DEV Community

Super Kai (Kazuya Ito)
Super Kai (Kazuya Ito)

Posted on • Updated on

diff in PyTorch

#python #pytorch #diff #difference

Buy Me a Coffee☕

diff() can get the 1D or more D tensor of the zero or more elements of difference from the 1D or more D tensor of zero or more elements as shown below:

*Memos:

  • diff() can be used with torch or a tensor.
  • The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool).
  • The 2nd argument with torch or the 3rd argument is n(Optional-Default:1-Type:int). *This can get the difference of the difference of diff...
  • The 3rd argument with torch or the 4th argument is dim(Optional-Default:-1-Type:int).
  • The 4th argument with torch or the 5th argument is prepend(Optional-Default:None-Type:tensor of int, float, complex or bool). *A tensor is added before input tensor.
  • The 5th argument with torch or the 6th argument is append(Optional-Default:None-Type:tensor of int, float, complex or bool). *A tensor is added after input tensor.
  • There is out argument with torch(Optional-Default:None-Type:tensor): *Memos:
    • out= must be used.
    • My post explains out argument.

A 1D tensor:

import torch

my_tensor = torch.tensor([4, 9, 1, 3, 0, 7])

torch.diff(input=my_tensor)
my_tensor.diff()
torch.diff(input=my_tensor, n=1, dim=0)
torch.diff(input=my_tensor, n=1, dim=-1)
# tensor([5, -8, 2, -3, 7])

torch.diff(input=my_tensor, n=2, dim=0)
torch.diff(input=my_tensor, n=2, dim=-1)
# tensor([-13, 10, -5, 10])

torch.diff(input=my_tensor, n=3, dim=0)
torch.diff(input=my_tensor, n=3, dim=-1)
# tensor([23, -15, 15])

torch.diff(input=my_tensor, n=4, dim=0)
torch.diff(input=my_tensor, n=4, dim=-1)
# tensor([-38, 30])

torch.diff(input=my_tensor, n=5, dim=0)
torch.diff(input=my_tensor, n=5, dim=-1)
# tensor([68])

torch.diff(input=my_tensor, n=0, dim=0)
torch.diff(input=my_tensor, n=0, dim=1)
torch.diff(input=my_tensor, n=0, dim=2)
etc..
# tensor([4, 9, 1, 3, 0, 7])

torch.diff(input=my_tensor, n=6, dim=0)
torch.diff(input=my_tensor, n=6, dim=-1)
# tensor([], dtype=torch.int64)

tensor1 = torch.tensor([4, 9, 1, 3, 0, 7])
tensor2 = torch.tensor([6])
tensor3 = torch.tensor([1, 4])
# [6, 4, 9, 1, 3, 0, 7, 1, 4]

torch.diff(input=tensor1, n=1, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=1, dim=-1, prepend=tensor2, append=tensor3)
# tensor([-2, 5, -8, 2, -3, 7, -6, 3])

torch.diff(input=tensor1, n=2, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=2, dim=-1, prepend=tensor2, append=tensor3)
# tensor([7, -13, 10, -5, 10, -13, 9])

torch.diff(input=tensor1, n=3, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=3, dim=-1, prepend=tensor2, append=tensor3)
# tensor([-20, 23, -15, 15, -23, 22])

torch.diff(input=tensor1, n=4, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=4, dim=-1, prepend=tensor2, append=tensor3)
# tensor([43, -38, 30, -38, 45])

torch.diff(input=tensor1, n=5, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=5, dim=-1, prepend=tensor2, append=tensor3)
# tensor([-81, 68, -68, 83])

torch.diff(input=tensor1, n=6, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=6, dim=-1, prepend=tensor2, append=tensor3)
# tensor([149, -136, 151])

torch.diff(input=tensor1, n=7, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=7, dim=-1, prepend=tensor2, append=tensor3)
# tensor([-285, 287])

torch.diff(input=tensor1, n=8, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=8, dim=-1, prepend=tensor2, append=tensor3)
# tensor([572])

torch.diff(input=tensor1, n=0, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=0, dim=-1, prepend=tensor2, append=tensor3)
# tensor([4, 9, 1, 3, 0, 7])

torch.diff(input=tensor1, n=8, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=8, dim=-1, prepend=tensor2, append=tensor3)
# tensor([572])

tensor1 = torch.tensor([4., 9., True, 3., False, 7+0j])
tensor2 = torch.tensor([6+0j])
tensor3 = torch.tensor([True, 4+0j])
# [6, 4, 9, 1, 3, 0, 7, 1, 4]

torch.diff(input=tensor1, n=1, dim=0, prepend=tensor2, append=tensor3)
# tensor([-2.+0.j, 5.+0.j, -8.+0.j, 2.+0.j,
#         -3.+0.j, 7.+0.j, -6.+0.j, 3.+0.j])
Enter fullscreen mode Exit fullscreen mode

A 2D tensor:

import torch

my_tensor = torch.tensor([[4, 9, 1], [3, 0, 7]])

torch.diff(input=my_tensor)
torch.diff(input=my_tensor, n=1, dim=1)
torch.diff(input=my_tensor, n=1, dim=-1)
# tensor([[5, -8], [-3, 7]])

torch.diff(input=my_tensor, n=2, dim=1)
torch.diff(input=my_tensor, n=2, dim=-1)
# tensor([[-13], [10]])

torch.diff(input=my_tensor, n=1, dim=0)
torch.diff(input=my_tensor, n=1, dim=-2)
# tensor([[-1, -9, 6]])

torch.diff(input=my_tensor, n=0, dim=0)
torch.diff(input=my_tensor, n=0, dim=1)
torch.diff(my_tensor, n=0, dim=2)
etc...
# tensor([[4, 9, 1], [3, 0, 7]])

torch.diff(input=my_tensor, n=2, dim=0)
torch.diff(input=my_tensor, n=2, dim=-2)
torch.diff(input=my_tensor, n=3, dim=0)
torch.diff(input=my_tensor, n=3, dim=-2)
# tensor([], size=(0, 3), dtype=torch.int64)

torch.diff(input=my_tensor, n=3, dim=1)
torch.diff(input=my_tensor, n=3, dim=-1)
# tensor([], size=(2, 0), dtype=torch.int64)

tensor1 = torch.tensor([[4, 9, 1], [3, 0, 7]])
tensor2 = torch.tensor([[6, 0, 5], [8, 1, 4]])
tensor3 = torch.tensor([[1, 4, 8], [0, 2, 9]])
# [[6, 0, 5, 4, 9, 1, 1, 4, 8],
#  [8, 1, 4, 3, 0, 7, 0, 2, 9]]
# Or
# [[6, 0, 5],
#  [8, 1, 4],
#  [4, 9, 1],
#  [3, 0, 7],
#  [1, 4, 8],
#  [0, 2, 9]]

torch.diff(input=tensor1, n=5, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=5, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[19, -103, 44]])

torch.diff(input=tensor1, n=1, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=1, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[-6, 5, -1, 5, -8, 0, 3, 4],
#         [-7, 3, -1, -3, 7, -7, 2, 7]])

torch.diff(input=tensor1, n=2, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=2, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[11, -6, 6, -13, 8, 3, 1],
#         [10, -4, -2, 10, -14, 9, 5]])

torch.diff(input=tensor1, n=3, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=3, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[-17, 12, -19, 21, -5, -2],
#         [-14, 2, 12, -24, 23, -4]])

torch.diff(input=tensor1, n=4, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=4, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[29, -31, 40, -26, 3],
#         [16, 10, -36, 47, -27]])

torch.diff(input=tensor1, n=5, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=5, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[-60, 71, -66, 29],
#         [ -6, -46, 83, -74]])

torch.diff(input=tensor1, n=6, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=6, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[131, -137, 95],
#         [-40, 129, -157]])

torch.diff(input=tensor1, n=7, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=7, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[-268, 232],
#         [169, -286]])

torch.diff(input=tensor1, n=8, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=8, dim=-1, prepend=tensor2, append=tensor3)
# tensor([[500],
#         [-455]])

torch.diff(input=tensor1, n=1, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=1, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[2, 1, -1],
#         [-4, 8, -3],
#         [-1, -9, 6],
#         [-2, 4, 1],
#         [-1, -2, 1]])

torch.diff(input=tensor1, n=2, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=2, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[-6, 7, -2],
#         [3, -17, 9],
#         [-1, 13, -5],
#         [1, -6, 0]])

torch.diff(input=tensor1, n=3, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=3, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[9, -24, 11],
#         [-4, 30, -14],
#         [2, -19, 5]])

torch.diff(input=tensor1, n=4, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=4, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[-13, 54, -25],
#         [6, -49, 19]])

torch.diff(input=tensor1, n=0, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=0, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=0, dim=-1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=0, dim=-2, prepend=tensor2, append=tensor3)
# tensor([[4, 9, 1], [3, 0, 7]])

torch.diff(input=tensor1, n=6, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=6, dim=-2, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=7, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=7, dim=-2, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=8, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=8, dim=-2, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=9, dim=0, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=9, dim=-2, prepend=tensor2, append=tensor3)
# tensor([], size=(0, 3), dtype=torch.int64)

torch.diff(input=tensor1, n=9, dim=1, prepend=tensor2, append=tensor3)
torch.diff(input=tensor1, n=9, dim=-1, prepend=tensor2, append=tensor3)
# tensor([], size=(2, 0), dtype=torch.int64)
Enter fullscreen mode Exit fullscreen mode

Top comments (0)

Read next

myexamcloud profile image

A look into the new module in Python 3.13.0 - dbm.sqlite3

MyExamCloud -

immah profile image

Building a Simple Image Encryption Tool Using Python

Emmanuel Kariithi -

khai-jt profile image

Move hardcoded secrets to a Secrets Manager

Khai J. Thani -

adithya_a_508b89c3885ee40 profile image

Transform Your Text Analysis Journey: How KeyBERT is Changing the Game for Keyword Extraction!

Adithya A -