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Updated 3 years ago
Five functions from Torch
PyTorch is an amazing deep learning library for tensor operations and deep learning, here is a list of 5 amazing functions available in the torch module.
- torch.complex
- torch.polar
- torch.heaviside
- torch.chunk
- torch.where
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
parameters:
- real: a tensor of datatype float or double.
- imag: a tensor of datatype float
Given a tensor real
that represents the real part of a complex number, and imag
that represents the imaginary part this function will return a new tensor that represents complex number that following rule:
real + (imag)j
torch.tensor([1,2], dtype=torch.float32).shape
torch.Size([2])