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org.tensorflow.framework.MemoryLogRawAllocation Maven / Gradle / Ivy
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package org.tensorflow.framework;
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allocatorName_ = value;
onChanged();
return this;
}
public final Builder setUnknownFields(
final com.github.os72.protobuf351.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
public final Builder mergeUnknownFields(
final com.github.os72.protobuf351.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.MemoryLogRawAllocation)
}
// @@protoc_insertion_point(class_scope:tensorflow.MemoryLogRawAllocation)
private static final org.tensorflow.framework.MemoryLogRawAllocation DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.MemoryLogRawAllocation();
}
public static org.tensorflow.framework.MemoryLogRawAllocation getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.github.os72.protobuf351.Parser
PARSER = new com.github.os72.protobuf351.AbstractParser() {
public MemoryLogRawAllocation parsePartialFrom(
com.github.os72.protobuf351.CodedInputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return new MemoryLogRawAllocation(input, extensionRegistry);
}
};
public static com.github.os72.protobuf351.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.github.os72.protobuf351.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.MemoryLogRawAllocation getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
