# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

"""Functions for downloading and reading MNIST data."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf

mnist = input_data.read_data_sets("MNIST_data2/", one_hot=True)
sess = tf.InteractiveSession()

# import gzip
# import os
# import tempfile
#
# import numpy
# # from six.moves import urllib
# from six.moves import urllib
# from six.moves import xrange
# import tensorflow as tf
# from tensorflow.contrib.learn.python.learn.datasets.mnist import read_data_sets
# mnist = read_data_sets("MNIST_data/",one_hot=True)

6fa3cdd293a9b5048760446e40b6e414a778587e
<mask token>

<mask token>
mnist = input_data.read_data_sets('MNIST_data2/', one_hot=True)
sess = tf.InteractiveSession()

<mask token>
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
mnist = input_data.read_data_sets('MNIST_data2/', one_hot=True)
sess = tf.InteractiveSession()

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

"""Functions for downloading and reading MNIST data."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf

mnist = input_data.read_data_sets("MNIST_data2/", one_hot=True)
sess = tf.InteractiveSession()

# import gzip
# import os
# import tempfile
#
# import numpy
# # from six.moves import urllib
# from six.moves import urllib
# from six.moves import xrange
# import tensorflow as tf
# from tensorflow.contrib.learn.python.learn.datasets.mnist import read_data_sets
# mnist = read_data_sets("MNIST_data/",one_hot=True)
