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Updated 2 years ago
Tensor Operations
An short introduction about PyTorch and about the chosen functions.
- torch.rand()
- torch.arange()
- torch.polar()
- torch.cat()
- torch.split()
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
import numpy as np
Function 1 - torch.rand
Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1)
torch.rand(3,2)
tensor([[0.7243, 0.9867],
[0.4111, 0.9780],
[0.7723, 0.1528]])