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GTC ON-DEMAND

AI & Deep Learning Research
Presentation
Media
Training Neural Networks with Mixed Precision: Real Examples
Abstract:
We will cover the techniques for training DNNs with Tensor Cores described in "S8923 - Training Neural Networks with Mixed Precision: Theory and Practice". These methods were introduced for AI processing with the Volta GPU architecture. Tensor Cores provide up to 120 TFlops throughput, mixing operations on IEEE half- and single-precision floats. Techniques used will include loss-scaling, master weights copy, and choosing the proper precision for a given operation. For each of TensorFlow and PyTorch we will describe a fp32 network definition and then demonstrate the same network using mixed precision techniques.
 
Topics:
AI & Deep Learning Research, Algorithms & Numerical Techniques
Type:
Tutorial
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S81012
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