Tensor Operations

An short introduction about PyTorch and about the chosen functions.

-Tensor
-randperm
-hstack
-arange
-std_mean

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.tensor

A tensor is a number, vector, matrix, or any n-dimensional array. It creates a tensor with the data.

# Example 1 - working (change this)
torch.tensor([[1, 2], [3, 4.]])

tensor([[1., 2.],
        [3., 4.]])