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Created 3 years ago
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])