wehub-resource-sync
221 lines
6.8 KiB
Python
221 lines
6.8 KiB
Python
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Testing."""
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import functools
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from unittest import mock
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# pylint: disable=g-bad-import-order
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from tensorflow.python.framework import test_util as _test_util
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from tensorflow.python.platform import googletest as _googletest
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# pylint: disable=unused-import
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from tensorflow.python.framework.test_util import assert_equal_graph_def
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from tensorflow.python.framework.test_util import create_local_cluster
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from tensorflow.python.framework.test_util import TensorFlowTestCase as TestCase
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from tensorflow.python.framework.test_util import gpu_device_name
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from tensorflow.python.framework.test_util import is_gpu_available
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from tensorflow.python.ops.gradient_checker import compute_gradient_error
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from tensorflow.python.ops.gradient_checker import compute_gradient
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# pylint: enable=unused-import,g-bad-import-order
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from tensorflow.python.util.tf_export import tf_export
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tf_export(v1=['test.mock'])(mock)
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# Import Benchmark class
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Benchmark = _googletest.Benchmark # pylint: disable=invalid-name
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# Import StubOutForTesting class
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StubOutForTesting = _googletest.StubOutForTesting # pylint: disable=invalid-name
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@tf_export('test.main')
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def main(argv=None):
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"""Runs all unit tests."""
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_test_util.InstallStackTraceHandler()
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return _googletest.main(argv)
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@tf_export(v1=['test.get_temp_dir'])
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def get_temp_dir():
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"""Returns a temporary directory for use during tests.
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There is no need to delete the directory after the test.
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@compatibility(TF2)
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This function is removed in TF2. Please use `TestCase.get_temp_dir` instead
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in a test case.
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Outside of a unit test, obtain a temporary directory through Python's
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`tempfile` module.
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@end_compatibility
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Returns:
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The temporary directory.
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"""
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return _googletest.GetTempDir()
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@tf_export(v1=['test.test_src_dir_path'])
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def test_src_dir_path(relative_path):
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"""Creates an absolute test srcdir path given a relative path.
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Args:
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relative_path: a path relative to tensorflow root.
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e.g. "core/platform".
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Returns:
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An absolute path to the linked in runfiles.
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"""
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return _googletest.test_src_dir_path(relative_path)
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@tf_export('test.is_built_with_cuda')
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def is_built_with_cuda():
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"""Returns whether TensorFlow was built with CUDA (GPU) support.
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This method should only be used in tests written with `tf.test.TestCase`. A
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typical usage is to skip tests that should only run with CUDA (GPU).
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>>> class MyTest(tf.test.TestCase):
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...
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... def test_add_on_gpu(self):
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... if not tf.test.is_built_with_cuda():
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... self.skipTest("test is only applicable on GPU")
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...
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... with tf.device("GPU:0"):
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... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
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TensorFlow official binary is built with CUDA.
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"""
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return _test_util.IsGoogleCudaEnabled()
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@tf_export('test.is_built_with_rocm')
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def is_built_with_rocm():
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"""Returns whether TensorFlow was built with ROCm (GPU) support.
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This method should only be used in tests written with `tf.test.TestCase`. A
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typical usage is to skip tests that should only run with ROCm (GPU).
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>>> class MyTest(tf.test.TestCase):
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...
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... def test_add_on_gpu(self):
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... if not tf.test.is_built_with_rocm():
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... self.skipTest("test is only applicable on GPU")
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...
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... with tf.device("GPU:0"):
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... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
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TensorFlow official binary is NOT built with ROCm.
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"""
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return _test_util.IsBuiltWithROCm()
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@tf_export('test.disable_with_predicate')
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def disable_with_predicate(pred, skip_message):
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"""Disables the test if pred is true."""
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def decorator_disable_with_predicate(func):
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@functools.wraps(func)
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def wrapper_disable_with_predicate(self, *args, **kwargs):
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if pred():
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self.skipTest(skip_message)
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else:
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return func(self, *args, **kwargs)
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return wrapper_disable_with_predicate
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return decorator_disable_with_predicate
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@tf_export('test.is_built_with_gpu_support')
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def is_built_with_gpu_support():
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"""Returns whether TensorFlow was built with GPU (CUDA or ROCm) support.
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This method should only be used in tests written with `tf.test.TestCase`. A
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typical usage is to skip tests that should only run with GPU.
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>>> class MyTest(tf.test.TestCase):
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...
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... def test_add_on_gpu(self):
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... if not tf.test.is_built_with_gpu_support():
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... self.skipTest("test is only applicable on GPU")
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...
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... with tf.device("GPU:0"):
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... self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
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TensorFlow official binary is built with CUDA GPU support.
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"""
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return is_built_with_cuda() or is_built_with_rocm()
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@tf_export('test.is_built_with_xla')
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def is_built_with_xla():
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"""Returns whether TensorFlow was built with XLA support.
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This method should only be used in tests written with `tf.test.TestCase`. A
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typical usage is to skip tests that should only run with XLA.
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>>> class MyTest(tf.test.TestCase):
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...
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... def test_add_on_xla(self):
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... if not tf.test.is_built_with_xla():
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... self.skipTest("test is only applicable on XLA")
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... @tf.function(jit_compile=True)
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... def add(x, y):
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... return tf.math.add(x, y)
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...
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... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)
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TensorFlow official binary is built with XLA.
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"""
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return _test_util.IsBuiltWithXLA()
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@tf_export('test.is_cpu_target_available')
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def is_cpu_target_available(target):
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"""Indicates whether TensorFlow was built with support for a given CPU target.
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Args:
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target: The name of the CPU target whose support to check for.
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Returns:
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A boolean indicating whether TensorFlow was built with support for the
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given CPU target.
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This method should only be used in tests written with `tf.test.TestCase`. A
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typical usage is to skip tests that should only run with a given target.
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>>> class MyTest(tf.test.TestCase):
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...
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... def test_add_on_aarch64(self):
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... if not tf.test.is_cpu_target_available('aarch64'):
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... self.skipTest("test is only applicable on AArch64")
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... @tf.function(jit_compile=True)
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... def add(x, y):
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... return tf.math.add(x, y)
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...
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... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)
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"""
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return _test_util.IsCPUTargetAvailable(target)
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