layout changing between the two options. Transposition of the
     sparse dimensions of a SparseBSR or SparseBSC layout tensor
     will likewise generate a result with the opposite layout.
Parameters:
      * input (Tensor) -- the input tensor.
  * **dim0** (*int*) -- the first dimension to be transposed

  * **dim1** (*int*) -- the second dimension to be transposed

Example:
  >>> x = torch.randn(2, 3)
  >>> x
  tensor([[ 1.0028, -0.9893,  0.5809],
          [-0.1669,  0.7299,  0.4942]])
  >>> torch.transpose(x, 0, 1)
  tensor([[ 1.0028, -0.1669],
          [-0.9893,  0.7299],
          [ 0.5809,  0.4942]])

See also "torch.t()".