Package com.google.cloud.automl.v1

Interface ModelExportOutputConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelExportOutputConfig, ModelExportOutputConfig.Builder
@Generated public interface ModelExportOutputConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    boolean
    containsParams(String key)
    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
    ModelExportOutputConfig.DestinationCase
    getDestinationCase()
     
    GcsDestination
    getGcsDestination()
    Required.
    GcsDestinationOrBuilder
    getGcsDestinationOrBuilder()
    Required.
    String
    getModelFormat()
    The format in which the model must be exported.
    com.google.protobuf.ByteString
    getModelFormatBytes()
    The format in which the model must be exported.
    Map<String,String>
    getParams()
    Deprecated.
    int
    getParamsCount()
    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
    Map<String,String>
    getParamsMap()
    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
    String
    getParamsOrDefault(String key, String defaultValue)
    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
    String
    getParamsOrThrow(String key)
    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
    boolean
    hasGcsDestination()
    Required.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasGcsDestination

      boolean hasGcsDestination()
       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.
      .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the gcsDestination field is set.

    • getGcsDestination

      GcsDestination getGcsDestination()
       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.
      .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The gcsDestination.

    • getGcsDestinationOrBuilder

      GcsDestinationOrBuilder getGcsDestinationOrBuilder()
       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.
      .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED];

    • getModelFormat

      String getModelFormat()
       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](https://cloud.google.com/edge-tpu/)
 devices.
 * tf_saved_model - A tensorflow model in SavedModel format.
 * tf_js - A [TensorFlow.js](https://www.tensorflow.org/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.
      string model_format = 4;
      Returns:
      The modelFormat.

    • getModelFormatBytes

      com.google.protobuf.ByteString getModelFormatBytes()
       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](https://cloud.google.com/edge-tpu/)
 devices.
 * tf_saved_model - A tensorflow model in SavedModel format.
 * tf_js - A [TensorFlow.js](https://www.tensorflow.org/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.
      string model_format = 4;
      Returns:
      The bytes for modelFormat.

    • getParamsCount

      int getParamsCount()
       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".
      map<string, string> params = 2;

    • containsParams

      boolean containsParams(String key)
       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".
      map<string, string> params = 2;

    • getParams

      @Deprecated Map<String,String> getParams()
      Deprecated.
      Use getParamsMap() instead.

    • getParamsMap

      Map<String,String> getParamsMap()
       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".
      map<string, string> params = 2;

    • getParamsOrDefault

      String getParamsOrDefault(String key, String defaultValue)
       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".
      map<string, string> params = 2;

    • getParamsOrThrow

      String getParamsOrThrow(String key)
       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".
      map<string, string> params = 2;

    • getDestinationCase

      ModelExportOutputConfig.DestinationCase getDestinationCase()