org.tensorflow.metadata.v0.DynamicClassSpec Maven / Gradle / Ivy
The newest version!
// 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;
/**
*
* Specifies a dynamic multiclass/multi-label problem where the number of label
* classes is inferred from the data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.DynamicClassSpec}
*/
public final class DynamicClassSpec extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.DynamicClassSpec)
DynamicClassSpecOrBuilder {
private static final long serialVersionUID = 0L;
// Use DynamicClassSpec.newBuilder() to construct.
private DynamicClassSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private DynamicClassSpec() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new DynamicClassSpec();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.DynamicClassSpec.class, org.tensorflow.metadata.v0.DynamicClassSpec.Builder.class);
}
public interface OovClassSpecOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)
com.google.protobuf.MessageOrBuilder {
/**
*
* If set, labels are grouped into the "OOV" class if they occur less than
* frequency_threshold times in the training dataset. If 0, labels
* that appear in test / validation splits but not in training would be
* still classified as the "OOV" class.
*
*
* int64 frequency_threshold = 1;
* @return The frequencyThreshold.
*/
long getFrequencyThreshold();
/**
*
* If set, only the top_k labels in the training set are used and all others
* are grouped into an "OOV" class.
*
*
* int64 top_k = 2;
* @return The topK.
*/
long getTopK();
}
/**
*
* Note: it is up to a solution provider to implement support for OOV labels.
* Note: both a frequency_threshold and a top_k may be set. A class is grouped
* into the OOV class if it fails to meet either of the criteria below.
*
*
* Protobuf type {@code tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec}
*/
public static final class OovClassSpec extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)
OovClassSpecOrBuilder {
private static final long serialVersionUID = 0L;
// Use OovClassSpec.newBuilder() to construct.
private OovClassSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private OovClassSpec() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new OovClassSpec();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_OovClassSpec_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_OovClassSpec_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.class, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder.class);
}
public static final int FREQUENCY_THRESHOLD_FIELD_NUMBER = 1;
private long frequencyThreshold_ = 0L;
/**
*
* If set, labels are grouped into the "OOV" class if they occur less than
* frequency_threshold times in the training dataset. If 0, labels
* that appear in test / validation splits but not in training would be
* still classified as the "OOV" class.
*
*
* int64 frequency_threshold = 1;
* @return The frequencyThreshold.
*/
@java.lang.Override
public long getFrequencyThreshold() {
return frequencyThreshold_;
}
public static final int TOP_K_FIELD_NUMBER = 2;
private long topK_ = 0L;
/**
*
* If set, only the top_k labels in the training set are used and all others
* are grouped into an "OOV" class.
*
*
* int64 top_k = 2;
* @return The topK.
*/
@java.lang.Override
public long getTopK() {
return topK_;
}
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(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (frequencyThreshold_ != 0L) {
output.writeInt64(1, frequencyThreshold_);
}
if (topK_ != 0L) {
output.writeInt64(2, topK_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (frequencyThreshold_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeInt64Size(1, frequencyThreshold_);
}
if (topK_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeInt64Size(2, topK_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec other = (org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec) obj;
if (getFrequencyThreshold()
!= other.getFrequencyThreshold()) return false;
if (getTopK()
!= other.getTopK()) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) 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) + FREQUENCY_THRESHOLD_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getFrequencyThreshold());
hash = (37 * hash) + TOP_K_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getTopK());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.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.metadata.v0.DynamicClassSpec.OovClassSpec 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(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Note: it is up to a solution provider to implement support for OOV labels.
* Note: both a frequency_threshold and a top_k may be set. A class is grouped
* into the OOV class if it fails to meet either of the criteria below.
*
*
* Protobuf type {@code tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_OovClassSpec_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_OovClassSpec_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.class, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
frequencyThreshold_ = 0L;
topK_ = 0L;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_OovClassSpec_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec build() {
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec buildPartial() {
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec result = new org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec(this);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartial0(org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.frequencyThreshold_ = frequencyThreshold_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.topK_ = topK_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec) {
return mergeFrom((org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec other) {
if (other == org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance()) return this;
if (other.getFrequencyThreshold() != 0L) {
setFrequencyThreshold(other.getFrequencyThreshold());
}
if (other.getTopK() != 0L) {
setTopK(other.getTopK());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8: {
frequencyThreshold_ = input.readInt64();
bitField0_ |= 0x00000001;
break;
} // case 8
case 16: {
topK_ = input.readInt64();
bitField0_ |= 0x00000002;
break;
} // case 16
default: {
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private long frequencyThreshold_ ;
/**
*
* If set, labels are grouped into the "OOV" class if they occur less than
* frequency_threshold times in the training dataset. If 0, labels
* that appear in test / validation splits but not in training would be
* still classified as the "OOV" class.
*
*
* int64 frequency_threshold = 1;
* @return The frequencyThreshold.
*/
@java.lang.Override
public long getFrequencyThreshold() {
return frequencyThreshold_;
}
/**
*
* If set, labels are grouped into the "OOV" class if they occur less than
* frequency_threshold times in the training dataset. If 0, labels
* that appear in test / validation splits but not in training would be
* still classified as the "OOV" class.
*
*
* int64 frequency_threshold = 1;
* @param value The frequencyThreshold to set.
* @return This builder for chaining.
*/
public Builder setFrequencyThreshold(long value) {
frequencyThreshold_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* If set, labels are grouped into the "OOV" class if they occur less than
* frequency_threshold times in the training dataset. If 0, labels
* that appear in test / validation splits but not in training would be
* still classified as the "OOV" class.
*
*
* int64 frequency_threshold = 1;
* @return This builder for chaining.
*/
public Builder clearFrequencyThreshold() {
bitField0_ = (bitField0_ & ~0x00000001);
frequencyThreshold_ = 0L;
onChanged();
return this;
}
private long topK_ ;
/**
*
* If set, only the top_k labels in the training set are used and all others
* are grouped into an "OOV" class.
*
*
* int64 top_k = 2;
* @return The topK.
*/
@java.lang.Override
public long getTopK() {
return topK_;
}
/**
*
* If set, only the top_k labels in the training set are used and all others
* are grouped into an "OOV" class.
*
*
* int64 top_k = 2;
* @param value The topK to set.
* @return This builder for chaining.
*/
public Builder setTopK(long value) {
topK_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* If set, only the top_k labels in the training set are used and all others
* are grouped into an "OOV" class.
*
*
* int64 top_k = 2;
* @return This builder for chaining.
*/
public Builder clearTopK() {
bitField0_ = (bitField0_ & ~0x00000002);
topK_ = 0L;
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.DynamicClassSpec.OovClassSpec)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec)
private static final org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec();
}
public static org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public OovClassSpec 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.DynamicClassSpec.OovClassSpec getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int bitField0_;
public static final int OOV_CLASS_SPEC_FIELD_NUMBER = 1;
private org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oovClassSpec_;
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
* @return Whether the oovClassSpec field is set.
*/
@java.lang.Override
public boolean hasOovClassSpec() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
* @return The oovClassSpec.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec getOovClassSpec() {
return oovClassSpec_ == null ? org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance() : oovClassSpec_;
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder getOovClassSpecOrBuilder() {
return oovClassSpec_ == null ? org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance() : oovClassSpec_;
}
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(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(1, getOovClassSpec());
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (((bitField0_ & 0x00000001) != 0)) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(1, getOovClassSpec());
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.metadata.v0.DynamicClassSpec)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.DynamicClassSpec other = (org.tensorflow.metadata.v0.DynamicClassSpec) obj;
if (hasOovClassSpec() != other.hasOovClassSpec()) return false;
if (hasOovClassSpec()) {
if (!getOovClassSpec()
.equals(other.getOovClassSpec())) return false;
}
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (hasOovClassSpec()) {
hash = (37 * hash) + OOV_CLASS_SPEC_FIELD_NUMBER;
hash = (53 * hash) + getOovClassSpec().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.DynamicClassSpec parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.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.metadata.v0.DynamicClassSpec 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(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Specifies a dynamic multiclass/multi-label problem where the number of label
* classes is inferred from the data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.DynamicClassSpec}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.DynamicClassSpec)
org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.DynamicClassSpec.class, org.tensorflow.metadata.v0.DynamicClassSpec.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.DynamicClassSpec.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
getOovClassSpecFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
oovClassSpec_ = null;
if (oovClassSpecBuilder_ != null) {
oovClassSpecBuilder_.dispose();
oovClassSpecBuilder_ = null;
}
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_DynamicClassSpec_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec build() {
org.tensorflow.metadata.v0.DynamicClassSpec result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec buildPartial() {
org.tensorflow.metadata.v0.DynamicClassSpec result = new org.tensorflow.metadata.v0.DynamicClassSpec(this);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartial0(org.tensorflow.metadata.v0.DynamicClassSpec result) {
int from_bitField0_ = bitField0_;
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.oovClassSpec_ = oovClassSpecBuilder_ == null
? oovClassSpec_
: oovClassSpecBuilder_.build();
to_bitField0_ |= 0x00000001;
}
result.bitField0_ |= to_bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof org.tensorflow.metadata.v0.DynamicClassSpec) {
return mergeFrom((org.tensorflow.metadata.v0.DynamicClassSpec)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.DynamicClassSpec other) {
if (other == org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance()) return this;
if (other.hasOovClassSpec()) {
mergeOovClassSpec(other.getOovClassSpec());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
input.readMessage(
getOovClassSpecFieldBuilder().getBuilder(),
extensionRegistry);
bitField0_ |= 0x00000001;
break;
} // case 10
default: {
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oovClassSpec_;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder> oovClassSpecBuilder_;
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
* @return Whether the oovClassSpec field is set.
*/
public boolean hasOovClassSpec() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
* @return The oovClassSpec.
*/
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec getOovClassSpec() {
if (oovClassSpecBuilder_ == null) {
return oovClassSpec_ == null ? org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance() : oovClassSpec_;
} else {
return oovClassSpecBuilder_.getMessage();
}
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public Builder setOovClassSpec(org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec value) {
if (oovClassSpecBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
oovClassSpec_ = value;
} else {
oovClassSpecBuilder_.setMessage(value);
}
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public Builder setOovClassSpec(
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder builderForValue) {
if (oovClassSpecBuilder_ == null) {
oovClassSpec_ = builderForValue.build();
} else {
oovClassSpecBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public Builder mergeOovClassSpec(org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec value) {
if (oovClassSpecBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0) &&
oovClassSpec_ != null &&
oovClassSpec_ != org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance()) {
getOovClassSpecBuilder().mergeFrom(value);
} else {
oovClassSpec_ = value;
}
} else {
oovClassSpecBuilder_.mergeFrom(value);
}
if (oovClassSpec_ != null) {
bitField0_ |= 0x00000001;
onChanged();
}
return this;
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public Builder clearOovClassSpec() {
bitField0_ = (bitField0_ & ~0x00000001);
oovClassSpec_ = null;
if (oovClassSpecBuilder_ != null) {
oovClassSpecBuilder_.dispose();
oovClassSpecBuilder_ = null;
}
onChanged();
return this;
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder getOovClassSpecBuilder() {
bitField0_ |= 0x00000001;
onChanged();
return getOovClassSpecFieldBuilder().getBuilder();
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
public org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder getOovClassSpecOrBuilder() {
if (oovClassSpecBuilder_ != null) {
return oovClassSpecBuilder_.getMessageOrBuilder();
} else {
return oovClassSpec_ == null ?
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.getDefaultInstance() : oovClassSpec_;
}
}
/**
*
* Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
* populated based on frequencies in the training set. If no OOV class is
* specified, the model's label vocabulary should consist of all labels that
* appear in the training set.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder>
getOovClassSpecFieldBuilder() {
if (oovClassSpecBuilder_ == null) {
oovClassSpecBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpec.OovClassSpecOrBuilder>(
getOovClassSpec(),
getParentForChildren(),
isClean());
oovClassSpec_ = null;
}
return oovClassSpecBuilder_;
}
@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.DynamicClassSpec)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.DynamicClassSpec)
private static final org.tensorflow.metadata.v0.DynamicClassSpec DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.DynamicClassSpec();
}
public static org.tensorflow.metadata.v0.DynamicClassSpec getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public DynamicClassSpec 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.DynamicClassSpec getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy