Pytorch中的torch.gather()函数

以官方说明为例，gather()函数需要三个参数，输入input，维度dim，以及索引index

input必须为Tensor类型

dim为int类型，代表从哪个维度进行索引

index为LongTensor类型

input=torch.tensor([[1,2,3],[4,5,6]]) #作为输入

index1=torch.tensor([[0,1,1],[0,1,1]]) #作为索引矩阵

# dim=0时,按列进行索引
print (torch.gather(input,dim=0,index=index1))

# dim=1时,按行进行索引
print (torch.gather(input,dim=1,index=index1))

 结果如下图所示：

# 按列进行索引
tensor([[1, 5, 6],
        [4, 2, 6]])

# 按行进行索引
tensor([[1, 2, 2],
        [5, 4, 5]])

    def gather(self, input, dim, index, *args, **kwargs): 

        
        For a 3-D tensor the output is specified by::
        
            out[i][j][k] = input[index[i][j][k]][j][k]  # if dim == 0
            out[i][j][k] = input[i][index[i][j][k]][k]  # if dim == 1
            out[i][j][k] = input[i][j][index[i][j][k]]  # if dim == 2
        

        Args:
            input (Tensor): the source tensor
            dim (int): the axis along which to index
            index (LongTensor): the indices of elements to gather
        

      
        Example::
        
            >>> t = torch.tensor([[1, 2], [3, 4]])
            >>> torch.gather(t, 1, torch.tensor([[0, 0], [1, 0]]))
            tensor([[ 1,  1],
                    [ 4,  3]])