sparse_learning | Sparse learning library and sparse momentum resources | Machine Learning library

by TimDettmers Python Version: v1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sparse_learning Summary

sparse_learning is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. sparse_learning has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However sparse_learning has 1 bugs. You can download it from GitHub.

Sparse learning library and sparse momentum resources.

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Quality

Security

License

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Support

sparse_learning has a low active ecosystem.

It has 364 star(s) with 45 fork(s). There are 19 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 11 have been closed. On average issues are closed in 44 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sparse_learning is v1.0

Quality

sparse_learning has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 144 code smells.

Security

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

sparse_learning code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

sparse_learning 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

sparse_learning releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

sparse_learning saves you 1871 person hours of effort in developing the same functionality from scratch.

It has 4128 lines of code, 210 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Train the network
Add a module to the model
Adjust the learning rate based on args
Remove weight mask
Removes weight for nn_type
Train model
Prints message to logger
Update the statistics
Compute accuracy between targets and target
Return a list of rainbow colors
Adjust the learning rate based on parameters
Evaluate the model
Extract train and eval summary from text
Calculate and print results
Create a convolutional layer
Add a module
Prints a message to logger
Setup the logger
Plot class feature histograms
Calculate the growth decay of neurons
Perform the forward computation
Add command line arguments to the given parser
Calculate model size
Get the cifar10 dataset
Get MNIST loaders
Parse command line arguments
Calculate global momentum growth
Calculate the weighted momentum weighted mean
Calculate momentum growth

Get all kandi verified functions for this library.

sparse_learning Key Features

No Key Features are available at this moment for sparse_learning.

sparse_learning Examples and Code Snippets

No Code Snippets are available at this moment for sparse_learning.

Community Discussions

Trending Discussions on sparse_learning

Unable to solve "ImportError: dynamic module does not define module export function"

QUESTION

Unable to solve "ImportError: dynamic module does not define module export function"

Asked 2019-Mar-28 at 05:39

The is the link to the python package I am trying to compile and install. I have tried what I can find online for hours but cannot get over the ImportError.

The package has the following contents.

Its setup.py has the following content. There are two modules here. One is the python wrapper package with sparse_learning, the other is a c extension module named proj_module.

I followed the procedure described here https://docs.python.org/3.6/extending/building.html to compile and install on Ubuntu 18.04. There is no error message.

sudo python3 setup.py build_ext --inplace

sudo python3 setup.py install

Then when I try to load the C-extension module proj_module, an error "ImportError: dynamic module does not define module export function" occurs.

python3 -c "import proj_module"

I tried to apply solutions found online, including uninstalling Python2 with sudo apt purge python2.7-minimal, or add python3 site-packages paths to the bashrc. However, none of them worked.

I just know it was originally written for Python 2. Then two modifications are made in the main_wrapper.c for it to run for Python 3. They look correct to me...

Added:

Changed:

...

ANSWER

Answered 2019-Mar-28 at 05:39

It looks like you've got a little bit of Python 2-style code mixed in with your Python 3 module here. You just need to replace

PyMODINIT_FUNC initproj_module() {

with

PyMODINIT_FUNC PyInit_proj_module() {

in your main_wrapper.c file.

Source https://stackoverflow.com/questions/55277328

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

Vulnerabilities

No vulnerabilities reported

Install sparse_learning

Install PyTorch.
Install other dependencies: pip install -r requirements.txt
Install the sparse learning library: python setup.py install

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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