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PROTO library for proto-google-cloud-automl-v1beta1
/*
* 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/image.proto
// Protobuf Java Version: 3.25.3
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* Model deployment metadata specific to Image Classification.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata}
*/
public final class ImageClassificationModelDeploymentMetadata
extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata)
ImageClassificationModelDeploymentMetadataOrBuilder {
private static final long serialVersionUID = 0L;
// Use ImageClassificationModelDeploymentMetadata.newBuilder() to construct.
private ImageClassificationModelDeploymentMetadata(
com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ImageClassificationModelDeploymentMetadata() {}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new ImageClassificationModelDeploymentMetadata();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.ImageProto
.internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.ImageProto
.internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.class,
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder
.class);
}
public static final int NODE_COUNT_FIELD_NUMBER = 1;
private long nodeCount_ = 0L;
/**
*
*
*
* Input only. The number of nodes to deploy the model on. A node is an
* abstraction of a machine resource, which can handle online prediction QPS
* as given in the model's
*
* [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
* Must be between 1 and 100, inclusive on both ends.
*
*
* int64 node_count = 1;
*
* @return The nodeCount.
*/
@java.lang.Override
public long getNodeCount() {
return nodeCount_;
}
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 (nodeCount_ != 0L) {
output.writeInt64(1, nodeCount_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (nodeCount_ != 0L) {
size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, nodeCount_);
}
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.ImageClassificationModelDeploymentMetadata)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata other =
(com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) obj;
if (getNodeCount() != other.getNodeCount()) return false;
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) + NODE_COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
parseFrom(com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
parseFrom(java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata
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.ImageClassificationModelDeploymentMetadata 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;
}
/**
*
*
*
* Model deployment metadata specific to Image Classification.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata)
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.ImageProto
.internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.ImageProto
.internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.class,
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder
.class);
}
// Construct using
// com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
nodeCount_ = 0L;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.ImageProto
.internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata build() {
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata result =
buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
buildPartial() {
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata result =
new com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.nodeCount_ = nodeCount_;
}
}
@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.ImageClassificationModelDeploymentMetadata) {
return mergeFrom(
(com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata other) {
if (other
== com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
.getDefaultInstance()) return this;
if (other.getNodeCount() != 0L) {
setNodeCount(other.getNodeCount());
}
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 8:
{
nodeCount_ = input.readInt64();
bitField0_ |= 0x00000001;
break;
} // case 8
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 bitField0_;
private long nodeCount_;
/**
*
*
*
* Input only. The number of nodes to deploy the model on. A node is an
* abstraction of a machine resource, which can handle online prediction QPS
* as given in the model's
*
* [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
* Must be between 1 and 100, inclusive on both ends.
*
*
* int64 node_count = 1;
*
* @return The nodeCount.
*/
@java.lang.Override
public long getNodeCount() {
return nodeCount_;
}
/**
*
*
*
* Input only. The number of nodes to deploy the model on. A node is an
* abstraction of a machine resource, which can handle online prediction QPS
* as given in the model's
*
* [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
* Must be between 1 and 100, inclusive on both ends.
*
*
* int64 node_count = 1;
*
* @param value The nodeCount to set.
* @return This builder for chaining.
*/
public Builder setNodeCount(long value) {
nodeCount_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Input only. The number of nodes to deploy the model on. A node is an
* abstraction of a machine resource, which can handle online prediction QPS
* as given in the model's
*
* [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
* Must be between 1 and 100, inclusive on both ends.
*
*
* int64 node_count = 1;
*
* @return This builder for chaining.
*/
public Builder clearNodeCount() {
bitField0_ = (bitField0_ & ~0x00000001);
nodeCount_ = 0L;
onChanged();
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.ImageClassificationModelDeploymentMetadata)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata)
private static final com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE =
new com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata();
}
public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ImageClassificationModelDeploymentMetadata 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.ImageClassificationModelDeploymentMetadata
getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}