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Provided the latest updates of Nvidia Mixed Precision Training Updates

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nvidia_mixed_precision_training

Provide the latest Nvidia mixed-precision training resources/references/samples.
Any issue pls contact [email protected]

General resources

New mixed-precision model examples:
https://developer.nvidia.com/deep-learning-examples

Mixed-precision blog:
https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/

Mixed-precision best practices:
https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html

DGX/NGC deep learning framework containers - Latest versions of our software stack and Tensor core optimized examples:
https://www.nvidia.com/en-us/gpu-cloud/deep-learning-containers/

GTC 2018 Sessions:
Training Neural Networks with Mixed Precision
Theory and Practice and Training Neural Networks with Mixed Precision: Real Examples



Updates 07/30/2018:

  1. OpenSeq2Seq toolkit
    Code repo: https://github.com/NVIDIA/OpenSeq2Seq
    Paper: https://arxiv.org/abs/1805.10387
  2. Tensorflow recently added mixed-precision loss scaling code
    https://www.tensorflow.org/api_docs/python/tf/contrib/mixed_precision
  3. Nvidia RN50 example uses horovod for multi-node and mixed-precision
    https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/imagenet

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