cudarray | based NumPyDrop-in replacement for NumPy | GPU library

by andersbll Python Version: Current License: MIT

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

kandi X-RAY | cudarray Summary

cudarray is a Python library typically used in Hardware, GPU, Numpy applications. cudarray has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

CUDA-based NumPy

Support

Quality

Security

License

Reuse

Support

cudarray has a low active ecosystem.

It has 230 star(s) with 59 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 44 open issues and 31 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cudarray is current.

Quality

cudarray has 0 bugs and 0 code smells.

Security

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

cudarray code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cudarray 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

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Run the CNN
Returns True if two arrays are equal
Calculate average running time
Benchmark preprocessing
Calculate the categorical cross entropy
Perform a unary operation on x
Clip an array
Matrix product of two arrays
Calculate the shape of two arrays
Compute the inner product of two arrays
Remove cuda extensions
Extract a list of numpy extensions
Softplus function
Copy result to out
Inverse of sigmoid_d
Create an array of ones
Reluative D
Softplus D
Find all CUDA extensions
List of numpy extension extensions
Decode one - hot encoded array
One - hot encode labels
Rescale images
Create a new empty array

Get all kandi verified functions for this library.

cudarray Key Features

No Key Features are available at this moment for cudarray.

cudarray Examples and Code Snippets

No Code Snippets are available at this moment for cudarray.

Community Discussions

Trending Discussions on cudarray

arrayobject.h not found while compiling swig output

QUESTION

arrayobject.h not found while compiling swig output

Asked 2017-Sep-22 at 10:40

I found many similar questions people had problem with this file. I know where the header file is and I address the g++ with -I, as people usually answered to previous questions. I did all of them, but they did not worked.1,2

...

ANSWER

Answered 2017-Sep-22 at 10:40

You passed -I /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy, but SWIG is expecting you to stop at "include" since it's looking for numpy/arrayobject.h.

Source https://stackoverflow.com/questions/46362651

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

Vulnerabilities

No vulnerabilities reported

Install cudarray

First, you should consider specifying the following environment variables. Then build and install libcudarray with.
INSTALL_PREFIX (default: /usr/local). Path where to install libcudarray. For the Anaconda Python distribution this should be /path/to/anaconda.
CUDA_PREFIX (default: /usr/local/cuda). Path to the CUDA SDK organized in bin/, lib/, include/ folders.
CUDNN_ENABLED. Set CUDNN_ENABLED to 1 to include cuDNN operations in libcudarray.