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GTC On-Demand

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Abstract:
Many computer vision applications powered by deep learning include multi-stage pre-processing data pipelines with compute-intensive processes like decoding, cropping, and format conversion that are carried out on CPUs. We'll discuss NVIDIA DALI, an open source, GPU-Accelerated data augmentation and image-loading library for optimizing data pipelines of deep learning frameworks. DALI provides a full pre- and post-processing data pipeline ready for training and inference. We'll demonstrate a TensorRT inference workflow within DALI-configurable graphs as well as custom operators.
Many computer vision applications powered by deep learning include multi-stage pre-processing data pipelines with compute-intensive processes like decoding, cropping, and format conversion that are carried out on CPUs. We'll discuss NVIDIA DALI, an open source, GPU-Accelerated data augmentation and image-loading library for optimizing data pipelines of deep learning frameworks. DALI provides a full pre- and post-processing data pipeline ready for training and inference. We'll demonstrate a TensorRT inference workflow within DALI-configurable graphs as well as custom operators.  Back
 
Topics:
AI Application Deployment and Inference, Deep Learning and AI Frameworks
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9818
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