/qq_25105061/article/details/123705011
说是不能是浮点型，所以这里定位到nn.Embedding的位置，feature_fields这个列表确实都是浮点型的，改成int类型即可
feature_fields = data_X.max().values + 1 feature_fields = feature_fields.astype(np.int) print(feature_fields) print(sum(feature_fields))
[ 2 2 2 2 2 2 2 2 2 2
2 2 2 869 525 117271 53414 210 13 9476
407 3 18942 4274 102028 2989 26 6932 82353 10
3192 1593 4 93248 15 14 21964 60 17029]
536887
