org.tensorflow.distruntime.RunStepRequest Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/master.proto
package org.tensorflow.distruntime;
/**
* Protobuf type {@code tensorflow.RunStepRequest}
*/
public final class RunStepRequest extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.RunStepRequest)
RunStepRequestOrBuilder {
private static final long serialVersionUID = 0L;
// Use RunStepRequest.newBuilder() to construct.
private RunStepRequest(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private RunStepRequest() {
sessionHandle_ = "";
feed_ = java.util.Collections.emptyList();
fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
partialRunHandle_ = "";
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return new RunStepRequest();
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private RunStepRequest(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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this();
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options_ = input.readMessage(org.tensorflow.framework.RunOptions.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(options_);
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public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_fieldAccessorTable
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org.tensorflow.distruntime.RunStepRequest.class, org.tensorflow.distruntime.RunStepRequest.Builder.class);
}
public static final int SESSION_HANDLE_FIELD_NUMBER = 1;
private volatile java.lang.Object sessionHandle_;
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @return The sessionHandle.
*/
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/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
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sessionHandle_ = b;
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return (org.nd4j.shade.protobuf.ByteString) ref;
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public static final int FEED_FIELD_NUMBER = 2;
private java.util.List feed_;
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
@java.lang.Override
public java.util.List getFeedList() {
return feed_;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
@java.lang.Override
public java.util.List
getFeedOrBuilderList() {
return feed_;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
@java.lang.Override
public int getFeedCount() {
return feed_.size();
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
@java.lang.Override
public org.tensorflow.framework.NamedTensorProto getFeed(int index) {
return feed_.get(index);
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
@java.lang.Override
public org.tensorflow.framework.NamedTensorProtoOrBuilder getFeedOrBuilder(
int index) {
return feed_.get(index);
}
public static final int FETCH_FIELD_NUMBER = 3;
private org.nd4j.shade.protobuf.LazyStringList fetch_;
/**
*
* Fetches. A list of tensor names. The caller 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 = 3;
* @return A list containing the fetch.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFetchList() {
return fetch_;
}
/**
*
* Fetches. A list of tensor names. The caller 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 = 3;
* @return The count of fetch.
*/
public int getFetchCount() {
return fetch_.size();
}
/**
*
* Fetches. A list of tensor names. The caller 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 = 3;
* @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 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 = 3;
* @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 = 4;
private org.nd4j.shade.protobuf.LazyStringList target_;
/**
*
* Target Nodes. A list of node names. The named nodes will be run
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @return The count of target.
*/
public int getTargetCount() {
return target_.size();
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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);
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public static final int OPTIONS_FIELD_NUMBER = 5;
private org.tensorflow.framework.RunOptions options_;
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
* @return Whether the options field is set.
*/
@java.lang.Override
public boolean hasOptions() {
return options_ != null;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
* @return The options.
*/
@java.lang.Override
public org.tensorflow.framework.RunOptions getOptions() {
return options_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
@java.lang.Override
public org.tensorflow.framework.RunOptionsOrBuilder getOptionsOrBuilder() {
return getOptions();
}
public static final int PARTIAL_RUN_HANDLE_FIELD_NUMBER = 6;
private volatile java.lang.Object partialRunHandle_;
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @return The partialRunHandle.
*/
@java.lang.Override
public java.lang.String getPartialRunHandle() {
java.lang.Object ref = partialRunHandle_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
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org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
partialRunHandle_ = s;
return s;
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}
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @return The bytes for partialRunHandle.
*/
@java.lang.Override
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partialRunHandle_ = b;
return b;
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return (org.nd4j.shade.protobuf.ByteString) ref;
}
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public static final int STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER = 7;
private boolean storeErrorsInResponseBody_;
/**
*
* If true then some errors, e.g., execution errors that have long
* error messages, may return an OK RunStepResponse with the actual
* error saved in the status_code/status_error_message fields of the
* response body. This is a workaround since the RPC subsystem may
* truncate long metadata messages.
*
*
* bool store_errors_in_response_body = 7;
* @return The storeErrorsInResponseBody.
*/
@java.lang.Override
public boolean getStoreErrorsInResponseBody() {
return storeErrorsInResponseBody_;
}
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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if (!org.nd4j.shade.protobuf.GeneratedMessageV3.isStringEmpty(sessionHandle_)) {
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if (options_ != null) {
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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.distruntime.RunStepRequest)) {
return super.equals(obj);
}
org.tensorflow.distruntime.RunStepRequest other = (org.tensorflow.distruntime.RunStepRequest) obj;
if (!getSessionHandle()
.equals(other.getSessionHandle())) return false;
if (!getFeedList()
.equals(other.getFeedList())) return false;
if (!getFetchList()
.equals(other.getFetchList())) return false;
if (!getTargetList()
.equals(other.getTargetList())) return false;
if (hasOptions() != other.hasOptions()) return false;
if (hasOptions()) {
if (!getOptions()
.equals(other.getOptions())) return false;
}
if (!getPartialRunHandle()
.equals(other.getPartialRunHandle())) return false;
if (getStoreErrorsInResponseBody()
!= other.getStoreErrorsInResponseBody()) 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();
hash = (37 * hash) + SESSION_HANDLE_FIELD_NUMBER;
hash = (53 * hash) + getSessionHandle().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();
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if (getTargetCount() > 0) {
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hash = (53 * hash) + getTargetList().hashCode();
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hash = (53 * hash) + getOptions().hashCode();
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hash = (37 * hash) + PARTIAL_RUN_HANDLE_FIELD_NUMBER;
hash = (53 * hash) + getPartialRunHandle().hashCode();
hash = (37 * hash) + STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER;
hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
getStoreErrorsInResponseBody());
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.distruntime.RunStepRequest parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.distruntime.RunStepRequest 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.distruntime.RunStepRequest parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.distruntime.RunStepRequest 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.distruntime.RunStepRequest parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.distruntime.RunStepRequest parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.distruntime.RunStepRequest parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.distruntime.RunStepRequest parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.tensorflow.distruntime.RunStepRequest parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.distruntime.RunStepRequest parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.tensorflow.distruntime.RunStepRequest parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.distruntime.RunStepRequest 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.distruntime.RunStepRequest 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;
}
/**
* Protobuf type {@code tensorflow.RunStepRequest}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.RunStepRequest)
org.tensorflow.distruntime.RunStepRequestOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_fieldAccessorTable
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org.tensorflow.distruntime.RunStepRequest.class, org.tensorflow.distruntime.RunStepRequest.Builder.class);
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// Construct using org.tensorflow.distruntime.RunStepRequest.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
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getFeedFieldBuilder();
}
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@java.lang.Override
public Builder clear() {
super.clear();
sessionHandle_ = "";
if (feedBuilder_ == null) {
feed_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
} else {
feedBuilder_.clear();
}
fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000002);
target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000004);
if (optionsBuilder_ == null) {
options_ = null;
} else {
options_ = null;
optionsBuilder_ = null;
}
partialRunHandle_ = "";
storeErrorsInResponseBody_ = false;
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_descriptor;
}
@java.lang.Override
public org.tensorflow.distruntime.RunStepRequest getDefaultInstanceForType() {
return org.tensorflow.distruntime.RunStepRequest.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.distruntime.RunStepRequest build() {
org.tensorflow.distruntime.RunStepRequest result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.distruntime.RunStepRequest buildPartial() {
org.tensorflow.distruntime.RunStepRequest result = new org.tensorflow.distruntime.RunStepRequest(this);
int from_bitField0_ = bitField0_;
result.sessionHandle_ = sessionHandle_;
if (feedBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)) {
feed_ = java.util.Collections.unmodifiableList(feed_);
bitField0_ = (bitField0_ & ~0x00000001);
}
result.feed_ = feed_;
} else {
result.feed_ = feedBuilder_.build();
}
if (((bitField0_ & 0x00000002) != 0)) {
fetch_ = fetch_.getUnmodifiableView();
bitField0_ = (bitField0_ & ~0x00000002);
}
result.fetch_ = fetch_;
if (((bitField0_ & 0x00000004) != 0)) {
target_ = target_.getUnmodifiableView();
bitField0_ = (bitField0_ & ~0x00000004);
}
result.target_ = target_;
if (optionsBuilder_ == null) {
result.options_ = options_;
} else {
result.options_ = optionsBuilder_.build();
}
result.partialRunHandle_ = partialRunHandle_;
result.storeErrorsInResponseBody_ = storeErrorsInResponseBody_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.distruntime.RunStepRequest) {
return mergeFrom((org.tensorflow.distruntime.RunStepRequest)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.distruntime.RunStepRequest other) {
if (other == org.tensorflow.distruntime.RunStepRequest.getDefaultInstance()) return this;
if (!other.getSessionHandle().isEmpty()) {
sessionHandle_ = other.sessionHandle_;
onChanged();
}
if (feedBuilder_ == null) {
if (!other.feed_.isEmpty()) {
if (feed_.isEmpty()) {
feed_ = other.feed_;
bitField0_ = (bitField0_ & ~0x00000001);
} else {
ensureFeedIsMutable();
feed_.addAll(other.feed_);
}
onChanged();
}
} else {
if (!other.feed_.isEmpty()) {
if (feedBuilder_.isEmpty()) {
feedBuilder_.dispose();
feedBuilder_ = null;
feed_ = other.feed_;
bitField0_ = (bitField0_ & ~0x00000001);
feedBuilder_ =
org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getFeedFieldBuilder() : null;
} else {
feedBuilder_.addAllMessages(other.feed_);
}
}
}
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.hasOptions()) {
mergeOptions(other.getOptions());
}
if (!other.getPartialRunHandle().isEmpty()) {
partialRunHandle_ = other.partialRunHandle_;
onChanged();
}
if (other.getStoreErrorsInResponseBody() != false) {
setStoreErrorsInResponseBody(other.getStoreErrorsInResponseBody());
}
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.distruntime.RunStepRequest parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.distruntime.RunStepRequest) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private java.lang.Object sessionHandle_ = "";
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @return The sessionHandle.
*/
public java.lang.String getSessionHandle() {
java.lang.Object ref = sessionHandle_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
sessionHandle_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @return The bytes for sessionHandle.
*/
public org.nd4j.shade.protobuf.ByteString
getSessionHandleBytes() {
java.lang.Object ref = sessionHandle_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
sessionHandle_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @param value The sessionHandle to set.
* @return This builder for chaining.
*/
public Builder setSessionHandle(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
sessionHandle_ = value;
onChanged();
return this;
}
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @return This builder for chaining.
*/
public Builder clearSessionHandle() {
sessionHandle_ = getDefaultInstance().getSessionHandle();
onChanged();
return this;
}
/**
*
* REQUIRED: session_handle must be returned by a CreateSession call
* to the same master service.
*
*
* string session_handle = 1;
* @param value The bytes for sessionHandle to set.
* @return This builder for chaining.
*/
public Builder setSessionHandleBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
sessionHandle_ = value;
onChanged();
return this;
}
private java.util.List feed_ =
java.util.Collections.emptyList();
private void ensureFeedIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
feed_ = new java.util.ArrayList(feed_);
bitField0_ |= 0x00000001;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder> feedBuilder_;
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public java.util.List getFeedList() {
if (feedBuilder_ == null) {
return java.util.Collections.unmodifiableList(feed_);
} else {
return feedBuilder_.getMessageList();
}
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public int getFeedCount() {
if (feedBuilder_ == null) {
return feed_.size();
} else {
return feedBuilder_.getCount();
}
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public org.tensorflow.framework.NamedTensorProto getFeed(int index) {
if (feedBuilder_ == null) {
return feed_.get(index);
} else {
return feedBuilder_.getMessage(index);
}
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder setFeed(
int index, org.tensorflow.framework.NamedTensorProto value) {
if (feedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureFeedIsMutable();
feed_.set(index, value);
onChanged();
} else {
feedBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder setFeed(
int index, org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
if (feedBuilder_ == null) {
ensureFeedIsMutable();
feed_.set(index, builderForValue.build());
onChanged();
} else {
feedBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder addFeed(org.tensorflow.framework.NamedTensorProto value) {
if (feedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureFeedIsMutable();
feed_.add(value);
onChanged();
} else {
feedBuilder_.addMessage(value);
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder addFeed(
int index, org.tensorflow.framework.NamedTensorProto value) {
if (feedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureFeedIsMutable();
feed_.add(index, value);
onChanged();
} else {
feedBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder addFeed(
org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
if (feedBuilder_ == null) {
ensureFeedIsMutable();
feed_.add(builderForValue.build());
onChanged();
} else {
feedBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder addFeed(
int index, org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
if (feedBuilder_ == null) {
ensureFeedIsMutable();
feed_.add(index, builderForValue.build());
onChanged();
} else {
feedBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder addAllFeed(
java.lang.Iterable values) {
if (feedBuilder_ == null) {
ensureFeedIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, feed_);
onChanged();
} else {
feedBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder clearFeed() {
if (feedBuilder_ == null) {
feed_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
feedBuilder_.clear();
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public Builder removeFeed(int index) {
if (feedBuilder_ == null) {
ensureFeedIsMutable();
feed_.remove(index);
onChanged();
} else {
feedBuilder_.remove(index);
}
return this;
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public org.tensorflow.framework.NamedTensorProto.Builder getFeedBuilder(
int index) {
return getFeedFieldBuilder().getBuilder(index);
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public org.tensorflow.framework.NamedTensorProtoOrBuilder getFeedOrBuilder(
int index) {
if (feedBuilder_ == null) {
return feed_.get(index); } else {
return feedBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public java.util.List
getFeedOrBuilderList() {
if (feedBuilder_ != null) {
return feedBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(feed_);
}
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public org.tensorflow.framework.NamedTensorProto.Builder addFeedBuilder() {
return getFeedFieldBuilder().addBuilder(
org.tensorflow.framework.NamedTensorProto.getDefaultInstance());
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public org.tensorflow.framework.NamedTensorProto.Builder addFeedBuilder(
int index) {
return getFeedFieldBuilder().addBuilder(
index, org.tensorflow.framework.NamedTensorProto.getDefaultInstance());
}
/**
*
* Tensors to be fed in the step. Each feed is a named tensor.
*
*
* repeated .tensorflow.NamedTensorProto feed = 2;
*/
public java.util.List
getFeedBuilderList() {
return getFeedFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder>
getFeedFieldBuilder() {
if (feedBuilder_ == null) {
feedBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder>(
feed_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
feed_ = null;
}
return feedBuilder_;
}
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 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 = 3;
* @return A list containing the fetch.
*/
public org.nd4j.shade.protobuf.ProtocolStringList
getFetchList() {
return fetch_.getUnmodifiableView();
}
/**
*
* Fetches. A list of tensor names. The caller 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 = 3;
* @return The count of fetch.
*/
public int getFetchCount() {
return fetch_.size();
}
/**
*
* Fetches. A list of tensor names. The caller 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 = 3;
* @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 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 = 3;
* @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 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 = 3;
* @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 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 = 3;
* @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 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 = 3;
* @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 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 = 3;
* @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 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 = 3;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @return The count of target.
*/
public int getTargetCount() {
return target_.size();
}
/**
*
* Target Nodes. A list of node names. The named nodes will be run
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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
* to but their outputs will not be fetched.
*
*
* repeated string target = 4;
* @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 options_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder> optionsBuilder_;
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
* @return Whether the options field is set.
*/
public boolean hasOptions() {
return optionsBuilder_ != null || options_ != null;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
* @return The options.
*/
public org.tensorflow.framework.RunOptions getOptions() {
if (optionsBuilder_ == null) {
return options_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
} else {
return optionsBuilder_.getMessage();
}
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public Builder setOptions(org.tensorflow.framework.RunOptions value) {
if (optionsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
options_ = value;
onChanged();
} else {
optionsBuilder_.setMessage(value);
}
return this;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public Builder setOptions(
org.tensorflow.framework.RunOptions.Builder builderForValue) {
if (optionsBuilder_ == null) {
options_ = builderForValue.build();
onChanged();
} else {
optionsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public Builder mergeOptions(org.tensorflow.framework.RunOptions value) {
if (optionsBuilder_ == null) {
if (options_ != null) {
options_ =
org.tensorflow.framework.RunOptions.newBuilder(options_).mergeFrom(value).buildPartial();
} else {
options_ = value;
}
onChanged();
} else {
optionsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public Builder clearOptions() {
if (optionsBuilder_ == null) {
options_ = null;
onChanged();
} else {
options_ = null;
optionsBuilder_ = null;
}
return this;
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public org.tensorflow.framework.RunOptions.Builder getOptionsBuilder() {
onChanged();
return getOptionsFieldBuilder().getBuilder();
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
public org.tensorflow.framework.RunOptionsOrBuilder getOptionsOrBuilder() {
if (optionsBuilder_ != null) {
return optionsBuilder_.getMessageOrBuilder();
} else {
return options_ == null ?
org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
}
}
/**
*
* Options for the run call.
*
*
* .tensorflow.RunOptions options = 5;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder>
getOptionsFieldBuilder() {
if (optionsBuilder_ == null) {
optionsBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder>(
getOptions(),
getParentForChildren(),
isClean());
options_ = null;
}
return optionsBuilder_;
}
private java.lang.Object partialRunHandle_ = "";
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @return The partialRunHandle.
*/
public java.lang.String getPartialRunHandle() {
java.lang.Object ref = partialRunHandle_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
partialRunHandle_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @return The bytes for partialRunHandle.
*/
public org.nd4j.shade.protobuf.ByteString
getPartialRunHandleBytes() {
java.lang.Object ref = partialRunHandle_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
partialRunHandle_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @param value The partialRunHandle to set.
* @return This builder for chaining.
*/
public Builder setPartialRunHandle(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
partialRunHandle_ = value;
onChanged();
return this;
}
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @return This builder for chaining.
*/
public Builder clearPartialRunHandle() {
partialRunHandle_ = getDefaultInstance().getPartialRunHandle();
onChanged();
return this;
}
/**
*
* Partial run handle (optional). If specified, this will be a partial run
* execution, run up to the specified fetches.
*
*
* string partial_run_handle = 6;
* @param value The bytes for partialRunHandle to set.
* @return This builder for chaining.
*/
public Builder setPartialRunHandleBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
partialRunHandle_ = value;
onChanged();
return this;
}
private boolean storeErrorsInResponseBody_ ;
/**
*
* If true then some errors, e.g., execution errors that have long
* error messages, may return an OK RunStepResponse with the actual
* error saved in the status_code/status_error_message fields of the
* response body. This is a workaround since the RPC subsystem may
* truncate long metadata messages.
*
*
* bool store_errors_in_response_body = 7;
* @return The storeErrorsInResponseBody.
*/
@java.lang.Override
public boolean getStoreErrorsInResponseBody() {
return storeErrorsInResponseBody_;
}
/**
*
* If true then some errors, e.g., execution errors that have long
* error messages, may return an OK RunStepResponse with the actual
* error saved in the status_code/status_error_message fields of the
* response body. This is a workaround since the RPC subsystem may
* truncate long metadata messages.
*
*
* bool store_errors_in_response_body = 7;
* @param value The storeErrorsInResponseBody to set.
* @return This builder for chaining.
*/
public Builder setStoreErrorsInResponseBody(boolean value) {
storeErrorsInResponseBody_ = value;
onChanged();
return this;
}
/**
*
* If true then some errors, e.g., execution errors that have long
* error messages, may return an OK RunStepResponse with the actual
* error saved in the status_code/status_error_message fields of the
* response body. This is a workaround since the RPC subsystem may
* truncate long metadata messages.
*
*
* bool store_errors_in_response_body = 7;
* @return This builder for chaining.
*/
public Builder clearStoreErrorsInResponseBody() {
storeErrorsInResponseBody_ = false;
onChanged();
return this;
}
@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.RunStepRequest)
}
// @@protoc_insertion_point(class_scope:tensorflow.RunStepRequest)
private static final org.tensorflow.distruntime.RunStepRequest DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.distruntime.RunStepRequest();
}
public static org.tensorflow.distruntime.RunStepRequest getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public RunStepRequest parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new RunStepRequest(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.distruntime.RunStepRequest getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}