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Created 3 years ago
Pytorch Functions
Pytorch is a open source machine learning library for python & it supports GPU. We are covering some basic functions of pytorch.
- torch.from_numpy
- torch.mm
- torch.cat
- torch.chunk
- torch.narrow
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.from_numpy
This Function is used to create tensor from numpy array.
# Example 1 - working (change this)
import numpy as np
a = np.array([32,35,321,98])
b = torch.from_numpy(a)
print(a)
print(b)
[ 32 35 321 98]
tensor([ 32, 35, 321, 98])