channel_pruning_caffe

by youngbaby123 Python Version: Current License: No License

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

kandi X-RAY | channel_pruning_caffe Summary

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

channel_pruning_caffe

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Quality

Security

License

Reuse

Support

channel_pruning_caffe has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

channel_pruning_caffe has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of channel_pruning_caffe is current.

Quality

channel_pruning_caffe has 0 bugs and 0 code smells.

Security

channel_pruning_caffe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

channel_pruning_caffe code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

channel_pruning_caffe does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

channel_pruning_caffe saves you 617 person hours of effort in developing the same functionality from scratch.

It has 1435 lines of code, 67 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Creates a graph of weights
Gets the top of the layer
Gets the bottom layer of the given layer
Returns the name of the given weights
Return a dictionary of the layer with the given type
Get a dictionary of layer types
Return the name of the given weights
Returns the scale layer for a given weights_name
Perform the pruned channel on the network
Perform a single batch
Parse command line arguments
Loads a trained network
Reshapes the batch size
Add a path to sys path

Get all kandi verified functions for this library.

channel_pruning_caffe Key Features

No Key Features are available at this moment for channel_pruning_caffe.

channel_pruning_caffe Examples and Code Snippets

No Code Snippets are available at this moment for channel_pruning_caffe.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install channel_pruning_caffe

You can download it from GitHub.
You can use channel_pruning_caffe 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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