Module keras.distribute.keras_rnn_model_correctness_test

Correctness tests for tf.keras RNN models using DistributionStrategy.

Expand source code
# Copyright 2019 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.
# ==============================================================================
"""Correctness tests for tf.keras RNN models using DistributionStrategy."""

import tensorflow.compat.v2 as tf

import numpy as np

import keras
from keras import testing_utils
from keras.distribute import keras_correctness_test_base
from keras.layers import recurrent as rnn_v1
from keras.layers import recurrent_v2 as rnn_v2
from keras.mixed_precision import policy
from keras.optimizer_v2 import gradient_descent as gradient_descent_keras


class _DistributionStrategyRnnModelCorrectnessTest(
    keras_correctness_test_base
    .TestDistributionStrategyEmbeddingModelCorrectnessBase):

  def _get_layer_class(self):
    raise NotImplementedError

  def get_model(self,
                max_words=10,
                initial_weights=None,
                distribution=None,
                input_shapes=None):
    del input_shapes
    rnn_cls = self._get_layer_class()

    with keras_correctness_test_base.MaybeDistributionScope(distribution):
      word_ids = keras.layers.Input(
          shape=(max_words,), dtype=np.int32, name='words')
      word_embed = keras.layers.Embedding(input_dim=20, output_dim=10)(word_ids)
      rnn_embed = rnn_cls(units=4, return_sequences=False)(word_embed)

      dense_output = keras.layers.Dense(2)(rnn_embed)
      preds = keras.layers.Softmax(dtype='float32')(dense_output)
      model = keras.Model(inputs=[word_ids], outputs=[preds])

      if initial_weights:
        model.set_weights(initial_weights)

      optimizer_fn = gradient_descent_keras.SGD

      model.compile(
          optimizer=optimizer_fn(learning_rate=0.1),
          loss='sparse_categorical_crossentropy',
          metrics=['sparse_categorical_accuracy'])
    return model


@testing_utils.run_all_without_tensor_float_32(
    'Uses Dense layers, which call matmul')
class DistributionStrategyGruModelCorrectnessTest(
    _DistributionStrategyRnnModelCorrectnessTest):

  def _get_layer_class(self):
    if tf.__internal__.tf2.enabled():
      if not tf.executing_eagerly():
        self.skipTest("GRU v2 and legacy graph mode don't work together.")
      return rnn_v2.GRU
    else:
      return rnn_v1.GRU

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  def test_gru_model_correctness(self, distribution, use_numpy,
                                 use_validation_data):
    self.run_correctness_test(distribution, use_numpy, use_validation_data)


@testing_utils.run_all_without_tensor_float_32(
    'Uses Dense layers, which call matmul')
class DistributionStrategyLstmModelCorrectnessTest(
    _DistributionStrategyRnnModelCorrectnessTest):

  def _get_layer_class(self):
    if tf.__internal__.tf2.enabled():
      if not tf.executing_eagerly():
        self.skipTest("LSTM v2 and legacy graph mode don't work together.")
      return rnn_v2.LSTM
    else:
      return rnn_v1.LSTM

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  def test_lstm_model_correctness(self, distribution, use_numpy,
                                  use_validation_data):
    self.run_correctness_test(distribution, use_numpy, use_validation_data)

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  @testing_utils.enable_v2_dtype_behavior
  def test_lstm_model_correctness_mixed_precision(self, distribution, use_numpy,
                                                  use_validation_data):
    if isinstance(distribution,
                  (tf.distribute.experimental.CentralStorageStrategy,
                   tf.compat.v1.distribute.experimental.CentralStorageStrategy)):
      self.skipTest('CentralStorageStrategy is not supported by '
                    'mixed precision.')
    if isinstance(distribution,
                  (tf.distribute.experimental.TPUStrategy, tf.compat.v1.distribute.experimental.TPUStrategy)):
      policy_name = 'mixed_bfloat16'
    else:
      policy_name = 'mixed_float16'

    with policy.policy_scope(policy_name):
      self.run_correctness_test(distribution, use_numpy, use_validation_data)


if __name__ == '__main__':
  tf.__internal__.distribute.multi_process_runner.test_main()

Classes

class DistributionStrategyGruModelCorrectnessTest (methodName='runTest')

Base class to test correctness of Keras models with embedding layers.

Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name.

Expand source code
class DistributionStrategyGruModelCorrectnessTest(
    _DistributionStrategyRnnModelCorrectnessTest):

  def _get_layer_class(self):
    if tf.__internal__.tf2.enabled():
      if not tf.executing_eagerly():
        self.skipTest("GRU v2 and legacy graph mode don't work together.")
      return rnn_v2.GRU
    else:
      return rnn_v1.GRU

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  def test_gru_model_correctness(self, distribution, use_numpy,
                                 use_validation_data):
    self.run_correctness_test(distribution, use_numpy, use_validation_data)

Ancestors

Methods

def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_gru_model_correctness_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()

Inherited members

class DistributionStrategyLstmModelCorrectnessTest (methodName='runTest')

Base class to test correctness of Keras models with embedding layers.

Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name.

Expand source code
class DistributionStrategyLstmModelCorrectnessTest(
    _DistributionStrategyRnnModelCorrectnessTest):

  def _get_layer_class(self):
    if tf.__internal__.tf2.enabled():
      if not tf.executing_eagerly():
        self.skipTest("LSTM v2 and legacy graph mode don't work together.")
      return rnn_v2.LSTM
    else:
      return rnn_v1.LSTM

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  def test_lstm_model_correctness(self, distribution, use_numpy,
                                  use_validation_data):
    self.run_correctness_test(distribution, use_numpy, use_validation_data)

  @tf.__internal__.distribute.combinations.generate(
      keras_correctness_test_base.test_combinations_for_embedding_model() +
      keras_correctness_test_base.multi_worker_mirrored_eager())
  @testing_utils.enable_v2_dtype_behavior
  def test_lstm_model_correctness_mixed_precision(self, distribution, use_numpy,
                                                  use_validation_data):
    if isinstance(distribution,
                  (tf.distribute.experimental.CentralStorageStrategy,
                   tf.compat.v1.distribute.experimental.CentralStorageStrategy)):
      self.skipTest('CentralStorageStrategy is not supported by '
                    'mixed precision.')
    if isinstance(distribution,
                  (tf.distribute.experimental.TPUStrategy, tf.compat.v1.distribute.experimental.TPUStrategy)):
      policy_name = 'mixed_bfloat16'
    else:
      policy_name = 'mixed_float16'

    with policy.policy_scope(policy_name):
      self.run_correctness_test(distribution, use_numpy, use_validation_data)

Ancestors

Methods

def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_mixed_precision_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_CentralStorageCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_Mirrored2GPUs_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MirroredCPUAndGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x1GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceCPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_eager_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_OneDeviceGPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_TPU_mode_graph_usenumpy_False_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_False(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()
def test_lstm_model_correctness_test_distribution_TPU_mode_graph_usenumpy_True_usevalidationdata_True(self, **kwargs)

A wrapped test method that can treat some arguments in a special way.

Expand source code
def decorated(self, **kwargs):
  """A wrapped test method that can treat some arguments in a special way."""
  original_kwargs = kwargs.copy()

  # Skip combinations that are going to be executed in a different testing
  # environment.
  reasons_to_skip = []
  for combination in test_combinations:
    should_execute, reason = combination.should_execute_combination(
        original_kwargs.copy())
    if not should_execute:
      reasons_to_skip.append(" - " + reason)

  if reasons_to_skip:
    self.skipTest("\n".join(reasons_to_skip))

  customized_parameters = []
  for combination in test_combinations:
    customized_parameters.extend(combination.parameter_modifiers())
  customized_parameters = set(customized_parameters)

  # The function for running the test under the total set of
  # `context_managers`:
  def execute_test_method():
    requested_parameters = tf_inspect.getfullargspec(test_method).args
    for customized_parameter in customized_parameters:
      for argument, value in customized_parameter.modified_arguments(
          original_kwargs.copy(), requested_parameters).items():
        if value is ParameterModifier.DO_NOT_PASS_TO_THE_TEST:
          kwargs.pop(argument, None)
        else:
          kwargs[argument] = value

    omitted_arguments = set(requested_parameters).difference(
        set(list(kwargs.keys()) + ["self"]))
    if omitted_arguments:
      raise ValueError("The test requires parameters whose arguments "
                       "were not passed: {} .".format(omitted_arguments))
    missing_arguments = set(list(kwargs.keys()) + ["self"]).difference(
        set(requested_parameters))
    if missing_arguments:
      raise ValueError("The test does not take parameters that were passed "
                       ": {} .".format(missing_arguments))

    kwargs_to_pass = {}
    for parameter in requested_parameters:
      if parameter == "self":
        kwargs_to_pass[parameter] = self
      else:
        kwargs_to_pass[parameter] = kwargs[parameter]
    test_method(**kwargs_to_pass)

  # Install `context_managers` before running the test:
  context_managers = []
  for combination in test_combinations:
    for manager in combination.context_managers(
        original_kwargs.copy()):
      context_managers.append(manager)

  if hasattr(contextlib, "nested"):  # Python 2
    # TODO(isaprykin): Switch to ExitStack when contextlib2 is available.
    with contextlib.nested(*context_managers):
      execute_test_method()
  else:  # Python 3
    with contextlib.ExitStack() as context_stack:
      for manager in context_managers:
        context_stack.enter_context(manager)
      execute_test_method()

Inherited members