public final class ModelExportOutputConfig extends GeneratedMessageV3 implements ModelExportOutputConfigOrBuilder
Output configuration for ModelExport Action.
Protobuf type google.cloud.automl.v1beta1.ModelExportOutputConfig
Static Fields
GCR_DESTINATION_FIELD_NUMBER
public static final int GCR_DESTINATION_FIELD_NUMBER
Field Value
GCS_DESTINATION_FIELD_NUMBER
public static final int GCS_DESTINATION_FIELD_NUMBER
Field Value
public static final int MODEL_FORMAT_FIELD_NUMBER
Field Value
PARAMS_FIELD_NUMBER
public static final int PARAMS_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static ModelExportOutputConfig getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static ModelExportOutputConfig.Builder newBuilder()
Returns
newBuilder(ModelExportOutputConfig prototype)
public static ModelExportOutputConfig.Builder newBuilder(ModelExportOutputConfig prototype)
Parameter
Returns
public static ModelExportOutputConfig parseDelimitedFrom(InputStream input)
Parameter
Returns
Exceptions
public static ModelExportOutputConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(byte[] data)
public static ModelExportOutputConfig parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
Returns
Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ModelExportOutputConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteString data)
public static ModelExportOutputConfig parseFrom(ByteString data)
Parameter
Returns
Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ModelExportOutputConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static ModelExportOutputConfig parseFrom(CodedInputStream input)
Parameter
Returns
Exceptions
public static ModelExportOutputConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static ModelExportOutputConfig parseFrom(InputStream input)
Parameter
Returns
Exceptions
public static ModelExportOutputConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteBuffer data)
public static ModelExportOutputConfig parseFrom(ByteBuffer data)
Parameter
Returns
Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ModelExportOutputConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parser()
public static Parser<ModelExportOutputConfig> parser()
Returns
Methods
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;
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getDefaultInstanceForType()
public ModelExportOutputConfig getDefaultInstanceForType()
Returns
getDestinationCase()
public ModelExportOutputConfig.DestinationCase getDestinationCase()
Returns
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;
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;
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;
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;
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;
| Type | Description |
| String | The modelFormat.
|
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;
| Type | Description |
| ByteString | The bytes for modelFormat.
|
getParams()
public Map<String,String> getParams()
Returns
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;
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;
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;
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;
getParserForType()
public Parser<ModelExportOutputConfig> getParserForType()
Returns
Overrides
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
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;
| 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;
| Type | Description |
| boolean | Whether the gcsDestination field is set.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Parameter
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public ModelExportOutputConfig.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ModelExportOutputConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Returns
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public ModelExportOutputConfig.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
