nvidia-dali-cuda110

v1.37.1

NVIDIA DALI for CUDA 11.0. Git SHA: d1685acebd5c41743cab0e15890660130e0276ce For more information about how to use this package see README

Latest version published 10 days ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

81 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

Popularity

Recognized

GitHub Stars: 4.93K
Forks: 603
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nvidia-dali-cuda110, we found that it has been starred 4,931 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 7, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 178
Open PR: 35
Last Release: 10 days ago
Last Commit: 1 day ago

Further analysis of the maintenance status of nvidia-dali-cuda110 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that nvidia-dali-cuda110 demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 90
Funding: No

With more than 10 contributors for the nvidia-dali-cuda110 repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like nvidia-dali-cuda110 is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.13,>=3.8

Age: 4 years
Latest Release: 10 days ago
Dependencies: 1 Direct
Versions: 24
Maintainers: 1
Wheels: No

Readme

NVIDIA DALI

The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built in data loaders and data iterators in popular deep learning frameworks.

Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference.

DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. Features such as prefetching, parallel execution, and batch processing are handled transparently for the user.

In addition, the deep learning frameworks have multiple data pre-processing implementations, resulting in challenges such as portability of training and inference workflows, and code maintainability. Data processing pipelines implemented using DALI are portable because they can easily be retargeted to TensorFlow, PyTorch, MXNet and PaddlePaddle.

For more details please check the latest DALI Documentation.

nvidia-dali-cuda110 dependencies

dm-tree

FAQs

What is nvidia-dali-cuda110?

NVIDIA DALI for CUDA 11.0. Git SHA: d1685acebd5c41743cab0e15890660130e0276ce. Visit Snyk Advisor to see a full health score report for nvidia-dali-cuda110, including popularity, security, maintenance & community analysis.

Is nvidia-dali-cuda110 popular?

The python package nvidia-dali-cuda110 receives a total of 3,964 weekly downloads. As such, nvidia-dali-cuda110 popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nvidia-dali-cuda110 well maintained?

We found that nvidia-dali-cuda110 demonstrated a healthy version release cadence and project activity. It has a community of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is nvidia-dali-cuda110 safe to use?

The python package nvidia-dali-cuda110 was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 17 May-2024, at 02:32 (UTC).

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