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.
Metadata
Release files for nvidia-dali-tf-plugin-nightly-cuda110 1.37.0.dev20240322
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| nvidia_dali_tf_plugin_nightly_cuda110-1.37.0.dev20240322.tar.gz | 1.5 kB | Without provenance | Details for nvidia_dali_tf_plugin_nightly_cuda110-1.37.0.dev20240322.tar.gz |
Release files / nvidia_dali_tf_plugin_nightly_cuda110-1.37.0.dev20240322.tar.gz
| Download URL | nvidia_dali_tf_plugin_nightly_cuda110-1.37.0.dev20240322.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eb9eb960212b2e1789bba8979ba02d0568c3e23e9b41d7dc5c01c19c3388ded3
|
|
BLAKE2b-256 checksum How to use checksums |
3c4291fc087fda8c385601a2cb704774491dc4fafcfe06a2ffeca968cc32ffab
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.10.0 readme-renderer/43.0 requests/2.31.0 requests-toolbelt/1.0.0 urllib3/2.2.1 tqdm/4.66.2 importlib-metadata/7.0.2 keyring/24.3.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
|
Security for nvidia-dali-tf-plugin-nightly-cuda110 1.37.0.dev20240322
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.
