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 tf.bitcast."""
16
17from __future__ import absolute_import
18from __future__ import division
19from __future__ import print_function
20
21import numpy as np
22
23from tensorflow.python.framework import dtypes
24from tensorflow.python.framework import test_util
25from tensorflow.python.ops import array_ops
26from tensorflow.python.platform import test
27
28
29class BitcastTest(test.TestCase):
30
31  def _testBitcast(self, x, datatype, shape):
32    with test_util.use_gpu():
33      tf_ans = array_ops.bitcast(x, datatype)
34      out = self.evaluate(tf_ans)
35      buff_after = memoryview(out).tobytes()
36      buff_before = memoryview(x).tobytes()
37      self.assertEqual(buff_before, buff_after)
38      self.assertEqual(tf_ans.get_shape(), shape)
39      self.assertEqual(tf_ans.dtype, datatype)
40
41  def testSmaller(self):
42    x = np.random.rand(3, 2)
43    datatype = dtypes.int8
44    shape = [3, 2, 8]
45    self._testBitcast(x, datatype, shape)
46
47  def testLarger(self):
48    x = np.arange(16, dtype=np.int8).reshape([4, 4])
49    datatype = dtypes.int32
50    shape = [4]
51    self._testBitcast(x, datatype, shape)
52
53  def testSameDtype(self):
54    x = np.random.rand(3, 4)
55    shape = [3, 4]
56    self._testBitcast(x, x.dtype, shape)
57
58  def testSameSize(self):
59    x = np.random.rand(3, 4)
60    shape = [3, 4]
61    self._testBitcast(x, dtypes.int64, shape)
62
63  @test_util.run_deprecated_v1
64  def testErrors(self):
65    x = np.zeros([1, 1], np.int8)
66    datatype = dtypes.int32
67    with self.assertRaisesRegexp(ValueError, "Cannot bitcast due to shape"):
68      array_ops.bitcast(x, datatype, None)
69
70  def testEmpty(self):
71    x = np.ones([], np.int32)
72    datatype = dtypes.int8
73    shape = [4]
74    self._testBitcast(x, datatype, shape)
75
76  @test_util.run_deprecated_v1
77  def testUnknown(self):
78    x = array_ops.placeholder(dtypes.float32)
79    datatype = dtypes.int8
80    array_ops.bitcast(x, datatype, None)
81
82  def testQuantizedType(self):
83    shape = [3, 4]
84    x = np.zeros(shape, np.uint16)
85    datatype = dtypes.quint16
86    self._testBitcast(x, datatype, shape)
87
88  def testUnsignedType(self):
89    shape = [3, 4]
90    x = np.zeros(shape, np.int64)
91    datatype = dtypes.uint64
92    self._testBitcast(x, datatype, shape)
93
94
95if __name__ == "__main__":
96  test.main()
97