utils.pytorch | Utilities for Pytorch

by eladhoffer Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | utils.pytorch Summary

utils.pytorch is a Python library. utils.pytorch has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However utils.pytorch build file is not available. You can download it from GitHub.

Utilities for Pytorch

Support

Quality

Security

License

Reuse

Support

utils.pytorch has a low active ecosystem.

It has 89 star(s) with 25 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 311 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of utils.pytorch is current.

Quality

utils.pytorch has 0 bugs and 29 code smells.

Security

utils.pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

utils.pytorch code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

utils.pytorch is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

utils.pytorch releases are not available. You will need to build from source code and install.

utils.pytorch has no build file. You will be need to create the build yourself to build the component from source.

utils.pytorch saves you 666 person hours of effort in developing the same functionality from scratch.

It has 1544 lines of code, 213 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed utils.pytorch and discovered the below as its top functions. This is intended to give you an instant insight into utils.pytorch implemented functionality, and help decide if they suit your requirements.

Update optimizer
Adjust the optimizer
Execute the optimizer
Performs post - step
Update the current setting
Eval a function
Update the model
Load measurments from file
Multiply clip gradients
Calculate the norm of a list of parameters
Clip the gradient of the optimizer
Performs pre - step initialization
Perform pre - forward computation
Mix y into target
Apply pre - optimization
Update the distribution with the given value
Plot the results
Apply penalty
Apply soft shrink operation
Split the dataset
Dequantize a tensor
Save the figure
Generator for all the parameters in a model
Apply pre - step
Randomly split the dataset
Quantize the model

Get all kandi verified functions for this library.

utils.pytorch Key Features

No Key Features are available at this moment for utils.pytorch.

utils.pytorch Examples and Code Snippets

No Code Snippets are available at this moment for utils.pytorch.

Community Discussions

No Community Discussions are available at this moment for utils.pytorch.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install utils.pytorch

You can download it from GitHub.
You can use utils.pytorch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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