Skip to main content

NVIDIA DALI for CUDA 11.0. Git SHA: 4562f157a203bd17a1dbc9a0b07f05ba3a41c1fb

Project description

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


Download files

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

Source Distribution

nvidia_dali_cuda110-1.43.0.tar.gz (1.5 kB view details)

Uploaded Source

File details

Details for the file nvidia_dali_cuda110-1.43.0.tar.gz.

File metadata

  • Download URL: nvidia_dali_cuda110-1.43.0.tar.gz
  • Upload date:
  • Size: 1.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for nvidia_dali_cuda110-1.43.0.tar.gz
Algorithm Hash digest
SHA256 8a3a05d12e857f44a2b280b0b68dc24d46721a03d96bb2e64be0ca13e2546ccf
MD5 7a1e867810e81a1e8efda4224e10b2cd
BLAKE2b-256 3620e5f25f220e09c35c262d89802985555e5da9a391e252062aba1fd4fa51a6

See more details on using hashes here.

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