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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/tensor_bundle.proto
package org.tensorflow.util;
/**
*
* Special header that is associated with a bundle.
* TODO(zongheng,zhifengc): maybe in the future, we can add information about
* which binary produced this checkpoint, timestamp, etc. Sometime, these can be
* valuable debugging information. And if needed, these can be used as defensive
* information ensuring reader (binary version) of the checkpoint and the writer
* (binary version) must match within certain range, etc.
*
*
* Protobuf type {@code tensorflow.BundleHeaderProto}
*/
public final class BundleHeaderProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.BundleHeaderProto)
BundleHeaderProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use BundleHeaderProto.newBuilder() to construct.
private BundleHeaderProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private BundleHeaderProto() {
endianness_ = 0;
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new BundleHeaderProto();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private BundleHeaderProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
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endianness_ = rawValue;
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org.tensorflow.framework.VersionDef.Builder subBuilder = null;
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version_ = input.readMessage(org.tensorflow.framework.VersionDef.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(version_);
version_ = subBuilder.buildPartial();
}
break;
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default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
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break;
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}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.util.TensorBundleProtos.internal_static_tensorflow_BundleHeaderProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.util.TensorBundleProtos.internal_static_tensorflow_BundleHeaderProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.util.BundleHeaderProto.class, org.tensorflow.util.BundleHeaderProto.Builder.class);
}
/**
*
* An enum indicating the endianness of the platform that produced this
* bundle. A bundle can only be read by a platform with matching endianness.
* Defaults to LITTLE, as most modern platforms are little-endian.
* Affects the binary tensor data bytes only, not the metadata in protobufs.
*
*
* Protobuf enum {@code tensorflow.BundleHeaderProto.Endianness}
*/
public enum Endianness
implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
/**
* LITTLE = 0;
*/
LITTLE(0),
/**
* BIG = 1;
*/
BIG(1),
UNRECOGNIZED(-1),
;
/**
* LITTLE = 0;
*/
public static final int LITTLE_VALUE = 0;
/**
* BIG = 1;
*/
public static final int BIG_VALUE = 1;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static Endianness valueOf(int value) {
return forNumber(value);
}
public static Endianness forNumber(int value) {
switch (value) {
case 0: return LITTLE;
case 1: return BIG;
default: return null;
}
}
public static org.nd4j.shade.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final org.nd4j.shade.protobuf.Internal.EnumLiteMap<
Endianness> internalValueMap =
new org.nd4j.shade.protobuf.Internal.EnumLiteMap() {
public Endianness findValueByNumber(int number) {
return Endianness.forNumber(number);
}
};
public final org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final org.nd4j.shade.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return org.tensorflow.util.BundleHeaderProto.getDescriptor().getEnumTypes().get(0);
}
private static final Endianness[] VALUES = values();
public static Endianness valueOf(
org.nd4j.shade.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private Endianness(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.BundleHeaderProto.Endianness)
}
public static final int NUM_SHARDS_FIELD_NUMBER = 1;
private int numShards_;
/**
*
* Number of data files in the bundle.
*
*
* int32 num_shards = 1;
*/
public int getNumShards() {
return numShards_;
}
public static final int ENDIANNESS_FIELD_NUMBER = 2;
private int endianness_;
/**
* .tensorflow.BundleHeaderProto.Endianness endianness = 2;
*/
public int getEndiannessValue() {
return endianness_;
}
/**
* .tensorflow.BundleHeaderProto.Endianness endianness = 2;
*/
public org.tensorflow.util.BundleHeaderProto.Endianness getEndianness() {
@SuppressWarnings("deprecation")
org.tensorflow.util.BundleHeaderProto.Endianness result = org.tensorflow.util.BundleHeaderProto.Endianness.valueOf(endianness_);
return result == null ? org.tensorflow.util.BundleHeaderProto.Endianness.UNRECOGNIZED : result;
}
public static final int VERSION_FIELD_NUMBER = 3;
private org.tensorflow.framework.VersionDef version_;
/**
*
* Versioning of the tensor bundle format.
*
*
* .tensorflow.VersionDef version = 3;
*/
public boolean hasVersion() {
return version_ != null;
}
/**
*
*
* .tensorflow.VersionDef version = 3;
*/
public org.tensorflow.framework.VersionDefOrBuilder getVersionOrBuilder() {
return getVersion();
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@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (numShards_ != 0) {
output.writeInt32(1, numShards_);
}
if (endianness_ != org.tensorflow.util.BundleHeaderProto.Endianness.LITTLE.getNumber()) {
output.writeEnum(2, endianness_);
}
if (version_ != null) {
output.writeMessage(3, getVersion());
}
unknownFields.writeTo(output);
}
@java.lang.Override
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int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (numShards_ != 0) {
size += org.nd4j.shade.protobuf.CodedOutputStream
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if (endianness_ != org.tensorflow.util.BundleHeaderProto.Endianness.LITTLE.getNumber()) {
size += org.nd4j.shade.protobuf.CodedOutputStream
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if (version_ != null) {
size += org.nd4j.shade.protobuf.CodedOutputStream
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memoizedSize = size;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.util.BundleHeaderProto)) {
return super.equals(obj);
}
org.tensorflow.util.BundleHeaderProto other = (org.tensorflow.util.BundleHeaderProto) obj;
if (getNumShards()
!= other.getNumShards()) return false;
if (endianness_ != other.endianness_) return false;
if (hasVersion() != other.hasVersion()) return false;
if (hasVersion()) {
if (!getVersion()
.equals(other.getVersion())) return false;
}
if (!unknownFields.equals(other.unknownFields)) 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) + NUM_SHARDS_FIELD_NUMBER;
hash = (53 * hash) + getNumShards();
hash = (37 * hash) + ENDIANNESS_FIELD_NUMBER;
hash = (53 * hash) + endianness_;
if (hasVersion()) {
hash = (37 * hash) + VERSION_FIELD_NUMBER;
hash = (53 * hash) + getVersion().hashCode();
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}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.util.BundleHeaderProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.util.BundleHeaderProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.util.BundleHeaderProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.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.util.BundleHeaderProto 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(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Special header that is associated with a bundle.
* TODO(zongheng,zhifengc): maybe in the future, we can add information about
* which binary produced this checkpoint, timestamp, etc. Sometime, these can be
* valuable debugging information. And if needed, these can be used as defensive
* information ensuring reader (binary version) of the checkpoint and the writer
* (binary version) must match within certain range, etc.
*
*
* Protobuf type {@code tensorflow.BundleHeaderProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.BundleHeaderProto)
org.tensorflow.util.BundleHeaderProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.util.TensorBundleProtos.internal_static_tensorflow_BundleHeaderProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.util.TensorBundleProtos.internal_static_tensorflow_BundleHeaderProto_fieldAccessorTable
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org.tensorflow.util.BundleHeaderProto.class, org.tensorflow.util.BundleHeaderProto.Builder.class);
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// Construct using org.tensorflow.util.BundleHeaderProto.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
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}
}
@java.lang.Override
public Builder clear() {
super.clear();
numShards_ = 0;
endianness_ = 0;
if (versionBuilder_ == null) {
version_ = null;
} else {
version_ = null;
versionBuilder_ = null;
}
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.util.TensorBundleProtos.internal_static_tensorflow_BundleHeaderProto_descriptor;
}
@java.lang.Override
public org.tensorflow.util.BundleHeaderProto getDefaultInstanceForType() {
return org.tensorflow.util.BundleHeaderProto.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.util.BundleHeaderProto build() {
org.tensorflow.util.BundleHeaderProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.util.BundleHeaderProto buildPartial() {
org.tensorflow.util.BundleHeaderProto result = new org.tensorflow.util.BundleHeaderProto(this);
result.numShards_ = numShards_;
result.endianness_ = endianness_;
if (versionBuilder_ == null) {
result.version_ = version_;
} else {
result.version_ = versionBuilder_.build();
}
onBuilt();
return result;
}
@java.lang.Override
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return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
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@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.util.BundleHeaderProto) {
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public Builder mergeFrom(org.tensorflow.util.BundleHeaderProto other) {
if (other == org.tensorflow.util.BundleHeaderProto.getDefaultInstance()) return this;
if (other.getNumShards() != 0) {
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}
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this.mergeUnknownFields(other.unknownFields);
onChanged();
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}
@java.lang.Override
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}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.util.BundleHeaderProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.util.BundleHeaderProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int numShards_ ;
/**
*
* Number of data files in the bundle.
*
*
* int32 num_shards = 1;
*/
public int getNumShards() {
return numShards_;
}
/**
*
