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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto
package org.tensorflow.framework;
/**
*
* Defines a subgraph in another `GraphDef` as a set of feed points and nodes
* to be fetched or executed.
* Compare with the arguments to `Session::Run()`.
*
*
* Protobuf type {@code tensorflow.CallableOptions}
*/
public final class CallableOptions extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.CallableOptions)
CallableOptionsOrBuilder {
private static final long serialVersionUID = 0L;
// Use CallableOptions.newBuilder() to construct.
private CallableOptions(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private CallableOptions() {
feed_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
tensorConnection_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new CallableOptions();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private CallableOptions(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
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switch (tag) {
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feed_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
mutable_bitField0_ |= 0x00000001;
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feed_.add(s);
break;
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java.lang.String s = input.readStringRequireUtf8();
if (!((mutable_bitField0_ & 0x00000002) != 0)) {
fetch_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
mutable_bitField0_ |= 0x00000002;
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fetch_.add(s);
break;
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case 26: {
java.lang.String s = input.readStringRequireUtf8();
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target_ = new org.nd4j.shade.protobuf.LazyStringArrayList();
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target_.add(s);
break;
}
case 34: {
org.tensorflow.framework.RunOptions.Builder subBuilder = null;
if (runOptions_ != null) {
subBuilder = runOptions_.toBuilder();
}
runOptions_ = input.readMessage(org.tensorflow.framework.RunOptions.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(runOptions_);
runOptions_ = subBuilder.buildPartial();
}
break;
}
case 42: {
if (!((mutable_bitField0_ & 0x00000008) != 0)) {
tensorConnection_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x00000008;
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tensorConnection_.add(
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break;
}
default: {
if (!parseUnknownField(
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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(
e).setUnfinishedMessage(this);
} finally {
if (((mutable_bitField0_ & 0x00000001) != 0)) {
feed_ = feed_.getUnmodifiableView();
}
if (((mutable_bitField0_ & 0x00000002) != 0)) {
fetch_ = fetch_.getUnmodifiableView();
}
if (((mutable_bitField0_ & 0x00000004) != 0)) {
target_ = target_.getUnmodifiableView();
}
if (((mutable_bitField0_ & 0x00000008) != 0)) {
tensorConnection_ = java.util.Collections.unmodifiableList(tensorConnection_);
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_CallableOptions_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_CallableOptions_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.framework.CallableOptions.class, org.tensorflow.framework.CallableOptions.Builder.class);
}
public static final int FEED_FIELD_NUMBER = 1;
private org.nd4j.shade.protobuf.LazyStringList feed_;
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
*/
public org.nd4j.shade.protobuf.ByteString
getFeedBytes(int index) {
return feed_.getByteString(index);
}
public static final int FETCH_FIELD_NUMBER = 2;
private org.nd4j.shade.protobuf.LazyStringList fetch_;
/**
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
*
* repeated string fetch = 2;
*/
public int getFetchCount() {
return fetch_.size();
}
/**
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
*
* repeated string fetch = 2;
*/
public org.nd4j.shade.protobuf.ByteString
getFetchBytes(int index) {
return fetch_.getByteString(index);
}
public static final int TARGET_FIELD_NUMBER = 3;
private org.nd4j.shade.protobuf.LazyStringList target_;
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public org.tensorflow.framework.RunOptionsOrBuilder getRunOptionsOrBuilder() {
return getRunOptions();
}
public static final int TENSOR_CONNECTION_FIELD_NUMBER = 5;
private java.util.List tensorConnection_;
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public int getTensorConnectionCount() {
return tensorConnection_.size();
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public org.tensorflow.framework.TensorConnectionOrBuilder getTensorConnectionOrBuilder(
int index) {
return tensorConnection_.get(index);
}
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(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
for (int i = 0; i < feed_.size(); i++) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, feed_.getRaw(i));
}
for (int i = 0; i < fetch_.size(); i++) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, fetch_.getRaw(i));
}
for (int i = 0; i < target_.size(); i++) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 3, target_.getRaw(i));
}
if (runOptions_ != null) {
output.writeMessage(4, getRunOptions());
}
for (int i = 0; i < tensorConnection_.size(); i++) {
output.writeMessage(5, tensorConnection_.get(i));
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
{
int dataSize = 0;
for (int i = 0; i < feed_.size(); i++) {
dataSize += computeStringSizeNoTag(feed_.getRaw(i));
}
size += dataSize;
size += 1 * getFeedList().size();
}
{
int dataSize = 0;
for (int i = 0; i < fetch_.size(); i++) {
dataSize += computeStringSizeNoTag(fetch_.getRaw(i));
}
size += dataSize;
size += 1 * getFetchList().size();
}
{
int dataSize = 0;
for (int i = 0; i < target_.size(); i++) {
dataSize += computeStringSizeNoTag(target_.getRaw(i));
}
size += dataSize;
size += 1 * getTargetList().size();
}
if (runOptions_ != null) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(4, getRunOptions());
}
for (int i = 0; i < tensorConnection_.size(); i++) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(5, tensorConnection_.get(i));
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.framework.CallableOptions)) {
return super.equals(obj);
}
org.tensorflow.framework.CallableOptions other = (org.tensorflow.framework.CallableOptions) obj;
if (!getFeedList()
.equals(other.getFeedList())) return false;
if (!getFetchList()
.equals(other.getFetchList())) return false;
if (!getTargetList()
.equals(other.getTargetList())) return false;
if (hasRunOptions() != other.hasRunOptions()) return false;
if (hasRunOptions()) {
if (!getRunOptions()
.equals(other.getRunOptions())) return false;
}
if (!getTensorConnectionList()
.equals(other.getTensorConnectionList())) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getFeedCount() > 0) {
hash = (37 * hash) + FEED_FIELD_NUMBER;
hash = (53 * hash) + getFeedList().hashCode();
}
if (getFetchCount() > 0) {
hash = (37 * hash) + FETCH_FIELD_NUMBER;
hash = (53 * hash) + getFetchList().hashCode();
}
if (getTargetCount() > 0) {
hash = (37 * hash) + TARGET_FIELD_NUMBER;
hash = (53 * hash) + getTargetList().hashCode();
}
if (hasRunOptions()) {
hash = (37 * hash) + RUN_OPTIONS_FIELD_NUMBER;
hash = (53 * hash) + getRunOptions().hashCode();
}
if (getTensorConnectionCount() > 0) {
hash = (37 * hash) + TENSOR_CONNECTION_FIELD_NUMBER;
hash = (53 * hash) + getTensorConnectionList().hashCode();
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.CallableOptions parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CallableOptions 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.CallableOptions parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CallableOptions 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.CallableOptions parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CallableOptions 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.CallableOptions parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CallableOptions 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.CallableOptions parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CallableOptions 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.CallableOptions 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.CallableOptions 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);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.CallableOptions 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(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Defines a subgraph in another `GraphDef` as a set of feed points and nodes
* to be fetched or executed.
* Compare with the arguments to `Session::Run()`.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
*
* repeated string fetch = 2;
*/
public int getFetchCount() {
return fetch_.size();
}
/**
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
*
* repeated string fetch = 2;
*/
public Builder setFetch(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureFetchIsMutable();
fetch_.set(index, value);
onChanged();
return this;
}
/**
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Fetches. A list of tensor names. The caller of the callable expects a
* tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
* order of specified fetches does not change the execution order.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public int getTensorConnectionCount() {
if (tensorConnectionBuilder_ == null) {
return tensorConnection_.size();
} else {
return tensorConnectionBuilder_.getCount();
}
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public Builder setTensorConnection(
int index, org.tensorflow.framework.TensorConnection value) {
if (tensorConnectionBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTensorConnectionIsMutable();
tensorConnection_.set(index, value);
onChanged();
} else {
tensorConnectionBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public Builder addTensorConnection(org.tensorflow.framework.TensorConnection value) {
if (tensorConnectionBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTensorConnectionIsMutable();
tensorConnection_.add(value);
onChanged();
} else {
tensorConnectionBuilder_.addMessage(value);
}
return this;
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public Builder addTensorConnection(
int index, org.tensorflow.framework.TensorConnection value) {
if (tensorConnectionBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTensorConnectionIsMutable();
tensorConnection_.add(index, value);
onChanged();
} else {
tensorConnectionBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public org.tensorflow.framework.TensorConnection.Builder getTensorConnectionBuilder(
int index) {
return getTensorConnectionFieldBuilder().getBuilder(index);
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public org.tensorflow.framework.TensorConnectionOrBuilder getTensorConnectionOrBuilder(
int index) {
if (tensorConnectionBuilder_ == null) {
return tensorConnection_.get(index); } else {
return tensorConnectionBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
* Tensors to be connected in the callable. Each TensorConnection denotes
* a pair of tensors in the graph, between which an edge will be created
* in the callable.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public java.util.List
getTensorConnectionBuilderList() {
return getTensorConnectionFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorConnection, org.tensorflow.framework.TensorConnection.Builder, org.tensorflow.framework.TensorConnectionOrBuilder>
getTensorConnectionFieldBuilder() {
if (tensorConnectionBuilder_ == null) {
tensorConnectionBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorConnection, org.tensorflow.framework.TensorConnection.Builder, org.tensorflow.framework.TensorConnectionOrBuilder>(
tensorConnection_,
((bitField0_ & 0x00000008) != 0),
getParentForChildren(),
isClean());
tensorConnection_ = null;
}
return tensorConnectionBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.CallableOptions)
}
// @@protoc_insertion_point(class_scope:tensorflow.CallableOptions)
private static final org.tensorflow.framework.CallableOptions DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.CallableOptions();
}
public static org.tensorflow.framework.CallableOptions getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public CallableOptions parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new CallableOptions(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.framework.CallableOptions getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}