This is the Linux app named DALI whose latest release can be downloaded as DALIv1.23.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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DALI
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
- Easy-to-use functional style Python API
- Multiple data formats support
- Portable across popular deep learning frameworks
- Supports CPU and GPU execution
- Scalable across multiple GPUs
- Flexible graphs let developers create custom pipelines
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dali.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
