org.tensorflow.framework.CallableOptions Maven / Gradle / Ivy
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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();
}
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public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_CallableOptions_descriptor;
}
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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.
*
*
* repeated string feed = 1;
* @return A list containing the feed.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFeedList() {
return feed_;
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @return The count of feed.
*/
public int getFeedCount() {
return feed_.size();
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param index The index of the element to return.
* @return The feed at the given index.
*/
public java.lang.String getFeed(int index) {
return feed_.get(index);
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param index The index of the value to return.
* @return The bytes of the feed at the given index.
*/
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.
*
*
* repeated string fetch = 2;
* @return A list containing the fetch.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFetchList() {
return 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.
*
*
* repeated string fetch = 2;
* @return The count of fetch.
*/
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.
*
*
* repeated string fetch = 2;
* @param index The index of the element to return.
* @return The fetch at the given index.
*/
public java.lang.String getFetch(int index) {
return fetch_.get(index);
}
/**
*
* 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;
* @param index The index of the value to return.
* @return The bytes of the fetch at the given index.
*/
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.
*
*
* repeated string target = 3;
* @return A list containing the target.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getTargetList() {
return target_;
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @return The count of target.
*/
public int getTargetCount() {
return target_.size();
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param index The index of the element to return.
* @return The target at the given index.
*/
public java.lang.String getTarget(int index) {
return target_.get(index);
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param index The index of the value to return.
* @return The bytes of the target at the given index.
*/
public org.nd4j.shade.protobuf.ByteString
getTargetBytes(int index) {
return target_.getByteString(index);
}
public static final int RUN_OPTIONS_FIELD_NUMBER = 4;
private org.tensorflow.framework.RunOptions runOptions_;
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
* @return Whether the runOptions field is set.
*/
@java.lang.Override
public boolean hasRunOptions() {
return runOptions_ != null;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
* @return The runOptions.
*/
@java.lang.Override
public org.tensorflow.framework.RunOptions getRunOptions() {
return runOptions_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : runOptions_;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
@java.lang.Override
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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
@java.lang.Override
public java.util.List getTensorConnectionList() {
return 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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
@java.lang.Override
public java.util.List
getTensorConnectionOrBuilderList() {
return 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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
@java.lang.Override
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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
@java.lang.Override
public org.tensorflow.framework.TensorConnection getTensorConnection(int index) {
return tensorConnection_.get(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;
*/
@java.lang.Override
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)
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@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
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{
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@java.lang.Override
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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()
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if (!getFetchList()
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if (!getTargetList()
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if (hasRunOptions() != other.hasRunOptions()) return false;
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}
if (!getTensorConnectionList()
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if (!unknownFields.equals(other.unknownFields)) return false;
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public static org.tensorflow.framework.CallableOptions parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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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);
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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)
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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);
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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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
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}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
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}
public static Builder newBuilder(org.tensorflow.framework.CallableOptions prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
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return this == DEFAULT_INSTANCE
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}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
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/**
*
* 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 static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.CallableOptions)
org.tensorflow.framework.CallableOptionsOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_CallableOptions_descriptor;
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.framework.CallableOptions) {
return mergeFrom((org.tensorflow.framework.CallableOptions)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.framework.CallableOptions other) {
if (other == org.tensorflow.framework.CallableOptions.getDefaultInstance()) return this;
if (!other.feed_.isEmpty()) {
if (feed_.isEmpty()) {
feed_ = other.feed_;
bitField0_ = (bitField0_ & ~0x00000001);
} else {
ensureFeedIsMutable();
feed_.addAll(other.feed_);
}
onChanged();
}
if (!other.fetch_.isEmpty()) {
if (fetch_.isEmpty()) {
fetch_ = other.fetch_;
bitField0_ = (bitField0_ & ~0x00000002);
} else {
ensureFetchIsMutable();
fetch_.addAll(other.fetch_);
}
onChanged();
}
if (!other.target_.isEmpty()) {
if (target_.isEmpty()) {
target_ = other.target_;
bitField0_ = (bitField0_ & ~0x00000004);
} else {
ensureTargetIsMutable();
target_.addAll(other.target_);
}
onChanged();
}
if (other.hasRunOptions()) {
mergeRunOptions(other.getRunOptions());
}
if (tensorConnectionBuilder_ == null) {
if (!other.tensorConnection_.isEmpty()) {
if (tensorConnection_.isEmpty()) {
tensorConnection_ = other.tensorConnection_;
bitField0_ = (bitField0_ & ~0x00000008);
} else {
ensureTensorConnectionIsMutable();
tensorConnection_.addAll(other.tensorConnection_);
}
onChanged();
}
} else {
if (!other.tensorConnection_.isEmpty()) {
if (tensorConnectionBuilder_.isEmpty()) {
tensorConnectionBuilder_.dispose();
tensorConnectionBuilder_ = null;
tensorConnection_ = other.tensorConnection_;
bitField0_ = (bitField0_ & ~0x00000008);
tensorConnectionBuilder_ =
org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getTensorConnectionFieldBuilder() : null;
} else {
tensorConnectionBuilder_.addAllMessages(other.tensorConnection_);
}
}
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.framework.CallableOptions parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.framework.CallableOptions) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private org.nd4j.shade.protobuf.LazyStringList feed_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
private void ensureFeedIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
feed_ = new org.nd4j.shade.protobuf.LazyStringArrayList(feed_);
bitField0_ |= 0x00000001;
}
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @return A list containing the feed.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFeedList() {
return feed_.getUnmodifiableView();
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @return The count of feed.
*/
public int getFeedCount() {
return feed_.size();
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param index The index of the element to return.
* @return The feed at the given index.
*/
public java.lang.String getFeed(int index) {
return feed_.get(index);
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param index The index of the value to return.
* @return The bytes of the feed at the given index.
*/
public org.nd4j.shade.protobuf.ByteString
getFeedBytes(int index) {
return feed_.getByteString(index);
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param index The index to set the value at.
* @param value The feed to set.
* @return This builder for chaining.
*/
public Builder setFeed(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureFeedIsMutable();
feed_.set(index, value);
onChanged();
return this;
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param value The feed to add.
* @return This builder for chaining.
*/
public Builder addFeed(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureFeedIsMutable();
feed_.add(value);
onChanged();
return this;
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param values The feed to add.
* @return This builder for chaining.
*/
public Builder addAllFeed(
java.lang.Iterable values) {
ensureFeedIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, feed_);
onChanged();
return this;
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @return This builder for chaining.
*/
public Builder clearFeed() {
feed_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
/**
*
* Tensors to be fed in the callable. Each feed is the name of a tensor.
*
*
* repeated string feed = 1;
* @param value The bytes of the feed to add.
* @return This builder for chaining.
*/
public Builder addFeedBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureFeedIsMutable();
feed_.add(value);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.LazyStringList fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
private void ensureFetchIsMutable() {
if (!((bitField0_ & 0x00000002) != 0)) {
fetch_ = new org.nd4j.shade.protobuf.LazyStringArrayList(fetch_);
bitField0_ |= 0x00000002;
}
}
/**
*
* 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;
* @return A list containing the fetch.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFetchList() {
return fetch_.getUnmodifiableView();
}
/**
*
* 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;
* @return The count of fetch.
*/
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.
*
*
* repeated string fetch = 2;
* @param index The index of the element to return.
* @return The fetch at the given index.
*/
public java.lang.String getFetch(int index) {
return fetch_.get(index);
}
/**
*
* 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;
* @param index The index of the value to return.
* @return The bytes of the fetch at the given index.
*/
public org.nd4j.shade.protobuf.ByteString
getFetchBytes(int index) {
return fetch_.getByteString(index);
}
/**
*
* 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;
* @param index The index to set the value at.
* @param value The fetch to set.
* @return This builder for chaining.
*/
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.
*
*
* repeated string fetch = 2;
* @param value The fetch to add.
* @return This builder for chaining.
*/
public Builder addFetch(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureFetchIsMutable();
fetch_.add(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.
*
*
* repeated string fetch = 2;
* @param values The fetch to add.
* @return This builder for chaining.
*/
public Builder addAllFetch(
java.lang.Iterable values) {
ensureFetchIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, fetch_);
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.
*
*
* repeated string fetch = 2;
* @return This builder for chaining.
*/
public Builder clearFetch() {
fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000002);
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.
*
*
* repeated string fetch = 2;
* @param value The bytes of the fetch to add.
* @return This builder for chaining.
*/
public Builder addFetchBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureFetchIsMutable();
fetch_.add(value);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.LazyStringList target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
private void ensureTargetIsMutable() {
if (!((bitField0_ & 0x00000004) != 0)) {
target_ = new org.nd4j.shade.protobuf.LazyStringArrayList(target_);
bitField0_ |= 0x00000004;
}
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @return A list containing the target.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getTargetList() {
return target_.getUnmodifiableView();
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @return The count of target.
*/
public int getTargetCount() {
return target_.size();
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param index The index of the element to return.
* @return The target at the given index.
*/
public java.lang.String getTarget(int index) {
return target_.get(index);
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param index The index of the value to return.
* @return The bytes of the target at the given index.
*/
public org.nd4j.shade.protobuf.ByteString
getTargetBytes(int index) {
return target_.getByteString(index);
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param index The index to set the value at.
* @param value The target to set.
* @return This builder for chaining.
*/
public Builder setTarget(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureTargetIsMutable();
target_.set(index, value);
onChanged();
return this;
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param value The target to add.
* @return This builder for chaining.
*/
public Builder addTarget(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureTargetIsMutable();
target_.add(value);
onChanged();
return this;
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param values The target to add.
* @return This builder for chaining.
*/
public Builder addAllTarget(
java.lang.Iterable values) {
ensureTargetIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, target_);
onChanged();
return this;
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @return This builder for chaining.
*/
public Builder clearTarget() {
target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run by the
* callable but their outputs will not be returned.
*
*
* repeated string target = 3;
* @param value The bytes of the target to add.
* @return This builder for chaining.
*/
public Builder addTargetBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureTargetIsMutable();
target_.add(value);
onChanged();
return this;
}
private org.tensorflow.framework.RunOptions runOptions_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder> runOptionsBuilder_;
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
* @return Whether the runOptions field is set.
*/
public boolean hasRunOptions() {
return runOptionsBuilder_ != null || runOptions_ != null;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
* @return The runOptions.
*/
public org.tensorflow.framework.RunOptions getRunOptions() {
if (runOptionsBuilder_ == null) {
return runOptions_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : runOptions_;
} else {
return runOptionsBuilder_.getMessage();
}
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public Builder setRunOptions(org.tensorflow.framework.RunOptions value) {
if (runOptionsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
runOptions_ = value;
onChanged();
} else {
runOptionsBuilder_.setMessage(value);
}
return this;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public Builder setRunOptions(
org.tensorflow.framework.RunOptions.Builder builderForValue) {
if (runOptionsBuilder_ == null) {
runOptions_ = builderForValue.build();
onChanged();
} else {
runOptionsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public Builder mergeRunOptions(org.tensorflow.framework.RunOptions value) {
if (runOptionsBuilder_ == null) {
if (runOptions_ != null) {
runOptions_ =
org.tensorflow.framework.RunOptions.newBuilder(runOptions_).mergeFrom(value).buildPartial();
} else {
runOptions_ = value;
}
onChanged();
} else {
runOptionsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public Builder clearRunOptions() {
if (runOptionsBuilder_ == null) {
runOptions_ = null;
onChanged();
} else {
runOptions_ = null;
runOptionsBuilder_ = null;
}
return this;
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public org.tensorflow.framework.RunOptions.Builder getRunOptionsBuilder() {
onChanged();
return getRunOptionsFieldBuilder().getBuilder();
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
public org.tensorflow.framework.RunOptionsOrBuilder getRunOptionsOrBuilder() {
if (runOptionsBuilder_ != null) {
return runOptionsBuilder_.getMessageOrBuilder();
} else {
return runOptions_ == null ?
org.tensorflow.framework.RunOptions.getDefaultInstance() : runOptions_;
}
}
/**
*
* Options that will be applied to each run.
*
*
* .tensorflow.RunOptions run_options = 4;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder>
getRunOptionsFieldBuilder() {
if (runOptionsBuilder_ == null) {
runOptionsBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder>(
getRunOptions(),
getParentForChildren(),
isClean());
runOptions_ = null;
}
return runOptionsBuilder_;
}
private java.util.List tensorConnection_ =
java.util.Collections.emptyList();
private void ensureTensorConnectionIsMutable() {
if (!((bitField0_ & 0x00000008) != 0)) {
tensorConnection_ = new java.util.ArrayList(tensorConnection_);
bitField0_ |= 0x00000008;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorConnection, org.tensorflow.framework.TensorConnection.Builder, org.tensorflow.framework.TensorConnectionOrBuilder> tensorConnectionBuilder_;
/**
*
* 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 getTensorConnectionList() {
if (tensorConnectionBuilder_ == null) {
return java.util.Collections.unmodifiableList(tensorConnection_);
} else {
return tensorConnectionBuilder_.getMessageList();
}
}
/**
*
* 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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public org.tensorflow.framework.TensorConnection getTensorConnection(int index) {
if (tensorConnectionBuilder_ == null) {
return tensorConnection_.get(index);
} else {
return tensorConnectionBuilder_.getMessage(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 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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public Builder setTensorConnection(
int index, org.tensorflow.framework.TensorConnection.Builder builderForValue) {
if (tensorConnectionBuilder_ == null) {
ensureTensorConnectionIsMutable();
tensorConnection_.set(index, builderForValue.build());
onChanged();
} else {
tensorConnectionBuilder_.setMessage(index, builderForValue.build());
}
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(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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public Builder addTensorConnection(
org.tensorflow.framework.TensorConnection.Builder builderForValue) {
if (tensorConnectionBuilder_ == null) {
ensureTensorConnectionIsMutable();
tensorConnection_.add(builderForValue.build());
onChanged();
} else {
tensorConnectionBuilder_.addMessage(builderForValue.build());
}
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.Builder builderForValue) {
if (tensorConnectionBuilder_ == null) {
ensureTensorConnectionIsMutable();
tensorConnection_.add(index, builderForValue.build());
onChanged();
} else {
tensorConnectionBuilder_.addMessage(index, builderForValue.build());
}
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 addAllTensorConnection(
java.lang.Iterable values) {
if (tensorConnectionBuilder_ == null) {
ensureTensorConnectionIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, tensorConnection_);
onChanged();
} else {
tensorConnectionBuilder_.addAllMessages(values);
}
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 clearTensorConnection() {
if (tensorConnectionBuilder_ == null) {
tensorConnection_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
} else {
tensorConnectionBuilder_.clear();
}
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 removeTensorConnection(int index) {
if (tensorConnectionBuilder_ == null) {
ensureTensorConnectionIsMutable();
tensorConnection_.remove(index);
onChanged();
} else {
tensorConnectionBuilder_.remove(index);
}
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 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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public java.util.List
getTensorConnectionOrBuilderList() {
if (tensorConnectionBuilder_ != null) {
return tensorConnectionBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(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.
*
*
* repeated .tensorflow.TensorConnection tensor_connection = 5;
*/
public org.tensorflow.framework.TensorConnection.Builder addTensorConnectionBuilder() {
return getTensorConnectionFieldBuilder().addBuilder(
org.tensorflow.framework.TensorConnection.getDefaultInstance());
}
/**
*
* 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 addTensorConnectionBuilder(
int index) {
return getTensorConnectionFieldBuilder().addBuilder(
index, org.tensorflow.framework.TensorConnection.getDefaultInstance());
}
/**
*
* 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;
}
}