tensorflow/tools/compatibility/renames_v2.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.
# ==============================================================================
# pylint: disable=line-too-long
"""List of renames to apply when converting from TF 1.0 to TF 2.0.
THIS FILE IS AUTOGENERATED: To update, please run:
bazel run tensorflow/tools/compatibility/update:generate_v2_renames_map
This file should be updated whenever endpoints are deprecated.
"""
renames = {
'tf.AUTO_REUSE':
'tf.compat.v1.AUTO_REUSE',
'tf.AttrValue':
'tf.compat.v1.AttrValue',
'tf.COMPILER_VERSION':
'tf.version.COMPILER_VERSION',
'tf.CXX11_ABI_FLAG':
'tf.sysconfig.CXX11_ABI_FLAG',
'tf.CXX_VERSION':
'tf.sysconfig.CXX_VERSION',
'tf.ConditionalAccumulator':
'tf.compat.v1.ConditionalAccumulator',
'tf.ConditionalAccumulatorBase':
'tf.compat.v1.ConditionalAccumulatorBase',
'tf.ConfigProto':
'tf.compat.v1.ConfigProto',
'tf.Dimension':
'tf.compat.v1.Dimension',
'tf.Event':
'tf.compat.v1.Event',
'tf.FIFOQueue':
'tf.queue.FIFOQueue',
'tf.FixedLenFeature':
'tf.io.FixedLenFeature',
'tf.FixedLenSequenceFeature':
'tf.io.FixedLenSequenceFeature',
'tf.FixedLengthRecordReader':
'tf.compat.v1.FixedLengthRecordReader',
'tf.GIT_VERSION':
'tf.version.GIT_VERSION',
'tf.GPUOptions':
'tf.compat.v1.GPUOptions',
'tf.GRAPH_DEF_VERSION':
'tf.version.GRAPH_DEF_VERSION',
'tf.GRAPH_DEF_VERSION_MIN_CONSUMER':
'tf.version.GRAPH_DEF_VERSION_MIN_CONSUMER',
'tf.GRAPH_DEF_VERSION_MIN_PRODUCER':
'tf.version.GRAPH_DEF_VERSION_MIN_PRODUCER',
'tf.GraphDef':
'tf.compat.v1.GraphDef',
'tf.GraphKeys':
'tf.compat.v1.GraphKeys',
'tf.GraphOptions':
'tf.compat.v1.GraphOptions',
'tf.HistogramProto':
'tf.compat.v1.HistogramProto',
'tf.IdentityReader':
'tf.compat.v1.IdentityReader',
'tf.InteractiveSession':
'tf.compat.v1.InteractiveSession',
'tf.LMDBReader':
'tf.compat.v1.LMDBReader',
'tf.LogMessage':
'tf.compat.v1.LogMessage',
'tf.MONOLITHIC_BUILD':
'tf.sysconfig.MONOLITHIC_BUILD',
'tf.MetaGraphDef':
'tf.compat.v1.MetaGraphDef',
'tf.NameAttrList':
'tf.compat.v1.NameAttrList',
'tf.NoGradient':
'tf.no_gradient',
'tf.NodeDef':
'tf.compat.v1.NodeDef',
'tf.NotDifferentiable':
'tf.no_gradient',
'tf.OpError':
'tf.errors.OpError',
'tf.OptimizerOptions':
'tf.compat.v1.OptimizerOptions',
'tf.PaddingFIFOQueue':
'tf.queue.PaddingFIFOQueue',
'tf.Print':
'tf.compat.v1.Print',
'tf.PriorityQueue':
'tf.queue.PriorityQueue',
'tf.QUANTIZED_DTYPES':
'tf.dtypes.QUANTIZED_DTYPES',
'tf.QueueBase':
'tf.queue.QueueBase',
'tf.RandomShuffleQueue':
'tf.queue.RandomShuffleQueue',
'tf.ReaderBase':
'tf.compat.v1.ReaderBase',
'tf.RunMetadata':
'tf.compat.v1.RunMetadata',
'tf.RunOptions':
'tf.compat.v1.RunOptions',
'tf.Session':
'tf.compat.v1.Session',
'tf.SessionLog':
'tf.compat.v1.SessionLog',
'tf.SparseConditionalAccumulator':
'tf.compat.v1.SparseConditionalAccumulator',
'tf.SparseFeature':
'tf.io.SparseFeature',
'tf.SparseTensorValue':
'tf.compat.v1.SparseTensorValue',
'tf.Summary':
'tf.compat.v1.Summary',
'tf.SummaryMetadata':
'tf.compat.v1.SummaryMetadata',
'tf.TFRecordReader':
'tf.compat.v1.TFRecordReader',
'tf.TensorInfo':
'tf.compat.v1.TensorInfo',
'tf.TextLineReader':
'tf.compat.v1.TextLineReader',
'tf.VERSION':
'tf.version.VERSION',
'tf.VarLenFeature':
'tf.io.VarLenFeature',
'tf.VariableScope':
'tf.compat.v1.VariableScope',
'tf.WholeFileReader':
'tf.compat.v1.WholeFileReader',
'tf.accumulate_n':
'tf.math.accumulate_n',
'tf.add_check_numerics_ops':
'tf.compat.v1.add_check_numerics_ops',
'tf.add_to_collection':
'tf.compat.v1.add_to_collection',
'tf.add_to_collections':
'tf.compat.v1.add_to_collections',
'tf.all_variables':
'tf.compat.v1.all_variables',
'tf.angle':
'tf.math.angle',
'tf.app.run':
'tf.compat.v1.app.run',
'tf.assert_proper_iterable':
'tf.debugging.assert_proper_iterable',
'tf.assert_same_float_dtype':
'tf.debugging.assert_same_float_dtype',
'tf.assign':
'tf.compat.v1.assign',
'tf.assign_add':
'tf.compat.v1.assign_add',
'tf.assign_sub':
'tf.compat.v1.assign_sub',
'tf.batch_scatter_update':
'tf.compat.v1.batch_scatter_update',
'tf.betainc':
'tf.math.betainc',
'tf.ceil':
'tf.math.ceil',
'tf.check_numerics':
'tf.debugging.check_numerics',
'tf.cholesky':
'tf.linalg.cholesky',
'tf.cholesky_solve':
'tf.linalg.cholesky_solve',
'tf.clip_by_average_norm':
'tf.compat.v1.clip_by_average_norm',
'tf.colocate_with':
'tf.compat.v1.colocate_with',
'tf.conj':
'tf.math.conj',
'tf.container':
'tf.compat.v1.container',
'tf.control_flow_v2_enabled':
'tf.compat.v1.control_flow_v2_enabled',
'tf.convert_to_tensor_or_indexed_slices':
'tf.compat.v1.convert_to_tensor_or_indexed_slices',
'tf.convert_to_tensor_or_sparse_tensor':
'tf.compat.v1.convert_to_tensor_or_sparse_tensor',
'tf.count_up_to':
'tf.compat.v1.count_up_to',
'tf.create_partitioned_variables':
'tf.compat.v1.create_partitioned_variables',
'tf.cross':
'tf.linalg.cross',
'tf.cumprod':
'tf.math.cumprod',
'tf.data.get_output_classes':
'tf.compat.v1.data.get_output_classes',
'tf.data.get_output_shapes':
'tf.compat.v1.data.get_output_shapes',
'tf.data.get_output_types':
'tf.compat.v1.data.get_output_types',
'tf.data.make_initializable_iterator':
'tf.compat.v1.data.make_initializable_iterator',
'tf.data.make_one_shot_iterator':
'tf.compat.v1.data.make_one_shot_iterator',
'tf.debugging.is_finite':
'tf.math.is_finite',
'tf.debugging.is_inf':
'tf.math.is_inf',
'tf.debugging.is_nan':
'tf.math.is_nan',
'tf.debugging.is_non_decreasing':
'tf.math.is_non_decreasing',
'tf.debugging.is_strictly_increasing':
'tf.math.is_strictly_increasing',
'tf.decode_base64':
'tf.io.decode_base64',
'tf.decode_compressed':
'tf.io.decode_compressed',
'tf.decode_json_example':
'tf.io.decode_json_example',
'tf.delete_session_tensor':
'tf.compat.v1.delete_session_tensor',
'tf.depth_to_space':
'tf.nn.depth_to_space',
'tf.dequantize':
'tf.quantization.dequantize',
'tf.deserialize_many_sparse':
'tf.io.deserialize_many_sparse',
'tf.diag':
'tf.linalg.tensor_diag',
'tf.diag_part':
'tf.linalg.tensor_diag_part',
'tf.digamma':
'tf.math.digamma',
'tf.dimension_at_index':
'tf.compat.dimension_at_index',
'tf.dimension_value':
'tf.compat.dimension_value',
'tf.disable_control_flow_v2':
'tf.compat.v1.disable_control_flow_v2',
'tf.disable_eager_execution':
'tf.compat.v1.disable_eager_execution',
'tf.disable_resource_variables':
'tf.compat.v1.disable_resource_variables',
'tf.disable_tensor_equality':
'tf.compat.v1.disable_tensor_equality',
'tf.disable_v2_behavior':
'tf.compat.v1.disable_v2_behavior',
'tf.disable_v2_tensorshape':
'tf.compat.v1.disable_v2_tensorshape',
'tf.distribute.get_loss_reduction':
'tf.compat.v1.distribute.get_loss_reduction',
'tf.distributions.Bernoulli':
'tf.compat.v1.distributions.Bernoulli',
'tf.distributions.Beta':
'tf.compat.v1.distributions.Beta',
'tf.distributions.Categorical':
'tf.compat.v1.distributions.Categorical',
'tf.distributions.Dirichlet':
'tf.compat.v1.distributions.Dirichlet',
'tf.distributions.DirichletMultinomial':
'tf.compat.v1.distributions.DirichletMultinomial',
'tf.distributions.Distribution':
'tf.compat.v1.distributions.Distribution',
'tf.distributions.Exponential':
'tf.compat.v1.distributions.Exponential',
'tf.distributions.FULLY_REPARAMETERIZED':
'tf.compat.v1.distributions.FULLY_REPARAMETERIZED',
'tf.distributions.Gamma':
'tf.compat.v1.distributions.Gamma',
'tf.distributions.Laplace':
'tf.compat.v1.distributions.Laplace',
'tf.distributions.Multinomial':
'tf.compat.v1.distributions.Multinomial',
'tf.distributions.NOT_REPARAMETERIZED':
'tf.compat.v1.distributions.NOT_REPARAMETERIZED',
'tf.distributions.Normal':
'tf.compat.v1.distributions.Normal',
'tf.distributions.RegisterKL':
'tf.compat.v1.distributions.RegisterKL',
'tf.distributions.ReparameterizationType':
'tf.compat.v1.distributions.ReparameterizationType',
'tf.distributions.StudentT':
'tf.compat.v1.distributions.StudentT',
'tf.distributions.Uniform':
'tf.compat.v1.distributions.Uniform',
'tf.distributions.kl_divergence':
'tf.compat.v1.distributions.kl_divergence',
'tf.div':
'tf.compat.v1.div',
'tf.div_no_nan':
'tf.math.divide_no_nan',
'tf.dtypes.as_string':
'tf.strings.as_string',
'tf.enable_control_flow_v2':
'tf.compat.v1.enable_control_flow_v2',
'tf.enable_eager_execution':
'tf.compat.v1.enable_eager_execution',
'tf.enable_resource_variables':
'tf.compat.v1.enable_resource_variables',
'tf.enable_tensor_equality':
'tf.compat.v1.enable_tensor_equality',
'tf.enable_v2_behavior':
'tf.compat.v1.enable_v2_behavior',
'tf.enable_v2_tensorshape':
'tf.compat.v1.enable_v2_tensorshape',
'tf.encode_base64':
'tf.io.encode_base64',
'tf.erf':
'tf.math.erf',
'tf.erfc':
'tf.math.erfc',
'tf.executing_eagerly_outside_functions':
'tf.compat.v1.executing_eagerly_outside_functions',
'tf.experimental.output_all_intermediates':
'tf.compat.v1.experimental.output_all_intermediates',
'tf.expm1':
'tf.math.expm1',
'tf.fake_quant_with_min_max_args':
'tf.quantization.fake_quant_with_min_max_args',
'tf.fake_quant_with_min_max_args_gradient':
'tf.quantization.fake_quant_with_min_max_args_gradient',
'tf.fake_quant_with_min_max_vars':
'tf.quantization.fake_quant_with_min_max_vars',
'tf.fake_quant_with_min_max_vars_gradient':
'tf.quantization.fake_quant_with_min_max_vars_gradient',
'tf.fake_quant_with_min_max_vars_per_channel':
'tf.quantization.fake_quant_with_min_max_vars_per_channel',
'tf.fake_quant_with_min_max_vars_per_channel_gradient':
'tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient',
'tf.feature_column.input_layer':
'tf.compat.v1.feature_column.input_layer',
'tf.feature_column.linear_model':
'tf.compat.v1.feature_column.linear_model',
'tf.feature_column.shared_embedding_columns':
'tf.compat.v1.feature_column.shared_embedding_columns',
'tf.fft':
'tf.signal.fft',
'tf.fft2d':
'tf.signal.fft2d',
'tf.fft3d':
'tf.signal.fft3d',
'tf.fixed_size_partitioner':
'tf.compat.v1.fixed_size_partitioner',
'tf.floordiv':
'tf.math.floordiv',
'tf.floormod':
'tf.math.floormod',
'tf.get_collection':
'tf.compat.v1.get_collection',
'tf.get_collection_ref':
'tf.compat.v1.get_collection_ref',
'tf.get_default_graph':
'tf.compat.v1.get_default_graph',
'tf.get_default_session':
'tf.compat.v1.get_default_session',
'tf.get_local_variable':
'tf.compat.v1.get_local_variable',
'tf.get_seed':
'tf.compat.v1.get_seed',
'tf.get_session_handle':
'tf.compat.v1.get_session_handle',
'tf.get_session_tensor':
'tf.compat.v1.get_session_tensor',
'tf.get_variable':
'tf.compat.v1.get_variable',
'tf.get_variable_scope':
'tf.compat.v1.get_variable_scope',
'tf.gfile.FastGFile':
'tf.compat.v1.gfile.FastGFile',
'tf.global_norm':
'tf.linalg.global_norm',
'tf.global_variables':
'tf.compat.v1.global_variables',
'tf.global_variables_initializer':
'tf.compat.v1.global_variables_initializer',
'tf.graph_util.convert_variables_to_constants':
'tf.compat.v1.graph_util.convert_variables_to_constants',
'tf.graph_util.extract_sub_graph':
'tf.compat.v1.graph_util.extract_sub_graph',
'tf.graph_util.must_run_on_cpu':
'tf.compat.v1.graph_util.must_run_on_cpu',
'tf.graph_util.remove_training_nodes':
'tf.compat.v1.graph_util.remove_training_nodes',
'tf.graph_util.tensor_shape_from_node_def_name':
'tf.compat.v1.graph_util.tensor_shape_from_node_def_name',
'tf.ifft':
'tf.signal.ifft',
'tf.ifft2d':
'tf.signal.ifft2d',
'tf.ifft3d':
'tf.signal.ifft3d',
'tf.igamma':
'tf.math.igamma',
'tf.igammac':
'tf.math.igammac',
'tf.imag':
'tf.math.imag',
'tf.image.resize_area':
'tf.compat.v1.image.resize_area',
'tf.image.resize_bicubic':
'tf.compat.v1.image.resize_bicubic',
'tf.image.resize_bilinear':
'tf.compat.v1.image.resize_bilinear',
'tf.image.resize_image_with_crop_or_pad':
'tf.image.resize_with_crop_or_pad',
'tf.image.resize_image_with_pad':
'tf.compat.v1.image.resize_image_with_pad',
'tf.image.resize_nearest_neighbor':
'tf.compat.v1.image.resize_nearest_neighbor',
'tf.image.transpose_image':
'tf.image.transpose',
'tf.initialize_all_tables':
'tf.compat.v1.initialize_all_tables',
'tf.initialize_all_variables':
'tf.compat.v1.initialize_all_variables',
'tf.initialize_local_variables':
'tf.compat.v1.initialize_local_variables',
'tf.initialize_variables':
'tf.compat.v1.initialize_variables',
'tf.initializers.global_variables':
'tf.compat.v1.initializers.global_variables',
'tf.initializers.local_variables':
'tf.compat.v1.initializers.local_variables',
'tf.initializers.tables_initializer':
'tf.compat.v1.initializers.tables_initializer',
'tf.initializers.uniform_unit_scaling':
'tf.compat.v1.initializers.uniform_unit_scaling',
'tf.initializers.variables':
'tf.compat.v1.initializers.variables',
'tf.invert_permutation':
'tf.math.invert_permutation',
'tf.io.PaddingFIFOQueue':
'tf.queue.PaddingFIFOQueue',
'tf.io.PriorityQueue':
'tf.queue.PriorityQueue',
'tf.io.QueueBase':
'tf.queue.QueueBase',
'tf.io.RandomShuffleQueue':
'tf.queue.RandomShuffleQueue',
'tf.io.TFRecordCompressionType':
'tf.compat.v1.io.TFRecordCompressionType',
'tf.io.tf_record_iterator':
'tf.compat.v1.io.tf_record_iterator',
'tf.is_finite':
'tf.math.is_finite',
'tf.is_inf':
'tf.math.is_inf',
'tf.is_nan':
'tf.math.is_nan',
'tf.is_non_decreasing':
'tf.math.is_non_decreasing',
'tf.is_numeric_tensor':
'tf.debugging.is_numeric_tensor',
'tf.is_strictly_increasing':
'tf.math.is_strictly_increasing',
'tf.is_variable_initialized':
'tf.compat.v1.is_variable_initialized',
'tf.keras.backend.get_session':
'tf.compat.v1.keras.backend.get_session',
'tf.keras.backend.set_session':
'tf.compat.v1.keras.backend.set_session',
'tf.keras.layers.CuDNNGRU':
'tf.compat.v1.keras.layers.CuDNNGRU',
'tf.keras.layers.CuDNNLSTM':
'tf.compat.v1.keras.layers.CuDNNLSTM',
'tf.keras.layers.disable_v2_dtype_behavior':
'tf.compat.v1.keras.layers.disable_v2_dtype_behavior',
'tf.keras.layers.enable_v2_dtype_behavior':
'tf.compat.v1.keras.layers.enable_v2_dtype_behavior',
'tf.keras.losses.cosine':
'tf.keras.losses.cosine_similarity',
'tf.keras.losses.cosine_proximity':
'tf.keras.losses.cosine_similarity',
'tf.keras.metrics.cosine':
'tf.keras.losses.cosine_similarity',
'tf.keras.metrics.cosine_proximity':
'tf.keras.losses.cosine_similarity',
'tf.keras.models.LinearModel':
'tf.keras.experimental.LinearModel',
'tf.keras.models.WideDeepModel':
'tf.keras.experimental.WideDeepModel',
'tf.keras.optimizers.Adadelta':
'tf.keras.optimizers.legacy.Adadelta',
'tf.keras.optimizers.Adagrad':
'tf.keras.optimizers.legacy.Adagrad',
'tf.keras.optimizers.Adam':
'tf.keras.optimizers.legacy.Adam',
'tf.keras.optimizers.Adamax':
'tf.keras.optimizers.legacy.Adamax',
'tf.keras.optimizers.Ftrl':
'tf.keras.optimizers.legacy.Ftrl',
'tf.keras.optimizers.Nadam':
'tf.keras.optimizers.legacy.Nadam',
'tf.keras.optimizers.Optimizer':
'tf.keras.optimizers.legacy.Optimizer',
'tf.keras.optimizers.RMSprop':
'tf.keras.optimizers.legacy.RMSprop',
'tf.keras.optimizers.SGD':
'tf.keras.optimizers.legacy.SGD',
'tf.keras.utils.DeterministicRandomTestTool':
'tf.compat.v1.keras.utils.DeterministicRandomTestTool',
'tf.keras.utils.get_or_create_layer':
'tf.compat.v1.keras.utils.get_or_create_layer',
'tf.keras.utils.track_tf1_style_variables':
'tf.compat.v1.keras.utils.track_tf1_style_variables',
'tf.layers.BatchNormalization':
'tf.compat.v1.layers.BatchNormalization',
'tf.layers.InputSpec':
'tf.keras.layers.InputSpec',
'tf.layers.batch_normalization':
'tf.compat.v1.layers.batch_normalization',
'tf.lbeta':
'tf.math.lbeta',
'tf.lgamma':
'tf.math.lgamma',
'tf.lin_space':
'tf.linspace',
'tf.linalg.transpose':
'tf.linalg.matrix_transpose',
'tf.lite.OpHint':
'tf.compat.v1.lite.OpHint',
'tf.lite.TocoConverter':
'tf.compat.v1.lite.TocoConverter',
'tf.lite.constants.GRAPHVIZ_DOT':
'tf.compat.v1.lite.constants.GRAPHVIZ_DOT',
'tf.lite.constants.TFLITE':
'tf.compat.v1.lite.constants.TFLITE',
'tf.lite.experimental.convert_op_hints_to_stubs':
'tf.compat.v1.lite.experimental.convert_op_hints_to_stubs',
'tf.lite.toco_convert':
'tf.compat.v1.lite.toco_convert',
'tf.local_variables':
'tf.compat.v1.local_variables',
'tf.local_variables_initializer':
'tf.compat.v1.local_variables_initializer',
'tf.log':
'tf.math.log',
'tf.log1p':
'tf.math.log1p',
'tf.log_sigmoid':
'tf.math.log_sigmoid',
'tf.logging.DEBUG':
'tf.compat.v1.logging.DEBUG',
'tf.logging.ERROR':
'tf.compat.v1.logging.ERROR',
'tf.logging.FATAL':
'tf.compat.v1.logging.FATAL',
'tf.logging.INFO':
'tf.compat.v1.logging.INFO',
'tf.logging.TaskLevelStatusMessage':
'tf.compat.v1.logging.TaskLevelStatusMessage',
'tf.logging.WARN':
'tf.compat.v1.logging.WARN',
'tf.logging.debug':
'tf.compat.v1.logging.debug',
'tf.logging.error':
'tf.compat.v1.logging.error',
'tf.logging.fatal':
'tf.compat.v1.logging.fatal',
'tf.logging.flush':
'tf.compat.v1.logging.flush',
'tf.logging.get_verbosity':
'tf.compat.v1.logging.get_verbosity',
'tf.logging.info':
'tf.compat.v1.logging.info',
'tf.logging.log':
'tf.compat.v1.logging.log',
'tf.logging.log_every_n':
'tf.compat.v1.logging.log_every_n',
'tf.logging.log_first_n':
'tf.compat.v1.logging.log_first_n',
'tf.logging.log_if':
'tf.compat.v1.logging.log_if',
'tf.logging.set_verbosity':
'tf.compat.v1.logging.set_verbosity',
'tf.logging.vlog':
'tf.compat.v1.logging.vlog',
'tf.logging.warn':
'tf.compat.v1.logging.warn',
'tf.logging.warning':
'tf.compat.v1.logging.warning',
'tf.logical_xor':
'tf.math.logical_xor',
'tf.losses.Reduction':
'tf.compat.v1.losses.Reduction',
'tf.losses.absolute_difference':
'tf.compat.v1.losses.absolute_difference',
'tf.losses.add_loss':
'tf.compat.v1.losses.add_loss',
'tf.losses.compute_weighted_loss':
'tf.compat.v1.losses.compute_weighted_loss',
'tf.losses.cosine_distance':
'tf.compat.v1.losses.cosine_distance',
'tf.losses.get_losses':
'tf.compat.v1.losses.get_losses',
'tf.losses.get_regularization_loss':
'tf.compat.v1.losses.get_regularization_loss',
'tf.losses.get_regularization_losses':
'tf.compat.v1.losses.get_regularization_losses',
'tf.losses.get_total_loss':
'tf.compat.v1.losses.get_total_loss',
'tf.losses.hinge_loss':
'tf.compat.v1.losses.hinge_loss',
'tf.losses.huber_loss':
'tf.compat.v1.losses.huber_loss',
'tf.losses.log_loss':
'tf.compat.v1.losses.log_loss',
'tf.losses.mean_pairwise_squared_error':
'tf.compat.v1.losses.mean_pairwise_squared_error',
'tf.losses.mean_squared_error':
'tf.compat.v1.losses.mean_squared_error',
'tf.losses.sigmoid_cross_entropy':
'tf.compat.v1.losses.sigmoid_cross_entropy',
'tf.losses.softmax_cross_entropy':
'tf.compat.v1.losses.softmax_cross_entropy',
'tf.losses.sparse_softmax_cross_entropy':
'tf.compat.v1.losses.sparse_softmax_cross_entropy',
'tf.make_template':
'tf.compat.v1.make_template',
'tf.manip.gather_nd':
'tf.gather_nd',
'tf.manip.reshape':
'tf.reshape',
'tf.manip.reverse':
'tf.reverse',
'tf.manip.roll':
'tf.roll',
'tf.manip.scatter_nd':
'tf.scatter_nd',
'tf.manip.space_to_batch_nd':
'tf.space_to_batch_nd',
'tf.manip.tile':
'tf.tile',
'tf.matching_files':
'tf.io.matching_files',
'tf.matrix_band_part':
'tf.linalg.band_part',
'tf.matrix_determinant':
'tf.linalg.det',
'tf.matrix_diag':
'tf.linalg.diag',
'tf.matrix_diag_part':
'tf.linalg.diag_part',
'tf.matrix_inverse':
'tf.linalg.inv',
'tf.matrix_set_diag':
'tf.linalg.set_diag',
'tf.matrix_solve':
'tf.linalg.solve',
'tf.matrix_solve_ls':
'tf.linalg.lstsq',
'tf.matrix_transpose':
'tf.linalg.matrix_transpose',
'tf.matrix_triangular_solve':
'tf.linalg.triangular_solve',
'tf.metrics.accuracy':
'tf.compat.v1.metrics.accuracy',
'tf.metrics.auc':
'tf.compat.v1.metrics.auc',
'tf.metrics.average_precision_at_k':
'tf.compat.v1.metrics.average_precision_at_k',
'tf.metrics.false_negatives':
'tf.compat.v1.metrics.false_negatives',
'tf.metrics.false_negatives_at_thresholds':
'tf.compat.v1.metrics.false_negatives_at_thresholds',
'tf.metrics.false_positives':
'tf.compat.v1.metrics.false_positives',
'tf.metrics.false_positives_at_thresholds':
'tf.compat.v1.metrics.false_positives_at_thresholds',
'tf.metrics.mean':
'tf.compat.v1.metrics.mean',
'tf.metrics.mean_absolute_error':
'tf.compat.v1.metrics.mean_absolute_error',
'tf.metrics.mean_cosine_distance':
'tf.compat.v1.metrics.mean_cosine_distance',
'tf.metrics.mean_iou':
'tf.compat.v1.metrics.mean_iou',
'tf.metrics.mean_per_class_accuracy':
'tf.compat.v1.metrics.mean_per_class_accuracy',
'tf.metrics.mean_relative_error':
'tf.compat.v1.metrics.mean_relative_error',
'tf.metrics.mean_squared_error':
'tf.compat.v1.metrics.mean_squared_error',
'tf.metrics.mean_tensor':
'tf.compat.v1.metrics.mean_tensor',
'tf.metrics.percentage_below':
'tf.compat.v1.metrics.percentage_below',
'tf.metrics.precision':
'tf.compat.v1.metrics.precision',
'tf.metrics.precision_at_k':
'tf.compat.v1.metrics.precision_at_k',
'tf.metrics.precision_at_thresholds':
'tf.compat.v1.metrics.precision_at_thresholds',
'tf.metrics.precision_at_top_k':
'tf.compat.v1.metrics.precision_at_top_k',
'tf.metrics.recall':
'tf.compat.v1.metrics.recall',
'tf.metrics.recall_at_k':
'tf.compat.v1.metrics.recall_at_k',
'tf.metrics.recall_at_thresholds':
'tf.compat.v1.metrics.recall_at_thresholds',
'tf.metrics.recall_at_top_k':
'tf.compat.v1.metrics.recall_at_top_k',
'tf.metrics.root_mean_squared_error':
'tf.compat.v1.metrics.root_mean_squared_error',
'tf.metrics.sensitivity_at_specificity':
'tf.compat.v1.metrics.sensitivity_at_specificity',
'tf.metrics.sparse_average_precision_at_k':
'tf.compat.v1.metrics.sparse_average_precision_at_k',
'tf.metrics.sparse_precision_at_k':
'tf.compat.v1.metrics.sparse_precision_at_k',
'tf.metrics.specificity_at_sensitivity':
'tf.compat.v1.metrics.specificity_at_sensitivity',
'tf.metrics.true_negatives':
'tf.compat.v1.metrics.true_negatives',
'tf.metrics.true_negatives_at_thresholds':
'tf.compat.v1.metrics.true_negatives_at_thresholds',
'tf.metrics.true_positives':
'tf.compat.v1.metrics.true_positives',
'tf.metrics.true_positives_at_thresholds':
'tf.compat.v1.metrics.true_positives_at_thresholds',
'tf.min_max_variable_partitioner':
'tf.compat.v1.min_max_variable_partitioner',
'tf.mixed_precision.DynamicLossScale':
'tf.compat.v1.mixed_precision.DynamicLossScale',
'tf.mixed_precision.FixedLossScale':
'tf.compat.v1.mixed_precision.FixedLossScale',
'tf.mixed_precision.LossScale':
'tf.compat.v1.mixed_precision.LossScale',
'tf.mixed_precision.MixedPrecisionLossScaleOptimizer':
'tf.compat.v1.mixed_precision.MixedPrecisionLossScaleOptimizer',
'tf.mixed_precision.disable_mixed_precision_graph_rewrite':
'tf.compat.v1.mixed_precision.disable_mixed_precision_graph_rewrite',
'tf.mixed_precision.enable_mixed_precision_graph_rewrite':
'tf.compat.v1.mixed_precision.enable_mixed_precision_graph_rewrite',
'tf.mixed_precision.experimental.DynamicLossScale':
'tf.compat.v1.mixed_precision.experimental.DynamicLossScale',
'tf.mixed_precision.experimental.FixedLossScale':
'tf.compat.v1.mixed_precision.experimental.FixedLossScale',
'tf.mixed_precision.experimental.LossScale':
'tf.compat.v1.mixed_precision.experimental.LossScale',
'tf.mod':
'tf.math.floormod',
'tf.model_variables':
'tf.compat.v1.model_variables',
'tf.moving_average_variables':
'tf.compat.v1.moving_average_variables',
'tf.nn.avg_pool_v2':
'tf.nn.avg_pool',
'tf.nn.bidirectional_dynamic_rnn':
'tf.compat.v1.nn.bidirectional_dynamic_rnn',
'tf.nn.conv2d_backprop_filter':
'tf.compat.v1.nn.conv2d_backprop_filter',
'tf.nn.conv3d_backprop_filter':
'tf.compat.v1.nn.conv3d_backprop_filter',
'tf.nn.conv3d_backprop_filter_v2':
'tf.compat.v1.nn.conv3d_backprop_filter_v2',
'tf.nn.ctc_beam_search_decoder_v2':
'tf.nn.ctc_beam_search_decoder',
'tf.nn.ctc_loss_v2':
'tf.compat.v1.nn.ctc_loss_v2',
'tf.nn.depthwise_conv2d_native':
'tf.compat.v1.nn.depthwise_conv2d_native',
'tf.nn.depthwise_conv2d_native_backprop_filter':
'tf.nn.depthwise_conv2d_backprop_filter',
'tf.nn.depthwise_conv2d_native_backprop_input':
'tf.nn.depthwise_conv2d_backprop_input',
'tf.nn.dynamic_rnn':
'tf.compat.v1.nn.dynamic_rnn',
'tf.nn.log_uniform_candidate_sampler':
'tf.random.log_uniform_candidate_sampler',
'tf.nn.max_pool_v2':
'tf.nn.max_pool',
'tf.nn.quantized_avg_pool':
'tf.compat.v1.nn.quantized_avg_pool',
'tf.nn.quantized_conv2d':
'tf.compat.v1.nn.quantized_conv2d',
'tf.nn.quantized_max_pool':
'tf.compat.v1.nn.quantized_max_pool',
'tf.nn.quantized_relu_x':
'tf.compat.v1.nn.quantized_relu_x',
'tf.nn.raw_rnn':
'tf.compat.v1.nn.raw_rnn',
'tf.nn.relu_layer':
'tf.compat.v1.nn.relu_layer',
'tf.nn.rnn_cell.BasicLSTMCell':
'tf.compat.v1.nn.rnn_cell.BasicLSTMCell',
'tf.nn.rnn_cell.BasicRNNCell':
'tf.compat.v1.nn.rnn_cell.BasicRNNCell',
'tf.nn.rnn_cell.DeviceWrapper':
'tf.compat.v1.nn.rnn_cell.DeviceWrapper',
'tf.nn.rnn_cell.DropoutWrapper':
'tf.compat.v1.nn.rnn_cell.DropoutWrapper',
'tf.nn.rnn_cell.GRUCell':
'tf.compat.v1.nn.rnn_cell.GRUCell',
'tf.nn.rnn_cell.LSTMCell':
'tf.compat.v1.nn.rnn_cell.LSTMCell',
'tf.nn.rnn_cell.LSTMStateTuple':
'tf.compat.v1.nn.rnn_cell.LSTMStateTuple',
'tf.nn.rnn_cell.MultiRNNCell':
'tf.compat.v1.nn.rnn_cell.MultiRNNCell',
'tf.nn.rnn_cell.RNNCell':
'tf.compat.v1.nn.rnn_cell.RNNCell',
'tf.nn.rnn_cell.ResidualWrapper':
'tf.compat.v1.nn.rnn_cell.ResidualWrapper',
'tf.nn.static_bidirectional_rnn':
'tf.compat.v1.nn.static_bidirectional_rnn',
'tf.nn.static_rnn':
'tf.compat.v1.nn.static_rnn',
'tf.nn.static_state_saving_rnn':
'tf.compat.v1.nn.static_state_saving_rnn',
'tf.nn.uniform_candidate_sampler':
'tf.random.uniform_candidate_sampler',
'tf.nn.xw_plus_b':
'tf.compat.v1.nn.xw_plus_b',
'tf.no_regularizer':
'tf.compat.v1.no_regularizer',
'tf.op_scope':
'tf.compat.v1.op_scope',
'tf.parse_single_sequence_example':
'tf.io.parse_single_sequence_example',
'tf.parse_tensor':
'tf.io.parse_tensor',
'tf.placeholder':
'tf.compat.v1.placeholder',
'tf.placeholder_with_default':
'tf.compat.v1.placeholder_with_default',
'tf.polygamma':
'tf.math.polygamma',
'tf.profiler.AdviceProto':
'tf.compat.v1.profiler.AdviceProto',
'tf.profiler.GraphNodeProto':
'tf.compat.v1.profiler.GraphNodeProto',
'tf.profiler.MultiGraphNodeProto':
'tf.compat.v1.profiler.MultiGraphNodeProto',
'tf.profiler.OpLogProto':
'tf.compat.v1.profiler.OpLogProto',
'tf.profiler.ProfileOptionBuilder':
'tf.compat.v1.profiler.ProfileOptionBuilder',
'tf.profiler.Profiler':
'tf.compat.v1.profiler.Profiler',
'tf.profiler.advise':
'tf.compat.v1.profiler.advise',
'tf.profiler.profile':
'tf.compat.v1.profiler.profile',
'tf.profiler.write_op_log':
'tf.compat.v1.profiler.write_op_log',
'tf.py_func':
'tf.compat.v1.py_func',
'tf.python_io.TFRecordCompressionType':
'tf.compat.v1.python_io.TFRecordCompressionType',
'tf.python_io.TFRecordOptions':
'tf.io.TFRecordOptions',
'tf.python_io.TFRecordWriter':
'tf.io.TFRecordWriter',
'tf.python_io.tf_record_iterator':
'tf.compat.v1.python_io.tf_record_iterator',
'tf.qr':
'tf.linalg.qr',
'tf.quantize':
'tf.quantization.quantize',
'tf.quantized_concat':
'tf.quantization.quantized_concat',
'tf.ragged.RaggedTensorValue':
'tf.compat.v1.ragged.RaggedTensorValue',
'tf.ragged.constant_value':
'tf.compat.v1.ragged.constant_value',
'tf.ragged.placeholder':
'tf.compat.v1.ragged.placeholder',
'tf.random.get_seed':
'tf.compat.v1.random.get_seed',
'tf.random.set_random_seed':
'tf.compat.v1.random.set_random_seed',
'tf.random_crop':
'tf.image.random_crop',
'tf.random_gamma':
'tf.random.gamma',
'tf.random_normal':
'tf.random.normal',
'tf.random_poisson':
'tf.random.poisson',
'tf.random_shuffle':
'tf.random.shuffle',
'tf.random_uniform':
'tf.random.uniform',
'tf.read_file':
'tf.io.read_file',
'tf.real':
'tf.math.real',
'tf.reciprocal':
'tf.math.reciprocal',
'tf.regex_replace':
'tf.strings.regex_replace',
'tf.report_uninitialized_variables':
'tf.compat.v1.report_uninitialized_variables',
'tf.reset_default_graph':
'tf.compat.v1.reset_default_graph',
'tf.resource_loader.get_data_files_path':
'tf.compat.v1.resource_loader.get_data_files_path',
'tf.resource_loader.get_path_to_datafile':
'tf.compat.v1.resource_loader.get_path_to_datafile',
'tf.resource_loader.get_root_dir_with_all_resources':
'tf.compat.v1.resource_loader.get_root_dir_with_all_resources',
'tf.resource_loader.load_resource':
'tf.compat.v1.resource_loader.load_resource',
'tf.resource_loader.readahead_file_path':
'tf.compat.v1.resource_loader.readahead_file_path',
'tf.resource_variables_enabled':
'tf.compat.v1.resource_variables_enabled',
'tf.reverse_v2':
'tf.reverse',
'tf.rint':
'tf.math.rint',
'tf.rsqrt':
'tf.math.rsqrt',
'tf.saved_model.Builder':
'tf.compat.v1.saved_model.Builder',
'tf.saved_model.LEGACY_INIT_OP_KEY':
'tf.compat.v1.saved_model.LEGACY_INIT_OP_KEY',
'tf.saved_model.MAIN_OP_KEY':
'tf.compat.v1.saved_model.MAIN_OP_KEY',
'tf.saved_model.build_signature_def':
'tf.compat.v1.saved_model.build_signature_def',
'tf.saved_model.build_tensor_info':
'tf.compat.v1.saved_model.build_tensor_info',
'tf.saved_model.builder.SavedModelBuilder':
'tf.compat.v1.saved_model.builder.SavedModelBuilder',
'tf.saved_model.classification_signature_def':
'tf.compat.v1.saved_model.classification_signature_def',
'tf.saved_model.constants.ASSETS_DIRECTORY':
'tf.saved_model.ASSETS_DIRECTORY',
'tf.saved_model.constants.ASSETS_KEY':
'tf.saved_model.ASSETS_KEY',
'tf.saved_model.constants.DEBUG_DIRECTORY':
'tf.saved_model.DEBUG_DIRECTORY',
'tf.saved_model.constants.DEBUG_INFO_FILENAME_PB':
'tf.saved_model.DEBUG_INFO_FILENAME_PB',
'tf.saved_model.constants.LEGACY_INIT_OP_KEY':
'tf.compat.v1.saved_model.constants.LEGACY_INIT_OP_KEY',
'tf.saved_model.constants.MAIN_OP_KEY':
'tf.compat.v1.saved_model.constants.MAIN_OP_KEY',
'tf.saved_model.constants.SAVED_MODEL_FILENAME_PB':
'tf.saved_model.SAVED_MODEL_FILENAME_PB',
'tf.saved_model.constants.SAVED_MODEL_FILENAME_PBTXT':
'tf.saved_model.SAVED_MODEL_FILENAME_PBTXT',
'tf.saved_model.constants.SAVED_MODEL_SCHEMA_VERSION':
'tf.saved_model.SAVED_MODEL_SCHEMA_VERSION',
'tf.saved_model.constants.VARIABLES_DIRECTORY':
'tf.saved_model.VARIABLES_DIRECTORY',
'tf.saved_model.constants.VARIABLES_FILENAME':
'tf.saved_model.VARIABLES_FILENAME',
'tf.saved_model.experimental.save':
'tf.saved_model.save',
'tf.saved_model.get_tensor_from_tensor_info':
'tf.compat.v1.saved_model.get_tensor_from_tensor_info',
'tf.saved_model.is_valid_signature':
'tf.compat.v1.saved_model.is_valid_signature',
'tf.saved_model.loader.maybe_saved_model_directory':
'tf.saved_model.contains_saved_model',
'tf.saved_model.main_op.main_op':
'tf.compat.v1.saved_model.main_op.main_op',
'tf.saved_model.main_op.main_op_with_restore':
'tf.compat.v1.saved_model.main_op.main_op_with_restore',
'tf.saved_model.main_op_with_restore':
'tf.compat.v1.saved_model.main_op_with_restore',
'tf.saved_model.maybe_saved_model_directory':
'tf.saved_model.contains_saved_model',
'tf.saved_model.predict_signature_def':
'tf.compat.v1.saved_model.predict_signature_def',
'tf.saved_model.regression_signature_def':
'tf.compat.v1.saved_model.regression_signature_def',
'tf.saved_model.signature_constants.CLASSIFY_INPUTS':
'tf.saved_model.CLASSIFY_INPUTS',
'tf.saved_model.signature_constants.CLASSIFY_METHOD_NAME':
'tf.saved_model.CLASSIFY_METHOD_NAME',
'tf.saved_model.signature_constants.CLASSIFY_OUTPUT_CLASSES':
'tf.saved_model.CLASSIFY_OUTPUT_CLASSES',
'tf.saved_model.signature_constants.CLASSIFY_OUTPUT_SCORES':
'tf.saved_model.CLASSIFY_OUTPUT_SCORES',
'tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY':
'tf.saved_model.DEFAULT_SERVING_SIGNATURE_DEF_KEY',
'tf.saved_model.signature_constants.PREDICT_INPUTS':
'tf.saved_model.PREDICT_INPUTS',
'tf.saved_model.signature_constants.PREDICT_METHOD_NAME':
'tf.saved_model.PREDICT_METHOD_NAME',
'tf.saved_model.signature_constants.PREDICT_OUTPUTS':
'tf.saved_model.PREDICT_OUTPUTS',
'tf.saved_model.signature_constants.REGRESS_INPUTS':
'tf.saved_model.REGRESS_INPUTS',
'tf.saved_model.signature_constants.REGRESS_METHOD_NAME':
'tf.saved_model.REGRESS_METHOD_NAME',
'tf.saved_model.signature_constants.REGRESS_OUTPUTS':
'tf.saved_model.REGRESS_OUTPUTS',
'tf.saved_model.signature_def_utils.MethodNameUpdater':
'tf.compat.v1.saved_model.signature_def_utils.MethodNameUpdater',
'tf.saved_model.signature_def_utils.build_signature_def':
'tf.compat.v1.saved_model.signature_def_utils.build_signature_def',
'tf.saved_model.signature_def_utils.classification_signature_def':
'tf.compat.v1.saved_model.signature_def_utils.classification_signature_def',
'tf.saved_model.signature_def_utils.is_valid_signature':
'tf.compat.v1.saved_model.signature_def_utils.is_valid_signature',
'tf.saved_model.signature_def_utils.predict_signature_def':
'tf.compat.v1.saved_model.signature_def_utils.predict_signature_def',
'tf.saved_model.signature_def_utils.regression_signature_def':
'tf.compat.v1.saved_model.signature_def_utils.regression_signature_def',
'tf.saved_model.simple_save':
'tf.compat.v1.saved_model.simple_save',
'tf.saved_model.tag_constants.GPU':
'tf.saved_model.GPU',
'tf.saved_model.tag_constants.SERVING':
'tf.saved_model.SERVING',
'tf.saved_model.tag_constants.TPU':
'tf.saved_model.TPU',
'tf.saved_model.tag_constants.TRAINING':
'tf.saved_model.TRAINING',
'tf.saved_model.utils.build_tensor_info':
'tf.compat.v1.saved_model.utils.build_tensor_info',
'tf.saved_model.utils.get_tensor_from_tensor_info':
'tf.compat.v1.saved_model.utils.get_tensor_from_tensor_info',
'tf.scatter_add':
'tf.compat.v1.scatter_add',
'tf.scatter_div':
'tf.compat.v1.scatter_div',
'tf.scatter_max':
'tf.compat.v1.scatter_max',
'tf.scatter_min':
'tf.compat.v1.scatter_min',
'tf.scatter_mul':
'tf.compat.v1.scatter_mul',
'tf.scatter_nd_add':
'tf.compat.v1.scatter_nd_add',
'tf.scatter_nd_sub':
'tf.compat.v1.scatter_nd_sub',
'tf.scatter_nd_update':
'tf.compat.v1.scatter_nd_update',
'tf.scatter_sub':
'tf.compat.v1.scatter_sub',
'tf.scatter_update':
'tf.compat.v1.scatter_update',
'tf.segment_max':
'tf.math.segment_max',
'tf.segment_mean':
'tf.math.segment_mean',
'tf.segment_min':
'tf.math.segment_min',
'tf.segment_prod':
'tf.math.segment_prod',
'tf.segment_sum':
'tf.math.segment_sum',
'tf.self_adjoint_eig':
'tf.linalg.eigh',
'tf.self_adjoint_eigvals':
'tf.linalg.eigvalsh',
'tf.serialize_many_sparse':
'tf.io.serialize_many_sparse',
'tf.serialize_sparse':
'tf.io.serialize_sparse',
'tf.serialize_tensor':
'tf.io.serialize_tensor',
'tf.set_random_seed':
'tf.compat.v1.set_random_seed',
'tf.setdiff1d':
'tf.compat.v1.setdiff1d',
'tf.sets.set_difference':
'tf.sets.difference',
'tf.sets.set_intersection':
'tf.sets.intersection',
'tf.sets.set_size':
'tf.sets.size',
'tf.sets.set_union':
'tf.sets.union',
'tf.space_to_depth':
'tf.nn.space_to_depth',
'tf.sparse.SparseConditionalAccumulator':
'tf.compat.v1.sparse.SparseConditionalAccumulator',
'tf.sparse.matmul':
'tf.sparse.sparse_dense_matmul',
'tf.sparse.merge':
'tf.compat.v1.sparse.merge',
'tf.sparse.placeholder':
'tf.compat.v1.sparse.placeholder',
'tf.sparse.reduce_max_sparse':
'tf.compat.v1.sparse.reduce_max_sparse',
'tf.sparse.reduce_sum_sparse':
'tf.compat.v1.sparse.reduce_sum_sparse',
'tf.sparse_add':
'tf.sparse.add',
'tf.sparse_concat':
'tf.sparse.concat',
'tf.sparse_fill_empty_rows':
'tf.sparse.fill_empty_rows',
'tf.sparse_mask':
'tf.sparse.mask',
'tf.sparse_maximum':
'tf.sparse.maximum',
'tf.sparse_merge':
'tf.compat.v1.sparse_merge',
'tf.sparse_minimum':
'tf.sparse.minimum',
'tf.sparse_placeholder':
'tf.compat.v1.sparse_placeholder',
'tf.sparse_reduce_max':
'tf.sparse.reduce_max',
'tf.sparse_reduce_max_sparse':
'tf.compat.v1.sparse_reduce_max_sparse',
'tf.sparse_reduce_sum':
'tf.sparse.reduce_sum',
'tf.sparse_reduce_sum_sparse':
'tf.compat.v1.sparse_reduce_sum_sparse',
'tf.sparse_reorder':
'tf.sparse.reorder',
'tf.sparse_reset_shape':
'tf.sparse.reset_shape',
'tf.sparse_reshape':
'tf.sparse.reshape',
'tf.sparse_retain':
'tf.sparse.retain',
'tf.sparse_segment_mean':
'tf.sparse.segment_mean',
'tf.sparse_segment_sqrt_n':
'tf.sparse.segment_sqrt_n',
'tf.sparse_segment_sum':
'tf.sparse.segment_sum',
'tf.sparse_slice':
'tf.sparse.slice',
'tf.sparse_softmax':
'tf.sparse.softmax',
'tf.sparse_split':
'tf.sparse.split',
'tf.sparse_tensor_dense_matmul':
'tf.sparse.sparse_dense_matmul',
'tf.sparse_tensor_to_dense':
'tf.sparse.to_dense',
'tf.sparse_to_dense':
'tf.compat.v1.sparse_to_dense',
'tf.sparse_to_indicator':
'tf.sparse.to_indicator',
'tf.sparse_transpose':
'tf.sparse.transpose',
'tf.spectral.dct':
'tf.signal.dct',
'tf.spectral.fft':
'tf.signal.fft',
'tf.spectral.fft2d':
'tf.signal.fft2d',
'tf.spectral.fft3d':
'tf.signal.fft3d',
'tf.spectral.idct':
'tf.signal.idct',
'tf.spectral.ifft':
'tf.signal.ifft',
'tf.spectral.ifft2d':
'tf.signal.ifft2d',
'tf.spectral.ifft3d':
'tf.signal.ifft3d',
'tf.spectral.irfft':
'tf.signal.irfft',
'tf.spectral.irfft2d':
'tf.signal.irfft2d',
'tf.spectral.irfft3d':
'tf.signal.irfft3d',
'tf.spectral.rfft':
'tf.signal.rfft',
'tf.spectral.rfft2d':
'tf.signal.rfft2d',
'tf.spectral.rfft3d':
'tf.signal.rfft3d',
'tf.squared_difference':
'tf.math.squared_difference',
'tf.string_join':
'tf.strings.join',
'tf.string_strip':
'tf.strings.strip',
'tf.string_to_hash_bucket_fast':
'tf.strings.to_hash_bucket_fast',
'tf.string_to_hash_bucket_strong':
'tf.strings.to_hash_bucket_strong',
'tf.summary.Event':
'tf.compat.v1.summary.Event',
'tf.summary.FileWriter':
'tf.compat.v1.summary.FileWriter',
'tf.summary.FileWriterCache':
'tf.compat.v1.summary.FileWriterCache',
'tf.summary.SessionLog':
'tf.compat.v1.summary.SessionLog',
'tf.summary.Summary':
'tf.compat.v1.summary.Summary',
'tf.summary.SummaryDescription':
'tf.compat.v1.summary.SummaryDescription',
'tf.summary.TaggedRunMetadata':
'tf.compat.v1.summary.TaggedRunMetadata',
'tf.summary.all_v2_summary_ops':
'tf.compat.v1.summary.all_v2_summary_ops',
'tf.summary.get_summary_description':
'tf.compat.v1.summary.get_summary_description',
'tf.summary.initialize':
'tf.compat.v1.summary.initialize',
'tf.summary.merge':
'tf.compat.v1.summary.merge',
'tf.summary.merge_all':
'tf.compat.v1.summary.merge_all',
'tf.summary.tensor_summary':
'tf.compat.v1.summary.tensor_summary',
'tf.svd':
'tf.linalg.svd',
'tf.tables_initializer':
'tf.compat.v1.tables_initializer',
'tf.tensor_scatter_add':
'tf.tensor_scatter_nd_add',
'tf.tensor_scatter_sub':
'tf.tensor_scatter_nd_sub',
'tf.tensor_scatter_update':
'tf.tensor_scatter_nd_update',
'tf.test.StubOutForTesting':
'tf.compat.v1.test.StubOutForTesting',
'tf.test.compute_gradient_error':
'tf.compat.v1.test.compute_gradient_error',
'tf.test.get_temp_dir':
'tf.compat.v1.test.get_temp_dir',
'tf.test.mock':
'tf.compat.v1.test.mock',
'tf.test.test_src_dir_path':
'tf.compat.v1.test.test_src_dir_path',
'tf.to_bfloat16':
'tf.compat.v1.to_bfloat16',
'tf.to_complex128':
'tf.compat.v1.to_complex128',
'tf.to_complex64':
'tf.compat.v1.to_complex64',
'tf.to_double':
'tf.compat.v1.to_double',
'tf.to_float':
'tf.compat.v1.to_float',
'tf.to_int32':
'tf.compat.v1.to_int32',
'tf.to_int64':
'tf.compat.v1.to_int64',
'tf.tpu.CrossShardOptimizer':
'tf.compat.v1.tpu.CrossShardOptimizer',
'tf.tpu.PaddingSpec':
'tf.compat.v1.tpu.PaddingSpec',
'tf.tpu.batch_parallel':
'tf.compat.v1.tpu.batch_parallel',
'tf.tpu.bfloat16_scope':
'tf.compat.v1.tpu.bfloat16_scope',
'tf.tpu.core':
'tf.compat.v1.tpu.core',
'tf.tpu.cross_replica_sum':
'tf.compat.v1.tpu.cross_replica_sum',
'tf.tpu.experimental.AdagradParameters':
'tf.compat.v1.tpu.experimental.AdagradParameters',
'tf.tpu.experimental.AdamParameters':
'tf.compat.v1.tpu.experimental.AdamParameters',
'tf.tpu.experimental.FtrlParameters':
'tf.compat.v1.tpu.experimental.FtrlParameters',
'tf.tpu.experimental.StochasticGradientDescentParameters':
'tf.compat.v1.tpu.experimental.StochasticGradientDescentParameters',
'tf.tpu.experimental.embedding_column':
'tf.compat.v1.tpu.experimental.embedding_column',
'tf.tpu.experimental.shared_embedding_columns':
'tf.compat.v1.tpu.experimental.shared_embedding_columns',
'tf.tpu.initialize_system':
'tf.compat.v1.tpu.initialize_system',
'tf.tpu.outside_compilation':
'tf.compat.v1.tpu.outside_compilation',
'tf.tpu.replicate':
'tf.compat.v1.tpu.replicate',
'tf.tpu.rewrite':
'tf.compat.v1.tpu.rewrite',
'tf.tpu.shard':
'tf.compat.v1.tpu.shard',
'tf.tpu.shutdown_system':
'tf.compat.v1.tpu.shutdown_system',
'tf.trace':
'tf.linalg.trace',
'tf.train.AdadeltaOptimizer':
'tf.compat.v1.train.AdadeltaOptimizer',
'tf.train.AdagradDAOptimizer':
'tf.compat.v1.train.AdagradDAOptimizer',
'tf.train.AdagradOptimizer':
'tf.compat.v1.train.AdagradOptimizer',
'tf.train.AdamOptimizer':
'tf.compat.v1.train.AdamOptimizer',
'tf.train.CheckpointSaverHook':
'tf.compat.v1.train.CheckpointSaverHook',
'tf.train.CheckpointSaverListener':
'tf.compat.v1.train.CheckpointSaverListener',
'tf.train.ChiefSessionCreator':
'tf.compat.v1.train.ChiefSessionCreator',
'tf.train.FeedFnHook':
'tf.compat.v1.train.FeedFnHook',
'tf.train.FinalOpsHook':
'tf.compat.v1.train.FinalOpsHook',
'tf.train.FtrlOptimizer':
'tf.compat.v1.train.FtrlOptimizer',
'tf.train.GlobalStepWaiterHook':
'tf.compat.v1.train.GlobalStepWaiterHook',
'tf.train.GradientDescentOptimizer':
'tf.compat.v1.train.GradientDescentOptimizer',
'tf.train.LoggingTensorHook':
'tf.compat.v1.train.LoggingTensorHook',
'tf.train.LooperThread':
'tf.compat.v1.train.LooperThread',
'tf.train.MomentumOptimizer':
'tf.compat.v1.train.MomentumOptimizer',
'tf.train.MonitoredSession':
'tf.compat.v1.train.MonitoredSession',
'tf.train.MonitoredTrainingSession':
'tf.compat.v1.train.MonitoredTrainingSession',
'tf.train.NanLossDuringTrainingError':
'tf.compat.v1.train.NanLossDuringTrainingError',
'tf.train.NanTensorHook':
'tf.compat.v1.train.NanTensorHook',
'tf.train.NewCheckpointReader':
'tf.compat.v1.train.NewCheckpointReader',
'tf.train.Optimizer':
'tf.compat.v1.train.Optimizer',
'tf.train.ProfilerHook':
'tf.compat.v1.train.ProfilerHook',
'tf.train.ProximalAdagradOptimizer':
'tf.compat.v1.train.ProximalAdagradOptimizer',
'tf.train.ProximalGradientDescentOptimizer':
'tf.compat.v1.train.ProximalGradientDescentOptimizer',
'tf.train.QueueRunner':
'tf.compat.v1.train.QueueRunner',
'tf.train.RMSPropOptimizer':
'tf.compat.v1.train.RMSPropOptimizer',
'tf.train.Saver':
'tf.compat.v1.train.Saver',
'tf.train.SaverDef':
'tf.compat.v1.train.SaverDef',
'tf.train.Scaffold':
'tf.compat.v1.train.Scaffold',
'tf.train.SecondOrStepTimer':
'tf.compat.v1.train.SecondOrStepTimer',
'tf.train.Server':
'tf.distribute.Server',
'tf.train.SessionCreator':
'tf.compat.v1.train.SessionCreator',
'tf.train.SessionManager':
'tf.compat.v1.train.SessionManager',
'tf.train.SessionRunArgs':
'tf.compat.v1.train.SessionRunArgs',
'tf.train.SessionRunContext':
'tf.compat.v1.train.SessionRunContext',
'tf.train.SessionRunHook':
'tf.compat.v1.train.SessionRunHook',
'tf.train.SessionRunValues':
'tf.compat.v1.train.SessionRunValues',
'tf.train.SingularMonitoredSession':
'tf.compat.v1.train.SingularMonitoredSession',
'tf.train.StepCounterHook':
'tf.compat.v1.train.StepCounterHook',
'tf.train.StopAtStepHook':
'tf.compat.v1.train.StopAtStepHook',
'tf.train.SummarySaverHook':
'tf.compat.v1.train.SummarySaverHook',
'tf.train.Supervisor':
'tf.compat.v1.train.Supervisor',
'tf.train.SyncReplicasOptimizer':
'tf.compat.v1.train.SyncReplicasOptimizer',
'tf.train.VocabInfo':
'tf.compat.v1.train.VocabInfo',
'tf.train.WorkerSessionCreator':
'tf.compat.v1.train.WorkerSessionCreator',
'tf.train.add_queue_runner':
'tf.compat.v1.train.add_queue_runner',
'tf.train.assert_global_step':
'tf.compat.v1.train.assert_global_step',
'tf.train.basic_train_loop':
'tf.compat.v1.train.basic_train_loop',
'tf.train.batch':
'tf.compat.v1.train.batch',
'tf.train.batch_join':
'tf.compat.v1.train.batch_join',
'tf.train.checkpoint_exists':
'tf.compat.v1.train.checkpoint_exists',
'tf.train.cosine_decay':
'tf.compat.v1.train.cosine_decay',
'tf.train.cosine_decay_restarts':
'tf.compat.v1.train.cosine_decay_restarts',
'tf.train.create_global_step':
'tf.compat.v1.train.create_global_step',
'tf.train.do_quantize_training_on_graphdef':
'tf.compat.v1.train.do_quantize_training_on_graphdef',
'tf.train.experimental.DynamicLossScale':
'tf.compat.v1.train.experimental.DynamicLossScale',
'tf.train.experimental.FixedLossScale':
'tf.compat.v1.train.experimental.FixedLossScale',
'tf.train.experimental.LossScale':
'tf.compat.v1.train.experimental.LossScale',
'tf.train.experimental.MixedPrecisionLossScaleOptimizer':
'tf.compat.v1.train.experimental.MixedPrecisionLossScaleOptimizer',
'tf.train.experimental.disable_mixed_precision_graph_rewrite':
'tf.compat.v1.train.experimental.disable_mixed_precision_graph_rewrite',
'tf.train.experimental.enable_mixed_precision_graph_rewrite':
'tf.compat.v1.train.experimental.enable_mixed_precision_graph_rewrite',
'tf.train.exponential_decay':
'tf.compat.v1.train.exponential_decay',
'tf.train.export_meta_graph':
'tf.compat.v1.train.export_meta_graph',
'tf.train.generate_checkpoint_state_proto':
'tf.compat.v1.train.generate_checkpoint_state_proto',
'tf.train.get_checkpoint_mtimes':
'tf.compat.v1.train.get_checkpoint_mtimes',
'tf.train.get_global_step':
'tf.compat.v1.train.get_global_step',
'tf.train.get_or_create_global_step':
'tf.compat.v1.train.get_or_create_global_step',
'tf.train.global_step':
'tf.compat.v1.train.global_step',
'tf.train.import_meta_graph':
'tf.compat.v1.train.import_meta_graph',
'tf.train.init_from_checkpoint':
'tf.compat.v1.train.init_from_checkpoint',
'tf.train.input_producer':
'tf.compat.v1.train.input_producer',
'tf.train.inverse_time_decay':
'tf.compat.v1.train.inverse_time_decay',
'tf.train.limit_epochs':
'tf.compat.v1.train.limit_epochs',
'tf.train.linear_cosine_decay':
'tf.compat.v1.train.linear_cosine_decay',
'tf.train.match_filenames_once':
'tf.io.match_filenames_once',
'tf.train.maybe_batch':
'tf.compat.v1.train.maybe_batch',
'tf.train.maybe_batch_join':
'tf.compat.v1.train.maybe_batch_join',
'tf.train.maybe_shuffle_batch':
'tf.compat.v1.train.maybe_shuffle_batch',
'tf.train.maybe_shuffle_batch_join':
'tf.compat.v1.train.maybe_shuffle_batch_join',
'tf.train.natural_exp_decay':
'tf.compat.v1.train.natural_exp_decay',
'tf.train.noisy_linear_cosine_decay':
'tf.compat.v1.train.noisy_linear_cosine_decay',
'tf.train.piecewise_constant':
'tf.compat.v1.train.piecewise_constant',
'tf.train.piecewise_constant_decay':
'tf.compat.v1.train.piecewise_constant_decay',
'tf.train.polynomial_decay':
'tf.compat.v1.train.polynomial_decay',
'tf.train.queue_runner.QueueRunner':
'tf.compat.v1.train.queue_runner.QueueRunner',
'tf.train.queue_runner.add_queue_runner':
'tf.compat.v1.train.queue_runner.add_queue_runner',
'tf.train.queue_runner.start_queue_runners':
'tf.compat.v1.train.queue_runner.start_queue_runners',
'tf.train.range_input_producer':
'tf.compat.v1.train.range_input_producer',
'tf.train.remove_checkpoint':
'tf.compat.v1.train.remove_checkpoint',
'tf.train.replica_device_setter':
'tf.compat.v1.train.replica_device_setter',
'tf.train.shuffle_batch':
'tf.compat.v1.train.shuffle_batch',
'tf.train.shuffle_batch_join':
'tf.compat.v1.train.shuffle_batch_join',
'tf.train.slice_input_producer':
'tf.compat.v1.train.slice_input_producer',
'tf.train.start_queue_runners':
'tf.compat.v1.train.start_queue_runners',
'tf.train.string_input_producer':
'tf.compat.v1.train.string_input_producer',
'tf.train.summary_iterator':
'tf.compat.v1.train.summary_iterator',
'tf.train.update_checkpoint_state':
'tf.compat.v1.train.update_checkpoint_state',
'tf.train.warm_start':
'tf.compat.v1.train.warm_start',
'tf.train.write_graph':
'tf.io.write_graph',
'tf.trainable_variables':
'tf.compat.v1.trainable_variables',
'tf.truncated_normal':
'tf.random.truncated_normal',
'tf.uniform_unit_scaling_initializer':
'tf.compat.v1.uniform_unit_scaling_initializer',
'tf.unsorted_segment_max':
'tf.math.unsorted_segment_max',
'tf.unsorted_segment_mean':
'tf.math.unsorted_segment_mean',
'tf.unsorted_segment_min':
'tf.math.unsorted_segment_min',
'tf.unsorted_segment_prod':
'tf.math.unsorted_segment_prod',
'tf.unsorted_segment_sqrt_n':
'tf.math.unsorted_segment_sqrt_n',
'tf.unsorted_segment_sum':
'tf.math.unsorted_segment_sum',
'tf.variable_axis_size_partitioner':
'tf.compat.v1.variable_axis_size_partitioner',
'tf.variable_op_scope':
'tf.compat.v1.variable_op_scope',
'tf.variable_scope':
'tf.compat.v1.variable_scope',
'tf.variables_initializer':
'tf.compat.v1.variables_initializer',
'tf.verify_tensor_all_finite':
'tf.debugging.assert_all_finite',
'tf.wrap_function':
'tf.compat.v1.wrap_function',
'tf.write_file':
'tf.io.write_file',
'tf.zeta':
'tf.math.zeta'
}