MNIST data for Slurm cluster without internet connectivity on processing nodes

mnist_data.py

import pickle
from tensorflow import keras

# Compute nodes don't have internet, so download in advance and pickle the
# image training data

# adapted from https://www.tensorflow.org/tutorials/keras/basic_classification
# see notes there for how to actually work things

fashion_mnist = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = \
    fashion_mnist.load_data()

with open('mnist.pickle', 'wb') as fp:
     pickle.dump((train_images, train_labels, test_images, test_labels), fp)


#@title MIT License
#
# Copyright (c) 2017 François Chollet
# Adaptation for Slurm use (c) 2018 Benjamin Hicks
#
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# Software is furnished to do so, subject to the following conditions:
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# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
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