# Copyright 2015 Google Inc. 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.

# ==============================================================================

"""Functional test for slot_creator."""

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function

import tensorflow as tf

from tensorflow.python.training import slot_creator

class SlotCreatorTest(tf.test.TestCase):

def testCreateSlotFromVariable(self):

with self.test_session():

v = tf.Variable([1.0, 2.5], name="var")

slot = slot_creator.create_slot(v, v.initialized_value(), name="slot")

tf.initialize_all_variables().run()

self.assertEqual(slot.op.name, "var/slot")

self.assertEqual(slot.get_shape().as_list(), [2])

self.assertEqual(slot.dtype.base_dtype, tf.float32)

self.assertAllEqual(slot.eval(), [1.0, 2.5])

def testCreateSlotFromTensor(self):

with self.test_session():

v = tf.constant([1.0, 2.5], name="const")

slot = slot_creator.create_slot(v, v * 2, name="slot")

tf.initialize_all_variables().run()

self.assertEqual(slot.op.name, "const/slot")

self.assertEqual(slot.get_shape().as_list(), [2])

self.assertEqual(slot.dtype.base_dtype, tf.float32)

self.assertAllEqual(slot.eval(), [2.0, 5.0])

def testCreateZerosSlotFromVariable(self):

with self.test_session():

v = tf.Variable([1.0, 2.5], name="var")

with tf.control_dependencies(None):

slot = slot_creator.create_zeros_slot(v, name="slot", dtype=tf.float64)

tf.initialize_all_variables().run()

self.assertEqual(slot.op.name, "var/slot")

self.assertEqual(slot.get_shape().as_list(), [2])

self.assertEqual(slot.dtype.base_dtype, tf.float64)

self.assertAllEqual(slot.eval(), [0.0, 0.0])

def testCreateZerosSlotFromTensor(self):

with self.test_session():

v = tf.constant([1.0, 2.5], name="const")

with tf.control_dependencies(None):

slot = slot_creator.create_zeros_slot(v, name="slot")

tf.initialize_all_variables().run()

self.assertEqual(slot.op.name, "const/slot")

self.assertEqual(slot.get_shape().as_list(), [2])

self.assertEqual(slot.dtype.base_dtype, tf.float32)

self.assertAllEqual(slot.eval(), [0.0, 0.0])

if __name__ == "__main__":

tf.test.main()