Class ModelExportOutputConfig.Builder (2.45.0) 

public static final class ModelExportOutputConfig.Builder extends GeneratedMessageV3.Builder<ModelExportOutputConfig.Builder> implements ModelExportOutputConfigOrBuilder

Output configuration for ModelExport Action.

Protobuf type google.cloud.automl.v1beta1.ModelExportOutputConfig

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelExportOutputConfig.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelExportOutputConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

build()

public ModelExportOutputConfig build()
Returns
Type Description
ModelExportOutputConfig

buildPartial()

public ModelExportOutputConfig buildPartial()
Returns
Type Description
ModelExportOutputConfig

clear()

public ModelExportOutputConfig.Builder clear()
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

clearDestination()

public ModelExportOutputConfig.Builder clearDestination()
Returns
Type Description
ModelExportOutputConfig.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelExportOutputConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

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;

Returns
Type Description
ModelExportOutputConfig.Builder

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;

Returns
Type Description
ModelExportOutputConfig.Builder

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 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

  • core_ml - Used for iOS mobile devices.

string model_format = 4;

Returns
Type Description
ModelExportOutputConfig.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelExportOutputConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

clearParams()

public ModelExportOutputConfig.Builder clearParams()
Returns
Type Description
ModelExportOutputConfig.Builder

clone()

public ModelExportOutputConfig.Builder clone()
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

containsParams(String key)

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;

Parameter
Name Description
key String
Returns
Type Description
boolean

getDefaultInstanceForType()

public ModelExportOutputConfig getDefaultInstanceForType()
Returns
Type Description
ModelExportOutputConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getDestinationCase()

public ModelExportOutputConfig.DestinationCase getDestinationCase()
Returns
Type Description
ModelExportOutputConfig.DestinationCase

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;

Returns
Type Description
GcrDestination

The gcrDestination.

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;

Returns
Type Description
GcrDestination.Builder

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;

Returns
Type Description
GcrDestinationOrBuilder

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;

Returns
Type Description
GcsDestination

The gcsDestination.

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;

Returns
Type Description
GcsDestination.Builder

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;

Returns
Type Description
GcsDestinationOrBuilder

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 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

  • core_ml - Used for iOS mobile devices.

string model_format = 4;

Returns
Type Description
String

The modelFormat.

getModelFormatBytes()

public 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 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

  • core_ml - Used for iOS mobile devices.

string model_format = 4;

Returns
Type Description
ByteString

The bytes for modelFormat.

getMutableParams() (deprecated)

public Map<String,String> getMutableParams()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getParams() (deprecated)

public Map<String,String> getParams()

Use #getParamsMap() instead.

Returns
Type Description
Map<String,String>

getParamsCount()

public 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;

Returns
Type Description
int

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;

Returns
Type Description
Map<String,String>

getParamsOrDefault(String key, String defaultValue)

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;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getParamsOrThrow(String key)

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;

Parameter
Name Description
key String
Returns
Type Description
String

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;

Returns
Type Description
boolean

Whether the gcrDestination field is set.

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;

Returns
Type Description
boolean

Whether the gcsDestination field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(ModelExportOutputConfig other)

public ModelExportOutputConfig.Builder mergeFrom(ModelExportOutputConfig other)
Parameter
Name Description
other ModelExportOutputConfig
Returns
Type Description
ModelExportOutputConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelExportOutputConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ModelExportOutputConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

mergeGcrDestination(GcrDestination value)

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;

Parameter
Name Description
value GcrDestination
Returns
Type Description
ModelExportOutputConfig.Builder

mergeGcsDestination(GcsDestination value)

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;

Parameter
Name Description
value GcsDestination
Returns
Type Description
ModelExportOutputConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelExportOutputConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

putAllParams(Map<String,String> values)

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;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
ModelExportOutputConfig.Builder

putParams(String key, String value)

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;

Parameters
Name Description
key String
value String
Returns
Type Description
ModelExportOutputConfig.Builder

removeParams(String key)

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;

Parameter
Name Description
key String
Returns
Type Description
ModelExportOutputConfig.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ModelExportOutputConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

setGcrDestination(GcrDestination value)

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;

Parameter
Name Description
value GcrDestination
Returns
Type Description
ModelExportOutputConfig.Builder

setGcrDestination(GcrDestination.Builder builderForValue)

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;

Parameter
Name Description
builderForValue GcrDestination.Builder
Returns
Type Description
ModelExportOutputConfig.Builder

setGcsDestination(GcsDestination value)

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;

Parameter
Name Description
value GcsDestination
Returns
Type Description
ModelExportOutputConfig.Builder

setGcsDestination(GcsDestination.Builder builderForValue)

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;

Parameter
Name Description
builderForValue GcsDestination.Builder
Returns
Type Description
ModelExportOutputConfig.Builder

setModelFormat(String value)

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 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

  • core_ml - Used for iOS mobile devices.

string model_format = 4;

Parameter
Name Description
value String

The modelFormat to set.
Returns
Type Description
ModelExportOutputConfig.Builder

This builder for chaining.

setModelFormatBytes(ByteString value)

public ModelExportOutputConfig.Builder setModelFormatBytes(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 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

  • core_ml - Used for iOS mobile devices.

string model_format = 4;

Parameter
Name Description
value ByteString

The bytes for modelFormat to set.
Returns
Type Description
ModelExportOutputConfig.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelExportOutputConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelExportOutputConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ModelExportOutputConfig.Builder
Overrides