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test.py
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test.py
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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.
# ==============================================================================
"""Testing."""
import functools
from unittest import mock
# pylint: disable=g-bad-import-order
from tensorflow.python.framework import test_util as _test_util
from tensorflow.python.platform import googletest as _googletest
# pylint: disable=unused-import
from tensorflow.python.framework.test_util import assert_equal_graph_def
from tensorflow.python.framework.test_util import create_local_cluster
from tensorflow.python.framework.test_util import TensorFlowTestCase as TestCase
from tensorflow.python.framework.test_util import gpu_device_name
from tensorflow.python.framework.test_util import is_gpu_available
from tensorflow.python.ops.gradient_checker import compute_gradient_error
from tensorflow.python.ops.gradient_checker import compute_gradient
# pylint: enable=unused-import,g-bad-import-order
from tensorflow.python.util.tf_export import tf_export
tf_export(v1=['test.mock'])(mock)
# Import Benchmark class
Benchmark = _googletest.Benchmark # pylint: disable=invalid-name
# Import StubOutForTesting class
StubOutForTesting = _googletest.StubOutForTesting # pylint: disable=invalid-name
@tf_export('test.main')
def main(argv=None):
"""Runs all unit tests."""
_test_util.InstallStackTraceHandler()
return _googletest.main(argv)
@tf_export(v1=['test.get_temp_dir'])
def get_temp_dir():
"""Returns a temporary directory for use during tests.
There is no need to delete the directory after the test.
@compatibility(TF2)
This function is removed in TF2. Please use `TestCase.get_temp_dir` instead
in a test case.
Outside of a unit test, obtain a temporary directory through Python's
`tempfile` module.
@end_compatibility
Returns:
The temporary directory.
"""
return _googletest.GetTempDir()
@tf_export(v1=['test.test_src_dir_path'])
def test_src_dir_path(relative_path):
"""Creates an absolute test srcdir path given a relative path.
Args:
relative_path: a path relative to tensorflow root.
e.g. "core/platform".
Returns:
An absolute path to the linked in runfiles.
"""
return _googletest.test_src_dir_path(relative_path)
@tf_export('test.is_built_with_cuda')
def is_built_with_cuda():
"""Returns whether TensorFlow was built with CUDA (GPU) support.
This method should only be used in tests written with `tf.test.TestCase`. A
typical usage is to skip tests that should only run with CUDA (GPU).
>>> class MyTest(tf.test.TestCase):
...
... def test_add_on_gpu(self):
... if not tf.test.is_built_with_cuda():
... self.skipTest("test is only applicable on GPU")
...
... with tf.device("GPU:0"):
... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
TensorFlow official binary is built with CUDA.
"""
return _test_util.IsGoogleCudaEnabled()
@tf_export('test.is_built_with_rocm')
def is_built_with_rocm():
"""Returns whether TensorFlow was built with ROCm (GPU) support.
This method should only be used in tests written with `tf.test.TestCase`. A
typical usage is to skip tests that should only run with ROCm (GPU).
>>> class MyTest(tf.test.TestCase):
...
... def test_add_on_gpu(self):
... if not tf.test.is_built_with_rocm():
... self.skipTest("test is only applicable on GPU")
...
... with tf.device("GPU:0"):
... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
TensorFlow official binary is NOT built with ROCm.
"""
return _test_util.IsBuiltWithROCm()
@tf_export('test.disable_with_predicate')
def disable_with_predicate(pred, skip_message):
"""Disables the test if pred is true."""
def decorator_disable_with_predicate(func):
@functools.wraps(func)
def wrapper_disable_with_predicate(self, *args, **kwargs):
if pred():
self.skipTest(skip_message)
else:
return func(self, *args, **kwargs)
return wrapper_disable_with_predicate
return decorator_disable_with_predicate
@tf_export('test.is_built_with_gpu_support')
def is_built_with_gpu_support():
"""Returns whether TensorFlow was built with GPU (CUDA or ROCm) support.
This method should only be used in tests written with `tf.test.TestCase`. A
typical usage is to skip tests that should only run with GPU.
>>> class MyTest(tf.test.TestCase):
...
... def test_add_on_gpu(self):
... if not tf.test.is_built_with_gpu_support():
... self.skipTest("test is only applicable on GPU")
...
... with tf.device("GPU:0"):
... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
TensorFlow official binary is built with CUDA GPU support.
"""
return is_built_with_cuda() or is_built_with_rocm()
@tf_export('test.is_built_with_xla')
def is_built_with_xla():
"""Returns whether TensorFlow was built with XLA support.
This method should only be used in tests written with `tf.test.TestCase`. A
typical usage is to skip tests that should only run with XLA.
>>> class MyTest(tf.test.TestCase):
...
... def test_add_on_xla(self):
... if not tf.test.is_built_with_xla():
... self.skipTest("test is only applicable on XLA")
... @tf.function(jit_compile=True)
... def add(x, y):
... return tf.math.add(x, y)
...
... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)
TensorFlow official binary is built with XLA.
"""
return _test_util.IsBuiltWithXLA()