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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto
package org.tensorflow.framework;
/**
* Protobuf type {@code tensorflow.ThreadPoolOptionProto}
*/
public final class ThreadPoolOptionProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.ThreadPoolOptionProto)
ThreadPoolOptionProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use ThreadPoolOptionProto.newBuilder() to construct.
private ThreadPoolOptionProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ThreadPoolOptionProto() {
numThreads_ = 0;
globalName_ = "";
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
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private ThreadPoolOptionProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
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int mutable_bitField0_ = 0;
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
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case 8: {
numThreads_ = input.readInt32();
break;
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case 18: {
java.lang.String s = input.readStringRequireUtf8();
globalName_ = s;
break;
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} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_ThreadPoolOptionProto_descriptor;
}
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable
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public static final int NUM_THREADS_FIELD_NUMBER = 1;
private int numThreads_;
/**
*
* The number of threads in the pool.
* 0 means the system picks a value based on where this option proto is used
* (see the declaration of the specific field for more info).
*
*
* int32 num_threads = 1;
*/
public int getNumThreads() {
return numThreads_;
}
public static final int GLOBAL_NAME_FIELD_NUMBER = 2;
private volatile java.lang.Object globalName_;
/**
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
*
* string global_name = 2;
*/
public org.nd4j.shade.protobuf.ByteString
getGlobalNameBytes() {
java.lang.Object ref = globalName_;
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
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globalName_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
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private byte memoizedIsInitialized = -1;
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
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public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
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if (numThreads_ != 0) {
output.writeInt32(1, numThreads_);
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if (!getGlobalNameBytes().isEmpty()) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, globalName_);
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unknownFields.writeTo(output);
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public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (numThreads_ != 0) {
size += org.nd4j.shade.protobuf.CodedOutputStream
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size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.framework.ThreadPoolOptionProto)) {
return super.equals(obj);
}
org.tensorflow.framework.ThreadPoolOptionProto other = (org.tensorflow.framework.ThreadPoolOptionProto) obj;
boolean result = true;
result = result && (getNumThreads()
== other.getNumThreads());
result = result && getGlobalName()
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result = result && unknownFields.equals(other.unknownFields);
return result;
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@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NUM_THREADS_FIELD_NUMBER;
hash = (53 * hash) + getNumThreads();
hash = (37 * hash) + GLOBAL_NAME_FIELD_NUMBER;
hash = (53 * hash) + getGlobalName().hashCode();
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ThreadPoolOptionProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.ThreadPoolOptionProto prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code tensorflow.ThreadPoolOptionProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.ThreadPoolOptionProto)
org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_ThreadPoolOptionProto_descriptor;
}
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.framework.ThreadPoolOptionProto.class, org.tensorflow.framework.ThreadPoolOptionProto.Builder.class);
}
// Construct using org.tensorflow.framework.ThreadPoolOptionProto.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
}
}
public Builder clear() {
super.clear();
numThreads_ = 0;
globalName_ = "";
return this;
}
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_ThreadPoolOptionProto_descriptor;
}
public org.tensorflow.framework.ThreadPoolOptionProto getDefaultInstanceForType() {
return org.tensorflow.framework.ThreadPoolOptionProto.getDefaultInstance();
}
public org.tensorflow.framework.ThreadPoolOptionProto build() {
org.tensorflow.framework.ThreadPoolOptionProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
public org.tensorflow.framework.ThreadPoolOptionProto buildPartial() {
org.tensorflow.framework.ThreadPoolOptionProto result = new org.tensorflow.framework.ThreadPoolOptionProto(this);
result.numThreads_ = numThreads_;
result.globalName_ = globalName_;
onBuilt();
return result;
}
public Builder clone() {
return (Builder) super.clone();
}
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return (Builder) super.setField(field, value);
}
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return (Builder) super.clearField(field);
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public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return (Builder) super.clearOneof(oneof);
}
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return (Builder) super.setRepeatedField(field, index, value);
}
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return (Builder) super.addRepeatedField(field, value);
}
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.framework.ThreadPoolOptionProto) {
return mergeFrom((org.tensorflow.framework.ThreadPoolOptionProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.framework.ThreadPoolOptionProto other) {
if (other == org.tensorflow.framework.ThreadPoolOptionProto.getDefaultInstance()) return this;
if (other.getNumThreads() != 0) {
setNumThreads(other.getNumThreads());
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if (!other.getGlobalName().isEmpty()) {
globalName_ = other.globalName_;
onChanged();
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this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
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public final boolean isInitialized() {
return true;
}
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.framework.ThreadPoolOptionProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.framework.ThreadPoolOptionProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
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return this;
}
private int numThreads_ ;
/**
*
* The number of threads in the pool.
* 0 means the system picks a value based on where this option proto is used
* (see the declaration of the specific field for more info).
*
*
* int32 num_threads = 1;
*/
public int getNumThreads() {
return numThreads_;
}
/**
*
* The number of threads in the pool.
* 0 means the system picks a value based on where this option proto is used
* (see the declaration of the specific field for more info).
*
* The number of threads in the pool.
* 0 means the system picks a value based on where this option proto is used
* (see the declaration of the specific field for more info).
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
* The global name of the threadpool.
* If empty, then the threadpool is made and used according to the scope it's
* in - e.g., for a session threadpool, it is used by that session only.
* If non-empty, then:
* - a global threadpool associated with this name is looked
* up or created. This allows, for example, sharing one threadpool across
* many sessions (e.g., like the default behavior, if
* inter_op_parallelism_threads is not configured), but still partitioning
* into a large and small pool.
* - if the threadpool for this global_name already exists, then it is an
* error if the existing pool was created using a different num_threads
* value as is specified on this call.
* - threadpools created this way are never garbage collected.
*
*
* string global_name = 2;
*/
public Builder setGlobalNameBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
globalName_ = value;
onChanged();
return this;
}
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.ThreadPoolOptionProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.ThreadPoolOptionProto)
private static final org.tensorflow.framework.ThreadPoolOptionProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.ThreadPoolOptionProto();
}
public static org.tensorflow.framework.ThreadPoolOptionProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
public ThreadPoolOptionProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new ThreadPoolOptionProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.ThreadPoolOptionProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
