Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

TensorFlow plugin for NVIDIA DALI

The TensorFlow plugin enables usage of DALI with TensorFlow.

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.

DALI Diagram

Metadata

Release files for nvidia-dali-tf-plugin-nightly-cuda120 1.42.0.dev20240910

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nvidia-dali-tf-plugin-nightly-cuda120 1.42.0.dev20240910
File Size Uploaded Provenance Actions
nvidia_dali_tf_plugin_nightly_cuda120-1.42.0.dev20240910.tar.gz 1.5 kB Without provenance Details for nvidia_dali_tf_plugin_nightly_cuda120-1.42.0.dev20240910.tar.gz

Release files / nvidia_dali_tf_plugin_nightly_cuda120-1.42.0.dev20240910.tar.gz

Download URL nvidia_dali_tf_plugin_nightly_cuda120-1.42.0.dev20240910.tar.gz
Size 1.5 kB
Tags Source
SHA-256 checksum
How to use checksums
abaca23e6e15dec495a38e09c337175c9693affb9b019b2b240c3d0aa70ff759
BLAKE2b-256 checksum
How to use checksums
d2f77b3dc3f69f972e01d3018c2a5dc87978922f9eaab8ad88fd751ec5c66970
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.10.12

Security for nvidia-dali-tf-plugin-nightly-cuda120 1.42.0.dev20240910

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page