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Create Tensors in PyTorch

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by sneha@openweaver.com dot icon Updated: Mar 29, 2023

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Tensors are multidimensional arrays used to represent data in a mathematical structure. They are used in deep learning and machine learning algorithms to store data in a way that can be efficiently manipulated and used to produce results. 



PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing. Facebook's AI Research lab primarily develops it. 

  • It provides an easy-to-use API for creating deep learning models and performing deep learning tasks. 
  • It also provides many tools for debugging and visualizing models. 


Here is an example of creating tensors in PyTorch 



Fig1: Preview of Output user will receive after running the code in IDE

Code


In this solution, we will create tensors in PyTorch

How to generate a new Tensor with different vectors in PyTorch?

PythondotLines of Code : 17dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import torch

# batch_size = 16, a_len = 10, b_len = 20, hid_dim = 50
a = torch.rand(16, 10, 50)
b = torch.rand(16, 20, 50)

c = a.unsqueeze(2).expand(*a.size()[:-1], b.size(1), a.size()[-1])
d = b.unsqueeze(1).expand(b.size()[0], a.size(1), *b.size()[1:])
print(c.size(), d.size())
print(c.size(), d.size())

mul = c * d       # shape of c, d: 16 x 10 x 20 x 50
print(mul.size()) # 16 x 10 x 20 x 50

c = a.unsqueeze(2).expand(a.size(0), a.size(1), b.size(1), a.size(2))
d = b.unsqueeze(1).expand(b.size(0), a.size(1), b.size(1), b.size(2))

Instructions


  1. Install Jupyter Notebook on your computer.
  2. Open terminal and install the required libraries with following commands.
  3. Install PyTorch - pip install pytorch
  4. Copy the snippet using the 'copy' button and paste it into that file.
  5. Run the file using run button.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "Creating tensors in PyTorch" in kandi. You can try any such use case!

Dependent Libraries

pytorch-tutorialby yunjey

Python doticonstar image 26754 doticonVersion:Currentdoticon
License: Permissive (MIT)

PyTorch Tutorial for Deep Learning Researchers

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            pytorch-tutorialby yunjey

            Python doticon star image 26754 doticonVersion:Currentdoticon License: Permissive (MIT)

            PyTorch Tutorial for Deep Learning Researchers
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have PyTorch that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the PyTorch page in kandi.


                      You can search for any dependent library on kandi like PyTorch.

                      Environment Tested


                      I tested this solution in the following versions. Be mindful of changes when working with other versions.

                      1. The solution is created in Python3.9.6
                      2. The solution is tested on PyTorch 2.0.0 version.


                      Using this solution, we are able to create tensors in PyTorch



                      This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to create tensors in PyTorch.

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