torch.functional.block_diag#

torch.functional.block_diag(*tensors)[source]#

Create a block diagonal matrix from provided tensors.

Parameters

*tensors – One or more tensors with 0, 1, or 2 dimensions.

Returns

A 2 dimensional tensor with all the input tensors arranged inorder such that their upper left and lower right corners arediagonally adjacent. All other elements are set to 0.

Return type

Tensor

Example:

>>>importtorch>>>A=torch.tensor([[0,1],[1,0]])>>>B=torch.tensor([[3,4,5],[6,7,8]])>>>C=torch.tensor(7)>>>D=torch.tensor([1,2,3])>>>E=torch.tensor([[4],[5],[6]])>>>torch.block_diag(A,B,C,D,E)tensor([[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],        [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],        [0, 0, 3, 4, 5, 0, 0, 0, 0, 0],        [0, 0, 6, 7, 8, 0, 0, 0, 0, 0],        [0, 0, 0, 0, 0, 7, 0, 0, 0, 0],        [0, 0, 0, 0, 0, 0, 1, 2, 3, 0],        [0, 0, 0, 0, 0, 0, 0, 0, 0, 4],        [0, 0, 0, 0, 0, 0, 0, 0, 0, 5],        [0, 0, 0, 0, 0, 0, 0, 0, 0, 6]])