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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.RPCOptions}
*/
public final class RPCOptions extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.RPCOptions)
RPCOptionsOrBuilder {
private static final long serialVersionUID = 0L;
// Use RPCOptions.newBuilder() to construct.
private RPCOptions(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
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private RPCOptions() {
useRpcForInprocessMaster_ = false;
compressionAlgorithm_ = "";
compressionLevel_ = 0;
cacheRpcResponse_ = false;
disableSessionConnectionSharing_ = false;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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cacheRpcResponse_ = input.readBool();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor;
}
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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public static final int USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER = 1;
private boolean useRpcForInprocessMaster_;
/**
*
* If true, always use RPC to contact the session target.
* If false (the default option), TensorFlow may use an optimized
* transport for client-master communication that avoids the RPC
* stack. This option is primarily for used testing the RPC stack.
*
*
* bool use_rpc_for_inprocess_master = 1;
*/
public boolean getUseRpcForInprocessMaster() {
return useRpcForInprocessMaster_;
}
public static final int COMPRESSION_ALGORITHM_FIELD_NUMBER = 2;
private volatile java.lang.Object compressionAlgorithm_;
/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
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/**
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* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
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public static final int COMPRESSION_LEVEL_FIELD_NUMBER = 3;
private int compressionLevel_;
/**
*
* If compression_algorithm is set, the compression level to be used.
* From 0 (no compression), up to 3.
*
*
* int32 compression_level = 3;
*/
public int getCompressionLevel() {
return compressionLevel_;
}
public static final int CACHE_RPC_RESPONSE_FIELD_NUMBER = 4;
private boolean cacheRpcResponse_;
/**
*
* Setting cache_rpc_response to true will enable sender side caching of
* response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
* requests . This is only necessary when the network fabric is experiencing a
* significant error rate. Without it we'll fail a step on an network error,
* while with it we'll be able to complete long steps (like complex
* initializations) in the face of some network errors during RecvTensor.
*
*
* bool cache_rpc_response = 4;
*/
public boolean getCacheRpcResponse() {
return cacheRpcResponse_;
}
public static final int DISABLE_SESSION_CONNECTION_SHARING_FIELD_NUMBER = 5;
private boolean disableSessionConnectionSharing_;
/**
*
* Disables TCP connection sharing when opening a new RPC channel.
*
*
* bool disable_session_connection_sharing = 5;
*/
public boolean getDisableSessionConnectionSharing() {
return disableSessionConnectionSharing_;
}
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return true;
}
public void writeTo(com.google.protobuf.CodedOutputStream output)
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if (useRpcForInprocessMaster_ != false) {
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if (!getCompressionAlgorithmBytes().isEmpty()) {
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if (cacheRpcResponse_ != false) {
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if (disableSessionConnectionSharing_ != false) {
output.writeBool(5, disableSessionConnectionSharing_);
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unknownFields.writeTo(output);
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size = 0;
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if (cacheRpcResponse_ != false) {
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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.RPCOptions)) {
return super.equals(obj);
}
org.tensorflow.framework.RPCOptions other = (org.tensorflow.framework.RPCOptions) obj;
boolean result = true;
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result = result && (getCompressionLevel()
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result = result && (getCacheRpcResponse()
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result = result && (getDisableSessionConnectionSharing()
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result = result && unknownFields.equals(other.unknownFields);
return result;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
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hash = (37 * hash) + COMPRESSION_ALGORITHM_FIELD_NUMBER;
hash = (53 * hash) + getCompressionAlgorithm().hashCode();
hash = (37 * hash) + COMPRESSION_LEVEL_FIELD_NUMBER;
hash = (53 * hash) + getCompressionLevel();
hash = (37 * hash) + CACHE_RPC_RESPONSE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
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hash = (37 * hash) + DISABLE_SESSION_CONNECTION_SHARING_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
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hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
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}
public static org.tensorflow.framework.RPCOptions parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.RPCOptions parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.RPCOptions parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.RPCOptions parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.RPCOptions parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.RPCOptions parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.RPCOptions parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.RPCOptions 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 org.tensorflow.framework.RPCOptions parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.RPCOptions 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 org.tensorflow.framework.RPCOptions parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.RPCOptions parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.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.RPCOptions 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(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code tensorflow.RPCOptions}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.RPCOptions)
org.tensorflow.framework.RPCOptionsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor;
}
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.framework.RPCOptions.class, org.tensorflow.framework.RPCOptions.Builder.class);
}
// Construct using org.tensorflow.framework.RPCOptions.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3
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public Builder clear() {
super.clear();
useRpcForInprocessMaster_ = false;
compressionAlgorithm_ = "";
compressionLevel_ = 0;
cacheRpcResponse_ = false;
disableSessionConnectionSharing_ = false;
return this;
}
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_RPCOptions_descriptor;
}
public org.tensorflow.framework.RPCOptions getDefaultInstanceForType() {
return org.tensorflow.framework.RPCOptions.getDefaultInstance();
}
public org.tensorflow.framework.RPCOptions build() {
org.tensorflow.framework.RPCOptions result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
public org.tensorflow.framework.RPCOptions buildPartial() {
org.tensorflow.framework.RPCOptions result = new org.tensorflow.framework.RPCOptions(this);
result.useRpcForInprocessMaster_ = useRpcForInprocessMaster_;
result.compressionAlgorithm_ = compressionAlgorithm_;
result.compressionLevel_ = compressionLevel_;
result.cacheRpcResponse_ = cacheRpcResponse_;
result.disableSessionConnectionSharing_ = disableSessionConnectionSharing_;
onBuilt();
return result;
}
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return (Builder) super.clone();
}
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com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
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com.google.protobuf.Descriptors.FieldDescriptor field) {
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com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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com.google.protobuf.Descriptors.FieldDescriptor field,
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com.google.protobuf.Descriptors.FieldDescriptor field,
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public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof org.tensorflow.framework.RPCOptions) {
return mergeFrom((org.tensorflow.framework.RPCOptions)other);
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super.mergeFrom(other);
return this;
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}
public Builder mergeFrom(org.tensorflow.framework.RPCOptions other) {
if (other == org.tensorflow.framework.RPCOptions.getDefaultInstance()) return this;
if (other.getUseRpcForInprocessMaster() != false) {
setUseRpcForInprocessMaster(other.getUseRpcForInprocessMaster());
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if (!other.getCompressionAlgorithm().isEmpty()) {
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onChanged();
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if (other.getCacheRpcResponse() != false) {
setCacheRpcResponse(other.getCacheRpcResponse());
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if (other.getDisableSessionConnectionSharing() != false) {
setDisableSessionConnectionSharing(other.getDisableSessionConnectionSharing());
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
public final boolean isInitialized() {
return true;
}
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.framework.RPCOptions parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.framework.RPCOptions) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private boolean useRpcForInprocessMaster_ ;
/**
*
* If true, always use RPC to contact the session target.
* If false (the default option), TensorFlow may use an optimized
* transport for client-master communication that avoids the RPC
* stack. This option is primarily for used testing the RPC stack.
*
*
* bool use_rpc_for_inprocess_master = 1;
*/
public boolean getUseRpcForInprocessMaster() {
return useRpcForInprocessMaster_;
}
/**
*
* If true, always use RPC to contact the session target.
* If false (the default option), TensorFlow may use an optimized
* transport for client-master communication that avoids the RPC
* stack. This option is primarily for used testing the RPC stack.
*
*
* bool use_rpc_for_inprocess_master = 1;
*/
public Builder setUseRpcForInprocessMaster(boolean value) {
useRpcForInprocessMaster_ = value;
onChanged();
return this;
}
/**
*
* If true, always use RPC to contact the session target.
* If false (the default option), TensorFlow may use an optimized
* transport for client-master communication that avoids the RPC
* stack. This option is primarily for used testing the RPC stack.
*
*
* bool use_rpc_for_inprocess_master = 1;
*/
public Builder clearUseRpcForInprocessMaster() {
useRpcForInprocessMaster_ = false;
onChanged();
return this;
}
private java.lang.Object compressionAlgorithm_ = "";
/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
public java.lang.String getCompressionAlgorithm() {
java.lang.Object ref = compressionAlgorithm_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
compressionAlgorithm_ = s;
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/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
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getCompressionAlgorithmBytes() {
java.lang.Object ref = compressionAlgorithm_;
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compressionAlgorithm_ = b;
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/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
public Builder setCompressionAlgorithm(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
compressionAlgorithm_ = value;
onChanged();
return this;
}
/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
public Builder clearCompressionAlgorithm() {
compressionAlgorithm_ = getDefaultInstance().getCompressionAlgorithm();
onChanged();
return this;
}
/**
*
* The compression algorithm to be used. One of "deflate", "gzip".
*
*
* string compression_algorithm = 2;
*/
public Builder setCompressionAlgorithmBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
compressionAlgorithm_ = value;
onChanged();
return this;
}
private int compressionLevel_ ;
/**
*
* If compression_algorithm is set, the compression level to be used.
* From 0 (no compression), up to 3.
*
*
* int32 compression_level = 3;
*/
public int getCompressionLevel() {
return compressionLevel_;
}
/**
*
* If compression_algorithm is set, the compression level to be used.
* From 0 (no compression), up to 3.
*
*
* int32 compression_level = 3;
*/
public Builder setCompressionLevel(int value) {
compressionLevel_ = value;
onChanged();
return this;
}
/**
*
* If compression_algorithm is set, the compression level to be used.
* From 0 (no compression), up to 3.
*
*
* int32 compression_level = 3;
*/
public Builder clearCompressionLevel() {
compressionLevel_ = 0;
onChanged();
return this;
}
private boolean cacheRpcResponse_ ;
/**
*
* Setting cache_rpc_response to true will enable sender side caching of
* response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
* requests . This is only necessary when the network fabric is experiencing a
* significant error rate. Without it we'll fail a step on an network error,
* while with it we'll be able to complete long steps (like complex
* initializations) in the face of some network errors during RecvTensor.
*
*
* bool cache_rpc_response = 4;
*/
public boolean getCacheRpcResponse() {
return cacheRpcResponse_;
}
/**
*
* Setting cache_rpc_response to true will enable sender side caching of
* response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
* requests . This is only necessary when the network fabric is experiencing a
* significant error rate. Without it we'll fail a step on an network error,
* while with it we'll be able to complete long steps (like complex
* initializations) in the face of some network errors during RecvTensor.
*
*
* bool cache_rpc_response = 4;
*/
public Builder setCacheRpcResponse(boolean value) {
cacheRpcResponse_ = value;
onChanged();
return this;
}
/**
*
* Setting cache_rpc_response to true will enable sender side caching of
* response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
* requests . This is only necessary when the network fabric is experiencing a
* significant error rate. Without it we'll fail a step on an network error,
* while with it we'll be able to complete long steps (like complex
* initializations) in the face of some network errors during RecvTensor.
*
*
* bool cache_rpc_response = 4;
*/
public Builder clearCacheRpcResponse() {
cacheRpcResponse_ = false;
onChanged();
return this;
}
private boolean disableSessionConnectionSharing_ ;
/**
*
* Disables TCP connection sharing when opening a new RPC channel.
*
*
* bool disable_session_connection_sharing = 5;
*/
public boolean getDisableSessionConnectionSharing() {
return disableSessionConnectionSharing_;
}
/**
*
* Disables TCP connection sharing when opening a new RPC channel.
*
*
* bool disable_session_connection_sharing = 5;
*/
public Builder setDisableSessionConnectionSharing(boolean value) {
disableSessionConnectionSharing_ = value;
onChanged();
return this;
}
/**
*
* Disables TCP connection sharing when opening a new RPC channel.
*
*
* bool disable_session_connection_sharing = 5;
*/
public Builder clearDisableSessionConnectionSharing() {
disableSessionConnectionSharing_ = false;
onChanged();
return this;
}
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.RPCOptions)
}
// @@protoc_insertion_point(class_scope:tensorflow.RPCOptions)
private static final org.tensorflow.framework.RPCOptions DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.RPCOptions();
}
public static org.tensorflow.framework.RPCOptions getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public RPCOptions parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new RPCOptions(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.RPCOptions getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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