Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/platform/test.py: 67%
51 statements
« prev ^ index » next coverage.py v7.4.0, created at 2024-01-03 07:57 +0000
« prev ^ index » next coverage.py v7.4.0, created at 2024-01-03 07:57 +0000
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# ==============================================================================
16"""Testing."""
19# pylint: disable=g-bad-import-order
20from tensorflow.python.framework import test_util as _test_util
21from tensorflow.python.platform import googletest as _googletest
23# pylint: disable=unused-import
24from tensorflow.python.framework.test_util import assert_equal_graph_def
25from tensorflow.python.framework.test_util import create_local_cluster
26from tensorflow.python.framework.test_util import TensorFlowTestCase as TestCase
27from tensorflow.python.framework.test_util import gpu_device_name
28from tensorflow.python.framework.test_util import is_gpu_available
30from tensorflow.python.ops.gradient_checker import compute_gradient_error
31from tensorflow.python.ops.gradient_checker import compute_gradient
32# pylint: enable=unused-import,g-bad-import-order
34import functools
36import sys
37from tensorflow.python.util.tf_export import tf_export
38if sys.version_info.major == 2:
39 import mock # pylint: disable=g-import-not-at-top,unused-import
40else:
41 from unittest import mock # pylint: disable=g-import-not-at-top,g-importing-member
43tf_export(v1=['test.mock'])(mock)
45# Import Benchmark class
46Benchmark = _googletest.Benchmark # pylint: disable=invalid-name
48# Import StubOutForTesting class
49StubOutForTesting = _googletest.StubOutForTesting # pylint: disable=invalid-name
52@tf_export('test.main')
53def main(argv=None):
54 """Runs all unit tests."""
55 _test_util.InstallStackTraceHandler()
56 return _googletest.main(argv)
59@tf_export(v1=['test.get_temp_dir'])
60def get_temp_dir():
61 """Returns a temporary directory for use during tests.
63 There is no need to delete the directory after the test.
65 @compatibility(TF2)
66 This function is removed in TF2. Please use `TestCase.get_temp_dir` instead
67 in a test case.
68 Outside of a unit test, obtain a temporary directory through Python's
69 `tempfile` module.
70 @end_compatibility
72 Returns:
73 The temporary directory.
74 """
75 return _googletest.GetTempDir()
78@tf_export(v1=['test.test_src_dir_path'])
79def test_src_dir_path(relative_path):
80 """Creates an absolute test srcdir path given a relative path.
82 Args:
83 relative_path: a path relative to tensorflow root.
84 e.g. "core/platform".
86 Returns:
87 An absolute path to the linked in runfiles.
88 """
89 return _googletest.test_src_dir_path(relative_path)
92@tf_export('test.is_built_with_cuda')
93def is_built_with_cuda():
94 """Returns whether TensorFlow was built with CUDA (GPU) support.
96 This method should only be used in tests written with `tf.test.TestCase`. A
97 typical usage is to skip tests that should only run with CUDA (GPU).
99 >>> class MyTest(tf.test.TestCase):
100 ...
101 ... def test_add_on_gpu(self):
102 ... if not tf.test.is_built_with_cuda():
103 ... self.skipTest("test is only applicable on GPU")
104 ...
105 ... with tf.device("GPU:0"):
106 ... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
108 TensorFlow official binary is built with CUDA.
109 """
110 return _test_util.IsGoogleCudaEnabled()
113@tf_export('test.is_built_with_rocm')
114def is_built_with_rocm():
115 """Returns whether TensorFlow was built with ROCm (GPU) support.
117 This method should only be used in tests written with `tf.test.TestCase`. A
118 typical usage is to skip tests that should only run with ROCm (GPU).
120 >>> class MyTest(tf.test.TestCase):
121 ...
122 ... def test_add_on_gpu(self):
123 ... if not tf.test.is_built_with_rocm():
124 ... self.skipTest("test is only applicable on GPU")
125 ...
126 ... with tf.device("GPU:0"):
127 ... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
129 TensorFlow official binary is NOT built with ROCm.
130 """
131 return _test_util.IsBuiltWithROCm()
134@tf_export('test.disable_with_predicate')
135def disable_with_predicate(pred, skip_message):
136 """Disables the test if pred is true."""
138 def decorator_disable_with_predicate(func):
140 @functools.wraps(func)
141 def wrapper_disable_with_predicate(self, *args, **kwargs):
142 if pred():
143 self.skipTest(skip_message)
144 else:
145 return func(self, *args, **kwargs)
147 return wrapper_disable_with_predicate
149 return decorator_disable_with_predicate
152@tf_export('test.is_built_with_gpu_support')
153def is_built_with_gpu_support():
154 """Returns whether TensorFlow was built with GPU (CUDA or ROCm) support.
156 This method should only be used in tests written with `tf.test.TestCase`. A
157 typical usage is to skip tests that should only run with GPU.
159 >>> class MyTest(tf.test.TestCase):
160 ...
161 ... def test_add_on_gpu(self):
162 ... if not tf.test.is_built_with_gpu_support():
163 ... self.skipTest("test is only applicable on GPU")
164 ...
165 ... with tf.device("GPU:0"):
166 ... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
168 TensorFlow official binary is built with CUDA GPU support.
169 """
170 return is_built_with_cuda() or is_built_with_rocm()
173@tf_export('test.is_built_with_xla')
174def is_built_with_xla():
175 """Returns whether TensorFlow was built with XLA support.
177 This method should only be used in tests written with `tf.test.TestCase`. A
178 typical usage is to skip tests that should only run with XLA.
180 >>> class MyTest(tf.test.TestCase):
181 ...
182 ... def test_add_on_xla(self):
183 ... if not tf.test.is_built_with_xla():
184 ... self.skipTest("test is only applicable on XLA")
186 ... @tf.function(jit_compile=True)
187 ... def add(x, y):
188 ... return tf.math.add(x, y)
189 ...
190 ... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)
192 TensorFlow official binary is built with XLA.
193 """
194 return _test_util.IsBuiltWithXLA()