Skip to main content

NVIDIA DALI nightly TensorFlow plugin for CUDA 11.0. Git SHA: 814d004e7bfa12edc17f12461fa234b3b7c13bed

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

File details

Details for the file nvidia_dali_tf_plugin_nightly_cuda110-1.39.0.dev20240524.tar.gz.

File metadata

File hashes

Hashes for nvidia_dali_tf_plugin_nightly_cuda110-1.39.0.dev20240524.tar.gz
Algorithm Hash digest
SHA256 eba1e6245c590334dbaf0cf9eb5e90fe9052c5ca706d5ec8e64a8153ad1ef6ba
MD5 2819598361292c78987b3b420ce02762
BLAKE2b-256 ed007daa4bae0dac2c006d34d522a19587dcbccb529c7d88421de47b15d25bdd

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page