| # 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 build tensorflow/tools/compatibility/update:generate_v2_renames_map |
| bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map |
| This file should be updated whenever endpoints are deprecated. |
| """ |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| 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.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_greater_equal': |
| 'tf.compat.v1.assert_greater_equal', |
| 'tf.assert_integer': |
| 'tf.compat.v1.assert_integer', |
| 'tf.assert_less_equal': |
| 'tf.compat.v1.assert_less_equal', |
| 'tf.assert_near': |
| 'tf.compat.v1.assert_near', |
| 'tf.assert_negative': |
| 'tf.compat.v1.assert_negative', |
| 'tf.assert_non_negative': |
| 'tf.compat.v1.assert_non_negative', |
| 'tf.assert_non_positive': |
| 'tf.compat.v1.assert_non_positive', |
| 'tf.assert_none_equal': |
| 'tf.compat.v1.assert_none_equal', |
| 'tf.assert_positive': |
| 'tf.compat.v1.assert_positive', |
| 'tf.assert_proper_iterable': |
| 'tf.debugging.assert_proper_iterable', |
| 'tf.assert_rank_at_least': |
| 'tf.compat.v1.assert_rank_at_least', |
| 'tf.assert_rank_in': |
| 'tf.compat.v1.assert_rank_in', |
| 'tf.assert_same_float_dtype': |
| 'tf.debugging.assert_same_float_dtype', |
| 'tf.assert_scalar': |
| 'tf.compat.v1.assert_scalar', |
| 'tf.assert_type': |
| 'tf.compat.v1.assert_type', |
| 'tf.assert_variables_initialized': |
| 'tf.compat.v1.assert_variables_initialized', |
| '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.decode_raw': |
| 'tf.io.decode_raw', |
| 'tf.delete_session_tensor': |
| 'tf.compat.v1.delete_session_tensor', |
| 'tf.depth_to_space': |
| 'tf.compat.v1.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_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_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.estimator.experimental.KMeans': |
| 'tf.compat.v1.estimator.experimental.KMeans', |
| 'tf.estimator.experimental.dnn_logit_fn_builder': |
| 'tf.compat.v1.estimator.experimental.dnn_logit_fn_builder', |
| 'tf.estimator.experimental.linear_logit_fn_builder': |
| 'tf.compat.v1.estimator.experimental.linear_logit_fn_builder', |
| 'tf.estimator.inputs.numpy_input_fn': |
| 'tf.compat.v1.estimator.inputs.numpy_input_fn', |
| 'tf.estimator.inputs.pandas_input_fn': |
| 'tf.compat.v1.estimator.inputs.pandas_input_fn', |
| 'tf.estimator.tpu.InputPipelineConfig': |
| 'tf.compat.v1.estimator.tpu.InputPipelineConfig', |
| 'tf.estimator.tpu.RunConfig': |
| 'tf.compat.v1.estimator.tpu.RunConfig', |
| 'tf.estimator.tpu.TPUConfig': |
| 'tf.compat.v1.estimator.tpu.TPUConfig', |
| 'tf.estimator.tpu.TPUEstimator': |
| 'tf.compat.v1.estimator.tpu.TPUEstimator', |
| 'tf.estimator.tpu.TPUEstimatorSpec': |
| 'tf.compat.v1.estimator.tpu.TPUEstimatorSpec', |
| 'tf.estimator.tpu.experimental.EmbeddingSpec': |
| 'tf.compat.v1.estimator.tpu.experimental.EmbeddingSpec', |
| '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.floor_div': |
| 'tf.compat.v1.floor_div', |
| '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.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.layers.AveragePooling1D': |
| 'tf.compat.v1.layers.AveragePooling1D', |
| 'tf.layers.AveragePooling2D': |
| 'tf.compat.v1.layers.AveragePooling2D', |
| 'tf.layers.AveragePooling3D': |
| 'tf.compat.v1.layers.AveragePooling3D', |
| 'tf.layers.BatchNormalization': |
| 'tf.compat.v1.layers.BatchNormalization', |
| 'tf.layers.Conv1D': |
| 'tf.compat.v1.layers.Conv1D', |
| 'tf.layers.Conv2D': |
| 'tf.compat.v1.layers.Conv2D', |
| 'tf.layers.Conv2DTranspose': |
| 'tf.compat.v1.layers.Conv2DTranspose', |
| 'tf.layers.Conv3D': |
| 'tf.compat.v1.layers.Conv3D', |
| 'tf.layers.Conv3DTranspose': |
| 'tf.compat.v1.layers.Conv3DTranspose', |
| 'tf.layers.Dense': |
| 'tf.compat.v1.layers.Dense', |
| 'tf.layers.Dropout': |
| 'tf.compat.v1.layers.Dropout', |
| 'tf.layers.Flatten': |
| 'tf.compat.v1.layers.Flatten', |
| 'tf.layers.InputSpec': |
| 'tf.keras.layers.InputSpec', |
| 'tf.layers.Layer': |
| 'tf.compat.v1.layers.Layer', |
| 'tf.layers.MaxPooling1D': |
| 'tf.compat.v1.layers.MaxPooling1D', |
| 'tf.layers.MaxPooling2D': |
| 'tf.compat.v1.layers.MaxPooling2D', |
| 'tf.layers.MaxPooling3D': |
| 'tf.compat.v1.layers.MaxPooling3D', |
| 'tf.layers.SeparableConv1D': |
| 'tf.compat.v1.layers.SeparableConv1D', |
| 'tf.layers.SeparableConv2D': |
| 'tf.compat.v1.layers.SeparableConv2D', |
| 'tf.layers.average_pooling1d': |
| 'tf.compat.v1.layers.average_pooling1d', |
| 'tf.layers.average_pooling2d': |
| 'tf.compat.v1.layers.average_pooling2d', |
| 'tf.layers.average_pooling3d': |
| 'tf.compat.v1.layers.average_pooling3d', |
| 'tf.layers.batch_normalization': |
| 'tf.compat.v1.layers.batch_normalization', |
| 'tf.layers.conv1d': |
| 'tf.compat.v1.layers.conv1d', |
| 'tf.layers.conv2d': |
| 'tf.compat.v1.layers.conv2d', |
| 'tf.layers.conv2d_transpose': |
| 'tf.compat.v1.layers.conv2d_transpose', |
| 'tf.layers.conv3d': |
| 'tf.compat.v1.layers.conv3d', |
| 'tf.layers.conv3d_transpose': |
| 'tf.compat.v1.layers.conv3d_transpose', |
| 'tf.layers.dense': |
| 'tf.compat.v1.layers.dense', |
| 'tf.layers.dropout': |
| 'tf.compat.v1.layers.dropout', |
| 'tf.layers.experimental.keras_style_scope': |
| 'tf.compat.v1.layers.experimental.keras_style_scope', |
| 'tf.layers.experimental.set_keras_style': |
| 'tf.compat.v1.layers.experimental.set_keras_style', |
| 'tf.layers.flatten': |
| 'tf.compat.v1.layers.flatten', |
| 'tf.layers.max_pooling1d': |
| 'tf.compat.v1.layers.max_pooling1d', |
| 'tf.layers.max_pooling2d': |
| 'tf.compat.v1.layers.max_pooling2d', |
| 'tf.layers.max_pooling3d': |
| 'tf.compat.v1.layers.max_pooling3d', |
| 'tf.layers.separable_conv1d': |
| 'tf.compat.v1.layers.separable_conv1d', |
| 'tf.layers.separable_conv2d': |
| 'tf.compat.v1.layers.separable_conv2d', |
| '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.INT8': |
| 'tf.compat.v1.lite.constants.INT8', |
| '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.experimental.get_potentially_supported_ops': |
| 'tf.compat.v1.lite.experimental.get_potentially_supported_ops', |
| 'tf.lite.experimental.nn.TFLiteLSTMCell': |
| 'tf.compat.v1.lite.experimental.nn.TFLiteLSTMCell', |
| 'tf.lite.experimental.nn.TfLiteRNNCell': |
| 'tf.compat.v1.lite.experimental.nn.TfLiteRNNCell', |
| 'tf.lite.experimental.nn.dynamic_rnn': |
| 'tf.compat.v1.lite.experimental.nn.dynamic_rnn', |
| '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.make_tensor_proto': |
| 'tf.compat.v1.make_tensor_proto', |
| 'tf.manip.gather_nd': |
| 'tf.compat.v1.manip.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.mod': |
| 'tf.math.mod', |
| '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.nn.ctc_loss', |
| '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_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.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.load': |
| 'tf.compat.v1.saved_model.loader.load', |
| 'tf.saved_model.loader.maybe_saved_model_directory': |
| 'tf.compat.v1.saved_model.loader.maybe_saved_model_directory', |
| '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.compat.v1.saved_model.maybe_saved_model_directory', |
| '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.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.compat.v1.serialize_many_sparse', |
| 'tf.serialize_sparse': |
| 'tf.compat.v1.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.compat.v1.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_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_sparse': |
| 'tf.compat.v1.sparse_reduce_max_sparse', |
| '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.compat.v1.sparse_segment_mean', |
| 'tf.sparse_segment_sqrt_n': |
| 'tf.compat.v1.sparse_segment_sqrt_n', |
| 'tf.sparse_segment_sum': |
| 'tf.compat.v1.sparse_segment_sum', |
| 'tf.sparse_slice': |
| 'tf.sparse.slice', |
| 'tf.sparse_softmax': |
| 'tf.sparse.softmax', |
| '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.audio': |
| 'tf.compat.v1.summary.audio', |
| 'tf.summary.get_summary_description': |
| 'tf.compat.v1.summary.get_summary_description', |
| 'tf.summary.histogram': |
| 'tf.compat.v1.summary.histogram', |
| 'tf.summary.image': |
| 'tf.compat.v1.summary.image', |
| '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.scalar': |
| 'tf.compat.v1.summary.scalar', |
| 'tf.summary.tensor_summary': |
| 'tf.compat.v1.summary.tensor_summary', |
| 'tf.summary.text': |
| 'tf.compat.v1.summary.text', |
| '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.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.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.estimator.CheckpointSaverHook', |
| 'tf.train.CheckpointSaverListener': |
| 'tf.estimator.CheckpointSaverListener', |
| 'tf.train.ChiefSessionCreator': |
| 'tf.compat.v1.train.ChiefSessionCreator', |
| 'tf.train.FeedFnHook': |
| 'tf.estimator.FeedFnHook', |
| 'tf.train.FinalOpsHook': |
| 'tf.estimator.FinalOpsHook', |
| 'tf.train.FtrlOptimizer': |
| 'tf.compat.v1.train.FtrlOptimizer', |
| 'tf.train.GlobalStepWaiterHook': |
| 'tf.estimator.GlobalStepWaiterHook', |
| 'tf.train.GradientDescentOptimizer': |
| 'tf.compat.v1.train.GradientDescentOptimizer', |
| 'tf.train.LoggingTensorHook': |
| 'tf.estimator.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.estimator.NanLossDuringTrainingError', |
| 'tf.train.NanTensorHook': |
| 'tf.estimator.NanTensorHook', |
| 'tf.train.NewCheckpointReader': |
| 'tf.compat.v1.train.NewCheckpointReader', |
| 'tf.train.Optimizer': |
| 'tf.compat.v1.train.Optimizer', |
| 'tf.train.ProfilerHook': |
| 'tf.estimator.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.estimator.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.estimator.SessionRunArgs', |
| 'tf.train.SessionRunContext': |
| 'tf.estimator.SessionRunContext', |
| 'tf.train.SessionRunHook': |
| 'tf.estimator.SessionRunHook', |
| 'tf.train.SessionRunValues': |
| 'tf.estimator.SessionRunValues', |
| 'tf.train.SingularMonitoredSession': |
| 'tf.compat.v1.train.SingularMonitoredSession', |
| 'tf.train.StepCounterHook': |
| 'tf.estimator.StepCounterHook', |
| 'tf.train.StopAtStepHook': |
| 'tf.estimator.StopAtStepHook', |
| 'tf.train.SummarySaverHook': |
| 'tf.estimator.SummarySaverHook', |
| 'tf.train.Supervisor': |
| 'tf.compat.v1.train.Supervisor', |
| 'tf.train.SyncReplicasOptimizer': |
| 'tf.compat.v1.train.SyncReplicasOptimizer', |
| 'tf.train.VocabInfo': |
| 'tf.estimator.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.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.compat.v1.verify_tensor_all_finite', |
| 'tf.where_v2': |
| 'tf.where', |
| 'tf.wrap_function': |
| 'tf.compat.v1.wrap_function', |
| 'tf.write_file': |
| 'tf.io.write_file', |
| 'tf.zeta': |
| 'tf.math.zeta' |
| } |
