org.tensorflow.util.TensorBundleProtos Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/tensor_bundle.proto
package org.tensorflow.util;
public final class TensorBundleProtos {
private TensorBundleProtos() {}
public static void registerAllExtensions(
org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
org.nd4j.shade.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
}
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_BundleHeaderProto_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_BundleHeaderProto_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_BundleEntryProto_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_BundleEntryProto_fieldAccessorTable;
public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
getDescriptor() {
return descriptor;
}
private static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
descriptor;
static {
java.lang.String[] descriptorData = {
"\n,tensorflow/core/protobuf/tensor_bundle" +
".proto\022\ntensorflow\032,tensorflow/core/fram" +
"ework/tensor_shape.proto\032,tensorflow/cor" +
"e/framework/tensor_slice.proto\032%tensorfl" +
"ow/core/framework/types.proto\032(tensorflo" +
"w/core/framework/versions.proto\"\261\001\n\021Bund" +
"leHeaderProto\022\022\n\nnum_shards\030\001 \001(\005\022<\n\nend" +
"ianness\030\002 \001(\0162(.tensorflow.BundleHeaderP" +
"roto.Endianness\022\'\n\007version\030\003 \001(\0132\026.tenso" +
"rflow.VersionDef\"!\n\nEndianness\022\n\n\006LITTLE" +
"\020\000\022\007\n\003BIG\020\001\"\322\001\n\020BundleEntryProto\022#\n\005dtyp" +
"e\030\001 \001(\0162\024.tensorflow.DataType\022+\n\005shape\030\002" +
" \001(\0132\034.tensorflow.TensorShapeProto\022\020\n\010sh" +
"ard_id\030\003 \001(\005\022\016\n\006offset\030\004 \001(\003\022\014\n\004size\030\005 \001" +
"(\003\022\016\n\006crc32c\030\006 \001(\007\022,\n\006slices\030\007 \003(\0132\034.ten" +
"sorflow.TensorSliceProtoBl\n\023org.tensorfl" +
"ow.utilB\022TensorBundleProtosP\001Z