错误如下：PyTorch查询embedding的时候，报错了

~/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs)
    491             result = self._slow_forward(*input, **kwargs)
    492         else:
--> 493             result = self.forward(*input, **kwargs)
    494         for hook in self._forward_hooks.values():
    495             hook_result = hook(self, input, result)

~/anaconda3/lib/python3.6/site-packages/torch/nn/modules/sparse.py in forward(self, input)
    115         return F.embedding(
    116             input, self.weight, self.padding_idx, self.max_norm,
--> 117             self.norm_type, self.scale_grad_by_freq, self.sparse)
    118
    119     def extra_repr(self):

~/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py in embedding(input, weight, padding_idx, max_norm, norm_type, scale_grad_by_freq, sparse)
   1504         # remove once script supports set_grad_enabled
   1505         _no_grad_embedding_renorm_(weight, input, max_norm, norm_type)
-> 1506     return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
   1507
   1508

RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAType instead (while checking arguments for embedding)

原因：查询embedding的indices不是int64
解决办法：indices = indices.to(torch.int64)