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org.tensorflow.framework.SummaryDescription Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/summary.proto
package org.tensorflow.framework;
/**
*
* Metadata associated with a series of Summary data
*
*
* Protobuf type {@code tensorflow.SummaryDescription}
*/
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// @@protoc_insertion_point(message_implements:tensorflow.SummaryDescription)
SummaryDescriptionOrBuilder {
private static final long serialVersionUID = 0L;
// Use SummaryDescription.newBuilder() to construct.
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org.nd4j.shade.protobuf.ByteString data)
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public static org.tensorflow.framework.SummaryDescription parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.SummaryDescription parseFrom(byte[] data)
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return PARSER.parseFrom(data);
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public static org.tensorflow.framework.SummaryDescription parseFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.SummaryDescription parseFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.SummaryDescription parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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Builder builder = new Builder(parent);
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/**
*
* Metadata associated with a series of Summary data
*
*
* Protobuf type {@code tensorflow.SummaryDescription}
*/
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org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.SummaryDescription)
org.tensorflow.framework.SummaryDescriptionOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.SummaryProtos.internal_static_tensorflow_SummaryDescription_descriptor;
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/**
*
* Hint on how plugins should process the data in this series.
* Supported values include "scalar", "histogram", "image", "audio"
*
*
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/**
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/**
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*
*
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java.lang.String value) {
if (value == null) {
throw new NullPointerException();
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typeHint_ = value;
onChanged();
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/**
*
* Hint on how plugins should process the data in this series.
* Supported values include "scalar", "histogram", "image", "audio"
*
*
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onChanged();
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/**
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// @@protoc_insertion_point(builder_scope:tensorflow.SummaryDescription)
}
// @@protoc_insertion_point(class_scope:tensorflow.SummaryDescription)
private static final org.tensorflow.framework.SummaryDescription DEFAULT_INSTANCE;
static {
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}
public static org.tensorflow.framework.SummaryDescription getDefaultInstance() {
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}
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org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new SummaryDescription(input, extensionRegistry);
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};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
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return PARSER;
}
@java.lang.Override
public org.tensorflow.framework.SummaryDescription getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
