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      1 # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
      2 #
      3 # Licensed under the Apache License, Version 2.0 (the "License");
      4 # you may not use this file except in compliance with the License.
      5 # You may obtain a copy of the License at
      6 #
      7 #     http://www.apache.org/licenses/LICENSE-2.0
      8 #
      9 # Unless required by applicable law or agreed to in writing, software
     10 # distributed under the License is distributed on an "AS IS" BASIS,
     11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 # See the License for the specific language governing permissions and
     13 # limitations under the License.
     14 # ==============================================================================
     15 """Tests for IdentityNOp."""
     16 
     17 from __future__ import absolute_import
     18 from __future__ import division
     19 from __future__ import print_function
     20 
     21 import numpy as np
     22 
     23 from tensorflow.python.framework import constant_op
     24 from tensorflow.python.ops import array_ops
     25 from tensorflow.python.platform import test
     26 
     27 
     28 class IdentityNOpTest(test.TestCase):
     29 
     30   def testInt32String_6(self):
     31     with self.test_session() as sess:
     32       [value0, value1] = sess.run(
     33           array_ops.identity_n([[1, 2, 3, 4, 5, 6],
     34                                 [b"a", b"b", b"C", b"d", b"E", b"f", b"g"]]))
     35     self.assertAllEqual(np.array([1, 2, 3, 4, 5, 6]), value0)
     36     self.assertAllEqual(
     37         np.array([b"a", b"b", b"C", b"d", b"E", b"f", b"g"]), value1)
     38 
     39   def testInt32_shapes(self):
     40     with self.test_session() as sess:
     41       inp0 = constant_op.constant([10, 20, 30, 40, 50, 60], shape=[2, 3])
     42       inp1 = constant_op.constant([11, 21, 31, 41, 51, 61], shape=[3, 2])
     43       inp2 = constant_op.constant(
     44           [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], shape=[5, 3])
     45       [value0, value1,
     46        value2] = sess.run(array_ops.identity_n([inp0, inp1, inp2]))
     47     self.assertAllEqual(np.array([[10, 20, 30], [40, 50, 60]]), value0)
     48     self.assertAllEqual(np.array([[11, 21], [31, 41], [51, 61]]), value1)
     49     self.assertAllEqual(
     50         np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13, 14, 15]]),
     51         value2)
     52 
     53   def testString(self):
     54     source = [b"A", b"b", b"C", b"d", b"E", b"f"]
     55     with self.test_session() as sess:
     56       [value] = sess.run(array_ops.identity_n([source]))
     57     self.assertAllEqual(source, value)
     58 
     59   def testIdentityShape(self):
     60     with self.test_session():
     61       shape = [2, 3]
     62       array_2x3 = [[1, 2, 3], [6, 5, 4]]
     63       tensor = constant_op.constant(array_2x3)
     64       self.assertEquals(shape, tensor.get_shape())
     65       self.assertEquals(shape, array_ops.identity_n([tensor])[0].get_shape())
     66       self.assertEquals(shape, array_ops.identity_n([array_2x3])[0].get_shape())
     67 
     68 
     69 if __name__ == "__main__":
     70   test.main()
     71