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Aug 13, 2018
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How to disable MKL-DNN optimization for tensroflow. #348

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Add documentation about how to disable MKL-DNN optimization for tensr…
nadiaya Aug 13, 2018
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Merge branch 'master' into tf-mkl
nadiaya Aug 13, 2018
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17 changes: 17 additions & 0 deletions src/sagemaker/tensorflow/README.rst
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Expand Up @@ -826,6 +826,23 @@ If your TFRecords are compressed, you can train on Gzipped TF Records by passing
You can learn more about ``PipeModeDataset`` in the sagemaker-tensorflow-extensions repository: https://github.com/aws/sagemaker-tensorflow-extensions


Training with MKL-DNN disabled
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

SageMaker TensorFlow CPU images use TensorFlow built with Intel® MKL-DNN optimization.

In certain cases you might be able to get a better performance by disabling this optimization
(`for example when using small models <https://github.com/awslabs/amazon-sagemaker-examples/blob/d88d1c19861fb7733941969f5a68821d9da2982e/sagemaker-python-sdk/tensorflow_iris_dnn_classifier_using_estimators/iris_dnn_classifier.py#L7-L9>`_)

You can disable MKL-DNN optimization for TensorFlow ``1.8.0`` by setting two following environment variables:

.. code:: python

import os

os.environ['TF_DISABLE_MKL'] = '1'
os.environ['TF_DISABLE_POOL_ALLOCATOR'] = '1'


SageMaker TensorFlow Docker containers
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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