rapidsai-csp-utils | rapids-colab | GPU library

by rapidsai Shell Version: Current License: No License

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kandi X-RAY | rapidsai-csp-utils Summary

rapidsai-csp-utils is a Shell library typically used in Hardware, GPU, Deep Learning, Tensorflow applications. rapidsai-csp-utils has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

rapidsai-csp-utils

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rapidsai-csp-utils has a low active ecosystem.

It has 13 star(s) with 22 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 18 have been closed. On average issues are closed in 65 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rapidsai-csp-utils is current.

Quality

rapidsai-csp-utils has 0 bugs and 0 code smells.

Security

rapidsai-csp-utils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rapidsai-csp-utils code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rapidsai-csp-utils does not have a standard license declared.

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

Reuse

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

It has 77 lines of code, 0 functions and 2 files.

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

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Community Discussions

Trending Discussions on rapidsai-csp-utils

CUML fit functions throwing cp.full TypeError

Issue in Installing NVIDIA Rapids on Google Colab

RAPIDS in Colab AttributeError: module 'cudf' has no attribute '_lib'

QUESTION

CUML fit functions throwing cp.full TypeError

Asked 2021-May-06 at 17:13

I've been trying to run RAPIDS on Google Colab pro, and have successfully installed the cuml and cudf packages, however I am unable to run even the example scripts.

TLDR;

Anytime I try to run the fit function for cuml on Google Colab I get the following error. I get this when using the demo examples both for installation and then for cuml. This happens for a range of cuml examples (I first hit this trying to run UMAP).

...

ANSWER

Answered 2021-May-06 at 17:13

Colab retains cupy==7.4.0 despite conda installing cupy==8.6.0 during the RAPIDS install. It is a custom install. I just had success pip installing cupy-cuda110==8.6.0 BEFORE installing RAPIDS, with

!pip install cupy-cuda110==8.6.0:

I'll be updating the script soon so that you won't have to do it manually, but want to test a few more things out. Thanks again for letting us know!

EDIT: script updated.

Source https://stackoverflow.com/questions/67368715

QUESTION

Issue in Installing NVIDIA Rapids on Google Colab

Asked 2021-Mar-04 at 18:21

I'm trying to install NVIDIA Rapids on Google Colab's Tesla P-100CE using the below provided by NVIDIA.

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ANSWER

Answered 2021-Mar-04 at 18:21

We recently pushed an update that allows the most recent RAPIDS to install on Colab. You can run RAPIDS 0.18 and 0.19 now, as normal. Some changes to the install script cell may need to made, but are documented in our text printout. Try it out! :)

Source https://stackoverflow.com/questions/66390492

QUESTION

RAPIDS in Colab AttributeError: module 'cudf' has no attribute '_lib'

Asked 2020-Jun-09 at 19:44

I already install RAPIDS in Colab with no issues until I tried to import cuml library. I have fortunaly the Tesla 4 as GPU.

This is how I installed RAPIDS

...

ANSWER

Answered 2020-Jun-09 at 19:44

Thanks for sharing this. This issue was cause by an update to numba (0.48.0 -- 0.49.0) that rendered it incompatible with cudf. It was solved by this PR https://github.com/rapidsai/rapidsai-csp-utils/pull/18 which locks numba to 0.48.0 for 0.13 and below.

Source https://stackoverflow.com/questions/62206438

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

Vulnerabilities

No vulnerabilities reported

Install rapidsai-csp-utils

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