EVOLUTION-MANAGER

Edit File: v2_compat.py

# Copyright 2018 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. # ============================================================================== """Switching v2 features on and off.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensorflow.python import tf2 from tensorflow.python.data.experimental.ops import counter from tensorflow.python.data.experimental.ops import interleave_ops from tensorflow.python.data.experimental.ops import random_ops from tensorflow.python.data.experimental.ops import readers as exp_readers from tensorflow.python.data.ops import dataset_ops from tensorflow.python.data.ops import readers from tensorflow.python.eager import monitoring from tensorflow.python.framework import ops from tensorflow.python.framework import tensor_shape from tensorflow.python.ops import control_flow_v2_toggles from tensorflow.python.ops import variable_scope from tensorflow.python.util.tf_export import tf_export # Metrics to track the status of v2_behavior _v2_behavior_usage_gauge = monitoring.BoolGauge( "/tensorflow/version/v2_behavior", "whether v2_behavior is enabled or disabled", "status") @tf_export(v1=["enable_v2_behavior"]) def enable_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 2.x. This function is called in the main TensorFlow `__init__.py` file, user should not need to call it, except during complex migrations. """ _v2_behavior_usage_gauge.get_cell("enable").set(True) # TF2 behavior is enabled if either 1) enable_v2_behavior() is called or # 2) the TF2_BEHAVIOR=1 environment variable is set. In the latter case, # the modules below independently check if tf2.enabled(). tf2.enable() ops.enable_eager_execution() tensor_shape.enable_v2_tensorshape() # Also switched by tf2 variable_scope.enable_resource_variables() ops.enable_tensor_equality() # Enables TensorArrayV2 and control flow V2. control_flow_v2_toggles.enable_control_flow_v2() # Make sure internal uses of tf.data symbols map to V2 versions. dataset_ops.Dataset = dataset_ops.DatasetV2 readers.FixedLengthRecordDataset = readers.FixedLengthRecordDatasetV2 readers.TFRecordDataset = readers.TFRecordDatasetV2 readers.TextLineDataset = readers.TextLineDatasetV2 counter.Counter = counter.CounterV2 interleave_ops.choose_from_datasets = interleave_ops.choose_from_datasets_v2 interleave_ops.sample_from_datasets = interleave_ops.sample_from_datasets_v2 random_ops.RandomDataset = random_ops.RandomDatasetV2 exp_readers.CsvDataset = exp_readers.CsvDatasetV2 exp_readers.SqlDataset = exp_readers.SqlDatasetV2 exp_readers.make_batched_features_dataset = ( exp_readers.make_batched_features_dataset_v2) exp_readers.make_csv_dataset = exp_readers.make_csv_dataset_v2 @tf_export(v1=["disable_v2_behavior"]) 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. """ _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