DEV Community

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

Posted on

fmod in PyTorch

Buy Me a Coffee

*Memos:

fmod() can do the modulo(mod) calculation of C++’s std::fmod with two of the 0D or more D tensors of zero or more elements or the 0D or more D tensor of zero or more elements and a scalar, getting the 0D or more D tensor of zero or more elements as shown below:

*Memos:

  • fmod() can be used with torch or a tensor.
  • The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int or float).
  • The 2nd argument with torch or the 1st argument with a tensor is other(Required-Type:tensor or scalar of int or float).
  • There is out argument with torch(Optional-Default:None-Type:tensor): *Memos:
    • out= must be used.
    • My post explains out argument.
  • Setting 0(int) to other gets ZeroDivisionError.
  • The result has the same sign as the original tensor.
import torch

tensor1 = torch.tensor([9, 7, 6])
tensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])

torch.fmod(input=tensor1, other=tensor2)
tensor1.fmod(other=tensor2)
# tensor([[1, 3, 0], [1, 2, 1]])

torch.fmod(input=tensor1, other=4)
# tensor([1, 3, 2])

tensor1 = torch.tensor([-9, -7, -6])
tensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])

torch.fmod(input=tensor1, other=tensor2)
# tensor([[-1, -3, 0], [-1, -2, -1]])

torch.fmod(input=tensor1, other=4)
# tensor([-1, -3, -2])

tensor1 = torch.tensor([9.75, 7.08, 6.26])
tensor2 = torch.tensor([[4.26, -4.54, 3.37], [-2.16, 5.43, -5.98]])

torch.fmod(input=tensor1, other=tensor2)
# tensor([[1.2300, 2.5400, 2.8900], [1.1100, 1.6500, 0.2800]])

torch.fmod(input=tensor1, other=4.26)
# tensor([1.2300, 2.8200, 2.0000])
Enter fullscreen mode Exit fullscreen mode

Heroku

Simplify your DevOps and maximize your time.

Since 2007, Heroku has been the go-to platform for developers as it monitors uptime, performance, and infrastructure concerns, allowing you to focus on writing code.

Learn More

Top comments (0)

Billboard image

The Next Generation Developer Platform

Coherence is the first Platform-as-a-Service you can control. Unlike "black-box" platforms that are opinionated about the infra you can deploy, Coherence is powered by CNC, the open-source IaC framework, which offers limitless customization.

Learn more

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay