deepr package

Subpackages

• deepr.cli package
  • Submodules
  • deepr.cli.main module
    • add_macro()
    • download_config_and_macros_from_mlflow()
    • from_config_and_macros()
    • main()
    • run()
  • Module contents
• deepr.config package
  • Submodules
  • deepr.config.base module
    • from_config()
    • parse_config()
  • deepr.config.experimental module
    • add_macro_params()
    • find_values()
    • replace_values()
    • to_config()
  • deepr.config.macros module
    • assert_no_macros()
    • fill_macros()
    • find_macro_params()
    • get_macro_and_param()
    • ismacro()
    • macros_eval_order()
  • deepr.config.references module
    • default_references()
    • fill_references()
    • isreference()
  • Module contents
• deepr.examples package
  • Subpackages
    • deepr.examples.movielens package
      • Subpackages
      • Module contents
    • deepr.examples.multiply package
      • Subpackages
      • Module contents
  • Module contents
• deepr.exporters package
  • Submodules
  • deepr.exporters.base module
    • Exporter
      • Exporter.export()
  • deepr.exporters.best_checkpoint module
    • BestCheckpoint
      • BestCheckpoint.metric
      • BestCheckpoint.mode
      • BestCheckpoint.tag
      • BestCheckpoint.use_mlflow
      • BestCheckpoint.export()
    • BestMode
      • BestMode.DECREASE
      • BestMode.INCREASE
    • read_eval_metrics()
  • deepr.exporters.save_variables module
    • SaveVariables
      • SaveVariables.path_variables
      • SaveVariables.variable_names
      • SaveVariables.chunk_size
      • SaveVariables.compression
      • SaveVariables.export()
  • deepr.exporters.saved_model module
    • SavedModel
      • SavedModel.path_saved_model
      • SavedModel.fields
      • SavedModel.export()
  • Module contents
• deepr.hooks package
  • Submodules
  • deepr.hooks.base module
    • EstimatorHookFactory
    • TensorHookFactory
  • deepr.hooks.early_stopping module
    • EarlyStoppingHookFactory
      • EarlyStoppingHookFactory.metric
      • EarlyStoppingHookFactory.max_steps_without_improvement
      • EarlyStoppingHookFactory.min_steps
      • EarlyStoppingHookFactory.mode
      • EarlyStoppingHookFactory.run_every_secs
      • EarlyStoppingHookFactory.run_every_steps
      • EarlyStoppingHookFactory.final_step
  • deepr.hooks.log_variables_init module
    • LogVariablesInitHook
      • LogVariablesInitHook.after_create_session()
  • deepr.hooks.logging_tensor module
    • LoggingTensorHook
    • LoggingTensorHookFactory
      • LoggingTensorHookFactory.tensors
      • LoggingTensorHookFactory.functions
      • LoggingTensorHookFactory.name
      • LoggingTensorHookFactory.use_mlflow
      • LoggingTensorHookFactory.use_graphite
      • LoggingTensorHookFactory.skip_after_step
      • LoggingTensorHookFactory.formatter
    • MaxResidentMemory
    • ResidentMemory
  • deepr.hooks.num_params module
    • NumParamsHook
      • NumParamsHook.after_create_session()
    • get_num_params()
  • deepr.hooks.steps_per_sec module
    • StepsPerSecHook
      • StepsPerSecHook.batch_size
      • StepsPerSecHook.prefix
      • StepsPerSecHook.use_mlflow
      • StepsPerSecHook.use_graphite
      • StepsPerSecHook.skip_after_step
  • deepr.hooks.summary module
    • SummarySaverHookFactory
  • Module contents
• deepr.initializers package
  • Submodules
  • deepr.initializers.checkpoint_initializer module
    • CheckpointInitializer
  • Module contents
• deepr.io package
  • Submodules
  • deepr.io.hdfs module
    • HDFSFile
      • HDFSFile.filesystem
      • HDFSFile.path
      • HDFSFile.mode
      • HDFSFile.read()
      • HDFSFile.readlines()
      • HDFSFile.write()
    • HDFSFileSystem
  • deepr.io.json module
    • is_json()
    • load_json()
    • read_json()
    • write_json()
  • deepr.io.parquet module
    • ParquetDataset
      • ParquetDataset.path_or_paths
      • ParquetDataset.filesystem
      • ParquetDataset.is_hdfs
      • ParquetDataset.is_local
      • ParquetDataset.open()
      • ParquetDataset.pq_dataset
      • ParquetDataset.read()
      • ParquetDataset.read_pandas()
      • ParquetDataset.write()
      • ParquetDataset.write_pandas()
  • deepr.io.path module
    • Path
      • Path.copy_dir()
      • Path.copy_file()
      • Path.delete()
      • Path.delete_dir()
      • Path.exists()
      • Path.glob()
      • Path.is_dir()
      • Path.is_file()
      • Path.is_hdfs
      • Path.is_local
      • Path.iterdir()
      • Path.mkdir()
      • Path.name
      • Path.open()
      • Path.parent
      • Path.suffix
  • Module contents
• deepr.jobs package
  • Submodules
  • deepr.jobs.base module
    • Job
      • Job.run()
  • deepr.jobs.cleanup_checkpoints module
    • CleanupCheckpoints
      • CleanupCheckpoints.path_checkpoints
      • CleanupCheckpoints.path_model
      • CleanupCheckpoints.run()
  • deepr.jobs.combinators module
    • Pipeline
      • Pipeline.jobs
      • Pipeline.run()
  • deepr.jobs.copy_dir module
    • CopyDir
      • CopyDir.overwrite
      • CopyDir.run()
      • CopyDir.skip_copy
      • CopyDir.source
      • CopyDir.target
  • deepr.jobs.evaluate module
    • Evaluate
      • Evaluate.hooks
      • Evaluate.input_fn
      • Evaluate.loss_fn
      • Evaluate.metrics
      • Evaluate.path_model
      • Evaluate.pred_fn
      • Evaluate.prepro_fn()
      • Evaluate.run()
      • Evaluate.spec
  • deepr.jobs.export_xla_model_metadata module
    • ExportXlaModelMetadata
      • ExportXlaModelMetadata.path_optimized_model
      • ExportXlaModelMetadata.path_metadata
      • ExportXlaModelMetadata.graph_name
      • ExportXlaModelMetadata.metadata_name
      • ExportXlaModelMetadata.feed_shapes
      • ExportXlaModelMetadata.fetch_shapes
      • ExportXlaModelMetadata.feed_shapes
      • ExportXlaModelMetadata.fetch_shapes
      • ExportXlaModelMetadata.graph_name
      • ExportXlaModelMetadata.metadata_name
      • ExportXlaModelMetadata.path_metadata
      • ExportXlaModelMetadata.path_optimized_model
      • ExportXlaModelMetadata.run()
    • add_metadata_item()
    • get_nodes()
  • deepr.jobs.log_metric module
    • LogMetric
      • LogMetric.key
      • LogMetric.run()
      • LogMetric.use_mlflow
      • LogMetric.value
  • deepr.jobs.mlflow_save_configs module
    • MLFlowFormatter
      • MLFlowFormatter.include_keys
      • MLFlowFormatter.skip_keys
      • MLFlowFormatter.skip_values
    • MLFlowSaveConfigs
      • MLFlowSaveConfigs.config
      • MLFlowSaveConfigs.formatter
      • MLFlowSaveConfigs.macros
      • MLFlowSaveConfigs.macros_eval
      • MLFlowSaveConfigs.run()
      • MLFlowSaveConfigs.use_mlflow
  • deepr.jobs.mlflow_save_info module
    • MLFlowSaveInfo
      • MLFlowSaveInfo.experiment_id
      • MLFlowSaveInfo.path_mlflow
      • MLFlowSaveInfo.run()
      • MLFlowSaveInfo.run_id
      • MLFlowSaveInfo.run_uuid
      • MLFlowSaveInfo.use_mlflow
  • deepr.jobs.optimize_saved_model module
    • OptimizeSavedModel
      • OptimizeSavedModel.path_saved_model
      • OptimizeSavedModel.path_optimized_model
      • OptimizeSavedModel.graph_name
      • OptimizeSavedModel.new_names
      • OptimizeSavedModel.blacklisted_variables
      • OptimizeSavedModel.feeds
      • OptimizeSavedModel.fetch
      • OptimizeSavedModel.blacklisted_variables
      • OptimizeSavedModel.feeds
      • OptimizeSavedModel.fetch
      • OptimizeSavedModel.graph_name
      • OptimizeSavedModel.new_names
      • OptimizeSavedModel.path_optimized_model
      • OptimizeSavedModel.path_saved_model
      • OptimizeSavedModel.run()
    • TensorsNotFoundError
    • make_placeholders()
    • rename_nodes()
  • deepr.jobs.params_tuner module
    • GridSampler
    • ParamsSampler
    • ParamsTuner
      • ParamsTuner.job
      • ParamsTuner.macros
      • ParamsTuner.run()
      • ParamsTuner.sampler
    • Sampler
  • deepr.jobs.save_dataset module
    • SaveDataset
      • SaveDataset.chunk_size
      • SaveDataset.compression_type
      • SaveDataset.fields
      • SaveDataset.input_fn
      • SaveDataset.mode
      • SaveDataset.num_parallel_calls
      • SaveDataset.path
      • SaveDataset.prepro_fn()
      • SaveDataset.run()
      • SaveDataset.secs
  • deepr.jobs.trainer module
    • ConfigProto
    • EvalSpec
    • FinalSpec
    • RunConfig
    • TrainSpec
    • Trainer
      • Trainer.path_model
      • Trainer.pred_fn
      • Trainer.loss_fn
      • Trainer.optimizer_fn
      • Trainer.train_input_fn
      • Trainer.eval_input_fn
      • Trainer.prepro_fn
      • Trainer.initializer_fn
      • Trainer.train_metrics
      • Trainer.eval_metrics
      • Trainer.exporters
      • Trainer.train_hooks
      • Trainer.eval_hooks
      • Trainer.eval_spec
      • Trainer.train_spec
      • Trainer.run_config
      • Trainer.config_proto
      • Trainer.config_proto
      • Trainer.create_experiment()
      • Trainer.eval_hooks
      • Trainer.eval_input_fn
      • Trainer.eval_metrics
      • Trainer.eval_spec
      • Trainer.exporters
      • Trainer.final_hooks
      • Trainer.final_metrics
      • Trainer.final_spec
      • Trainer.initializer_fn()
      • Trainer.loss_fn
      • Trainer.optimizer_fn
      • Trainer.path_model
      • Trainer.pred_fn
      • Trainer.preds
      • Trainer.prepro_fn()
      • Trainer.random_seed
      • Trainer.run_config
      • Trainer.run_final_evaluation()
      • Trainer.train_hooks
      • Trainer.train_input_fn
      • Trainer.train_metrics
      • Trainer.train_spec
    • model_fn()
  • deepr.jobs.trainer_base module
    • TrainerBase
      • TrainerBase.create_experiment()
      • TrainerBase.run()
      • TrainerBase.run_final_evaluation()
  • deepr.jobs.trainer_keras module
    • TrainerKeras
      • TrainerKeras.config_proto
      • TrainerKeras.create_experiment()
      • TrainerKeras.eval_hooks
      • TrainerKeras.eval_input_fn
      • TrainerKeras.eval_spec
      • TrainerKeras.exporters
      • TrainerKeras.final_hooks
      • TrainerKeras.final_spec
      • TrainerKeras.model
      • TrainerKeras.path_model
      • TrainerKeras.prepro_fn()
      • TrainerKeras.random_seed
      • TrainerKeras.run_config
      • TrainerKeras.run_final_evaluation()
      • TrainerKeras.train_hooks
      • TrainerKeras.train_input_fn
      • TrainerKeras.train_spec
  • deepr.jobs.yarn_config module
    • YarnConfig
      • YarnConfig.cpu_ignored_packages
      • YarnConfig.get_env_vars()
      • YarnConfig.gpu_additional_packages
      • YarnConfig.gpu_ignored_packages
      • YarnConfig.gpu_to_use
      • YarnConfig.jvm_memory_in_gb
      • YarnConfig.name
      • YarnConfig.path_pex_cpu
      • YarnConfig.path_pex_gpu
      • YarnConfig.path_pex_prefix
      • YarnConfig.upload_pex_cpu()
      • YarnConfig.upload_pex_gpu()
    • upload_pex()
  • deepr.jobs.yarn_launcher module
    • YarnLauncher
      • YarnLauncher.config
      • YarnLauncher.job
      • YarnLauncher.run()
      • YarnLauncher.run_on_yarn
      • YarnLauncher.use_mlflow
    • YarnLauncherConfig
      • YarnLauncherConfig.hadoop_file_systems
      • YarnLauncherConfig.memory
      • YarnLauncherConfig.name
      • YarnLauncherConfig.num_cores
  • deepr.jobs.yarn_trainer module
    • YarnTrainer
      • YarnTrainer.config
      • YarnTrainer.run()
      • YarnTrainer.train_on_yarn
      • YarnTrainer.trainer
    • YarnTrainerConfig
      • YarnTrainerConfig.get_task_specs()
      • YarnTrainerConfig.name
      • YarnTrainerConfig.nb_ps
      • YarnTrainerConfig.nb_retries
      • YarnTrainerConfig.nb_workers
      • YarnTrainerConfig.pre_script_hook
      • YarnTrainerConfig.queue
      • YarnTrainerConfig.tf_yarn
      • YarnTrainerConfig.tf_yarn_chief_cores
      • YarnTrainerConfig.tf_yarn_chief_memory
      • YarnTrainerConfig.tf_yarn_evaluator_cores
      • YarnTrainerConfig.tf_yarn_evaluator_memory
      • YarnTrainerConfig.tf_yarn_tensorboard_memory
  • Module contents
• deepr.layers package
  • Submodules
  • deepr.layers.base module
    • Lambda
      • Lambda.forward()
    • Layer
      • Layer.n_in
      • Layer.n_out
      • Layer.inputs
      • Layer.outputs
      • Layer.name
      • Layer.forward()
      • Layer.forward_as_dict()
    • layer()
  • deepr.layers.bpr module
    • BPR
      • BPR.forward()
    • MaskedBPR
      • MaskedBPR.forward()
  • deepr.layers.bpr_max module
    • BPRMax
      • BPRMax.forward()
    • MaskedBPRMax
      • MaskedBPRMax.forward()
  • deepr.layers.click_rank module
    • ClickRank
      • ClickRank.forward()
  • deepr.layers.combinators module
    • ActiveMode
      • ActiveMode.forward()
    • DAG
      • DAG.forward_as_dict()
    • Parallel
      • Parallel.forward()
    • Rename
      • Rename.forward()
    • Scope
      • Scope.forward()
    • Select
      • Select.forward()
    • Sequential
  • deepr.layers.core module
    • Add
      • Add.forward()
    • AddWithWeight
      • AddWithWeight.forward()
    • Concat
      • Concat.forward()
    • Conv1d
      • Conv1d.forward()
    • Dense
      • Dense.forward()
    • DenseIndex
      • DenseIndex.forward()
    • DotProduct
      • DotProduct.forward()
    • ExpandDims
      • ExpandDims.forward()
    • Identity
      • Identity.forward()
    • LogicalAnd
      • LogicalAnd.forward()
    • LogicalOr
      • LogicalOr.forward()
    • Normalize
      • Normalize.forward()
    • Product
      • Product.forward()
    • Scale
      • Scale.forward()
    • Softmax
      • Softmax.forward()
    • Sum
      • Sum.forward()
    • ToFloat
      • ToFloat.forward()
  • deepr.layers.dropout module
    • Dropout
      • Dropout.forward()
    • SpatialDropout1D
      • SpatialDropout1D.forward()
  • deepr.layers.embedding module
    • CombineEmbeddings
      • CombineEmbeddings.forward()
    • Embedding
      • Embedding.forward()
  • deepr.layers.lookup module
    • Lookup
      • Lookup.table_initializer_fn
      • Lookup.forward()
    • LookupFromFile
      • LookupFromFile.key_dtype
      • LookupFromFile.path
      • LookupFromFile.reuse
      • LookupFromFile.table_name
    • LookupFromMapping
      • LookupFromMapping.default_value
      • LookupFromMapping.key_dtype
      • LookupFromMapping.mapping
      • LookupFromMapping.reuse
      • LookupFromMapping.table_name
      • LookupFromMapping.value_dtype
    • LookupIndexToString
      • LookupIndexToString.default_value
      • LookupIndexToString.path
      • LookupIndexToString.reuse
      • LookupIndexToString.table_name
      • LookupIndexToString.vocab_size
  • deepr.layers.lstm module
    • LSTM
      • LSTM.forward()
  • deepr.layers.mask module
    • BooleanMask
      • BooleanMask.forward()
    • BooleanReduceMode
      • BooleanReduceMode.AND
      • BooleanReduceMode.OR
    • Equal
      • Equal.forward()
    • NotEqual
      • NotEqual.forward()
  • deepr.layers.multi module
    • MultiLogLikelihood
      • MultiLogLikelihood.forward()
  • deepr.layers.multi_css module
    • MultiLogLikelihoodCSS
      • MultiLogLikelihoodCSS.forward()
  • deepr.layers.nce_loss module
    • MaskedNegativeSampling
      • MaskedNegativeSampling.forward()
    • NegativeSampling
      • NegativeSampling.forward()
  • deepr.layers.reduce module
    • Average
      • Average.forward()
    • WeightedAverage
      • WeightedAverage.forward()
  • deepr.layers.size module
    • IsMinSize
      • IsMinSize.forward()
  • deepr.layers.slice module
    • Slice
      • Slice.forward()
    • SliceFirst
      • SliceFirst.forward()
    • SliceLast
      • SliceLast.forward()
    • SliceLastPadded
      • SliceLastPadded.forward()
  • deepr.layers.sparse module
    • ToDense
      • ToDense.forward()
  • deepr.layers.string module
    • StringJoin
      • StringJoin.forward()
  • deepr.layers.top_one module
    • MaskedTopOne
      • MaskedTopOne.forward()
    • TopOne
      • TopOne.forward()
  • deepr.layers.top_one_max module
    • MaskedTopOneMax
      • MaskedTopOneMax.forward()
    • TopOneMax
      • TopOneMax.forward()
  • deepr.layers.transformer module
    • AttentionMask
      • AttentionMask.forward()
    • FeedForward()
    • Normalization
      • Normalization.forward()
    • PositionalEncoding
      • PositionalEncoding.forward()
    • SelfMultiheadAttention
      • SelfMultiheadAttention.block_id
      • SelfMultiheadAttention.dim_head
      • SelfMultiheadAttention.num_heads
      • SelfMultiheadAttention.residual_connection
      • SelfMultiheadAttention.forward()
      • SelfMultiheadAttention.join_heads()
      • SelfMultiheadAttention.scaled_dot_attention()
      • SelfMultiheadAttention.split_heads()
    • Transformer()
  • deepr.layers.triplet_precision module
    • TripletPrecision
      • TripletPrecision.forward()
  • Module contents
• deepr.macros package
  • Submodules
  • deepr.macros.dynamic module
    • Dynamic
  • deepr.macros.graphite_init module
    • GraphiteInit
  • deepr.macros.mlflow_init module
    • MLFlowInit
    • internal_url_formatter()
    • standard_url_formatter()
  • Module contents
• deepr.metrics package
  • Submodules
  • deepr.metrics.accuracy module
    • Accuracy
    • AccuracyAtK
  • deepr.metrics.base module
    • Metric
    • get_metric_variable()
    • get_scalars()
    • get_tensors()
    • keep_scalars()
    • sanitize_metric_name()
  • deepr.metrics.core module
    • LastValue
    • MaxValue
    • max_value_metric()
  • deepr.metrics.mean module
    • DecayMean
    • FiniteMean
    • Mean
    • decay_mean_metric()
    • finite_mean_metric()
  • deepr.metrics.step module
    • StepCounter
  • deepr.metrics.variable module
    • VariableValue
      • VariableValue.name
  • Module contents
• deepr.optimizers package
  • Submodules
  • deepr.optimizers.base module
    • Optimizer
  • deepr.optimizers.core module
    • TensorflowOptimizer
      • TensorflowOptimizer.learning_rate
      • TensorflowOptimizer.optimizer
      • TensorflowOptimizer.kwargs
      • TensorflowOptimizer.OPTIMIZERS
  • Module contents
• deepr.predictors package
  • Submodules
  • deepr.predictors.base module
    • Predictor
      • Predictor.feed_tensors
      • Predictor.fetch_tensors
      • Predictor.session
  • deepr.predictors.proto module
    • ProtoPredictor
      • ProtoPredictor.path
      • ProtoPredictor.feeds
      • ProtoPredictor.fetches
  • deepr.predictors.saved_model module
    • SavedModelPredictor
      • SavedModelPredictor.path
      • SavedModelPredictor.feeds
      • SavedModelPredictor.fetches
    • get_latest_saved_model()
  • Module contents
• deepr.prepros package
  • Submodules
  • deepr.prepros.base module
    • Prepro
      • Prepro.apply()
    • PreproFn
      • PreproFn.apply()
    • prepro()
  • deepr.prepros.combinators module
    • Serial
      • Serial.fuse
      • Serial.preprocessors
      • Serial.apply()
  • deepr.prepros.core module
    • Batch
      • Batch.count
      • Batch.modes
      • Batch.apply()
    • Cache
      • Cache.filename
      • Cache.apply()
    • Filter
      • Filter.predicate
      • Filter.on_dict
      • Filter.modes
      • Filter.apply()
      • Filter.tf_predicate
    • Map
      • Map.map_func
      • Map.modes
      • Map.num_parallel_calls
      • Map.on_dict
      • Map.update
      • Map.apply()
      • Map.tf_map_func
    • PaddedBatch
      • PaddedBatch.batch_size
      • PaddedBatch.fields
      • PaddedBatch.modes
      • PaddedBatch.apply()
    • Prefetch
      • Prefetch.buffer_size
      • Prefetch.apply()
    • Repeat
      • Repeat.count
      • Repeat.modes
      • Repeat.apply()
    • Shuffle
      • Shuffle.buffer_size
      • Shuffle.modes
      • Shuffle.apply()
    • Take
      • Take.count
      • Take.apply()
  • deepr.prepros.lookup module
    • TableInitializer
      • TableInitializer.apply()
  • deepr.prepros.record module
    • FromExample
    • TFRecordSequenceExample
    • ToExample
    • arrays_to_example()
  • Module contents
• deepr.readers package
  • Submodules
  • deepr.readers.base module
    • DatasetReader
      • DatasetReader.as_dataset()
    • Reader
      • Reader.as_dataset()
    • from_dataset()
  • deepr.readers.generator module
    • GeneratorReader
      • GeneratorReader.generator_fn
      • GeneratorReader.output_types
      • GeneratorReader.output_shapes
      • GeneratorReader.as_dataset()
  • deepr.readers.record module
    • TFRecordReader
      • TFRecordReader.num_parallel_calls
      • TFRecordReader.num_parallel_reads
      • TFRecordReader.path
      • TFRecordReader.shuffle
      • TFRecordReader.as_dataset()
      • TFRecordReader.compression_type
      • TFRecordReader.filenames
    • bytes_feature()
    • float_feature()
    • int64_feature()
    • int64_feature_list()
  • Module contents
• deepr.utils package
  • Submodules
  • deepr.utils.broadcasting module
    • make_same_shape()
  • deepr.utils.checkpoint module
    • save_variables_in_ckpt()
  • deepr.utils.datastruct module
    • dict_to_item()
    • item_to_dict()
    • to_flat_tuple()
  • deepr.utils.exceptions module
    • handle_exceptions()
  • deepr.utils.field module
    • Field
      • Field.default
      • Field.dtype
      • Field.name
      • Field.sequence
      • Field.shape
      • Field.as_placeholder()
      • Field.batch_shape
      • Field.feature_specs
      • Field.is_featurizable()
      • Field.is_sparse()
      • Field.startswith()
      • Field.to_feature()
    • TensorType()
  • deepr.utils.graph module
    • get_by_name()
    • get_feedable_tensors()
    • get_fetchable_tensors()
    • import_graph_def()
  • deepr.utils.graphite module
    • get_sender()
    • log_metric()
    • log_metrics()
  • deepr.utils.iter module
    • chunks()
    • progress()
  • deepr.utils.mlflow module
    • clear_run()
    • download_artifacts()
    • log_dict()
    • set_or_create_experiment()
  • deepr.utils.tables module
    • TableContext
      • TableContext.active()
      • TableContext.close()
      • TableContext.get()
      • TableContext.is_active()
      • TableContext.set()
    • index_to_string_table_from_file()
    • table_from_file()
    • table_from_mapping()
  • deepr.utils.tf2xla_pb2 module
  • deepr.utils.uuid module
    • msb_lsb_to_str()
    • str_to_msb_lsb()
  • Module contents
• deepr.vocab package
  • Submodules
  • deepr.vocab.base module
    • read()
    • size()
    • write()
  • Module contents
• deepr.writers package
  • Submodules
  • deepr.writers.base module
    • Writer
      • Writer.write()
  • deepr.writers.record module
    • TFRecordWriter
      • TFRecordWriter.write()
  • Module contents

Submodules

deepr.version module

Module contents