Learn practical skills, build real-world projects, and advance your career
Updated 3 years ago
Title Here
An short introduction about PyTorch and about the chosen functions.
- arange
- chunk
- reshape
- std_mean()
- unfold(dimension, size, step) → Tensor
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 (Creation Ops)
Returns a one dimension tensor with the parameters chosen: START, END (only one mandatory) and STEP.
# Example 1 - working
torch.arange(8)
tensor([0, 1, 2, 3, 4, 5, 6, 7])