Title Here

An short introduction about PyTorch and about the chosen functions.

torch.arange()
torch.chunk()
torch.range()
torch.reshape()
torch.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.arange()

return the tensor with 1 dimension withtin range mentione din parameters of function

# Example 1 - working (change this)
torch.arange(10,1,-1)

tensor([10,  9,  8,  7,  6,  5,  4,  3,  2])