I have two tensors that are batches of matrices: x = torch.randn(100,10,10) y = torch.randn(100,2,2) I want to parallelize the kronecker on each matrix, not d
Suppose that we have 2 2X2 numpy arrays: X=np.array([[0,1],[1,0]]) and I=np.array([[1,0],[0,1]]) Consider the Kronecker product XX=X^X where I have let the s