Class ModelExportOutputConfig

Output configuration for ModelExport Action.

Inheritance
System.Object
ModelExportOutputConfig
Implements
System.IEquatable<ModelExportOutputConfig>
Google.Protobuf.IBufferMessage
Inherited Members
System.Object.ToString()
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Google.Cloud.AutoML.V1
Assembly: Google.Cloud.AutoML.V1.dll
Syntax
public sealed class ModelExportOutputConfig : IMessage<ModelExportOutputConfig>, IEquatable<ModelExportOutputConfig>, IDeepCloneable<ModelExportOutputConfig>, IBufferMessage, IMessage

Constructors

ModelExportOutputConfig()

Declaration
public ModelExportOutputConfig()

ModelExportOutputConfig(ModelExportOutputConfig)

Declaration
public ModelExportOutputConfig(ModelExportOutputConfig other)
Parameters
Type Name Description
ModelExportOutputConfig other

Properties

DestinationCase

Declaration
public ModelExportOutputConfig.DestinationOneofCase DestinationCase { get; }
Property Value
Type Description
ModelExportOutputConfig.DestinationOneofCase

GcsDestination

Required. The Google Cloud Storage location where the model is to be written to. This location may only be set for the following model formats: "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".

Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside the model and any of its supporting files will be written.

Declaration
public GcsDestination GcsDestination { get; set; }
Property Value
Type Description
GcsDestination

ModelFormat

The format in which the model must be exported. The available, and default, formats depend on the problem and model type (if given problem and type combination doesn't have a format listed, it means its models are not exportable):

  • For Image Classification mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1: "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js", "docker".

  • For Image Classification mobile-core-ml-low-latency-1, mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1: "core_ml" (default).

  • For Image Object Detection mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1: "tflite", "tf_saved_model", "tf_js". Formats description:

  • tflite - Used for Android mobile devices.

  • edgetpu_tflite - Used for Edge TPU devices.
  • tf_saved_model - A tensorflow model in SavedModel format.
  • tf_js - A TensorFlow.js model that can be used in the browser and in Node.js using JavaScript.
  • docker - Used for Docker containers. Use the params field to customize the container. The container is verified to work correctly on ubuntu 16.04 operating system. See more at [containers

quickstart](https: //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)

  • core_ml - Used for iOS mobile devices.
Declaration
public string ModelFormat { get; set; }
Property Value
Type Description
System.String

Params

Additional model-type and format specific parameters describing the requirements for the to be exported model files, any string must be up to 25000 characters long.

  • For docker format: cpu_architecture - (string) "x86_64" (default). gpu_architecture - (string) "none" (default), "nvidia".
Declaration
public MapField<string, string> Params { get; }
Property Value
Type Description
MapField<System.String, System.String>