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# Make TFGAN models and TF-Slim models discoverable.

import sys

import os

# This is needed since the notebook is stored in the `tensorflow/models/gan` folder.

sys.path.append('..')

sys.path.append(os.path.join('..', 'slim'))

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function



%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

import time

import functools

from six.moves import xrange  # pylint: disable=redefined-builtin



import tensorflow as tf



# Main TFGAN library.

tfgan = tf.contrib.gan



# TFGAN MNIST examples from `tensorflow/models`.

from mnist import data_provider

from mnist import util

ImportError: No module named 'mnist'

# Make TFGAN models and TF-Slim models discoverable.

import sys

import os

# This is needed since the notebook is stored in the `tensorflow/models/gan` folder.

sys.path.append('..')

sys.path.append(os.path.join('..', 'slim'))

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function



%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

import time

import functools

from six.moves import xrange  # pylint: disable=redefined-builtin



import tensorflow as tf



# Main TFGAN library.

tfgan = tf.contrib.gan



# TFGAN MNIST examples from `tensorflow/models`.

from mnist import data_provider

from mnist import util

ImportError: No module named 'mnist'

# Make TFGAN models and TF-Slim models discoverable.

import sys

import os

# This is needed since the notebook is stored in the `tensorflow/models/gan` folder.

sys.path.append('..')

sys.path.append(os.path.join('..', 'slim'))

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function



%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

import time

import functools

from six.moves import xrange  # pylint: disable=redefined-builtin



import tensorflow as tf



# Main TFGAN library.

tfgan = tf.contrib.gan



# TFGAN MNIST examples from `tensorflow/models`.

from mnist import data_provider

from mnist import util

ImportError: No module named 'mnist'

# Make TFGAN models and TF-Slim models discoverable.

import sys

import os

# This is needed since the notebook is stored in the `tensorflow/models/gan` folder.

sys.path.append('..')

sys.path.append(os.path.join('..', 'slim'))

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function



%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

import time

import functools

from six.moves import xrange  # pylint: disable=redefined-builtin



import tensorflow as tf



# Main TFGAN library.

tfgan = tf.contrib.gan



# TFGAN MNIST examples from `tensorflow/models`.

from mnist import data_provider

from mnist import util

ImportError: No module named 'mnist'

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