PyTorch Paanch

PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.

torch.randn()
torch.from_numpy()
torch.view()
torch.device()
torch.set_printoptions()

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.randn()

Creates a tensor of random numbers

# Example 1 - working
x = torch.randn(2,2, dtype=torch.float)
x

tensor([[-0.0502, -0.2199],
        [ 0.2780,  0.1898]])