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/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/io.proto
// Protobuf Java Version: 3.25.3
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* Output configuration for ModelExport Action.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig}
*/
public final class ModelExportOutputConfig extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig)
ModelExportOutputConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use ModelExportOutputConfig.newBuilder() to construct.
private ModelExportOutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ModelExportOutputConfig() {
modelFormat_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new ModelExportOutputConfig();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
}
@SuppressWarnings({"rawtypes"})
@java.lang.Override
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(
int number) {
switch (number) {
case 2:
return internalGetParams();
default:
throw new RuntimeException("Invalid map field number: " + number);
}
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class,
com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class);
}
private int destinationCase_ = 0;
@SuppressWarnings("serial")
private java.lang.Object destination_;
public enum DestinationCase
implements
com.google.protobuf.Internal.EnumLite,
com.google.protobuf.AbstractMessage.InternalOneOfEnum {
GCS_DESTINATION(1),
GCR_DESTINATION(3),
DESTINATION_NOT_SET(0);
private final int value;
private DestinationCase(int value) {
this.value = value;
}
/**
* @param value The number of the enum to look for.
* @return The enum associated with the given number.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static DestinationCase valueOf(int value) {
return forNumber(value);
}
public static DestinationCase forNumber(int value) {
switch (value) {
case 1:
return GCS_DESTINATION;
case 3:
return GCR_DESTINATION;
case 0:
return DESTINATION_NOT_SET;
default:
return null;
}
}
public int getNumber() {
return this.value;
}
};
public DestinationCase getDestinationCase() {
return DestinationCase.forNumber(destinationCase_);
}
public static final int GCS_DESTINATION_FIELD_NUMBER = 1;
/**
*
*
*
* 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;
*
* @return Whether the gcsDestination field is set.
*/
@java.lang.Override
public boolean hasGcsDestination() {
return destinationCase_ == 1;
}
/**
*
*
*
* 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;
*
* @return The gcsDestination.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
if (destinationCase_ == 1) {
return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
if (destinationCase_ == 1) {
return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
}
public static final int GCR_DESTINATION_FIELD_NUMBER = 3;
/**
*
*
*
* 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;
*
* @return Whether the gcrDestination field is set.
*/
@java.lang.Override
public boolean hasGcrDestination() {
return destinationCase_ == 3;
}
/**
*
*
*
* 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;
*
* @return The gcrDestination.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() {
if (destinationCase_ == 3) {
return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() {
if (destinationCase_ == 3) {
return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
}
public static final int MODEL_FORMAT_FIELD_NUMBER = 4;
@SuppressWarnings("serial")
private volatile java.lang.Object 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".
*
* * 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;
*
* @return The modelFormat.
*/
@java.lang.Override
public java.lang.String getModelFormat() {
java.lang.Object ref = modelFormat_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
modelFormat_ = s;
return s;
}
}
/**
*
*
*
* 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;
*
* @return The bytes for modelFormat.
*/
@java.lang.Override
public com.google.protobuf.ByteString getModelFormatBytes() {
java.lang.Object ref = modelFormat_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
modelFormat_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int PARAMS_FIELD_NUMBER = 2;
private static final class ParamsDefaultEntryHolder {
static final com.google.protobuf.MapEntry defaultEntry =
com.google.protobuf.MapEntry.newDefaultInstance(
com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.STRING,
"",
com.google.protobuf.WireFormat.FieldType.STRING,
"");
}
@SuppressWarnings("serial")
private com.google.protobuf.MapField params_;
private com.google.protobuf.MapField internalGetParams() {
if (params_ == null) {
return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
}
return params_;
}
public int getParamsCount() {
return internalGetParams().getMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().getMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return 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;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public /* nullable */ java.lang.String getParamsOrDefault(
java.lang.String key,
/* nullable */
java.lang.String defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
return map.containsKey(key) ? map.get(key) : 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;
*/
@java.lang.Override
public java.lang.String getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (destinationCase_ == 1) {
output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
}
com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 2);
if (destinationCase_ == 3) {
output.writeMessage(3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(modelFormat_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 4, modelFormat_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (destinationCase_ == 1) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
}
for (java.util.Map.Entry entry :
internalGetParams().getMap().entrySet()) {
com.google.protobuf.MapEntry params__ =
ParamsDefaultEntryHolder.defaultEntry
.newBuilderForType()
.setKey(entry.getKey())
.setValue(entry.getValue())
.build();
size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, params__);
}
if (destinationCase_ == 3) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(modelFormat_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, modelFormat_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.ModelExportOutputConfig other =
(com.google.cloud.automl.v1beta1.ModelExportOutputConfig) obj;
if (!getModelFormat().equals(other.getModelFormat())) return false;
if (!internalGetParams().equals(other.internalGetParams())) return false;
if (!getDestinationCase().equals(other.getDestinationCase())) return false;
switch (destinationCase_) {
case 1:
if (!getGcsDestination().equals(other.getGcsDestination())) return false;
break;
case 3:
if (!getGcrDestination().equals(other.getGcrDestination())) return false;
break;
case 0:
default:
}
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + MODEL_FORMAT_FIELD_NUMBER;
hash = (53 * hash) + getModelFormat().hashCode();
if (!internalGetParams().getMap().isEmpty()) {
hash = (37 * hash) + PARAMS_FIELD_NUMBER;
hash = (53 * hash) + internalGetParams().hashCode();
}
switch (destinationCase_) {
case 1:
hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
hash = (53 * hash) + getGcsDestination().hashCode();
break;
case 3:
hash = (37 * hash) + GCR_DESTINATION_FIELD_NUMBER;
hash = (53 * hash) + getGcrDestination().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.automl.v1beta1.ModelExportOutputConfig prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Output configuration for ModelExport Action.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig)
com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
}
@SuppressWarnings({"rawtypes"})
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(
int number) {
switch (number) {
case 2:
return internalGetParams();
default:
throw new RuntimeException("Invalid map field number: " + number);
}
}
@SuppressWarnings({"rawtypes"})
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(
int number) {
switch (number) {
case 2:
return internalGetMutableParams();
default:
throw new RuntimeException("Invalid map field number: " + number);
}
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class,
com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class);
}
// Construct using com.google.cloud.automl.v1beta1.ModelExportOutputConfig.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
if (gcsDestinationBuilder_ != null) {
gcsDestinationBuilder_.clear();
}
if (gcrDestinationBuilder_ != null) {
gcrDestinationBuilder_.clear();
}
modelFormat_ = "";
internalGetMutableParams().clear();
destinationCase_ = 0;
destination_ = null;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.Io
.internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ModelExportOutputConfig build() {
com.google.cloud.automl.v1beta1.ModelExportOutputConfig result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ModelExportOutputConfig buildPartial() {
com.google.cloud.automl.v1beta1.ModelExportOutputConfig result =
new com.google.cloud.automl.v1beta1.ModelExportOutputConfig(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
buildPartialOneofs(result);
onBuilt();
return result;
}
private void buildPartial0(com.google.cloud.automl.v1beta1.ModelExportOutputConfig result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000004) != 0)) {
result.modelFormat_ = modelFormat_;
}
if (((from_bitField0_ & 0x00000008) != 0)) {
result.params_ = internalGetParams();
result.params_.makeImmutable();
}
}
private void buildPartialOneofs(
com.google.cloud.automl.v1beta1.ModelExportOutputConfig result) {
result.destinationCase_ = destinationCase_;
result.destination_ = this.destination_;
if (destinationCase_ == 1 && gcsDestinationBuilder_ != null) {
result.destination_ = gcsDestinationBuilder_.build();
}
if (destinationCase_ == 3 && gcrDestinationBuilder_ != null) {
result.destination_ = gcrDestinationBuilder_.build();
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig) {
return mergeFrom((com.google.cloud.automl.v1beta1.ModelExportOutputConfig) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelExportOutputConfig other) {
if (other == com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance())
return this;
if (!other.getModelFormat().isEmpty()) {
modelFormat_ = other.modelFormat_;
bitField0_ |= 0x00000004;
onChanged();
}
internalGetMutableParams().mergeFrom(other.internalGetParams());
bitField0_ |= 0x00000008;
switch (other.getDestinationCase()) {
case GCS_DESTINATION:
{
mergeGcsDestination(other.getGcsDestination());
break;
}
case GCR_DESTINATION:
{
mergeGcrDestination(other.getGcrDestination());
break;
}
case DESTINATION_NOT_SET:
{
break;
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10:
{
input.readMessage(getGcsDestinationFieldBuilder().getBuilder(), extensionRegistry);
destinationCase_ = 1;
break;
} // case 10
case 18:
{
com.google.protobuf.MapEntry params__ =
input.readMessage(
ParamsDefaultEntryHolder.defaultEntry.getParserForType(),
extensionRegistry);
internalGetMutableParams()
.getMutableMap()
.put(params__.getKey(), params__.getValue());
bitField0_ |= 0x00000008;
break;
} // case 18
case 26:
{
input.readMessage(getGcrDestinationFieldBuilder().getBuilder(), extensionRegistry);
destinationCase_ = 3;
break;
} // case 26
case 34:
{
modelFormat_ = input.readStringRequireUtf8();
bitField0_ |= 0x00000004;
break;
} // case 34
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int destinationCase_ = 0;
private java.lang.Object destination_;
public DestinationCase getDestinationCase() {
return DestinationCase.forNumber(destinationCase_);
}
public Builder clearDestination() {
destinationCase_ = 0;
destination_ = null;
onChanged();
return this;
}
private int bitField0_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcsDestination,
com.google.cloud.automl.v1beta1.GcsDestination.Builder,
com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
gcsDestinationBuilder_;
/**
*
*
*
* 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;
*
* @return Whether the gcsDestination field is set.
*/
@java.lang.Override
public boolean hasGcsDestination() {
return destinationCase_ == 1;
}
/**
*
*
*
* 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;
*
* @return The gcsDestination.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
if (gcsDestinationBuilder_ == null) {
if (destinationCase_ == 1) {
return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
} else {
if (destinationCase_ == 1) {
return gcsDestinationBuilder_.getMessage();
}
return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
}
}
/**
*
*
*
* 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 Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
if (gcsDestinationBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
destination_ = value;
onChanged();
} else {
gcsDestinationBuilder_.setMessage(value);
}
destinationCase_ = 1;
return this;
}
/**
*
*
*
* 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 Builder setGcsDestination(
com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) {
if (gcsDestinationBuilder_ == null) {
destination_ = builderForValue.build();
onChanged();
} else {
gcsDestinationBuilder_.setMessage(builderForValue.build());
}
destinationCase_ = 1;
return this;
}
/**
*
*
*
* 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 Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
if (gcsDestinationBuilder_ == null) {
if (destinationCase_ == 1
&& destination_
!= com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) {
destination_ =
com.google.cloud.automl.v1beta1.GcsDestination.newBuilder(
(com.google.cloud.automl.v1beta1.GcsDestination) destination_)
.mergeFrom(value)
.buildPartial();
} else {
destination_ = value;
}
onChanged();
} else {
if (destinationCase_ == 1) {
gcsDestinationBuilder_.mergeFrom(value);
} else {
gcsDestinationBuilder_.setMessage(value);
}
}
destinationCase_ = 1;
return this;
}
/**
*
*
*
* 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 Builder clearGcsDestination() {
if (gcsDestinationBuilder_ == null) {
if (destinationCase_ == 1) {
destinationCase_ = 0;
destination_ = null;
onChanged();
}
} else {
if (destinationCase_ == 1) {
destinationCase_ = 0;
destination_ = null;
}
gcsDestinationBuilder_.clear();
}
return this;
}
/**
*
*
*
* 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 com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() {
return getGcsDestinationFieldBuilder().getBuilder();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) {
return gcsDestinationBuilder_.getMessageOrBuilder();
} else {
if (destinationCase_ == 1) {
return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
}
}
/**
*
*
*
* 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;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcsDestination,
com.google.cloud.automl.v1beta1.GcsDestination.Builder,
com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
getGcsDestinationFieldBuilder() {
if (gcsDestinationBuilder_ == null) {
if (!(destinationCase_ == 1)) {
destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
}
gcsDestinationBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcsDestination,
com.google.cloud.automl.v1beta1.GcsDestination.Builder,
com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>(
(com.google.cloud.automl.v1beta1.GcsDestination) destination_,
getParentForChildren(),
isClean());
destination_ = null;
}
destinationCase_ = 1;
onChanged();
return gcsDestinationBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcrDestination,
com.google.cloud.automl.v1beta1.GcrDestination.Builder,
com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>
gcrDestinationBuilder_;
/**
*
*
*
* 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;
*
* @return Whether the gcrDestination field is set.
*/
@java.lang.Override
public boolean hasGcrDestination() {
return destinationCase_ == 3;
}
/**
*
*
*
* 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;
*
* @return The gcrDestination.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() {
if (gcrDestinationBuilder_ == null) {
if (destinationCase_ == 3) {
return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
} else {
if (destinationCase_ == 3) {
return gcrDestinationBuilder_.getMessage();
}
return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
}
}
/**
*
*
*
* 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;
*/
public Builder setGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) {
if (gcrDestinationBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
destination_ = value;
onChanged();
} else {
gcrDestinationBuilder_.setMessage(value);
}
destinationCase_ = 3;
return this;
}
/**
*
*
*
* 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;
*/
public Builder setGcrDestination(
com.google.cloud.automl.v1beta1.GcrDestination.Builder builderForValue) {
if (gcrDestinationBuilder_ == null) {
destination_ = builderForValue.build();
onChanged();
} else {
gcrDestinationBuilder_.setMessage(builderForValue.build());
}
destinationCase_ = 3;
return this;
}
/**
*
*
*
* 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;
*/
public Builder mergeGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) {
if (gcrDestinationBuilder_ == null) {
if (destinationCase_ == 3
&& destination_
!= com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance()) {
destination_ =
com.google.cloud.automl.v1beta1.GcrDestination.newBuilder(
(com.google.cloud.automl.v1beta1.GcrDestination) destination_)
.mergeFrom(value)
.buildPartial();
} else {
destination_ = value;
}
onChanged();
} else {
if (destinationCase_ == 3) {
gcrDestinationBuilder_.mergeFrom(value);
} else {
gcrDestinationBuilder_.setMessage(value);
}
}
destinationCase_ = 3;
return this;
}
/**
*
*
*
* 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;
*/
public Builder clearGcrDestination() {
if (gcrDestinationBuilder_ == null) {
if (destinationCase_ == 3) {
destinationCase_ = 0;
destination_ = null;
onChanged();
}
} else {
if (destinationCase_ == 3) {
destinationCase_ = 0;
destination_ = null;
}
gcrDestinationBuilder_.clear();
}
return this;
}
/**
*
*
*
* 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;
*/
public com.google.cloud.automl.v1beta1.GcrDestination.Builder getGcrDestinationBuilder() {
return getGcrDestinationFieldBuilder().getBuilder();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() {
if ((destinationCase_ == 3) && (gcrDestinationBuilder_ != null)) {
return gcrDestinationBuilder_.getMessageOrBuilder();
} else {
if (destinationCase_ == 3) {
return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
}
return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
}
}
/**
*
*
*
* 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;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcrDestination,
com.google.cloud.automl.v1beta1.GcrDestination.Builder,
com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>
getGcrDestinationFieldBuilder() {
if (gcrDestinationBuilder_ == null) {
if (!(destinationCase_ == 3)) {
destination_ = com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
}
gcrDestinationBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.GcrDestination,
com.google.cloud.automl.v1beta1.GcrDestination.Builder,
com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>(
(com.google.cloud.automl.v1beta1.GcrDestination) destination_,
getParentForChildren(),
isClean());
destination_ = null;
}
destinationCase_ = 3;
onChanged();
return gcrDestinationBuilder_;
}
private java.lang.Object 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".
*
* * 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;
*
* @return The modelFormat.
*/
public java.lang.String getModelFormat() {
java.lang.Object ref = modelFormat_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
modelFormat_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* 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;
*
* @return The bytes for modelFormat.
*/
public com.google.protobuf.ByteString getModelFormatBytes() {
java.lang.Object ref = modelFormat_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
modelFormat_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* 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;
*
* @param value The modelFormat to set.
* @return This builder for chaining.
*/
public Builder setModelFormat(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
modelFormat_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @return This builder for chaining.
*/
public Builder clearModelFormat() {
modelFormat_ = getDefaultInstance().getModelFormat();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @param value The bytes for modelFormat to set.
* @return This builder for chaining.
*/
public Builder setModelFormatBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
modelFormat_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
private com.google.protobuf.MapField params_;
private com.google.protobuf.MapField internalGetParams() {
if (params_ == null) {
return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
}
return params_;
}
private com.google.protobuf.MapField
internalGetMutableParams() {
if (params_ == null) {
params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
}
if (!params_.isMutable()) {
params_ = params_.copy();
}
bitField0_ |= 0x00000008;
onChanged();
return params_;
}
public int getParamsCount() {
return internalGetParams().getMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().getMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return 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;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public /* nullable */ java.lang.String getParamsOrDefault(
java.lang.String key,
/* nullable */
java.lang.String defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
return map.containsKey(key) ? map.get(key) : 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;
*/
@java.lang.Override
public java.lang.String getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearParams() {
bitField0_ = (bitField0_ & ~0x00000008);
internalGetMutableParams().getMutableMap().clear();
return this;
}
/**
*
*
*
* 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;
*/
public Builder removeParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableParams().getMutableMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map getMutableParams() {
bitField0_ |= 0x00000008;
return internalGetMutableParams().getMutableMap();
}
/**
*
*
*
* 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;
*/
public Builder putParams(java.lang.String key, java.lang.String value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableParams().getMutableMap().put(key, value);
bitField0_ |= 0x00000008;
return this;
}
/**
*
*
*
* 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;
*/
public Builder putAllParams(java.util.Map values) {
internalGetMutableParams().getMutableMap().putAll(values);
bitField0_ |= 0x00000008;
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig)
private static final com.google.cloud.automl.v1beta1.ModelExportOutputConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ModelExportOutputConfig();
}
public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ModelExportOutputConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}