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My first attempt at PyTorch and Deep Learning !!!

If we look at ever-growing set of Deep Learning libraries then PyTorch is one of the recent popular release. At its core, the development of Pytorch was aimed at being as similar to Python’s Numpy as possible. Doing so would allow an easy and smooth interaction between regular Python code, Numpy, and Pytorch allowing for faster and easier coding.

  • cat
  • eye
  • full
  • squeeze
  • 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
Looking in links: https://download.pytorch.org/whl/torch_stable.html Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (1.18.5) Collecting torch==1.7.0+cpu Downloading https://download.pytorch.org/whl/cpu/torch-1.7.0%2Bcpu-cp36-cp36m-linux_x86_64.whl (159.3MB) |████████████████████████████████| 159.3MB 86kB/s Collecting torchvision==0.8.1+cpu Downloading https://download.pytorch.org/whl/cpu/torchvision-0.8.1%2Bcpu-cp36-cp36m-linux_x86_64.whl (11.8MB) |████████████████████████████████| 11.8MB 53.7MB/s Collecting torchaudio==0.7.0 Downloading https://files.pythonhosted.org/packages/3f/23/6b54106b3de029d3f10cf8debc302491c17630357449c900d6209665b302/torchaudio-0.7.0-cp36-cp36m-manylinux1_x86_64.whl (7.6MB) |████████████████████████████████| 7.6MB 7.2MB/s Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch==1.7.0+cpu) (0.16.0) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.6/dist-packages (from torch==1.7.0+cpu) (3.7.4.3) Requirement already satisfied: dataclasses in /usr/local/lib/python3.6/dist-packages (from torch==1.7.0+cpu) (0.8) Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision==0.8.1+cpu) (7.0.0) Installing collected packages: torch, torchvision, torchaudio Found existing installation: torch 1.7.0+cu101 Uninstalling torch-1.7.0+cu101: Successfully uninstalled torch-1.7.0+cu101 Found existing installation: torchvision 0.8.1+cu101 Uninstalling torchvision-0.8.1+cu101: Successfully uninstalled torchvision-0.8.1+cu101 Successfully installed torch-1.7.0+cpu torchaudio-0.7.0 torchvision-0.8.1+cpu 
# Import torch and other required modules
import torch

Function 1 - torch.cat

Concatenates the given sequence of seq tensors in the given dimension. All tensors must either have the same shape (except in the concatenating dimension) or be empty.

# Example 1 - working 
x = torch.randn(2, 3)
x
torch.cat((x, x, x), 0)
tensor([[ 0.0406, -0.3428, -0.8062],
        [-0.4140, -0.0853, -0.0814],
        [ 0.0406, -0.3428, -0.8062],
        [-0.4140, -0.0853, -0.0814],
        [ 0.0406, -0.3428, -0.8062],
        [-0.4140, -0.0853, -0.0814]])