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Tensor Cores and deep learning

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Dear all
I have a GeForce RTX 2060. How can I take advantage of its 240 tensor cores for deep learning? I have read that I should set the precision to FP16, but using the "trainnetwork" function there does not seem to be any option.
Thank you

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Carpenter86
Carpenter86 on 5 Sep 2019
Great question! I have the same one. Did you find any answer?

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Accepted Answer

Krishna Bindumadhavan
Krishna Bindumadhavan on 14 Sep 2019
Edited: Krishna Bindumadhavan on 14 Sep 2019
Currently, there is no support for training a neural network with half precision data type. This is expected in a future release.
You can however take advantage of tensor cores, while generating code for deploying a trained neural network with GPU Coder. You can look at Deep Learning Prediction with NVIDIA TensorRT example , but set the DataType property of the DeepLearningConfig to 'fp16'. This will use the Tensor cores on a Volta or Turing card such as the RTX series for inference.
In addition, MATLAB supports the half data type via the half precision object in the fixed point designer toolbox: https://www.mathworks.com/help/fixedpoint/ref/half.html?s_tid=doc_ta. General code generation support for the half type, via MATLAB Coder and GPU coder is under active development and can be expected in an upcoming release.

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