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# 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.
# ==============================================================================
# pylint: disable=unused-import
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
class PrettyPrintOpsTest(tf.test.TestCase):
def testPrintTensorPassthrough(self):
a = tf.constant([1])
a = tf.contrib.framework.print_op(a)
with self.test_session():
self.assertEqual(a.eval(), tf.constant([1]).eval())
def testPrintSparseTensorPassthrough(self):
a = tf.SparseTensor(
indices=[[0, 0], [1, 2]], values=[1, 2], dense_shape=[3, 4])
b = tf.SparseTensor(
indices=[[0, 0], [1, 2]], values=[1, 2], dense_shape=[3, 4])
a = tf.contrib.framework.print_op(a)
with self.test_session():
self.assertAllEqual(tf.sparse_tensor_to_dense(a).eval(),
tf.sparse_tensor_to_dense(b).eval())
def testPrintTensorArrayPassthrough(self):
a = tf.TensorArray(size=2, dtype=tf.int32, clear_after_read=False)
a = a.write(1, 1)
a = a.write(0, 0)
a = tf.contrib.framework.print_op(a)
with self.test_session():
self.assertAllEqual(a.pack().eval(), tf.constant([0, 1]).eval())
def testPrintVariable(self):
a = tf.Variable(1.0)
a = tf.contrib.framework.print_op(a)
with self.test_session():
tf.global_variables_initializer().run()
a.eval()
if __name__ == "__main__":
tf.test.main()
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