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Updated 3 years ago
Title Here
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])