Package com.google.cloud.automl.v1beta1

Class ModelExportOutputConfig.Builder

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • internalGetMutableMapField

        protected com.google.protobuf.MapField internalGetMutableMapField​(int number)
        Overrides:
        internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • clear

        public ModelExportOutputConfig.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • getDefaultInstanceForType

        public ModelExportOutputConfig getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public ModelExportOutputConfig build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public ModelExportOutputConfig buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • clone

        public ModelExportOutputConfig.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • clearField

        public ModelExportOutputConfig.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • clearOneof

        public ModelExportOutputConfig.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • setRepeatedField

        public ModelExportOutputConfig.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                        int index,
                                                        Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • addRepeatedField

        public ModelExportOutputConfig.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                        Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • mergeFrom

        public ModelExportOutputConfig.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                          throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelExportOutputConfig.Builder>
        Throws:
        IOException

      • hasGcsDestination

        public boolean hasGcsDestination()
         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.v1beta1.GcsDestination gcs_destination = 1;
        Specified by:
        hasGcsDestination in interface ModelExportOutputConfigOrBuilder
        Returns:
        Whether the gcsDestination field is set.

      • getGcsDestination

        public GcsDestination getGcsDestination()
         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.v1beta1.GcsDestination gcs_destination = 1;
        Specified by:
        getGcsDestination in interface ModelExportOutputConfigOrBuilder
        Returns:
        The gcsDestination.

      • setGcsDestination

        public ModelExportOutputConfig.Builder setGcsDestination​(GcsDestination value)
         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.v1beta1.GcsDestination gcs_destination = 1;

      • setGcsDestination

        public ModelExportOutputConfig.Builder setGcsDestination​(GcsDestination.Builder builderForValue)
         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.v1beta1.GcsDestination gcs_destination = 1;

      • mergeGcsDestination

        public ModelExportOutputConfig.Builder mergeGcsDestination​(GcsDestination value)
         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.v1beta1.GcsDestination gcs_destination = 1;

      • clearGcsDestination

        public ModelExportOutputConfig.Builder clearGcsDestination()
         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.v1beta1.GcsDestination gcs_destination = 1;

      • getGcsDestinationBuilder

        public GcsDestination.Builder getGcsDestinationBuilder()
         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.v1beta1.GcsDestination gcs_destination = 1;

      • getGcsDestinationOrBuilder

        public GcsDestinationOrBuilder getGcsDestinationOrBuilder()
         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.v1beta1.GcsDestination gcs_destination = 1;
        Specified by:
        getGcsDestinationOrBuilder in interface ModelExportOutputConfigOrBuilder

      • hasGcrDestination

        public boolean hasGcrDestination()
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
        Specified by:
        hasGcrDestination in interface ModelExportOutputConfigOrBuilder
        Returns:
        Whether the gcrDestination field is set.

      • getGcrDestination

        public GcrDestination getGcrDestination()
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
        Specified by:
        getGcrDestination in interface ModelExportOutputConfigOrBuilder
        Returns:
        The gcrDestination.

      • setGcrDestination

        public ModelExportOutputConfig.Builder setGcrDestination​(GcrDestination value)
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;

      • setGcrDestination

        public ModelExportOutputConfig.Builder setGcrDestination​(GcrDestination.Builder builderForValue)
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;

      • mergeGcrDestination

        public ModelExportOutputConfig.Builder mergeGcrDestination​(GcrDestination value)
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;

      • clearGcrDestination

        public ModelExportOutputConfig.Builder clearGcrDestination()
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;

      • getGcrDestinationBuilder

        public GcrDestination.Builder getGcrDestinationBuilder()
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;

      • getGcrDestinationOrBuilder

        public GcrDestinationOrBuilder getGcrDestinationOrBuilder()
         The GCR location where model image is to be pushed to. This location
 may only be set for the following model formats:
   "docker".

 The model image will be created under the given URI.
        .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
        Specified by:
        getGcrDestinationOrBuilder in interface ModelExportOutputConfigOrBuilder

      • getModelFormat

        public 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".

 *  For Video Classification cloud,
      "tf_saved_model".

 *  For Video Object Tracking cloud,
      "tf_saved_model".

 *  For Video Object Tracking mobile-versatile-1:
      "tflite", "edgetpu_tflite", "tf_saved_model", "docker".

 *  For Video Object Tracking mobile-coral-versatile-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-coral-low-latency-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-jetson-versatile-1:
      "tf_saved_model", "docker".

 *  For Tables:
      "docker".

 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;
        Specified by:
        getModelFormat in interface ModelExportOutputConfigOrBuilder
        Returns:
        The modelFormat.

      • getModelFormatBytes

        public 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".

 *  For Video Classification cloud,
      "tf_saved_model".

 *  For Video Object Tracking cloud,
      "tf_saved_model".

 *  For Video Object Tracking mobile-versatile-1:
      "tflite", "edgetpu_tflite", "tf_saved_model", "docker".

 *  For Video Object Tracking mobile-coral-versatile-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-coral-low-latency-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-jetson-versatile-1:
      "tf_saved_model", "docker".

 *  For Tables:
      "docker".

 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;
        Specified by:
        getModelFormatBytes in interface ModelExportOutputConfigOrBuilder
        Returns:
        The bytes for modelFormat.

      • setModelFormat

        public ModelExportOutputConfig.Builder setModelFormat​(String value)
         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".

 *  For Video Classification cloud,
      "tf_saved_model".

 *  For Video Object Tracking cloud,
      "tf_saved_model".

 *  For Video Object Tracking mobile-versatile-1:
      "tflite", "edgetpu_tflite", "tf_saved_model", "docker".

 *  For Video Object Tracking mobile-coral-versatile-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-coral-low-latency-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-jetson-versatile-1:
      "tf_saved_model", "docker".

 *  For Tables:
      "docker".

 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;
        Parameters:
        value - The modelFormat to set.
        Returns:
        This builder for chaining.

      • clearModelFormat

        public ModelExportOutputConfig.Builder clearModelFormat()
         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".

 *  For Video Classification cloud,
      "tf_saved_model".

 *  For Video Object Tracking cloud,
      "tf_saved_model".

 *  For Video Object Tracking mobile-versatile-1:
      "tflite", "edgetpu_tflite", "tf_saved_model", "docker".

 *  For Video Object Tracking mobile-coral-versatile-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-coral-low-latency-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-jetson-versatile-1:
      "tf_saved_model", "docker".

 *  For Tables:
      "docker".

 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:
        This builder for chaining.

      • setModelFormatBytes

        public ModelExportOutputConfig.Builder setModelFormatBytes​(com.google.protobuf.ByteString value)
         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".

 *  For Video Classification cloud,
      "tf_saved_model".

 *  For Video Object Tracking cloud,
      "tf_saved_model".

 *  For Video Object Tracking mobile-versatile-1:
      "tflite", "edgetpu_tflite", "tf_saved_model", "docker".

 *  For Video Object Tracking mobile-coral-versatile-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-coral-low-latency-1:
      "tflite", "edgetpu_tflite", "docker".

 *  For Video Object Tracking mobile-jetson-versatile-1:
      "tf_saved_model", "docker".

 *  For Tables:
      "docker".

 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;
        Parameters:
        value - The bytes for modelFormat to set.
        Returns:
        This builder for chaining.

      • getParamsCount

        public int getParamsCount()
        Description copied from interface: ModelExportOutputConfigOrBuilder
         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;
        Specified by:
        getParamsCount in interface ModelExportOutputConfigOrBuilder

      • containsParams

        public 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;
        Specified by:
        containsParams in interface ModelExportOutputConfigOrBuilder

      • getParamsMap

        public 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;
        Specified by:
        getParamsMap in interface ModelExportOutputConfigOrBuilder

      • getParamsOrDefault

        public 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;
        Specified by:
        getParamsOrDefault in interface ModelExportOutputConfigOrBuilder

      • getParamsOrThrow

        public 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;
        Specified by:
        getParamsOrThrow in interface ModelExportOutputConfigOrBuilder

      • removeParams

        public ModelExportOutputConfig.Builder removeParams​(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;

      • getMutableParams

        @Deprecated
public Map<String,​String> getMutableParams()
        Deprecated.
        Use alternate mutation accessors instead.

      • putParams

        public ModelExportOutputConfig.Builder putParams​(String key,
                                                 String value)
         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;

      • putAllParams

        public ModelExportOutputConfig.Builder putAllParams​(Map<String,​String> values)
         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;

      • setUnknownFields

        public final ModelExportOutputConfig.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>

      • mergeUnknownFields

        public final ModelExportOutputConfig.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder>