Beginner PyTorch Tensor functions

An short introduction about PyTorch and about the chosen functions.

TORCH.NUMEL
TORCH.FROM_NUMPY
TORCH.ARANGE
TORCH.RANDN
TORCH.FULL

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

jovian.commit(project='Tensor-Operations')

[jovian] Detected Colab notebook...
[jovian] Please enter your API key ( from https://jovian.ai/ ):
API KEY: ··········
[jovian] Uploading colab notebook to Jovian...
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ai/ithackermike/tensor-operations

'https://jovian.ai/ithackermike/tensor-operations'

Function 1 - TORCH.NUMEL

The torch.numel function returns the number of elements in a tensor.