*Memos:
- My post explains diagonal().
- My post explains eye().
- My post explains diag() and diagflat().
diag_embed() can get the zero or more elements of a 2D or more D tensor on the diagonal and zero or more 0
, 0.
, 0.+0.j
or False
elsewhere from a 1D or more D tensor as shown below:
*Memos:
-
diag_embed()
can be used with torch or a tensor. - The 1st argument(
tensor
ofint
,float
,complex
orbool
) withtorch
or using a tensor(tensor
ofint
,float
,complex
orbool
) isinput
(Required). - The 2nd argument(
int
) with torch or the 1st argument(int
) with a tensor isoffset
(Optional-Default:0
). - The 3rd argument(
int
) with torch or the 2nd argument(int
) with a tensor isdim1
(Optional-Default:-2
). - The 4th argument(
int
) with torch or the 3rd argument(int
) with a tensor isdim2
(Optional-Default:-1
).
import torch
my_tensor = torch.tensor([7, -4, 5])
torch.diag_embed(input=my_tensor)
my_tensor.diag_embed()
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=-1)
# tensor([[7, 0, 0],
# [0, -4, 0],
# [0, 0, 5]])
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=-2)
# tensor([[0, 7, 0, 0],
# [0, 0, -4, 0],
# [0, 0, 0, 5],
# [0, 0, 0, 0]])
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=-1)
# tensor([[0, 0, 0, 0],
# [7, 0, 0, 0],
# [0, -4, 0, 0],
# [0, 0, 5, 0]])
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=-2)
# tensor([[0, 0, 7, 0, 0],
# [0, 0, 0, -4, 0],
# [0, 0, 0, 0, 5],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]])
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=-1)
# tensor([[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [7, 0, 0, 0, 0],
# [0, -4, 0, 0, 0],
# [0, 0, 5, 0, 0]])
my_tensor = torch.tensor([7., -4., 5.])
torch.diag_embed(input=my_tensor)
# tensor([[7., 0., 0.],
# [0., -4., 0.],
# [0., 0., 5.]])
my_tensor = torch.tensor([7+0j, -4+0j, 5+0j])
torch.diag_embed(input=my_tensor)
# tensor([[7.+0.j, 0.+0.j, 0.+0.j],
# [0.+0.j, -4.+0.j, 0.+0.j],
# [0.+0.j, 0.+0.j, 5.+0.j]])
my_tensor = torch.tensor([True, True, True])
torch.diag_embed(input=my_tensor)
# tensor([[True, False, False],
# [False, True, False],
# [False, False, True]])
my_tensor = torch.tensor([[7, -4, 5],
[-6, -3, 8],
[9, 1, -2]])
torch.diag_embed(input=my_tensor)
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=-2)
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=0, dim1=-3, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=-3, dim2=-2)
# tensor([[[7, -6, 9],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [-4, -3, 1],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [5, 8, -2]]])
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=2)
torch.diag_embed(input=my_tensor, offset=0, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=0, dim1=2, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=0, dim1=-3, dim2=2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-3, dim2=-1)
# tensor([[[7, 0, 0],
# [-6, 0, 0],
# [9, 0, 0]],
# [[0, -4, 0],
# [0, -3, 0],
# [0, 1, 0]],
# [[0, 0, 5],
# [0, 0, 8],
# [0, 0, -2]]])
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=2)
torch.diag_embed(input=my_tensor, offset=0, dim1=1, dim2=-1)
torch.diag_embed(input=my_tensor, offset=0, dim1=2, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=2, dim2=-2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=1)
torch.diag_embed(input=my_tensor, offset=0, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=2)
torch.diag_embed(input=my_tensor, offset=0, dim1=-2, dim2=-1)
# tensor([[[7, 0, 0],
# [0, -4, 0],
# [0, 0, 5]],
# [[-6, 0, 0],
# [0, -3, 0],
# [0, 0, 8]],
# [[9, 0, 0],
# [0, 1, 0],
# [0, 0, -2]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=-2)
torch.diag_embed(input=my_tensor, offset=1, dim1=-3, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-3, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=-3)
# tensor([[[0, 0, 0],
# [7, -6, 9],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [-4, -3, 1],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [5, 8, -2]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=2)
torch.diag_embed(input=my_tensor, offset=1, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-3, dim2=2)
torch.diag_embed(input=my_tensor, offset=1, dim1=-3, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=2, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=-3)
# tensor([[[0, 7, 0, 0],
# [0, -6, 0, 0],
# [0, 9, 0, 0]],
# [[0, 0, -4, 0],
# [0, 0, -3, 0],
# [0, 0, 1, 0]],
# [[0, 0, 0, 5],
# [0, 0, 0, 8],
# [0, 0, 0, -2]],
# [[0, 0, 0, 0],
# [0, 0, 0, 0],
# [0, 0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-3, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-3, dim2=-2)
# tensor([[[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[7, -6, 9],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [-4, -3, 1],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [5, 8, -2],
# [0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=2)
torch.diag_embed(input=my_tensor, offset=1, dim1=1, dim2=-1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=2)
torch.diag_embed(input=my_tensor, offset=1, dim1=-2, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=2, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=2, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-1, dim2=-2)
# tensor([[[0, 7, 0, 0],
# [0, 0, -4, 0],
# [0, 0, 0, 5],
# [0, 0, 0, 0]],
# [[0, -6, 0, 0],
# [0, 0, -3, 0],
# [0, 0, 0, 8],
# [0, 0, 0, 0]],
# [[0, 9, 0, 0],
# [0, 0, 1, 0],
# [0, 0, 0, -2],
# [0, 0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=2, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-3, dim2=2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-3, dim2=-1)
# tensor([[[0, 0, 0, 0],
# [0, 0, 0, 0],
# [0, 0, 0, 0]],
# [[7, 0, 0, 0],
# [-6, 0, 0, 0],
# [9, 0, 0, 0]],
# [[0, -4, 0, 0],
# [0, -3, 0, 0],
# [0, 1, 0, 0]],
# [[0, 0, 5, 0],
# [0, 0, 8, 0],
# [0, 0, -2, 0]]])
torch.diag_embed(input=my_tensor, offset=1, dim1=2, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=2, dim2=-2)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=1)
torch.diag_embed(input=my_tensor, offset=1, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=1, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=2)
torch.diag_embed(input=my_tensor, offset=-1, dim1=-2, dim2=-1)
# tensor([[[0, 0, 0, 0],
# [7, 0, 0, 0],
# [0, -4, 0, 0],
# [0, 0, 5, 0]],
# [[0, 0, 0, 0],
# [-6, 0, 0, 0],
# [0, -3, 0, 0],
# [0, 0, 8, 0]],
# [[0, 0, 0, 0],
# [9, 0, 0, 0],
# [0, 1, 0, 0],
# [0, 0, -2, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=-2)
torch.diag_embed(input=my_tensor, offset=2, dim1=-3, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-3, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=-3)
# tensor([[[0, 0, 0],
# [0, 0, 0],
# [7, -6, 9],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [-4, -3, 1],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [5, 8, -2]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=2)
torch.diag_embed(input=my_tensor, offset=2, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-3, dim2=2)
torch.diag_embed(input=my_tensor, offset=2, dim1=-3, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=2, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=-3)
# tensor([[[0, 0, 7, 0, 0],
# [0, 0, -6, 0, 0],
# [0, 0, 9, 0, 0]],
# [[0, 0, 0, -4, 0],
# [0, 0, 0, -3, 0],
# [0, 0, 0, 1, 0]],
# [[0, 0, 0, 0, 5],
# [0, 0, 0, 0, 8],
# [0, 0, 0, 0, -2]],
# [[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]],
# [[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-3, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-3, dim2=-2)
# tensor([[[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[7, -6, 9],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [-4, -3, 1],
# [0, 0, 0],
# [0, 0, 0],
# [0, 0, 0]],
# [[0, 0, 0],
# [0, 0, 0],
# [5, 8, -2],
# [0, 0, 0],
# [0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=2)
torch.diag_embed(input=my_tensor, offset=2, dim1=1, dim2=-1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=2)
torch.diag_embed(input=my_tensor, offset=2, dim1=-2, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=2, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=2, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-1, dim2=-2)
# tensor([[[0, 0, 7, 0, 0],
# [0, 0, 0, -4, 0],
# [0, 0, 0, 0, 5],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]],
# [[0, 0, -6, 0, 0],
# [0, 0, 0,-3, 0],
# [0, 0, 0, 0, 8],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]],
# [[0, 0, 9, 0, 0],
# [0, 0, 0, 1, 0],
# [0, 0, 0, 0, -2],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=2, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=2, dim2=-3)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=0)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=-3)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=0, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-3, dim2=2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-3, dim2=-1)
# tensor([[[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]],
# [[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]],
# [[7, 0, 0, 0, 0],
# [-6, 0, 0, 0, 0],
# [9, 0, 0, 0, 0]],
# [[0, -4, 0, 0, 0],
# [0, -3, 0, 0, 0],
# [0, 1, 0, 0, 0]],
# [[0, 0, 5, 0, 0],
# [0, 0, 8, 0, 0],
# [0, 0, -2, 0, 0]]])
torch.diag_embed(input=my_tensor, offset=2, dim1=2, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=2, dim2=-2)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=1)
torch.diag_embed(input=my_tensor, offset=2, dim1=-1, dim2=-2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=1, dim2=-1)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=2)
torch.diag_embed(input=my_tensor, offset=-2, dim1=-2, dim2=-1)
# tensor([[[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [7, 0, 0, 0, 0],
# [0, -4, 0, 0, 0],
# [0, 0, 5, 0, 0]],
# [[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [-6, 0, 0, 0, 0],
# [0, -3, 0, 0, 0],
# [0, 0, 8, 0, 0]],
# [[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [9, 0, 0, 0, 0],
# [0, 1, 0, 0, 0],
# [0, 0, -2, 0, 0]]])
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