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Description
Hi, In model_search, inappropriate dependency versioning constraints can cause risks.
Below are the dependencies and version constraints that the project is using
six==1.15.0
sklearn==0.0
tensorflow==2.6.0
tensorflow-estimator==2.6.0
keras==2.6.0
absl-py==0.10.0
tf-slim==1.1.0
ml-metadata==0.26.0
keras-tuner==1.0.3
mock==4.0.3
The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict.
The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.
After further analysis, in this project,
The version constraint of dependency six can be changed to >=1.5.0,<=1.6.1.
The version constraint of dependency keras-tuner can be changed to >=1.0.3,<=1.1.3.
The above modification suggestions can reduce the dependency conflicts as much as possible,
and introduce the latest version as much as possible without calling Error in the projects.
The invocation of the current project includes all the following methods.
The calling methods from the six
six.iteritems
The calling methods from the keras-tuner
keras_tuner.HyperParameters keras_tuner.oracles.BayesianOptimizationOracle keras_tuner.HyperParameters.Choice keras_tuner.HyperParameters.Int keras_tuner.oracles.RandomSearchOracle keras_tuner.HyperParameters.merge keras_tuner.HyperParameters.Float
The calling methods from the all methods
absl.logging.warning _pad_to_match model.fit.fit AssertionError _merge_hparams.keys self._discount level.startswith self.get_polynomial_expansion.fill has_distillation self.batch_sample search_tower.hparams.CopyFrom numpy.random.randint input_layer_fn self._add_residual_connection absl.flags.DEFINE_float self._default_metric_fn_list.append _compute_tolerance tensorflow.compat.v2.compat.v1.layers.dropout tensorflow.compat.v2.compat.v1.logging.warning numpy.random.random _reuse_fail tensorflow.compat.v2.reshape self.get_polynomial_expansion.append NotImplementedError model_search.oss_trainer_lib.run_parameterized_train_and_eval self._save_architecture model_search.phoenix.Phoenix.get_estimator self.values suggest_and_create_architecture_fn metrics_dict.update as_bytes self._store.put_execution_type sklearn.preprocessing.OneHotEncoder set_parameter tensorflow.compat.v2.compat.v1.train.get_or_create_global_step lstm1.tf.keras.layers.RNN tensorflow.compat.v2.clip_by_global_norm inspect.isfunction _contains_row tensorflow.compat.v2.nn.bias_add sklearn.linear_model.Ridge init_variables ml_metadata.proto.metadata_store_pb2.ConnectionConfig issubclass tensorflow.compat.v1.keras.activations.serialize TypeError self.SearchCandidateGenerator.super.__init__ tensorflow.python.feature_column.feature_column_lib.is_feature_column_v2 as_str generators.keys tensorflow.compat.v1.expand_dims self.Estimator.super.evaluate.items kwargs.get self._kernel_size.tf.keras.layers.AveragePooling2D self._ensembler.bundle_logits self._add_projection_if_needed.get_shape tensorflow.compat.v2.compat.v1.tpu.CrossShardOptimizer towers.items set ml_metadata.metadata_store.MetadataStore scope.block_type.block_builder.BlockType.blocks.get_new tensorflow.compat.v2.keras.optimizers.SGD numpy.copy range tensorflow.compat.v2.nn.relu model_search.architecture.architecture_utils.construct_tower self.SvdfConvLayer.super.get_config self._kernel_size.tf.keras.layers.MaxPool2D reductions.append loss_fn getattr model_search.ensembler.Ensembler self._get_user_suggestion curve.lower activations.get_shape numpy.empty self._get_polynomial_expansion tensorflow.compat.v1.reshape input_indices_padded_np.tolist.append _make_auc_metric_fn coefficients.assignments.np.matmul.np.square.reshape model_search.registry.lookup_all ModelSearchTuner.search values_dict.items model_search.search.linear_model.LinearModel model_search.ops.svdf_cell.SvdfCell model_search.architecture.architecture_utils.get_architecture.copy get_hparams_from_dir search_space.np.meshgrid.np.array.T.reshape enum.IntEnum self._get_loss_fn get_dataset_provider.get_input_fn self._projection_size.tf.keras.layers.Dense tensorflow.compat.v2.feature_column.numeric_column input_tensors.get_shape.as_list input_tensor.get_shape.as_list hparam_def.hparam.items self._combine_previous_trial_variables var.assign self._init_from_proto self.generator_name model_search.oss_trainer_lib.loss_and_metric_and_predictions_fn model_search.search.common.write_fork_edge svdf_conv_layer FLAGS.is_parsed self._create_task_spec towers.values get_architecture absl.logging.info self.FullyConnectedPyramidBlock.super.__init__ self._add_reduction_blocks tensorflow.compat.v1.keras.backend.dropout setattr tensorflow.compat.v2.lookup.StaticVocabularyTable.lookup json.loads Task.add_initialization generator_name.task_towers.append output.update model_search.hparam.HParams.from_proto tensorflow.compat.v2.compat.v1.assign model_search.hparams.hyperparameters.Hyperparameters model_search.generators.trial_utils.is_adaptive_ensemble_search replay_spec.replay.towers.add self.get_feature_columns tensorflow.compat.v2.keras.layers.MaxPool2D InputSelector numpy.arange model_search.metric_fns.combine_metric_fns tensorflow.compat.v2.io.gfile.makedirs self.IncreaseChannelsBlock.super.__init__ shape.as_list.as_list cmath.exp features_dataset.repeat.shuffle dataset.cache.prefetch optimizer._OPTIMIZERS inspect.isclass self._head.loss extract_task_specific previous_architecture.copy model_search.block_builder.Blocks model_search.meta.distillation.Distiller numpy.flatnonzero numpy.unique model_search.architecture.architecture_utils.get_parameter keras_tuner.oracles.BayesianOptimizationOracle._set_project_dir train_losses.append train_dataset.cache.prefetch self._kernel_rank.tf.keras.layers.Dense self._task_manager.create_model_spec keras_tuner.oracles.BayesianOptimizationOracle.update_trial kind.name.hparam_proto.hparam.getattr.value.extend lstm.tf.keras.layers.RNN self.build_priors_distillation model_search.utils.last_activations_in_sequence registry.items model_search.architecture.architecture_utils.set_parameter self._metadata.after_generating_trial_model self.Tower.super.__init__ model_search.hparams.hyperparameters.Hyperparameters.merge self.RnnBlock.super.__init__ tensorflow.compat.v2.keras.layers.Conv2D tensorflow.compat.v2.keras.layers.AveragePooling2D task_tower tensorflow.compat.v2.compat.v1.nn.dynamic_rnn format self._remove_reduction_blocks tensorflow.compat.v2.strided_slice self.override_from_dict tensorflow.compat.v2.lookup.StaticVocabularyTable tensorflow.compat.v2.unstack os.path.join features_dataset.repeat.shuffle.repeat tensorflow.compat.v2.compat.v1.get_collection.items block_types_np.tolist.append model_search.proto.hparam_pb2.HParamDef phoenix_instance.get_estimator.export_saved_model keras_tuner.oracles.BayesianOptimizationOracle.end_trial tensorflow.compat.v2.compat.v1.train.SyncReplicasOptimizer.make_session_run_hook numpy.insert self.get_trial_dir GeneratorWithTrials name.split model_search.task_manager.TaskManager model_search.phoenix.Phoenix.get_tpu_estimator tensorflow.compat.v2.compat.v1.summary.image hooks_list.extend model_search.generators.trial_utils.write_replay_spec model_search.generators.trial_utils.is_residual_ensemble_search tensorflow.compat.v2.compat.v1.global_variables model_search.generators.prior_generator.PriorGenerator node.block_builder.block_build session.run tensorflow.compat.v2.compat.v1.placeholder self._dilation_rate.self._kernel_size.input_tensor.get_channel_dim.tf.keras.layers.Conv2D cls.LogitsSpec.super.__new__ _merge_hparams increase_structure_depth LogitsSpec HParams._get_kind_name self.AveragePoolBlock.super.__init__ numpy.abs self._load_trials model_search.data.data.register_provider self.create_logits_spec numpy.random.seed keras_tuner.HyperParameters.Choice replay_spec.replay.towers.add.CopyFrom self._write_model learning_rate_spec.get logits.get_shape.as_list ReplayState run_keras_parameterized_train_and_eval get_dataset_provider.get_serving_input_fn self.SvdfConvLayer.super.__init__ get_dataset_provider.number_of_classes self._replay_state.replay_is_training_a_tower _add_projection_if_needed msg.format tensorflow.compat.v2.size predictions_fn no_partion_map.keys tensorflow.compat.v2.reduce_mean self.SvdfConvLayer.super.get_config.items model_search.architecture.tower.Tower absl.flags.mark_flag_as_required model_search.block_builder.Blocks.get_new model_search.search.common.get_allowed_depth staticmethod self.translate_architecture_to_feature_assignment IdentityCombiner provider.get_predictions_fn model_search.generators.trial_utils.get_trial_mode self.DualResnetBlock.super.__init__ self._pad_architecture keras_tuner.HyperParameters.merge self.Block.super.__init__ varscope.reuse_variables encoder.fit_transform.reshape absl.flags.DEFINE_string tensorflow.compat.v2.compat.v1.reset_default_graph super tensorflow.compat.v2.errors.FailedPreconditionError train_hooks_list.extend self._metadata.get_completed_trials tensorflow.compat.v2.compat.v1.metrics.accuracy model_search.generators.trial_utils.get_intermixed_trials keras_tuner.oracles.BayesianOptimizationOracle.update_space numpy.array.pop tensorflow.compat.v2.loggin.warning coefficients.assignments.np.matmul.np.square.reshape.sum shape_maps.append task_spec_list.append model_search.architecture.architecture_utils.get_tower_variables tensorflow.compat.v2.estimator.export.build_raw_serving_input_receiver_fn model_search.architecture.architecture_utils.get_hparams_from_dir phoenix_instance.get_estimator.evaluate Task.get_task self.FixedOutputFullyConnectedBlock.super.__init__ self._controller.get_generators delattr towers.append model_search.generators.replay_generator.ReplayGenerator cls.ModelSpec.super.__new__ train_op_list.extend _cast_to_type_if_compatible tensorflow.compat.v2.keras.backend.clear_session self._create_weighted_ensemble_logits self.BottleNeckBlock.super.__init__ modes.append model_search.data.utils.default_get_input_layer_fn tensorflow.compat.v1.keras.initializers.get ModelSpec self.block_build self._pool_size.tf.keras.layers.MaxPool2D self.build_priors_nonadaptively self.BidirectionalLSTMBlock.super.__init__ tensorflow.compat.v2.compat.v1.train.SyncReplicasOptimizer copy.deepcopy _one_nonzero_per_row self._add_projection_if_needed tensorflow.compat.v2.compat.v1.zeros_initializer tensorflow.compat.v2.data.experimental.AUTOTUNE._map_fn.features_dataset.map.prefetch.batch any numpy.argmin self._store.get_executions_by_type inspect.getargspec tensorflow.compat.v2.train.latest_checkpoint tensorflow.compat.v2.keras.optimizers.Adagrad model_search.architecture.architecture_utils.increase_structure_depth _merge_hparams.override_from_dict f.read.split random.randint self._kernel_size.input_tensor.get_channel_dim.tf.keras.layers.Conv2D self._stride.self._kernel_size.self._num_filters.tf.keras.layers.Conv2D tensorflow.compat.v2.stack keras_tuner.oracles.BayesianOptimizationOracle.create_trial tensorflow.compat.v2.cast input_tensors.get_shape _json_to_python_object model_search.architecture.architecture_utils.LogitsSpec provider.get_metric_fn tensorflow.compat.v2.compat.v1.estimator.tpu.TPUEstimator tensorflow.compat.v2.compat.v1.train.SyncReplicasOptimizer.apply_gradients init_args.update numpy.matmul towers.compile tensorflow.compat.v2.nn.conv1d filter self._hparam_types.keys tensorflow.compat.v2.io.gfile.rmtree absl.flags.DEFINE_integer self._metadata.get_best_k self.first_time_chief_generate tensorflow.compat.v2.nn.log_softmax sorted hparams.values.items tensorflow.compat.v2.math.log1p tensorflow.compat.v2.control_dependencies tensorflow.compat.v2.compat.v1.losses.sigmoid_cross_entropy tensorflow.compat.v2.compat.v1.name_scope self.SvdfConvLayer.super.build tensorflow.compat.v1.keras.backend.squeeze self._activation tensorflow.compat.v2.keras.optimizers.schedules.PiecewiseConstantDecay _merge_hparams.copy y.append self.Task.super.call tensorflow.compat.v2.compat.v1.train.init_from_checkpoint all kwargs.lower tensorflow.compat.v2.nn.l2_loss numpy.array self.ModelSearchTuner.super.run_trial model_search.registry.get_base_enum.update scope_name.is_training.feature_columns.tf.keras.experimental.SequenceFeatures bool model_search.architecture.architecture_utils.DirectoryHandler.trial_dir model_search.generators.trial_utils.non_adaptive_or_intermixed_ensemble numpy.concatenate tensorflow.compat.v2.shape has_ensemble_search os.path.basename model.fit.predict model_search.generators.trial_utils.adaptive_or_residual_ensemble generator.instance.generate.add_feature_columns_input_layer f.write self.keras_model_builder self._store.put_executions model_search.registry.get_base_enum input_indices_lengths_np.tolist.append get_trial_dir self.ReplayGenerator.super.__init__ model_search.search.constrained_descent.ConstrainedDescent get_hparams_from_dir.values lstm2.tf.keras.layers.RNN tensorflow.compat.v1.keras.initializers.serialize tower model_search.generators.trial_utils.import_towers_one_trial cls.GeneratorWithTrials.super.__new__ tensorflow.compat.v2.train.load_checkpoint.has_tensor ml_metadata.proto.metadata_store_pb2.Execution is_adaptive_ensemble_search get_dataset_provider.get_keras_input tensorflow.compat.v2.keras.preprocessing.image_dataset_from_directory sklearn.linear_model.Lasso tensorflow.compat.v2.compat.v1.losses.absolute_difference tensorflow.compat.v2.compat.v1.estimator.tpu.RunConfig _default_depth_thresholds self._metadata.before_generating_trial_model hasattr _get_optimizer_fn task.name.predictions_fn.extract_task_specific.items enumerate model_search.metric_fns.make_auc_roc_metric_fn rnn_cell.tf.keras.layers.RNN readers.append all_layers.append cls.TowerSpec.super.__new__ self._filename.replace tensorflow.compat.v2.matmul RuntimeError overrides.values model_search.architecture.architecture_utils.set_number_of_towers keras_tuner.oracles.BayesianOptimizationOracle os.environ.get os.path.dirname re.split self._head.create_loss self.GeneralBlock.super.__init__ model_search.metadata.trial.get_best_k tensorflow.compat.v2.train.load_checkpoint model_search.architecture.architecture_utils.init_variables Estimator self.Tower.super.save towers.keys self.set_hparam Node keras_tuner.oracles.BayesianOptimizationOracle.save self._run_svdf_conv_calculation self.SvdfBlock.super.__init__ model_search.search.coordinate_descent.CoordinateDescent tensorflow.compat.v2.compat.v1.constant_initializer parse_values outputs.get_shape.as_list _map_fn.features_dataset.map.prefetch model_search.hparam.HParams.to_proto tensorflow.compat.v2.math.argmax HParams pandas.read_csv tensorflow.compat.v2.compat.v1.Session.reset self._increment_global_step architecture.copy.append model_search.search.common.get_random_block absl.flags.DEFINE_bool model_search.search.common.random pre_logits.get_shape.as_list model_search.ops.svdf_conv.SvdfConvLayer net.get_shape.max.max_output_size.min.tf.keras.layers.Dense value.items tensorflow.compat.v2.concat.get_shape numpy.random.choice self.bn_scale.tf.keras.layers.BatchNormalization zip tensorflow.compat.v2.keras.optimizers.Adam self._create_average_ensemble_logits tensorflow.compat.v2.compat.v1.get_variable tensorflow.compat.v2.data.experimental.CsvDataset google.protobuf.text_format.Parse pandas.read_csv.pop relevant_variables.extend numpy.percentile HParams._get_kind_name.startswith self.Task.super.__init__ spec._replace loss2_fn i.item self.FixedChannelConvolutionBlock.super.__init__ pre_logits.get_shape isinstance tensorflow.compat.v2.nn.softmax self._strides.self._kernel_size.self._max_channels.net.get_channel_dim.min.tf.keras.layers.Conv2D self.save_to_graph tensorflow.compat.v1.keras.backend.sum inputs.get_shape.as_list outputs.get_shape.as_list.tf.keras.layers.Dense tensorflow.compat.v2.pad self.get_polynomial_expansion tensorflow.compat.v1.keras.backend.temporal_padding tensorflow.compat.v2.compat.v1.trainable_variables tensorflow.compat.v2.compat.v1.disable_eager_execution self._phoenix_spec.HasField tensorflow.compat.v2.constant overrides.values.items self._metric_fn d.keys.collections.namedtuple tensorflow.compat.v2.train.load_checkpoint.get_tensor tensorflow.compat.v2.compat.v1.variable_scope tensorflow.compat.v1.keras.activations.get tensorflow.compat.v2.transpose get_random_block self._convert_to_trial_object ValueError reader.get_tensor.tolist tensorflow.compat.v2.keras.layers.Flatten.get_shape type self._output_size.tf.keras.layers.Dense train_op_fn max tensorflow.compat.v1.nn.depthwise_conv2d model_search.generators.trial_utils.is_intermixed_ensemble_search inspect.signature model_search.phoenix.Phoenix.get_keras_hyperparameters_space numpy.asarray _merge_train_op_list d.values sklearn.linear_model.Lasso.fit labels.items tensorflow.compat.v2.train.load_checkpoint._GetVariableToDataTypeMap absl.logging.vlog t_dir.os.path.basename.isdigit tensorflow.compat.v1.add loss_and_metric_and_predictions_fn sklearn.preprocessing.OneHotEncoder.fit_transform self._metadata.unblock_stopped_infeasible_trial _merge_hparams.add_hparam tensorflow.compat.v1.keras.activations.serialize.items get_dataset_provider tensorflow.compat.v2.lookup.KeyValueTensorInitializer register_block architectures.append strip_scope tensorflow.compat.v1.keras.backend.in_train_phase get_parameter tensorflow.compat.v1.keras.layers.InputSpec model_search.search.common.get_random_architecture child_metric_fn self.Estimator.super.evaluate value.WhichOneof google.protobuf.text_format.Merge self.add_hparam self._get_trial_from_id numpy.amax self._get_allowed_depth Tower.add_initialization provider.get_loss_fn join model_search.search.categorical_harmonica.Harmonica task.name.predictions_fn.extract_task_specific model_search.hparam.HParams.set_hparam filters.get_shape six.iteritems self._exists bytes_or_text.encode set_architecture tensorflow.compat.v2.keras.layers.Dense self._get_svdf_conv_output self.Conv1DBlock.super.__init__ model_search.search.common.choose_random_trial_and_get_architecture PolynomialFeatures tensorflow.compat.v2.compat.v1.train.exponential_decay node.combiner absl.logging.fatal parse_fn str tensorflow.compat.v1.keras.layers.BatchNormalization tensorflow.compat.v2.range train_op_list.append self.keras_compile generator.instance.generate.has_input_tensor collections.namedtuple self.DilatedConvolutionBlock.super.__init__ directory.split tensorflow.compat.v2.keras.optimizers.RMSprop tensorflow.compat.v2.gather is_training.fc_v2.tf.keras.layers.DenseFeatures onehot_best.encoder.inverse_transform.flatten self._assign_ops.append self.values.items var_name.replace tensorflow.compat.v2.compat.v1.metrics.auc tensorflow.compat.v2.expand_dims.get_shape float run_train_and_eval model_search.block_builder.BlockType tensorflow.compat.v2.train.load_checkpoint.get_variable_to_shape_map generator.instance.generate dimension.tf.keras.layers.Dense numpy.argsort self.LSTMBlock.super.__init__ model_search.ensembler.EnsembleLogits self.DownsampleConvolutionBlock.super.__init__ self._input_dir.replace tensorflow.compat.v2.minimum model_search.phoenix.Phoenix self._hparam_types.items model_search.generators.search_candidate_generator.SearchCandidateGenerator FLAGS.record_defaults.split self._sort_previous_trial_variables is_intermixed_ensemble_search tensorflow.compat.v2.compat.v1.estimator.tpu.TPUConfig tensorflow.compat.v1.executing_eagerly _generate_dropout_mask self._oracle._set_project_dir results_dictionary.get model_search.generators.trial_utils.import_towers_multiple_trials _merge_hparams.set_hparam numpy.meshgrid model_search.architecture.architecture_utils.get_blocks_search_space output_tensor.shape.tf.keras.layers.Dense tensorflow.compat.v2.compat.v1.assign_add self._get_svdf_rnn_cell_output logits_dimension.tf.keras.layers.Dense param_type model_search.search.common.block_indices train_hooks.append Task.load tensorflow.compat.v1.shape tf_slim.fully_connected self._distiller.bundle_logits next tuple six.moves.range model_search.data.utils.default_get_keras_input_layer_fn modes.sort hparams.projection_size.tf.keras.layers.Dense _process_scalar_value model_search.search.identity.Identity self.PriorGenerator.super.__init__ phoenix_instance.get_estimator.train bytes_or_text.decode self.build_priors_adaptively phoenix_spec.HasField model_search.registry.lookup numpy.append tensorflow.compat.v2.convert_to_tensor tensorflow.compat.v2.compat.v1.layers.conv1d self.FullyConnectedBlock.super.__init__ tensorflow.compat.v2.keras.experimental.SequenceFeatures self.get_train_and_eval_logits var_name.endswith collections.defaultdict model_search.hparam.HParams inputs.get_shape losses.append input_key_b.decode model_search.proto.phoenix_spec_pb2.PhoenixSpec.HasField os.path.basename.isdigit get_block_hparams create_tower_spec is_residual_ensemble_search self.MaxPoolingBlock.super.__init__ result.append json.dumps copy.deepcopy.ClearField self._replay_state.replay_is_importing_towers tensorflow.compat.v2.config.run_functions_eagerly tensorflow.compat.v2.reduce_sum supply_params_if_needed model_search.generators.trial_utils.has_distillation final_args.update model_search.architecture.tower.Tower.load train_dataset.cache.prefetch.cache ModelSearchTuner self.DownsampleFlattenBlock.super.__init__ model_search.search.common.mutate_replace model_search.metric_fns.make_accuracy_metric_fn model_search.controller.InProcessController tensorflow.compat.v2.expand_dims absl.flags.DEFINE_enum map tensorflow.compat.v2.keras.layers.RNN bytes tensorflow.compat.v2.keras.layers.DenseFeatures tensorflow.compat.v2.keras.layers.Conv1D model_search.metric_fns.create_num_parameters_metric_fn int ConcatCombiner self._wait_for_chief architecture.tolist absl.app.run TaskSpec dict len self._data.get_input_layer_fn d.keys self._head.create_estimator_spec super.__new__ tensorflow.compat.v2.keras.losses.SparseCategoricalCrossentropy net.get_shape.max_output_size.min.max.tf.keras.layers.Dense node.input_selector Tower model_search.proto.phoenix_spec_pb2.PhoenixSpec random.sample model_search.metadata.trial.Trial self.get_completed_trials _one_nonzero_per_row.reshape tensorflow.compat.v1.keras.backend.conv1d tensorflow.compat.v2.estimator.RunConfig numpy.arange.tolist self._suggest_by_padding keras_tuner.HyperParameters.Int training_hooks.append re.compile.match self.Estimator.super.__init__ tensorflow.compat.v2.estimator.EstimatorSpec self._get_good_architecture re.compile PolynomialFeatures.fit_transform weights.reshape tensorflow.compat.v2.compat.v1.estimator.tpu.TPUEstimatorSpec var_name.startswith tensorflow.compat.v2.cond output.append search_algorithm.get_suggestion model_search.architecture.architecture_utils.arg_scope model_search.generators.trial_utils.has_ensemble_search v.item model_search.hparam.HParams.from_proto.keys tf_slim.avg_pool2d make_run_config run_parameterized_train_and_eval self._phoenix_spec.ClearField _set_model_dir_for_run_config model_search.meta.distillation.get_distillation_loss_fn model_search.architecture.architecture_utils.get_architecture self._controller.get_generators.items model_search.metric_fns.make_auc_pr_metric_fn overrides.values.items.items optimizer_fn self.PriorGenerator.super._build_from_existing_checkpoint self._block_indices.index model_search.architecture.architecture_utils.get_architecture_size hook_fn traceback.extract_stack self.build_priors_intermixed time.sleep is_nonadaptive_ensemble_search model_search.block_builder.Blocks.search_space construct_tower Task tensorflow.compat.v2.nn.relu6 _compute_paddings _merge_hparams.values EnsembleLogits node_list.append tf_slim.batch_norm ml_metadata.proto.metadata_store_pb2.ExecutionType numpy.any self._nonadaptive_ensemble k.startswith tensorflow.compat.v2.add_n keras_tuner.HyperParameters tensorflow.compat.v1.keras.backend.ones_like tensorflow.compat.v2.compat.v1.losses.mean_squared_error model_search.metadata.ml_metadata_db.MLMetaData self._data.number_of_classes model_search.architecture.architecture_utils.get_number_of_towers dataset.cache.prefetch.cache model_search.architecture.architecture_utils.strip_scope PARAM_RE.match.end input_tensor.get_shape.tf.keras.layers.Dense numpy.square self._metadata.report number_of_classes.tf.keras.layers.Dense model_search.architecture.architecture_utils.DirectoryHandler.get_trial_id tensorflow.compat.v2.keras.initializers.RandomUniform dtype_maps.append self._parse_variable_name self._make_model_fn tf_slim.conv2d self._hparam_types.get model_search.search.common.encode_architecture tensorflow.compat.v2.train.list_variables keras_tuner.HyperParameters.Float tensorflow.compat.v2.keras.layers.BatchNormalization tensorflow.compat.v2.io.gfile.listdir get_channel_dim self._predict_best_architecture get_dataset_provider.get_input_layer_fn self._strides.self._kernel_size.input_tensor.get_channel_dim.tf.keras.layers.Conv2D list _return_generators loss1_fn arg_scope tensorflow.compat.v2.group tensorflow.compat.v2.gather.set_shape self._add_filter_image_summary _parse_fail min self._get_best_trials self._activation.self._dilation_rate.self._kernel_size.self._output_size.tf.keras.layers.Conv1D tensorflow.compat.v2.io.gfile.exists aggregate_initial_architecture input_tensor.get_channel_dim.tf.keras.layers.Conv2D DistillationLogits tensorflow.compat.v2.compat.v1.train.NewCheckpointReader.get_tensor self.get_good_architecture os.path.basename.startswith _process_list_value self.activation self.add_weight _labels_are_one_hot as_text PARAM_RE.match.groupdict _build_nas_aux_head numpy.all tensorflow.compat.v2.concat model_search.hparam.HParams.del_hparam self._build_from_existing_checkpoint tensorflow.compat.v2.squeeze PolynomialFeatures.get_feature_names input_indices_list.append tensorflow.compat.v2.one_hot _TYPE_TAG.name.registry self._validation_filename.replace tensorflow.compat.v2.compat.v1.get_collection tensorflow.compat.v2.compat.v1.train.NewCheckpointReader original_hparams.values self._sort_previous_trial_variables.append model_search.hparam.HParams.from_proto.copy self.ResnetBlock.super.__init__ numpy.sum complex model_search.hparam.startswith train_losses.extend functools.partial features_dataset.repeat.shuffle.map numpy.amin f.read architectures.reshape model_search.generators.trial_utils.adaptive_or_residual_ensemble.update model_search.loss_fns.make_multi_class_loss_fn dict.update numpy.savetxt tensorflow.compat.v2.compat.v1.train.SyncReplicasOptimizer.compute_gradients numpy.zeros_like TowerSpec tensorflow.compat.v2.keras.layers.LSTMCell absl.logging.error tensorflow.compat.v2.identity tensorflow.compat.v2.keras.layers.Flatten self._is_reduction_block store_hparams_to_dir Architecture padded_tensor_list.append tensorflow.compat.v2.keras.layers.SimpleRNNCell v.item.items model_search.generators.trial_utils.is_nonadaptive_ensemble_search tensorflow.compat.v2.compat.v1.losses.softmax_cross_entropy self.ConvolutionBlock.super.__init__ create_new_architecture_fn keras_tuner.oracles.RandomSearchOracle model_search.architecture.architecture_utils.fix_architecture_order self.basis_function tensorflow.compat.v2.compat.v1.feature_column.input_layer hparams.values model_search.registry.lookup.requires_hparams sklearn.preprocessing.OneHotEncoder.inverse_transform tensorflow.compat.v2.io.gfile.GFile self._register outputs.get_shape registry.keys tensorflow.compat.v2.multiply self._extract_relevant_variables_indices var.name.startswith set.add HParams._get_kind_name.endswith is_training.feature_columns.tf.keras.layers.DenseFeatures callable self._replay_state.is_replay self.LowRankLayerBlock.super.__init__ tensorflow.compat.v2.stop_gradient combiner_types_np.tolist.append tuple.append tensorflow.compat.v2.no_op
@developer
Could please help me check this issue?
May I pull a request to fix it?
Thank you very much.