all() can check if all the elements of a 0D or more D tensor are True
as shown below:
*Memos:
-
all()
can be used withtorch
or a tensor. - The tensor of zero or more integers, floating-point numbers, complex numbers or boolean values can be used.
- The 2nd argument(
int
,tuple
ofint
orlist
ofint
) withtorch
or the 1st argument(int
,tuple
ofint
orlist
ofint
) with a tensor isdim
(Optional). - The 3rd argument(
bool
) withtorch
or the 2nd argument(bool
) with a tensor iskeepdim
(Optional-Default:False
) which keeps the dimension of the input tensor. - An empty tensor returns
True
of a 1D or more D tensor or an empty 1D or more D tensor.
import torch
my_tensor = torch.tensor([[[True, True, True],
[0, 1, 2]],
[[3., 4., 5],
[0+7j, 1+3j, 2+0j]]])
torch.all(my_tensor)
my_tensor.all()
# tensor(False)
torch.all(my_tensor, dim=0)
torch.all(my_tensor, dim=-3)
torch.all(my_tensor, dim=(0,))
torch.all(my_tensor, dim=(-3,))
# tensor([[True, True, True],
# [False, True, True]])
torch.all(my_tensor, dim=1)
torch.all(my_tensor, dim=-2)
torch.all(my_tensor, dim=(1,))
torch.all(my_tensor, dim=(-2,))
# tensor([[False, True, True],
# [False, True, True]])
torch.all(my_tensor, dim=2)
torch.all(my_tensor, dim=-1)
torch.all(my_tensor, dim=(2,))
torch.all(my_tensor, dim=(-1,))
# tensor([[True, False],
# [True, False]])
torch.all(my_tensor, dim=(0, 2))
torch.all(my_tensor, dim=(0, -1))
torch.all(my_tensor, dim=(2, 0))
torch.all(my_tensor, dim=(2, -3))
torch.all(my_tensor, dim=(-1, 0))
torch.all(my_tensor, dim=(-1, -3))
torch.all(my_tensor, dim=(-3, 2))
torch.all(my_tensor, dim=(-3, -1))
# tensor([True, False])
torch.all(my_tensor, dim=(0, 1))
torch.all(my_tensor, dim=(0, -2))
torch.all(my_tensor, dim=(1, 0))
torch.all(my_tensor, dim=(1, -3))
torch.all(my_tensor, dim=(-2, 0))
torch.all(my_tensor, dim=(-2, -3))
torch.all(my_tensor, dim=(-3, 1))
torch.all(my_tensor, dim=(-3, -2))
# tensor([False, True, True])
torch.all(my_tensor, dim=(1, 2))
torch.all(my_tensor, dim=(1, -1))
torch.all(my_tensor, dim=(2, 1))
torch.all(my_tensor, dim=(2, -2))
torch.all(my_tensor, dim=(-1, 1))
torch.all(my_tensor, dim=(-1, -2))
torch.all(my_tensor, dim=(-2, 2))
torch.all(my_tensor, dim=(-2, -1))
# tensor([False, False])
torch.all(my_tensor, dim=0, keepdim=True)
# tensor([[[True, True, True],
# [False, True, True]]])
any() can check if any element of a 0D or more D tensor is True
as shown below:
*Memos:
-
any()
can be used withtorch
or a tensor. - The tensor of zero or more integers, floating-point numbers, complex numbers or boolean values can be used.
- The 2nd argument(
int
,tuple
ofint
orlist
ofint
) withtorch
or the 1st argument(int
,tuple
ofint
orlist
ofint
) with a tensor isdim
(Optional). - The 3rd argument(
bool
) withtorch
or the 2nd argument(bool
) with a tensor iskeepdim
(Optional-Default:False
) which keeps the dimension of the input tensor. - An empty tensor returns
False
of a 1D or more D tensor or an empty 1D or more D tensor.
import torch
my_tensor = torch.tensor([[[False, False, False],
[0, 0, 0]],
[[2, 2, 2],
[0+7j, 0+3j, 0+0j]]])
torch.any(my_tensor)
my_tensor.any()
# tensor(True)
torch.any(my_tensor, dim=0)
torch.any(my_tensor, dim=-3)
torch.any(my_tensor, dim=(0,))
torch.any(my_tensor, dim=(-3,))
torch.any(my_tensor, dim=(0, 1))
# tensor([[True, True, True],
# [False, False, False]])
torch.any(my_tensor, dim=1)
torch.any(my_tensor, dim=-2)
torch.any(my_tensor, dim=(1,))
torch.any(my_tensor, dim=(-2,))
# tensor([[False, False, False],
# [True, True, True]])
torch.any(my_tensor, dim=2)
torch.any(my_tensor, dim=-1)
torch.any(my_tensor, dim=(2,))
torch.any(my_tensor, dim=(-1,))
# tensor([[False, False],
# [True, False]])
torch.any(my_tensor, dim=(0, 2))
torch.any(my_tensor, dim=(0, -1))
torch.any(my_tensor, dim=(2, 0))
torch.any(my_tensor, dim=(2, -3))
torch.any(my_tensor, dim=(-1, 0))
torch.any(my_tensor, dim=(-1, -3))
torch.any(my_tensor, dim=(-3, 2))
torch.any(my_tensor, dim=(-3, -1))
# tensor([True, False])
torch.any(my_tensor, dim=(0, 1))
torch.any(my_tensor, dim=(0, -2))
torch.any(my_tensor, dim=(1, 0))
torch.any(my_tensor, dim=(1, -3))
torch.any(my_tensor, dim=(-2, 0))
torch.any(my_tensor, dim=(-2, -3))
torch.any(my_tensor, dim=(-3, 1))
torch.any(my_tensor, dim=(-3, -2))
# tensor([True, True, True])
torch.any(my_tensor, dim=(1, 2))
torch.any(my_tensor, dim=(1, -1))
torch.any(my_tensor, dim=(2, 1))
torch.any(my_tensor, dim=(2, -2))
torch.any(my_tensor, dim=(-1, 1))
torch.any(my_tensor, dim=(-1, -2))
torch.any(my_tensor, dim=(-2, 2))
torch.any(my_tensor, dim=(-2, -1))
# tensor([False, True])
torch.any(my_tensor, dim=0, keepdim=True)
# tensor([[[True, True, True],
# [False, False, False]]])
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