tensorboard の API リファレンス
tensorboard (tensorflow/tensorboard) の公開 API 123 件 —— クラス 96、関数 13、メソッド 14。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。
リポジトリ: tensorflow/tensorboard
| 種別 | 件数 |
|---|---|
| クラス | 96 |
| 関数 | 13 |
| メソッド | 14 |
API 一覧
class
tensorboard.auth.AuthContextAuthentication context within the scope of a single request.
class
tensorboard.auth.AuthProviderAuthentication provider for a specific kind of credential.
class
tensorboard.backend.empty_path_redirect.EmptyPathRedirectMiddlewareWSGI middleware to redirect from "" to "/".
class
tensorboard.backend.event_processing.event_accumulator.AudioEventContains information of an audio event.
class
tensorboard.backend.event_processing.event_accumulator.HistogramEventContains information of a histogram event.
class
tensorboard.backend.event_processing.event_accumulator.HistogramValueHolds the information of the histogram values.
class
tensorboard.backend.event_processing.event_accumulator.ImageEventContains information of an image event.
class
tensorboard.backend.event_processing.event_accumulator.ScalarEventContains information of a scalar event.
class
tensorboard.backend.event_processing.event_accumulator.TensorEventA tensor event.
class
tensorboard.backend.event_processing.event_file_loader.LegacyEventFileLoaderAn iterator that yields parsed Event protos.
class
tensorboard.backend.event_processing.plugin_event_accumulator.TensorEventA tensor event.
class
tensorboard.backend.path_prefix.PathPrefixMiddlewareWSGI middleware for path prefixes.
class
tensorboard.backend.security_validator.DirectiveContent security policy directive.
class
tensorboard.compat.tensorflow_stub.dtypes.DTypeRepresents the type of the elements in a `Tensor`.
class
tensorboard.compat.tensorflow_stub.errors.CancelledErrorRaised when an operation or step is cancelled.
class
tensorboard.compat.tensorflow_stub.errors.OpErrorA generic error that is raised when TensorFlow execution fails.
class
tensorboard.compat.tensorflow_stub.errors.ResourceExhaustedErrorSome resource has been exhausted.
class
tensorboard.compat.tensorflow_stub.errors.UnavailableErrorRaised when the runtime is currently unavailable.
class
tensorboard.compat.tensorflow_stub.errors.UnknownErrorUnknown error.
class
tensorboard.compat.tensorflow_stub.errors.raise_exception_on_not_ok_statusContext manager to check for C API status.
class
tensorboard.compat.tensorflow_stub.io.gfile.FSSpecFileSystemProvides filesystem access via fsspec.
method
tensorboard.compat.tensorflow_stub.io.gfile.FSSpecFileSystem.join(path, *paths)Join paths with a slash.
class
tensorboard.compat.tensorflow_stub.io.gfile.LocalFileSystemProvides local fileystem access.
method
tensorboard.compat.tensorflow_stub.io.gfile.LocalFileSystem.join(path, *paths)Join paths with path delimiter.
class
tensorboard.compat.tensorflow_stub.io.gfile.S3FileSystemProvides filesystem access to S3.
method
tensorboard.compat.tensorflow_stub.io.gfile.S3FileSystem.join(path, *paths)Join paths with a slash.
class
tensorboard.compat.tensorflow_stub.io.gfile.StatDataData returned from the Stat call.
func
tensorboard.compat.tensorflow_stub.pywrap_tensorflow.crc_finalize(crc)Finalize CRC-32C checksum.
class
tensorboard.compat.tensorflow_stub.tensor_shape.DimensionRepresents the value of one dimension in a TensorShape.
class
tensorboard.compat.tensorflow_stub.tensor_shape.TensorShapeRepresents the shape of a `Tensor`.
func
tensorboard.compat.tensorflow_stub.tensor_shape.as_dimension(value)Converts the given value to a Dimension.
class
tensorboard.context.RequestContextContainer of request-scoped values.
class
tensorboard.data.grpc_provider.GrpcDataProviderData provider that talks over gRPC.
class
tensorboard.data.ingester.DataIngesterLink between a data source and a data provider.
method
tensorboard.data.ingester.DataIngester.data_provider()Returns a `DataProvider`.
method
tensorboard.data.ingester.DataIngester.start()Starts ingesting data.
class
tensorboard.data.provider.BlobReferenceA reference to a blob.
class
tensorboard.data.provider.ExperimentMetadataMetadata about an experiment.
class
tensorboard.data.provider.HyperparameterMetadata about a hyperparameter.
class
tensorboard.data.provider.HyperparameterFilterA constraint based on hyperparameter value.
class
tensorboard.data.provider.HyperparameterFilterTypeDescribes how to represent filter values.
class
tensorboard.data.provider.HyperparameterSessionRunA single run in a HyperparameterSessionGroup.
class
tensorboard.data.provider.HyperparameterSortA sort criterium based on hyperparameter value.
class
tensorboard.data.provider.HyperparameterSortDirectionDescribes which direction to sort a value.
class
tensorboard.data.provider.HyperparameterValueA hyperparameter value.
class
tensorboard.data.provider.ListHyperparametersResultThe result from calling list_hyperparameters().
class
tensorboard.data.provider.RunMetadata about a run.
class
tensorboard.data.provider.RunTagFilterFilters data by run and tag names.
class
tensorboard.data.provider.ScalarDatumA single datum in a scalar time series for a run and tag.
class
tensorboard.data.provider.TensorDatumA single datum in a tensor time series for a run and tag.
class
tensorboard.data.server_ingester.ExistingServerDataIngesterConnect to an already running gRPC server.
class
tensorboard.data.server_ingester.ServerBinaryInformation about a data server binary.
class
tensorboard.data.server_ingester.SubprocessServerDataIngesterStart a new data server as a subprocess.
class
tensorboard.errors.InvalidArgumentErrorClient specified an invalid argument.
class
tensorboard.errors.PublicErrorAn error whose text does not contain sensitive information.
func
tensorboard.load_ipython_extension(ipython)IPython API entry point.
func
tensorboard.main.run_main()Initializes flags and calls main().
func
tensorboard.main_dev.run_main()Initializes flags and calls main().
class
tensorboard.manager.StartExecFailedPossible return value of the `start` function.
class
tensorboard.manager.StartFailedPossible return value of the `start` function.
class
tensorboard.manager.StartLaunchedPossible return value of the `start` function.
class
tensorboard.manager.StartReusedPossible return value of the `start` function.
class
tensorboard.manager.StartTimedOutPossible return value of the `start` function.
class
tensorboard.manager.TensorBoardInfoHolds the information about a running TensorBoard instance.
class
tensorboard.plugins.audio.audio_plugin.AudioPluginAudio Plugin for TensorBoard.
class
tensorboard.plugins.base_plugin.BasicLoaderSimple TBLoader that's sufficient for most plugins.
class
tensorboard.plugins.base_plugin.FrontendMetadataMetadata required to render a plugin on the frontend.
class
tensorboard.plugins.base_plugin.TBLoaderTBPlugin factory base class.
class
tensorboard.plugins.base_plugin.TBPluginTensorBoard plugin interface.
method
tensorboard.plugins.base_plugin.TBPlugin.data_plugin_names()Experimental.
class
tensorboard.plugins.core.core_plugin.CorePluginCore plugin for TensorBoard.
class
tensorboard.plugins.core.core_plugin.CorePluginLoaderCorePlugin factory.
method
tensorboard.plugins.core.core_plugin.CorePluginLoader.load(context)Creates CorePlugin instance.
class
tensorboard.plugins.custom_scalar.custom_scalars_plugin.CustomScalarsPluginCustomScalars Plugin for TensorBoard.
class
tensorboard.plugins.debugger_v2.debugger_v2_plugin.DebuggerV2PluginDebugger V2 Plugin for TensorBoard.
class
tensorboard.plugins.distribution.compressor.CompressedHistogramValueRepresents a value in a compressed histogram.
class
tensorboard.plugins.distribution.distributions_plugin.DistributionsPluginDistributions Plugin for TensorBoard.
func
tensorboard.plugins.graph.graphs_demo.write_graph()Demonstrate basic graph writing.
class
tensorboard.plugins.graph.graphs_plugin.GraphsPluginGraphs Plugin for TensorBoard.
class
tensorboard.plugins.histogram.histograms_plugin.HistogramsPluginHistograms Plugin for TensorBoard.
class
tensorboard.plugins.hparams._keras.CallbackCallback for logging hyperparameters to TensorBoard.
class
tensorboard.plugins.hparams.download_data.HandlerHandles a DownloadData request.
class
tensorboard.plugins.hparams.error.HParamsErrorRepresents an error that is meaningful to the end-user.
class
tensorboard.plugins.hparams.get_experiment.HandlerHandles a GetExperiment request.
func
tensorboard.plugins.hparams.hparams_demo.prepare_data()Load and normalize data.
class
tensorboard.plugins.hparams.hparams_plugin.HParamsPluginHParams Plugin for TensorBoard.
method
tensorboard.plugins.hparams.hparams_plugin.HParamsPlugin.get_plugin_apps()See base class.
class
tensorboard.plugins.hparams.list_metric_evals.HandlerHandles a ListMetricEvals request.
method
tensorboard.plugins.hparams.list_metric_evals.Handler.run()Executes the request.
class
tensorboard.plugins.hparams.list_session_groups.HandlerHandles a ListSessionGroups request.
class
tensorboard.plugins.hparams.summary_v2.DiscreteA domain that takes on a fixed set of values.
class
tensorboard.plugins.hparams.summary_v2.DomainThe domain of a hyperparameter.
class
tensorboard.plugins.hparams.summary_v2.HParamA hyperparameter in an experiment.
class
tensorboard.plugins.hparams.summary_v2.MetricA metric in an experiment.
class
tensorboard.plugins.image.images_plugin.ImagesPluginImages Plugin for TensorBoard.
func
tensorboard.plugins.image.summary_v2.image(name, data, step=None, max_outputs=3, description=None)Write an image summary.
class
tensorboard.plugins.mesh.mesh_plugin.MeshPluginA plugin that serves 3D visualization of meshes.
class
tensorboard.plugins.mesh.metadata.MeshTensorA mesh tensor.
class
tensorboard.plugins.metrics.metrics_loader.MetricsLoaderThe loader for MetricsPlugin.
class
tensorboard.plugins.metrics.metrics_plugin.MetricsPluginMetrics Plugin for TensorBoard.
class
tensorboard.plugins.projector.projector_plugin.EmbeddingMetadataMetadata container for an embedding.
class
tensorboard.plugins.projector.projector_plugin.LRUCacheLRU cache.
class
tensorboard.plugins.projector.projector_plugin.ProjectorPluginEmbedding projector.
class
tensorboard.plugins.scalar.scalars_plugin.ScalarsPluginScalars Plugin for TensorBoard.
func
tensorboard.plugins.scalar.summary_v2.scalar(name, data, step=None, description=None)Write a scalar summary.
func
tensorboard.plugins.text.summary_v2.text(name, data, step=None, description=None)Write a text summary.
class
tensorboard.plugins.text.text_plugin.TextPluginText Plugin for TensorBoard.
class
tensorboard.program.TensorBoardClass for running TensorBoard.
class
tensorboard.program.TensorBoardServerClass for customizing TensorBoard WSGI app serving.
class
tensorboard.summary._output.OutputInterface for emitting tensor-formatted summary data.
class
tensorboard.summary._writer.WriterWrites summary data for visualization in TensorBoard.
method
tensorboard.summary._writer.Writer.add_scalar(tag, data, step, *wall_time=None, *description=None)Adds a scalar summary.
method
tensorboard.summary._writer.Writer.flush()Flushes any buffered data.
class
tensorboard.summary.writer.event_file_writer.EventFileWriterWrites `Event` protocol buffers to an event file.
class
tensorboard.test.TestCaseTensorBoard base test class.
class
tensorboard.uploader.upload_tracker.UploadStatsStatistics of uploading.
method
tensorboard.uploader.upload_tracker.UploadStats.add_blob(blob_bytes, is_skipped)Add a blob.
method
tensorboard.uploader.upload_tracker.UploadStats.add_plugin(plugin_name)Add a plugin.
method
tensorboard.uploader.upload_tracker.UploadStats.add_scalars(num_scalars)Add a batch of scalars.
class
tensorboard.uploader.upload_tracker.UploadTrackerTracker for uploader progress and status.
func
tensorboard.util.img_mime_type_detector.from_bytes(img_bytes:bytes) -> strReturns the MIME type of an image from its bytes.
func
tensorboard.util.tb_logging.get_logger()Returns TensorBoard logger.
func
tensorboard.util.tensor_util.make_tensor_proto(values, dtype=None, shape=None, verify_shape=False)Create a TensorProto.
この情報について
掲載しているシグネチャは tensorflow/tensorboard の公開ソースコードを
Python の ast モジュールで静的解析し、引数名・デフォルト値・
型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。
詳しくは仕組みの解説をご覧ください。