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An short introduction about PyTorch and about the chosen functions.

  • torch.complex
  • torch.is_nonzero
  • torch.from_numpy
  • torch.linspace
  • torch.eye

Before we begin, let's install and import PyTorch

# Uncomment and run the appropriate command for your operating system, if required

# Linux / Binder
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# Windows
!pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# MacOS
# !pip install numpy torch torchvision torchaudio
# Import torch and other required modules
import torch

Function 1 - torch.complex

Add some explanations
Constructs a complex tensor with its real part equal to real and its imaginary part equal to imag.

# Example 1 - working (change this)
real = torch.tensor([1, 2], dtype=torch.float32)
imag = torch.tensor([3, 4], dtype=torch.float32)
z = torch.complex(real, imag)
z
tensor([1.+3.j, 2.+4.j])