Returns a new tensor with a dimension of size one inserted at the specified position.

Returns a new view of the self tensor with singleton dimensions expanded to a larger size. Passing -1 as the size for a dimension means not changing the size of ...

dimension != dim and by the corresponding value in index for dimension = dim .

Returns the sum of each row of the input tensor in the given dimension dim . If dim is a list of dimensions, reduce over all of them.

Returns a tensor with all the dimensions of input of size 1 removed. For example, if input is of shape: ...

Pads tensor. Padding size: The padding size by which to pad some dimensions of input are described starting from the last dimension and ...

Returns a tensor that is a transposed version of input . The given dimensions dim0 and dim1 ...

For a tensor to be viewed, the new view size must be compatible with its original size and stride, i.e., each new view dimension must either be a subspace ...

Supports broadcasting to a common shape, type promotion, and integer, float, and complex inputs. Parameters. input (Tensor) – the input tensor.

torch.Tensor.repeat. Tensor. repeat (*sizes) → Tensor. Repeats this tensor along the specified dimensions. Unlike expand() , this function copies the ...