org.tensorflow.metadata.v0.Task Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/problem_statement.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* Describes a single task in a model and all its properties.
* A task corresponds to a single output of the model.
* Multiple tasks in the same problem statement correspond to different outputs
* of the model.
*
*
* Protobuf type {@code tensorflow.metadata.v0.Task}
*/
public final class Task extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.Task)
TaskOrBuilder {
private static final long serialVersionUID = 0L;
// Use Task.newBuilder() to construct.
private Task(com.google.protobuf.GeneratedMessageV3.Builder builder) {
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private Task() {
name_ = "";
performanceMetric_ = java.util.Collections.emptyList();
}
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@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
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/**
*
* Specification of the label and weight columns, and the type of the
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*
*
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/**
*
* Specification of the label and weight columns, and the type of the
* prediction or classification.
*
*
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/**
*
* Specification of the label and weight columns, and the type of the
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*
*
* .tensorflow.metadata.v0.Type type = 1;
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@SuppressWarnings("serial")
private volatile java.lang.Object name_ = "";
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @return The name.
*/
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/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
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*/
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public static final int TASK_WEIGHT_FIELD_NUMBER = 2;
private double taskWeight_ = 0D;
/**
*
* If a Problem is composed of mulitple sub-tasks, the weight of each task
* determines the importance of solving each sub-task. It is used to
* rank and select the best solution for multi-task problems.
* Not meaningful for a problem with one task.
* If the problem has multiple tasks and all task_weight=0 (unset) then all
* tasks are weighted equally.
*
*
* double task_weight = 2 [deprecated = true];
* @deprecated tensorflow.metadata.v0.Task.task_weight is deprecated.
* See tensorflow_metadata/proto/v0/problem_statement.proto;l=259
* @return The taskWeight.
*/
@java.lang.Override
@java.lang.Deprecated public double getTaskWeight() {
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}
public static final int PERFORMANCE_METRIC_FIELD_NUMBER = 4;
@SuppressWarnings("serial")
private java.util.List performanceMetric_;
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
@java.lang.Override
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}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
@java.lang.Override
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/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
@java.lang.Override
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}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
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/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
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private boolean isAuxiliary_ = false;
/**
*
* True to indicate the task is an auxiliary task in a multi-task setting.
* Auxiliary tasks are of minor relevance for the application and they are
* added only to improve the performance on a primary task (by providing
* additional regularization or data augmentation), and thus are not
* considered in the meta optimization process (but may be utilized in the
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*
*
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/**
*
* Describes a single task in a model and all its properties.
* A task corresponds to a single output of the model.
* Multiple tasks in the same problem statement correspond to different outputs
* of the model.
*
*
* Protobuf type {@code tensorflow.metadata.v0.Task}
*/
public static final class Builder extends
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// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.Task)
org.tensorflow.metadata.v0.TaskOrBuilder {
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if (((bitField0_ & 0x00000001) != 0) &&
type_ != null &&
type_ != org.tensorflow.metadata.v0.Type.getDefaultInstance()) {
getTypeBuilder().mergeFrom(value);
} else {
type_ = value;
}
} else {
typeBuilder_.mergeFrom(value);
}
if (type_ != null) {
bitField0_ |= 0x00000001;
onChanged();
}
return this;
}
/**
*
* Specification of the label and weight columns, and the type of the
* prediction or classification.
*
*
* .tensorflow.metadata.v0.Type type = 1;
*/
public Builder clearType() {
bitField0_ = (bitField0_ & ~0x00000001);
type_ = null;
if (typeBuilder_ != null) {
typeBuilder_.dispose();
typeBuilder_ = null;
}
onChanged();
return this;
}
/**
*
* Specification of the label and weight columns, and the type of the
* prediction or classification.
*
*
* .tensorflow.metadata.v0.Type type = 1;
*/
public org.tensorflow.metadata.v0.Type.Builder getTypeBuilder() {
bitField0_ |= 0x00000001;
onChanged();
return getTypeFieldBuilder().getBuilder();
}
/**
*
* Specification of the label and weight columns, and the type of the
* prediction or classification.
*
*
* .tensorflow.metadata.v0.Type type = 1;
*/
public org.tensorflow.metadata.v0.TypeOrBuilder getTypeOrBuilder() {
if (typeBuilder_ != null) {
return typeBuilder_.getMessageOrBuilder();
} else {
return type_ == null ?
org.tensorflow.metadata.v0.Type.getDefaultInstance() : type_;
}
}
/**
*
* Specification of the label and weight columns, and the type of the
* prediction or classification.
*
*
* .tensorflow.metadata.v0.Type type = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Type, org.tensorflow.metadata.v0.Type.Builder, org.tensorflow.metadata.v0.TypeOrBuilder>
getTypeFieldBuilder() {
if (typeBuilder_ == null) {
typeBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Type, org.tensorflow.metadata.v0.Type.Builder, org.tensorflow.metadata.v0.TypeOrBuilder>(
getType(),
getParentForChildren(),
isClean());
type_ = null;
}
return typeBuilder_;
}
private java.lang.Object name_ = "";
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @return The name.
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @return The bytes for name.
*/
public com.google.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(
java.lang.String value) {
if (value == null) { throw new NullPointerException(); }
name_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
return this;
}
/**
*
* The task name. Tasks within the same ProblemStatement should have unique
* names. This a REQUIRED field in case of multi-task learning problems.
*
*
* string name = 5;
* @param value The bytes for name to set.
* @return This builder for chaining.
*/
public Builder setNameBytes(
com.google.protobuf.ByteString value) {
if (value == null) { throw new NullPointerException(); }
checkByteStringIsUtf8(value);
name_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
private double taskWeight_ ;
/**
*
* If a Problem is composed of mulitple sub-tasks, the weight of each task
* determines the importance of solving each sub-task. It is used to
* rank and select the best solution for multi-task problems.
* Not meaningful for a problem with one task.
* If the problem has multiple tasks and all task_weight=0 (unset) then all
* tasks are weighted equally.
*
*
* double task_weight = 2 [deprecated = true];
* @deprecated tensorflow.metadata.v0.Task.task_weight is deprecated.
* See tensorflow_metadata/proto/v0/problem_statement.proto;l=259
* @return The taskWeight.
*/
@java.lang.Override
@java.lang.Deprecated public double getTaskWeight() {
return taskWeight_;
}
/**
*
* If a Problem is composed of mulitple sub-tasks, the weight of each task
* determines the importance of solving each sub-task. It is used to
* rank and select the best solution for multi-task problems.
* Not meaningful for a problem with one task.
* If the problem has multiple tasks and all task_weight=0 (unset) then all
* tasks are weighted equally.
*
*
* double task_weight = 2 [deprecated = true];
* @deprecated tensorflow.metadata.v0.Task.task_weight is deprecated.
* See tensorflow_metadata/proto/v0/problem_statement.proto;l=259
* @param value The taskWeight to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder setTaskWeight(double value) {
taskWeight_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* If a Problem is composed of mulitple sub-tasks, the weight of each task
* determines the importance of solving each sub-task. It is used to
* rank and select the best solution for multi-task problems.
* Not meaningful for a problem with one task.
* If the problem has multiple tasks and all task_weight=0 (unset) then all
* tasks are weighted equally.
*
*
* double task_weight = 2 [deprecated = true];
* @deprecated tensorflow.metadata.v0.Task.task_weight is deprecated.
* See tensorflow_metadata/proto/v0/problem_statement.proto;l=259
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder clearTaskWeight() {
bitField0_ = (bitField0_ & ~0x00000004);
taskWeight_ = 0D;
onChanged();
return this;
}
private java.util.List performanceMetric_ =
java.util.Collections.emptyList();
private void ensurePerformanceMetricIsMutable() {
if (!((bitField0_ & 0x00000008) != 0)) {
performanceMetric_ = new java.util.ArrayList(performanceMetric_);
bitField0_ |= 0x00000008;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PerformanceMetric, org.tensorflow.metadata.v0.PerformanceMetric.Builder, org.tensorflow.metadata.v0.PerformanceMetricOrBuilder> performanceMetricBuilder_;
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public java.util.List getPerformanceMetricList() {
if (performanceMetricBuilder_ == null) {
return java.util.Collections.unmodifiableList(performanceMetric_);
} else {
return performanceMetricBuilder_.getMessageList();
}
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public int getPerformanceMetricCount() {
if (performanceMetricBuilder_ == null) {
return performanceMetric_.size();
} else {
return performanceMetricBuilder_.getCount();
}
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public org.tensorflow.metadata.v0.PerformanceMetric getPerformanceMetric(int index) {
if (performanceMetricBuilder_ == null) {
return performanceMetric_.get(index);
} else {
return performanceMetricBuilder_.getMessage(index);
}
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder setPerformanceMetric(
int index, org.tensorflow.metadata.v0.PerformanceMetric value) {
if (performanceMetricBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePerformanceMetricIsMutable();
performanceMetric_.set(index, value);
onChanged();
} else {
performanceMetricBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder setPerformanceMetric(
int index, org.tensorflow.metadata.v0.PerformanceMetric.Builder builderForValue) {
if (performanceMetricBuilder_ == null) {
ensurePerformanceMetricIsMutable();
performanceMetric_.set(index, builderForValue.build());
onChanged();
} else {
performanceMetricBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder addPerformanceMetric(org.tensorflow.metadata.v0.PerformanceMetric value) {
if (performanceMetricBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePerformanceMetricIsMutable();
performanceMetric_.add(value);
onChanged();
} else {
performanceMetricBuilder_.addMessage(value);
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder addPerformanceMetric(
int index, org.tensorflow.metadata.v0.PerformanceMetric value) {
if (performanceMetricBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePerformanceMetricIsMutable();
performanceMetric_.add(index, value);
onChanged();
} else {
performanceMetricBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder addPerformanceMetric(
org.tensorflow.metadata.v0.PerformanceMetric.Builder builderForValue) {
if (performanceMetricBuilder_ == null) {
ensurePerformanceMetricIsMutable();
performanceMetric_.add(builderForValue.build());
onChanged();
} else {
performanceMetricBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder addPerformanceMetric(
int index, org.tensorflow.metadata.v0.PerformanceMetric.Builder builderForValue) {
if (performanceMetricBuilder_ == null) {
ensurePerformanceMetricIsMutable();
performanceMetric_.add(index, builderForValue.build());
onChanged();
} else {
performanceMetricBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder addAllPerformanceMetric(
java.lang.Iterable values) {
if (performanceMetricBuilder_ == null) {
ensurePerformanceMetricIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, performanceMetric_);
onChanged();
} else {
performanceMetricBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder clearPerformanceMetric() {
if (performanceMetricBuilder_ == null) {
performanceMetric_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
} else {
performanceMetricBuilder_.clear();
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public Builder removePerformanceMetric(int index) {
if (performanceMetricBuilder_ == null) {
ensurePerformanceMetricIsMutable();
performanceMetric_.remove(index);
onChanged();
} else {
performanceMetricBuilder_.remove(index);
}
return this;
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public org.tensorflow.metadata.v0.PerformanceMetric.Builder getPerformanceMetricBuilder(
int index) {
return getPerformanceMetricFieldBuilder().getBuilder(index);
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public org.tensorflow.metadata.v0.PerformanceMetricOrBuilder getPerformanceMetricOrBuilder(
int index) {
if (performanceMetricBuilder_ == null) {
return performanceMetric_.get(index); } else {
return performanceMetricBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public java.util.List
getPerformanceMetricOrBuilderList() {
if (performanceMetricBuilder_ != null) {
return performanceMetricBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(performanceMetric_);
}
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public org.tensorflow.metadata.v0.PerformanceMetric.Builder addPerformanceMetricBuilder() {
return getPerformanceMetricFieldBuilder().addBuilder(
org.tensorflow.metadata.v0.PerformanceMetric.getDefaultInstance());
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public org.tensorflow.metadata.v0.PerformanceMetric.Builder addPerformanceMetricBuilder(
int index) {
return getPerformanceMetricFieldBuilder().addBuilder(
index, org.tensorflow.metadata.v0.PerformanceMetric.getDefaultInstance());
}
/**
*
* This field includes performance metrics of this head that are important to
* the problem owner and need to be monitored and reported. However, unlike
* fields such as "meta_optimization_target", these metrics are not
* not automatically used in meta-optimization.
*
*
* repeated .tensorflow.metadata.v0.PerformanceMetric performance_metric = 4;
*/
public java.util.List
getPerformanceMetricBuilderList() {
return getPerformanceMetricFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PerformanceMetric, org.tensorflow.metadata.v0.PerformanceMetric.Builder, org.tensorflow.metadata.v0.PerformanceMetricOrBuilder>
getPerformanceMetricFieldBuilder() {
if (performanceMetricBuilder_ == null) {
performanceMetricBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PerformanceMetric, org.tensorflow.metadata.v0.PerformanceMetric.Builder, org.tensorflow.metadata.v0.PerformanceMetricOrBuilder>(
performanceMetric_,
((bitField0_ & 0x00000008) != 0),
getParentForChildren(),
isClean());
performanceMetric_ = null;
}
return performanceMetricBuilder_;
}
private boolean isAuxiliary_ ;
/**
*
* True to indicate the task is an auxiliary task in a multi-task setting.
* Auxiliary tasks are of minor relevance for the application and they are
* added only to improve the performance on a primary task (by providing
* additional regularization or data augmentation), and thus are not
* considered in the meta optimization process (but may be utilized in the
* learner optimization).
*
*
* bool is_auxiliary = 6;
* @return The isAuxiliary.
*/
@java.lang.Override
public boolean getIsAuxiliary() {
return isAuxiliary_;
}
/**
*
* True to indicate the task is an auxiliary task in a multi-task setting.
* Auxiliary tasks are of minor relevance for the application and they are
* added only to improve the performance on a primary task (by providing
* additional regularization or data augmentation), and thus are not
* considered in the meta optimization process (but may be utilized in the
* learner optimization).
*
*
* bool is_auxiliary = 6;
* @param value The isAuxiliary to set.
* @return This builder for chaining.
*/
public Builder setIsAuxiliary(boolean value) {
isAuxiliary_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
* True to indicate the task is an auxiliary task in a multi-task setting.
* Auxiliary tasks are of minor relevance for the application and they are
* added only to improve the performance on a primary task (by providing
* additional regularization or data augmentation), and thus are not
* considered in the meta optimization process (but may be utilized in the
* learner optimization).
*
*
* bool is_auxiliary = 6;
* @return This builder for chaining.
*/
public Builder clearIsAuxiliary() {
bitField0_ = (bitField0_ & ~0x00000010);
isAuxiliary_ = false;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.Task)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.Task)
private static final org.tensorflow.metadata.v0.Task DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.Task();
}
public static org.tensorflow.metadata.v0.Task getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public Task parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.metadata.v0.Task getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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