mshadow | Matrix Shadow : Lightweight CPU | GPU library

by dmlc C++ Version: v1.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | mshadow Summary

mshadow is a C++ library typically used in Hardware, GPU, Deep Learning, Pytorch applications. mshadow has no bugs, it has no vulnerabilities and it has medium support. However mshadow has a Non-SPDX License. You can download it from GitHub.

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

Support

Quality

Security

License

Reuse

Support

mshadow has a medium active ecosystem.

It has 1083 star(s) with 436 fork(s). There are 103 watchers for this library.

It had no major release in the last 12 months.

There are 37 open issues and 52 have been closed. On average issues are closed in 63 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mshadow is v1.1

Quality

mshadow has no bugs reported.

Security

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

License

mshadow has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

mshadow releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mshadow

Get all kandi verified functions for this library.

mshadow Key Features

No Key Features are available at this moment for mshadow.

mshadow Examples and Code Snippets

No Code Snippets are available at this moment for mshadow.

Community Discussions

Trending Discussions on mshadow

What is temporal memory allocation?

Using topk to prune inputs in MXNet

QUESTION

What is temporal memory allocation?

Asked 2017-Dec-02 at 16:03

I am studying expression templates and the mshadow codebase. In their wiki pages here, they provide an example that is bad solution because its doing temporal memory allocation and deallocation. What is that and how is the given code doing such a thing?

Referred Code :

...

ANSWER

Answered 2017-Dec-02 at 15:59

In this case they are talking about allocating some space in memory to hold values temporarily.

For example, when you do

Source https://stackoverflow.com/questions/47609633

QUESTION

Using topk to prune inputs in MXNet

Asked 2017-Aug-03 at 23:56

I am trying to make an operator in MXNet that will introduce sparsity in the output in the following way:

Doing the pruning for each data-point separately (axis 0 is for the data-points)
Dropping lower weights to 0
Keeping the same dimensions as the input

I am currently doing this with the following piece of code (assuming act is the input to this operator):

...

ANSWER

Answered 2017-Aug-03 at 23:56

The cause of the problem has to do with the implementation of the GPU operator and its kernel, specifically the number of threads, blocks, and thus the grid dimensions at the kernel launch.

In particular, the NVIDIA CUDA compute capabilities specify a maximum number of threads, threads per block as well as number of blocks per dimension (grid dimension). See, for example, http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities.

In your case, the threshold of 65535 is crossed for the first grid dimension. In MXNet, this threshold is also defined as kMaxGridDim. Thus it throws the error.

To solve the problem, there may be different options: Changing the specific operator itself and the number of threads requested for the kernel launch and then possibly the kernel itself; or, a fix in the generic MXNet GPU kernel launch function could do the trick as well.

I will look into it tomorrow and update my answer when the problem is fixed.

edit: The issue has been addressed and resolved: https://github.com/dmlc/mshadow/pull/277

Source https://stackoverflow.com/questions/45448677

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

Vulnerabilities

No vulnerabilities reported

Install mshadow

You can download it from GitHub.

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 .

Find more information at: