def disable_v2_behavior(): """Disables TensorFlow 2.x behaviors. This function can be called at the beginning of the program (before `Tensors`, `Graphs` or other structures have been created, and before devices have been initialized. It switches all global behaviors that are different between TensorFlow 1.x and 2.x to behave as intended for 1.x. User can call this function to disable 2.x behavior during complex migrations. """ tf2.disable() ops.disable_eager_execution() tensor_shape.disable_v2_tensorshape() # Also switched by tf2 variable_scope.disable_resource_variables() ops.disable_tensor_equality() # Disables TensorArrayV2 and control flow V2. control_flow_v2_toggles.disable_control_flow_v2() # Make sure internal uses of tf.data symbols map to V1 versions. dataset_ops.Dataset = dataset_ops.DatasetV1 readers.FixedLengthRecordDataset = readers.FixedLengthRecordDatasetV1 readers.TFRecordDataset = readers.TFRecordDatasetV1 readers.TextLineDataset = readers.TextLineDatasetV1 counter.Counter = counter.CounterV1 interleave_ops.choose_from_datasets = interleave_ops.choose_from_datasets_v1 interleave_ops.sample_from_datasets = interleave_ops.sample_from_datasets_v1 random_ops.RandomDataset = random_ops.RandomDatasetV1 exp_readers.CsvDataset = exp_readers.CsvDatasetV1 exp_readers.SqlDataset = exp_readers.SqlDatasetV1 exp_readers.make_batched_features_dataset = ( exp_readers.make_batched_features_dataset_v1) exp_readers.make_csv_dataset = exp_readers.make_csv_dataset_v1
def disable_v2_behavior(): """Enables TensorFlow 2.x behaviors. This function can be called at the beginning of the program (before `Tensors`, `Graphs` or other structures have been created, and before devices have been initialized. It switches all global behaviors that are different between TensorFlow 1.x and 2.x to behave as intended for 1.x. User can call this function to disable 2.x behavior during complex migrations. """ tf2.disable() # Switches TensorArrayV2 and control flow V2 ops.disable_eager_execution() tensor_shape.disable_v2_tensorshape() # Also switched by tf2 variable_scope.disable_resource_variables()
def disable_v2_behavior(): """Disables TensorFlow 2.x behaviors. This function can be called at the beginning of the program (before `Tensors`, `Graphs` or other structures have been created, and before devices have been initialized. It switches all global behaviors that are different between TensorFlow 1.x and 2.x to behave as intended for 1.x. User can call this function to disable 2.x behavior during complex migrations. """ tf2.disable() # Switches TensorArrayV2 and control flow V2 ops.disable_eager_execution() tensor_shape.disable_v2_tensorshape() # Also switched by tf2 variable_scope.disable_resource_variables()
def disable_v2_behavior(): """Disables TensorFlow 2.x behaviors. This function can be called at the beginning of the program (before `Tensors`, `Graphs` or other structures have been created, and before devices have been initialized. It switches all global behaviors that are different between TensorFlow 1.x and 2.x to behave as intended for 1.x. User can call this function to disable 2.x behavior during complex migrations. @compatibility(TF2) Using this function indicates that your software is not compatible with eager execution and `tf.function` in TF2. To migrate to TF2, rewrite your code to be compatible with eager execution. Please refer to the [migration guide] (https://www.tensorflow.org/guide/migrate) for additional resource on the topic. @end_compatibility """ _v2_behavior_usage_gauge.get_cell("disable").set(True) tf2.disable() ops.disable_eager_execution() tensor_shape.disable_v2_tensorshape() # Also switched by tf2 variable_scope.disable_resource_variables() ops.disable_tensor_equality() # Disables TensorArrayV2 and control flow V2. control_flow_v2_toggles.disable_control_flow_v2() # Make sure internal uses of tf.data symbols map to V1 versions. dataset_ops.Dataset = dataset_ops.DatasetV1 readers.FixedLengthRecordDataset = readers.FixedLengthRecordDatasetV1 readers.TFRecordDataset = readers.TFRecordDatasetV1 readers.TextLineDataset = readers.TextLineDatasetV1 counter.Counter = counter.CounterV1 interleave_ops.choose_from_datasets = interleave_ops.choose_from_datasets_v1 interleave_ops.sample_from_datasets = interleave_ops.sample_from_datasets_v1 random_ops.RandomDataset = random_ops.RandomDatasetV1 exp_readers.CsvDataset = exp_readers.CsvDatasetV1 exp_readers.SqlDataset = exp_readers.SqlDatasetV1 exp_readers.make_batched_features_dataset = ( exp_readers.make_batched_features_dataset_v1) exp_readers.make_csv_dataset = exp_readers.make_csv_dataset_v1
def testV2BehaviorLogging(self): with self.assertLogs(level='INFO') as logs: try: ops.enable_eager_execution() # Ignore this exception to test log output successfully except ValueError as e: if 'must be called at program startup' not in str(e): raise e self.assertIn('Enabling eager execution', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: ops.disable_eager_execution() self.assertIn('Disabling eager execution', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: tensor_shape.enable_v2_tensorshape() self.assertIn('Enabling v2 tensorshape', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: tensor_shape.disable_v2_tensorshape() self.assertIn('Disabling v2 tensorshape', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: variable_scope.enable_resource_variables() self.assertIn('Enabling resource variables', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: variable_scope.disable_resource_variables() self.assertIn('Disabling resource variables', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: ops.enable_tensor_equality() self.assertIn('Enabling tensor equality', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: ops.disable_tensor_equality() self.assertIn('Disabling tensor equality', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: control_flow_v2_toggles.enable_control_flow_v2() self.assertIn('Enabling control flow v2', ''.join(logs.output)) with self.assertLogs(level='INFO') as logs: control_flow_v2_toggles.disable_control_flow_v2() self.assertIn('Disabling control flow v2', ''.join(logs.output))
def wrapper(*args, **kwargs): variable_scope.disable_resource_variables() try: f(*args, **kwargs) finally: variable_scope.enable_resource_variables()
def setUpClass(cls): super(ObsoleteSessionManagerTest, cls).setUpClass() variable_scope.disable_resource_variables()
from tensorflow.python.client import session from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.ops import array_ops from tensorflow.python.ops import init_ops from tensorflow.python.ops import variable_scope from tensorflow.python.ops import variables from tensorflow.python.saved_model import builder from tensorflow.python.saved_model import signature_constants from tensorflow.python.saved_model import signature_def_utils from tensorflow.python.saved_model import tag_constants from tensorflow.python.saved_model import utils ops.disable_eager_execution() variable_scope.disable_resource_variables() def GenerateModelWithVariableV2(tf_saved_model_dir): """Generate a model with a VariableV2 node using TFv1 API.""" def SimpleModel(): """Define model with a TF graph.""" def GraphFn(): input1 = array_ops.placeholder(dtype=dtypes.float32, shape=[None, 1, 1], name="input1") input2 = array_ops.placeholder(dtype=dtypes.float32, shape=[None, 1, 1], name="input2") var1 = variable_scope.get_variable( "var1",