tensorflow.Struct Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/struct.proto
package tensorflow;
public final class Struct {
private Struct() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
public interface StructuredValueOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.StructuredValue)
com.google.protobuf.MessageOrBuilder {
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
boolean hasNoneValue();
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
tensorflow.Struct.NoneValue getNoneValue();
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
tensorflow.Struct.NoneValueOrBuilder getNoneValueOrBuilder();
/**
*
* Represents a double-precision floating-point value (a Python `float`).
*
*
* double float64_value = 11;
*/
double getFloat64Value();
/**
*
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
*
*
* sint64 int64_value = 12;
*/
long getInt64Value();
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
java.lang.String getStringValue();
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
com.google.protobuf.ByteString
getStringValueBytes();
/**
*
* Represents a boolean value.
*
*
* bool bool_value = 14;
*/
boolean getBoolValue();
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
boolean hasTensorShapeValue();
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
org.tensorflow.framework.TensorShapeProto getTensorShapeValue();
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
org.tensorflow.framework.TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder();
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
int getTensorDtypeValueValue();
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
org.tensorflow.framework.DataType getTensorDtypeValue();
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
boolean hasTensorSpecValue();
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
tensorflow.Struct.TensorSpecProto getTensorSpecValue();
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
tensorflow.Struct.TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder();
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
boolean hasTypeSpecValue();
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
tensorflow.Struct.TypeSpecProto getTypeSpecValue();
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
tensorflow.Struct.TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder();
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
boolean hasListValue();
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
tensorflow.Struct.ListValue getListValue();
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
tensorflow.Struct.ListValueOrBuilder getListValueOrBuilder();
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
boolean hasTupleValue();
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
tensorflow.Struct.TupleValue getTupleValue();
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
tensorflow.Struct.TupleValueOrBuilder getTupleValueOrBuilder();
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
boolean hasDictValue();
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
tensorflow.Struct.DictValue getDictValue();
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
tensorflow.Struct.DictValueOrBuilder getDictValueOrBuilder();
/**
*
* Represents Python's namedtuple.
*
*
* .tensorflow.NamedTupleValue named_tuple_value = 54;
*/
boolean hasNamedTupleValue();
/**
*
* Represents Python's namedtuple.
*
*
* .tensorflow.NamedTupleValue named_tuple_value = 54;
*/
tensorflow.Struct.NamedTupleValue getNamedTupleValue();
/**
*
* Represents Python's namedtuple.
*
*
* .tensorflow.NamedTupleValue named_tuple_value = 54;
*/
tensorflow.Struct.NamedTupleValueOrBuilder getNamedTupleValueOrBuilder();
public tensorflow.Struct.StructuredValue.KindCase getKindCase();
}
/**
*
* `StructuredValue` represents a dynamically typed value representing various
* data structures that are inspired by Python data structures typically used in
* TensorFlow functions as inputs and outputs.
* For example when saving a Layer there may be a `training` argument. If the
* user passes a boolean True/False, that switches between two concrete
* TensorFlow functions. In order to switch between them in the same way after
* loading the SavedModel, we need to represent "True" and "False".
* A more advanced example might be a function which takes a list of
* dictionaries mapping from strings to Tensors. In order to map from
* user-specified arguments `[{"a": tf.constant(1.)}, {"q": tf.constant(3.)}]`
* after load to the right saved TensorFlow function, we need to represent the
* nested structure and the strings, recording that we have a trace for anything
* matching `[{"a": tf.TensorSpec(None, tf.float32)}, {"q": tf.TensorSpec([],
* tf.float64)}]` as an example.
* Likewise functions may return nested structures of Tensors, for example
* returning a dictionary mapping from strings to Tensors. In order for the
* loaded function to return the same structure we need to serialize it.
* This is an ergonomic aid for working with loaded SavedModels, not a promise
* to serialize all possible function signatures. For example we do not expect
* to pickle generic Python objects, and ideally we'd stay language-agnostic.
*
*
* Protobuf type {@code tensorflow.StructuredValue}
*/
public static final class StructuredValue extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.StructuredValue)
StructuredValueOrBuilder {
private static final long serialVersionUID = 0L;
// Use StructuredValue.newBuilder() to construct.
private StructuredValue(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private StructuredValue() {
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private StructuredValue(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
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while (!done) {
int tag = input.readTag();
switch (tag) {
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default: {
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case 10: {
tensorflow.Struct.NoneValue.Builder subBuilder = null;
if (kindCase_ == 1) {
subBuilder = ((tensorflow.Struct.NoneValue) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.NoneValue.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.NoneValue) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 1;
break;
}
case 89: {
kindCase_ = 11;
kind_ = input.readDouble();
break;
}
case 96: {
kindCase_ = 12;
kind_ = input.readSInt64();
break;
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case 106: {
java.lang.String s = input.readStringRequireUtf8();
kindCase_ = 13;
kind_ = s;
break;
}
case 112: {
kindCase_ = 14;
kind_ = input.readBool();
break;
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case 250: {
org.tensorflow.framework.TensorShapeProto.Builder subBuilder = null;
if (kindCase_ == 31) {
subBuilder = ((org.tensorflow.framework.TensorShapeProto) kind_).toBuilder();
}
kind_ =
input.readMessage(org.tensorflow.framework.TensorShapeProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((org.tensorflow.framework.TensorShapeProto) kind_);
kind_ = subBuilder.buildPartial();
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kindCase_ = 31;
break;
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case 256: {
int rawValue = input.readEnum();
kindCase_ = 32;
kind_ = rawValue;
break;
}
case 266: {
tensorflow.Struct.TensorSpecProto.Builder subBuilder = null;
if (kindCase_ == 33) {
subBuilder = ((tensorflow.Struct.TensorSpecProto) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.TensorSpecProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.TensorSpecProto) kind_);
kind_ = subBuilder.buildPartial();
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kindCase_ = 33;
break;
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case 274: {
tensorflow.Struct.TypeSpecProto.Builder subBuilder = null;
if (kindCase_ == 34) {
subBuilder = ((tensorflow.Struct.TypeSpecProto) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.TypeSpecProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.TypeSpecProto) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 34;
break;
}
case 410: {
tensorflow.Struct.ListValue.Builder subBuilder = null;
if (kindCase_ == 51) {
subBuilder = ((tensorflow.Struct.ListValue) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.ListValue.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.ListValue) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 51;
break;
}
case 418: {
tensorflow.Struct.TupleValue.Builder subBuilder = null;
if (kindCase_ == 52) {
subBuilder = ((tensorflow.Struct.TupleValue) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.TupleValue.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.TupleValue) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 52;
break;
}
case 426: {
tensorflow.Struct.DictValue.Builder subBuilder = null;
if (kindCase_ == 53) {
subBuilder = ((tensorflow.Struct.DictValue) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.DictValue.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.DictValue) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 53;
break;
}
case 434: {
tensorflow.Struct.NamedTupleValue.Builder subBuilder = null;
if (kindCase_ == 54) {
subBuilder = ((tensorflow.Struct.NamedTupleValue) kind_).toBuilder();
}
kind_ =
input.readMessage(tensorflow.Struct.NamedTupleValue.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((tensorflow.Struct.NamedTupleValue) kind_);
kind_ = subBuilder.buildPartial();
}
kindCase_ = 54;
break;
}
}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.Struct.internal_static_tensorflow_StructuredValue_descriptor;
}
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.Struct.internal_static_tensorflow_StructuredValue_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.Struct.StructuredValue.class, tensorflow.Struct.StructuredValue.Builder.class);
}
private int kindCase_ = 0;
private java.lang.Object kind_;
public enum KindCase
implements com.google.protobuf.Internal.EnumLite {
NONE_VALUE(1),
FLOAT64_VALUE(11),
INT64_VALUE(12),
STRING_VALUE(13),
BOOL_VALUE(14),
TENSOR_SHAPE_VALUE(31),
TENSOR_DTYPE_VALUE(32),
TENSOR_SPEC_VALUE(33),
TYPE_SPEC_VALUE(34),
LIST_VALUE(51),
TUPLE_VALUE(52),
DICT_VALUE(53),
NAMED_TUPLE_VALUE(54),
KIND_NOT_SET(0);
private final int value;
private KindCase(int value) {
this.value = value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static KindCase valueOf(int value) {
return forNumber(value);
}
public static KindCase forNumber(int value) {
switch (value) {
case 1: return NONE_VALUE;
case 11: return FLOAT64_VALUE;
case 12: return INT64_VALUE;
case 13: return STRING_VALUE;
case 14: return BOOL_VALUE;
case 31: return TENSOR_SHAPE_VALUE;
case 32: return TENSOR_DTYPE_VALUE;
case 33: return TENSOR_SPEC_VALUE;
case 34: return TYPE_SPEC_VALUE;
case 51: return LIST_VALUE;
case 52: return TUPLE_VALUE;
case 53: return DICT_VALUE;
case 54: return NAMED_TUPLE_VALUE;
case 0: return KIND_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public KindCase
getKindCase() {
return KindCase.forNumber(
kindCase_);
}
public static final int NONE_VALUE_FIELD_NUMBER = 1;
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
public boolean hasNoneValue() {
return kindCase_ == 1;
}
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
public tensorflow.Struct.NoneValue getNoneValue() {
if (kindCase_ == 1) {
return (tensorflow.Struct.NoneValue) kind_;
}
return tensorflow.Struct.NoneValue.getDefaultInstance();
}
/**
*
* Represents None.
*
*
* .tensorflow.NoneValue none_value = 1;
*/
public tensorflow.Struct.NoneValueOrBuilder getNoneValueOrBuilder() {
if (kindCase_ == 1) {
return (tensorflow.Struct.NoneValue) kind_;
}
return tensorflow.Struct.NoneValue.getDefaultInstance();
}
public static final int FLOAT64_VALUE_FIELD_NUMBER = 11;
/**
*
* Represents a double-precision floating-point value (a Python `float`).
*
*
* double float64_value = 11;
*/
public double getFloat64Value() {
if (kindCase_ == 11) {
return (java.lang.Double) kind_;
}
return 0D;
}
public static final int INT64_VALUE_FIELD_NUMBER = 12;
/**
*
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
*
*
* sint64 int64_value = 12;
*/
public long getInt64Value() {
if (kindCase_ == 12) {
return (java.lang.Long) kind_;
}
return 0L;
}
public static final int STRING_VALUE_FIELD_NUMBER = 13;
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public java.lang.String getStringValue() {
java.lang.Object ref = "";
if (kindCase_ == 13) {
ref = kind_;
}
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (kindCase_ == 13) {
kind_ = s;
}
return s;
}
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public com.google.protobuf.ByteString
getStringValueBytes() {
java.lang.Object ref = "";
if (kindCase_ == 13) {
ref = kind_;
}
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (kindCase_ == 13) {
kind_ = b;
}
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int BOOL_VALUE_FIELD_NUMBER = 14;
/**
*
* Represents a boolean value.
*
*
* bool bool_value = 14;
*/
public boolean getBoolValue() {
if (kindCase_ == 14) {
return (java.lang.Boolean) kind_;
}
return false;
}
public static final int TENSOR_SHAPE_VALUE_FIELD_NUMBER = 31;
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public boolean hasTensorShapeValue() {
return kindCase_ == 31;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public org.tensorflow.framework.TensorShapeProto getTensorShapeValue() {
if (kindCase_ == 31) {
return (org.tensorflow.framework.TensorShapeProto) kind_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public org.tensorflow.framework.TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder() {
if (kindCase_ == 31) {
return (org.tensorflow.framework.TensorShapeProto) kind_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
public static final int TENSOR_DTYPE_VALUE_FIELD_NUMBER = 32;
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public int getTensorDtypeValueValue() {
if (kindCase_ == 32) {
return (java.lang.Integer) kind_;
}
return 0;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public org.tensorflow.framework.DataType getTensorDtypeValue() {
if (kindCase_ == 32) {
org.tensorflow.framework.DataType result = org.tensorflow.framework.DataType.valueOf(
(java.lang.Integer) kind_);
return result == null ? org.tensorflow.framework.DataType.UNRECOGNIZED : result;
}
return org.tensorflow.framework.DataType.DT_INVALID;
}
public static final int TENSOR_SPEC_VALUE_FIELD_NUMBER = 33;
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public boolean hasTensorSpecValue() {
return kindCase_ == 33;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public tensorflow.Struct.TensorSpecProto getTensorSpecValue() {
if (kindCase_ == 33) {
return (tensorflow.Struct.TensorSpecProto) kind_;
}
return tensorflow.Struct.TensorSpecProto.getDefaultInstance();
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public tensorflow.Struct.TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder() {
if (kindCase_ == 33) {
return (tensorflow.Struct.TensorSpecProto) kind_;
}
return tensorflow.Struct.TensorSpecProto.getDefaultInstance();
}
public static final int TYPE_SPEC_VALUE_FIELD_NUMBER = 34;
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public boolean hasTypeSpecValue() {
return kindCase_ == 34;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public tensorflow.Struct.TypeSpecProto getTypeSpecValue() {
if (kindCase_ == 34) {
return (tensorflow.Struct.TypeSpecProto) kind_;
}
return tensorflow.Struct.TypeSpecProto.getDefaultInstance();
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public tensorflow.Struct.TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder() {
if (kindCase_ == 34) {
return (tensorflow.Struct.TypeSpecProto) kind_;
}
return tensorflow.Struct.TypeSpecProto.getDefaultInstance();
}
public static final int LIST_VALUE_FIELD_NUMBER = 51;
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public boolean hasListValue() {
return kindCase_ == 51;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public tensorflow.Struct.ListValue getListValue() {
if (kindCase_ == 51) {
return (tensorflow.Struct.ListValue) kind_;
}
return tensorflow.Struct.ListValue.getDefaultInstance();
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public tensorflow.Struct.ListValueOrBuilder getListValueOrBuilder() {
if (kindCase_ == 51) {
return (tensorflow.Struct.ListValue) kind_;
}
return tensorflow.Struct.ListValue.getDefaultInstance();
}
public static final int TUPLE_VALUE_FIELD_NUMBER = 52;
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
public boolean hasTupleValue() {
return kindCase_ == 52;
}
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
public tensorflow.Struct.TupleValue getTupleValue() {
if (kindCase_ == 52) {
return (tensorflow.Struct.TupleValue) kind_;
}
return tensorflow.Struct.TupleValue.getDefaultInstance();
}
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
public tensorflow.Struct.TupleValueOrBuilder getTupleValueOrBuilder() {
if (kindCase_ == 52) {
return (tensorflow.Struct.TupleValue) kind_;
}
return tensorflow.Struct.TupleValue.getDefaultInstance();
}
public static final int DICT_VALUE_FIELD_NUMBER = 53;
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
public boolean hasDictValue() {
return kindCase_ == 53;
}
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
public tensorflow.Struct.DictValue getDictValue() {
if (kindCase_ == 53) {
return (tensorflow.Struct.DictValue) kind_;
}
return tensorflow.Struct.DictValue.getDefaultInstance();
}
/**
*
* Represents a dict `Value`.
*
*
* .tensorflow.DictValue dict_value = 53;
*/
public tensorflow.Struct.DictValueOrBuilder getDictValueOrBuilder() {
if (kindCase_ == 53) {
return (tensorflow.Struct.DictValue) kind_;
}
return tensorflow.Struct.DictValue.getDefaultInstance();
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kind_ = null;
onChanged();
}
return this;
}
/**
*
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
*
*
* sint64 int64_value = 12;
*/
public long getInt64Value() {
if (kindCase_ == 12) {
return (java.lang.Long) kind_;
}
return 0L;
}
/**
*
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
*
*
* sint64 int64_value = 12;
*/
public Builder setInt64Value(long value) {
kindCase_ = 12;
kind_ = value;
onChanged();
return this;
}
/**
*
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
*
*
* sint64 int64_value = 12;
*/
public Builder clearInt64Value() {
if (kindCase_ == 12) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
return this;
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public java.lang.String getStringValue() {
java.lang.Object ref = "";
if (kindCase_ == 13) {
ref = kind_;
}
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (kindCase_ == 13) {
kind_ = s;
}
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public com.google.protobuf.ByteString
getStringValueBytes() {
java.lang.Object ref = "";
if (kindCase_ == 13) {
ref = kind_;
}
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (kindCase_ == 13) {
kind_ = b;
}
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public Builder setStringValue(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
kindCase_ = 13;
kind_ = value;
onChanged();
return this;
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public Builder clearStringValue() {
if (kindCase_ == 13) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
return this;
}
/**
*
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
*
*
* string string_value = 13;
*/
public Builder setStringValueBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
kindCase_ = 13;
kind_ = value;
onChanged();
return this;
}
/**
*
* Represents a boolean value.
*
*
* bool bool_value = 14;
*/
public boolean getBoolValue() {
if (kindCase_ == 14) {
return (java.lang.Boolean) kind_;
}
return false;
}
/**
*
* Represents a boolean value.
*
*
* bool bool_value = 14;
*/
public Builder setBoolValue(boolean value) {
kindCase_ = 14;
kind_ = value;
onChanged();
return this;
}
/**
*
* Represents a boolean value.
*
*
* bool bool_value = 14;
*/
public Builder clearBoolValue() {
if (kindCase_ == 14) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder> tensorShapeValueBuilder_;
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public boolean hasTensorShapeValue() {
return kindCase_ == 31;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public org.tensorflow.framework.TensorShapeProto getTensorShapeValue() {
if (tensorShapeValueBuilder_ == null) {
if (kindCase_ == 31) {
return (org.tensorflow.framework.TensorShapeProto) kind_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
} else {
if (kindCase_ == 31) {
return tensorShapeValueBuilder_.getMessage();
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public Builder setTensorShapeValue(org.tensorflow.framework.TensorShapeProto value) {
if (tensorShapeValueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
kind_ = value;
onChanged();
} else {
tensorShapeValueBuilder_.setMessage(value);
}
kindCase_ = 31;
return this;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public Builder setTensorShapeValue(
org.tensorflow.framework.TensorShapeProto.Builder builderForValue) {
if (tensorShapeValueBuilder_ == null) {
kind_ = builderForValue.build();
onChanged();
} else {
tensorShapeValueBuilder_.setMessage(builderForValue.build());
}
kindCase_ = 31;
return this;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public Builder mergeTensorShapeValue(org.tensorflow.framework.TensorShapeProto value) {
if (tensorShapeValueBuilder_ == null) {
if (kindCase_ == 31 &&
kind_ != org.tensorflow.framework.TensorShapeProto.getDefaultInstance()) {
kind_ = org.tensorflow.framework.TensorShapeProto.newBuilder((org.tensorflow.framework.TensorShapeProto) kind_)
.mergeFrom(value).buildPartial();
} else {
kind_ = value;
}
onChanged();
} else {
if (kindCase_ == 31) {
tensorShapeValueBuilder_.mergeFrom(value);
}
tensorShapeValueBuilder_.setMessage(value);
}
kindCase_ = 31;
return this;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public Builder clearTensorShapeValue() {
if (tensorShapeValueBuilder_ == null) {
if (kindCase_ == 31) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
} else {
if (kindCase_ == 31) {
kindCase_ = 0;
kind_ = null;
}
tensorShapeValueBuilder_.clear();
}
return this;
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public org.tensorflow.framework.TensorShapeProto.Builder getTensorShapeValueBuilder() {
return getTensorShapeValueFieldBuilder().getBuilder();
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
public org.tensorflow.framework.TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder() {
if ((kindCase_ == 31) && (tensorShapeValueBuilder_ != null)) {
return tensorShapeValueBuilder_.getMessageOrBuilder();
} else {
if (kindCase_ == 31) {
return (org.tensorflow.framework.TensorShapeProto) kind_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
}
/**
*
* Represents a TensorShape.
*
*
* .tensorflow.TensorShapeProto tensor_shape_value = 31;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>
getTensorShapeValueFieldBuilder() {
if (tensorShapeValueBuilder_ == null) {
if (!(kindCase_ == 31)) {
kind_ = org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
tensorShapeValueBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>(
(org.tensorflow.framework.TensorShapeProto) kind_,
getParentForChildren(),
isClean());
kind_ = null;
}
kindCase_ = 31;
onChanged();;
return tensorShapeValueBuilder_;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public int getTensorDtypeValueValue() {
if (kindCase_ == 32) {
return ((java.lang.Integer) kind_).intValue();
}
return 0;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public Builder setTensorDtypeValueValue(int value) {
kindCase_ = 32;
kind_ = value;
onChanged();
return this;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public org.tensorflow.framework.DataType getTensorDtypeValue() {
if (kindCase_ == 32) {
org.tensorflow.framework.DataType result = org.tensorflow.framework.DataType.valueOf(
(java.lang.Integer) kind_);
return result == null ? org.tensorflow.framework.DataType.UNRECOGNIZED : result;
}
return org.tensorflow.framework.DataType.DT_INVALID;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public Builder setTensorDtypeValue(org.tensorflow.framework.DataType value) {
if (value == null) {
throw new NullPointerException();
}
kindCase_ = 32;
kind_ = value.getNumber();
onChanged();
return this;
}
/**
*
* Represents an enum value for dtype.
*
*
* .tensorflow.DataType tensor_dtype_value = 32;
*/
public Builder clearTensorDtypeValue() {
if (kindCase_ == 32) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TensorSpecProto, tensorflow.Struct.TensorSpecProto.Builder, tensorflow.Struct.TensorSpecProtoOrBuilder> tensorSpecValueBuilder_;
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public boolean hasTensorSpecValue() {
return kindCase_ == 33;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public tensorflow.Struct.TensorSpecProto getTensorSpecValue() {
if (tensorSpecValueBuilder_ == null) {
if (kindCase_ == 33) {
return (tensorflow.Struct.TensorSpecProto) kind_;
}
return tensorflow.Struct.TensorSpecProto.getDefaultInstance();
} else {
if (kindCase_ == 33) {
return tensorSpecValueBuilder_.getMessage();
}
return tensorflow.Struct.TensorSpecProto.getDefaultInstance();
}
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public Builder setTensorSpecValue(tensorflow.Struct.TensorSpecProto value) {
if (tensorSpecValueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
kind_ = value;
onChanged();
} else {
tensorSpecValueBuilder_.setMessage(value);
}
kindCase_ = 33;
return this;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public Builder setTensorSpecValue(
tensorflow.Struct.TensorSpecProto.Builder builderForValue) {
if (tensorSpecValueBuilder_ == null) {
kind_ = builderForValue.build();
onChanged();
} else {
tensorSpecValueBuilder_.setMessage(builderForValue.build());
}
kindCase_ = 33;
return this;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public Builder mergeTensorSpecValue(tensorflow.Struct.TensorSpecProto value) {
if (tensorSpecValueBuilder_ == null) {
if (kindCase_ == 33 &&
kind_ != tensorflow.Struct.TensorSpecProto.getDefaultInstance()) {
kind_ = tensorflow.Struct.TensorSpecProto.newBuilder((tensorflow.Struct.TensorSpecProto) kind_)
.mergeFrom(value).buildPartial();
} else {
kind_ = value;
}
onChanged();
} else {
if (kindCase_ == 33) {
tensorSpecValueBuilder_.mergeFrom(value);
}
tensorSpecValueBuilder_.setMessage(value);
}
kindCase_ = 33;
return this;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public Builder clearTensorSpecValue() {
if (tensorSpecValueBuilder_ == null) {
if (kindCase_ == 33) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
} else {
if (kindCase_ == 33) {
kindCase_ = 0;
kind_ = null;
}
tensorSpecValueBuilder_.clear();
}
return this;
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public tensorflow.Struct.TensorSpecProto.Builder getTensorSpecValueBuilder() {
return getTensorSpecValueFieldBuilder().getBuilder();
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
public tensorflow.Struct.TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder() {
if ((kindCase_ == 33) && (tensorSpecValueBuilder_ != null)) {
return tensorSpecValueBuilder_.getMessageOrBuilder();
} else {
if (kindCase_ == 33) {
return (tensorflow.Struct.TensorSpecProto) kind_;
}
return tensorflow.Struct.TensorSpecProto.getDefaultInstance();
}
}
/**
*
* Represents a value for tf.TensorSpec.
*
*
* .tensorflow.TensorSpecProto tensor_spec_value = 33;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TensorSpecProto, tensorflow.Struct.TensorSpecProto.Builder, tensorflow.Struct.TensorSpecProtoOrBuilder>
getTensorSpecValueFieldBuilder() {
if (tensorSpecValueBuilder_ == null) {
if (!(kindCase_ == 33)) {
kind_ = tensorflow.Struct.TensorSpecProto.getDefaultInstance();
}
tensorSpecValueBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TensorSpecProto, tensorflow.Struct.TensorSpecProto.Builder, tensorflow.Struct.TensorSpecProtoOrBuilder>(
(tensorflow.Struct.TensorSpecProto) kind_,
getParentForChildren(),
isClean());
kind_ = null;
}
kindCase_ = 33;
onChanged();;
return tensorSpecValueBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TypeSpecProto, tensorflow.Struct.TypeSpecProto.Builder, tensorflow.Struct.TypeSpecProtoOrBuilder> typeSpecValueBuilder_;
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public boolean hasTypeSpecValue() {
return kindCase_ == 34;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public tensorflow.Struct.TypeSpecProto getTypeSpecValue() {
if (typeSpecValueBuilder_ == null) {
if (kindCase_ == 34) {
return (tensorflow.Struct.TypeSpecProto) kind_;
}
return tensorflow.Struct.TypeSpecProto.getDefaultInstance();
} else {
if (kindCase_ == 34) {
return typeSpecValueBuilder_.getMessage();
}
return tensorflow.Struct.TypeSpecProto.getDefaultInstance();
}
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public Builder setTypeSpecValue(tensorflow.Struct.TypeSpecProto value) {
if (typeSpecValueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
kind_ = value;
onChanged();
} else {
typeSpecValueBuilder_.setMessage(value);
}
kindCase_ = 34;
return this;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public Builder setTypeSpecValue(
tensorflow.Struct.TypeSpecProto.Builder builderForValue) {
if (typeSpecValueBuilder_ == null) {
kind_ = builderForValue.build();
onChanged();
} else {
typeSpecValueBuilder_.setMessage(builderForValue.build());
}
kindCase_ = 34;
return this;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public Builder mergeTypeSpecValue(tensorflow.Struct.TypeSpecProto value) {
if (typeSpecValueBuilder_ == null) {
if (kindCase_ == 34 &&
kind_ != tensorflow.Struct.TypeSpecProto.getDefaultInstance()) {
kind_ = tensorflow.Struct.TypeSpecProto.newBuilder((tensorflow.Struct.TypeSpecProto) kind_)
.mergeFrom(value).buildPartial();
} else {
kind_ = value;
}
onChanged();
} else {
if (kindCase_ == 34) {
typeSpecValueBuilder_.mergeFrom(value);
}
typeSpecValueBuilder_.setMessage(value);
}
kindCase_ = 34;
return this;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public Builder clearTypeSpecValue() {
if (typeSpecValueBuilder_ == null) {
if (kindCase_ == 34) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
} else {
if (kindCase_ == 34) {
kindCase_ = 0;
kind_ = null;
}
typeSpecValueBuilder_.clear();
}
return this;
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public tensorflow.Struct.TypeSpecProto.Builder getTypeSpecValueBuilder() {
return getTypeSpecValueFieldBuilder().getBuilder();
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
public tensorflow.Struct.TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder() {
if ((kindCase_ == 34) && (typeSpecValueBuilder_ != null)) {
return typeSpecValueBuilder_.getMessageOrBuilder();
} else {
if (kindCase_ == 34) {
return (tensorflow.Struct.TypeSpecProto) kind_;
}
return tensorflow.Struct.TypeSpecProto.getDefaultInstance();
}
}
/**
*
* Represents a value for tf.TypeSpec.
*
*
* .tensorflow.TypeSpecProto type_spec_value = 34;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TypeSpecProto, tensorflow.Struct.TypeSpecProto.Builder, tensorflow.Struct.TypeSpecProtoOrBuilder>
getTypeSpecValueFieldBuilder() {
if (typeSpecValueBuilder_ == null) {
if (!(kindCase_ == 34)) {
kind_ = tensorflow.Struct.TypeSpecProto.getDefaultInstance();
}
typeSpecValueBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TypeSpecProto, tensorflow.Struct.TypeSpecProto.Builder, tensorflow.Struct.TypeSpecProtoOrBuilder>(
(tensorflow.Struct.TypeSpecProto) kind_,
getParentForChildren(),
isClean());
kind_ = null;
}
kindCase_ = 34;
onChanged();;
return typeSpecValueBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.ListValue, tensorflow.Struct.ListValue.Builder, tensorflow.Struct.ListValueOrBuilder> listValueBuilder_;
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public boolean hasListValue() {
return kindCase_ == 51;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public tensorflow.Struct.ListValue getListValue() {
if (listValueBuilder_ == null) {
if (kindCase_ == 51) {
return (tensorflow.Struct.ListValue) kind_;
}
return tensorflow.Struct.ListValue.getDefaultInstance();
} else {
if (kindCase_ == 51) {
return listValueBuilder_.getMessage();
}
return tensorflow.Struct.ListValue.getDefaultInstance();
}
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public Builder setListValue(tensorflow.Struct.ListValue value) {
if (listValueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
kind_ = value;
onChanged();
} else {
listValueBuilder_.setMessage(value);
}
kindCase_ = 51;
return this;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public Builder setListValue(
tensorflow.Struct.ListValue.Builder builderForValue) {
if (listValueBuilder_ == null) {
kind_ = builderForValue.build();
onChanged();
} else {
listValueBuilder_.setMessage(builderForValue.build());
}
kindCase_ = 51;
return this;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public Builder mergeListValue(tensorflow.Struct.ListValue value) {
if (listValueBuilder_ == null) {
if (kindCase_ == 51 &&
kind_ != tensorflow.Struct.ListValue.getDefaultInstance()) {
kind_ = tensorflow.Struct.ListValue.newBuilder((tensorflow.Struct.ListValue) kind_)
.mergeFrom(value).buildPartial();
} else {
kind_ = value;
}
onChanged();
} else {
if (kindCase_ == 51) {
listValueBuilder_.mergeFrom(value);
}
listValueBuilder_.setMessage(value);
}
kindCase_ = 51;
return this;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public Builder clearListValue() {
if (listValueBuilder_ == null) {
if (kindCase_ == 51) {
kindCase_ = 0;
kind_ = null;
onChanged();
}
} else {
if (kindCase_ == 51) {
kindCase_ = 0;
kind_ = null;
}
listValueBuilder_.clear();
}
return this;
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public tensorflow.Struct.ListValue.Builder getListValueBuilder() {
return getListValueFieldBuilder().getBuilder();
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
public tensorflow.Struct.ListValueOrBuilder getListValueOrBuilder() {
if ((kindCase_ == 51) && (listValueBuilder_ != null)) {
return listValueBuilder_.getMessageOrBuilder();
} else {
if (kindCase_ == 51) {
return (tensorflow.Struct.ListValue) kind_;
}
return tensorflow.Struct.ListValue.getDefaultInstance();
}
}
/**
*
* Represents a list of `Value`.
*
*
* .tensorflow.ListValue list_value = 51;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.ListValue, tensorflow.Struct.ListValue.Builder, tensorflow.Struct.ListValueOrBuilder>
getListValueFieldBuilder() {
if (listValueBuilder_ == null) {
if (!(kindCase_ == 51)) {
kind_ = tensorflow.Struct.ListValue.getDefaultInstance();
}
listValueBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.ListValue, tensorflow.Struct.ListValue.Builder, tensorflow.Struct.ListValueOrBuilder>(
(tensorflow.Struct.ListValue) kind_,
getParentForChildren(),
isClean());
kind_ = null;
}
kindCase_ = 51;
onChanged();;
return listValueBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.TupleValue, tensorflow.Struct.TupleValue.Builder, tensorflow.Struct.TupleValueOrBuilder> tupleValueBuilder_;
/**
*
* Represents a tuple of `Value`.
*
*
* .tensorflow.TupleValue tuple_value = 52;
*/
public boolean hasTupleValue() {
return kindCase_ == 52;
}
/**
*
* Represents a tuple of `Value`.
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tensorflow.Struct.TypeSpecProto.TypeSpecClass getTypeSpecClass();
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
boolean hasTypeState();
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
tensorflow.Struct.StructuredValue getTypeState();
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
tensorflow.Struct.StructuredValueOrBuilder getTypeStateOrBuilder();
/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
java.lang.String getTypeSpecClassName();
/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
com.google.protobuf.ByteString
getTypeSpecClassNameBytes();
}
/**
*
* Represents a tf.TypeSpec
*
*
* Protobuf type {@code tensorflow.TypeSpecProto}
*/
public static final class TypeSpecProto extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.TypeSpecProto)
TypeSpecProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TypeSpecProto.newBuilder() to construct.
private TypeSpecProto(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
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typeSpecClass_ = 0;
typeSpecClassName_ = "";
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private TypeSpecProto(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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this();
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case 18: {
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.Struct.internal_static_tensorflow_TypeSpecProto_descriptor;
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protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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/**
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/**
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*/
UNKNOWN(0),
/**
*
* tf.SparseTensorSpec
*
*
* SPARSE_TENSOR_SPEC = 1;
*/
SPARSE_TENSOR_SPEC(1),
/**
*
* tf.IndexedSlicesSpec
*
*
* INDEXED_SLICES_SPEC = 2;
*/
INDEXED_SLICES_SPEC(2),
/**
*
* tf.RaggedTensorSpec
*
*
* RAGGED_TENSOR_SPEC = 3;
*/
RAGGED_TENSOR_SPEC(3),
/**
*
* tf.TensorArraySpec
*
*
* TENSOR_ARRAY_SPEC = 4;
*/
TENSOR_ARRAY_SPEC(4),
/**
*
* tf.data.DatasetSpec
*
*
* DATA_DATASET_SPEC = 5;
*/
DATA_DATASET_SPEC(5),
/**
*
* IteratorSpec from data/ops/iterator_ops.py
*
*
* DATA_ITERATOR_SPEC = 6;
*/
DATA_ITERATOR_SPEC(6),
/**
*
* tf.OptionalSpec
*
*
* OPTIONAL_SPEC = 7;
*/
OPTIONAL_SPEC(7),
/**
*
* PerReplicaSpec from distribute/values.py
*
*
* PER_REPLICA_SPEC = 8;
*/
PER_REPLICA_SPEC(8),
UNRECOGNIZED(-1),
;
/**
* UNKNOWN = 0;
*/
public static final int UNKNOWN_VALUE = 0;
/**
*
* tf.SparseTensorSpec
*
*
* SPARSE_TENSOR_SPEC = 1;
*/
public static final int SPARSE_TENSOR_SPEC_VALUE = 1;
/**
*
* tf.IndexedSlicesSpec
*
*
* INDEXED_SLICES_SPEC = 2;
*/
public static final int INDEXED_SLICES_SPEC_VALUE = 2;
/**
*
* tf.RaggedTensorSpec
*
*
* RAGGED_TENSOR_SPEC = 3;
*/
public static final int RAGGED_TENSOR_SPEC_VALUE = 3;
/**
*
* tf.TensorArraySpec
*
*
* TENSOR_ARRAY_SPEC = 4;
*/
public static final int TENSOR_ARRAY_SPEC_VALUE = 4;
/**
*
* tf.data.DatasetSpec
*
*
* DATA_DATASET_SPEC = 5;
*/
public static final int DATA_DATASET_SPEC_VALUE = 5;
/**
*
* IteratorSpec from data/ops/iterator_ops.py
*
*
* DATA_ITERATOR_SPEC = 6;
*/
public static final int DATA_ITERATOR_SPEC_VALUE = 6;
/**
*
* tf.OptionalSpec
*
*
* OPTIONAL_SPEC = 7;
*/
public static final int OPTIONAL_SPEC_VALUE = 7;
/**
*
* PerReplicaSpec from distribute/values.py
*
*
* PER_REPLICA_SPEC = 8;
*/
public static final int PER_REPLICA_SPEC_VALUE = 8;
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if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
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return value;
}
/**
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*/
@java.lang.Deprecated
public static TypeSpecClass valueOf(int value) {
return forNumber(value);
}
public static TypeSpecClass forNumber(int value) {
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case 1: return SPARSE_TENSOR_SPEC;
case 2: return INDEXED_SLICES_SPEC;
case 3: return RAGGED_TENSOR_SPEC;
case 4: return TENSOR_ARRAY_SPEC;
case 5: return DATA_DATASET_SPEC;
case 6: return DATA_ITERATOR_SPEC;
case 7: return OPTIONAL_SPEC;
case 8: return PER_REPLICA_SPEC;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
TypeSpecClass> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public TypeSpecClass findValueByNumber(int number) {
return TypeSpecClass.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return tensorflow.Struct.TypeSpecProto.getDescriptor().getEnumTypes().get(0);
}
private static final TypeSpecClass[] VALUES = values();
public static TypeSpecClass valueOf(
com.google.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 TypeSpecClass(int value) {
this.value = value;
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// @@protoc_insertion_point(enum_scope:tensorflow.TypeSpecProto.TypeSpecClass)
}
public static final int TYPE_SPEC_CLASS_FIELD_NUMBER = 1;
private int typeSpecClass_;
/**
* .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
*/
public int getTypeSpecClassValue() {
return typeSpecClass_;
}
/**
* .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
*/
public tensorflow.Struct.TypeSpecProto.TypeSpecClass getTypeSpecClass() {
tensorflow.Struct.TypeSpecProto.TypeSpecClass result = tensorflow.Struct.TypeSpecProto.TypeSpecClass.valueOf(typeSpecClass_);
return result == null ? tensorflow.Struct.TypeSpecProto.TypeSpecClass.UNRECOGNIZED : result;
}
public static final int TYPE_STATE_FIELD_NUMBER = 2;
private tensorflow.Struct.StructuredValue typeState_;
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public boolean hasTypeState() {
return typeState_ != null;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public tensorflow.Struct.StructuredValue getTypeState() {
return typeState_ == null ? tensorflow.Struct.StructuredValue.getDefaultInstance() : typeState_;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public tensorflow.Struct.StructuredValueOrBuilder getTypeStateOrBuilder() {
return getTypeState();
}
public static final int TYPE_SPEC_CLASS_NAME_FIELD_NUMBER = 3;
private volatile java.lang.Object typeSpecClassName_;
/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
public java.lang.String getTypeSpecClassName() {
java.lang.Object ref = typeSpecClassName_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
typeSpecClassName_ = s;
return s;
}
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/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
public com.google.protobuf.ByteString
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java.lang.Object ref = typeSpecClassName_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
typeSpecClassName_ = b;
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if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
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public void writeTo(com.google.protobuf.CodedOutputStream output)
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if (typeSpecClass_ != tensorflow.Struct.TypeSpecProto.TypeSpecClass.UNKNOWN.getNumber()) {
output.writeEnum(1, typeSpecClass_);
}
if (typeState_ != null) {
output.writeMessage(2, getTypeState());
}
if (!getTypeSpecClassNameBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 3, typeSpecClassName_);
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unknownFields.writeTo(output);
}
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (typeSpecClass_ != tensorflow.Struct.TypeSpecProto.TypeSpecClass.UNKNOWN.getNumber()) {
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if (typeState_ != null) {
size += com.google.protobuf.CodedOutputStream
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if (!getTypeSpecClassNameBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, typeSpecClassName_);
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.Struct.TypeSpecProto)) {
return super.equals(obj);
}
tensorflow.Struct.TypeSpecProto other = (tensorflow.Struct.TypeSpecProto) obj;
boolean result = true;
result = result && typeSpecClass_ == other.typeSpecClass_;
result = result && (hasTypeState() == other.hasTypeState());
if (hasTypeState()) {
result = result && getTypeState()
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result = result && getTypeSpecClassName()
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result = result && unknownFields.equals(other.unknownFields);
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if (memoizedHashCode != 0) {
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + TYPE_SPEC_CLASS_FIELD_NUMBER;
hash = (53 * hash) + typeSpecClass_;
if (hasTypeState()) {
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hash = (53 * hash) + getTypeState().hashCode();
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hash = (37 * hash) + TYPE_SPEC_CLASS_NAME_FIELD_NUMBER;
hash = (53 * hash) + getTypeSpecClassName().hashCode();
hash = (29 * hash) + unknownFields.hashCode();
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public static tensorflow.Struct.TypeSpecProto parseFrom(
java.nio.ByteBuffer data)
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return PARSER.parseFrom(data);
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public static tensorflow.Struct.TypeSpecProto parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.Struct.TypeSpecProto parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static tensorflow.Struct.TypeSpecProto parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.Struct.TypeSpecProto parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static tensorflow.Struct.TypeSpecProto parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.Struct.TypeSpecProto parseFrom(java.io.InputStream input)
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return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.Struct.TypeSpecProto parseFrom(
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public static tensorflow.Struct.TypeSpecProto parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.Struct.TypeSpecProto parseFrom(
com.google.protobuf.CodedInputStream input)
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return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.Struct.TypeSpecProto parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
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public static Builder newBuilder(tensorflow.Struct.TypeSpecProto prototype) {
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@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
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/**
*
* Represents a tf.TypeSpec
*
*
* Protobuf type {@code tensorflow.TypeSpecProto}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.TypeSpecProto)
tensorflow.Struct.TypeSpecProtoOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.Struct.internal_static_tensorflow_TypeSpecProto_descriptor;
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protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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typeSpecClass_ = 0;
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typeState_ = null;
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typeState_ = null;
typeStateBuilder_ = null;
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typeSpecClassName_ = "";
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tensorflow.Struct.TypeSpecProto result = buildPartial();
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tensorflow.Struct.TypeSpecProto result = new tensorflow.Struct.TypeSpecProto(this);
result.typeSpecClass_ = typeSpecClass_;
if (typeStateBuilder_ == null) {
result.typeState_ = typeState_;
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result.typeSpecClassName_ = typeSpecClassName_;
onBuilt();
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com.google.protobuf.Descriptors.FieldDescriptor field,
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com.google.protobuf.Descriptors.FieldDescriptor field) {
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if (other == tensorflow.Struct.TypeSpecProto.getDefaultInstance()) return this;
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/**
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/**
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*/
public Builder setTypeSpecClassValue(int value) {
typeSpecClass_ = value;
onChanged();
return this;
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/**
* .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
*/
public tensorflow.Struct.TypeSpecProto.TypeSpecClass getTypeSpecClass() {
tensorflow.Struct.TypeSpecProto.TypeSpecClass result = tensorflow.Struct.TypeSpecProto.TypeSpecClass.valueOf(typeSpecClass_);
return result == null ? tensorflow.Struct.TypeSpecProto.TypeSpecClass.UNRECOGNIZED : result;
}
/**
* .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
*/
public Builder setTypeSpecClass(tensorflow.Struct.TypeSpecProto.TypeSpecClass value) {
if (value == null) {
throw new NullPointerException();
}
typeSpecClass_ = value.getNumber();
onChanged();
return this;
}
/**
* .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
*/
public Builder clearTypeSpecClass() {
typeSpecClass_ = 0;
onChanged();
return this;
}
private tensorflow.Struct.StructuredValue typeState_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.Struct.StructuredValue, tensorflow.Struct.StructuredValue.Builder, tensorflow.Struct.StructuredValueOrBuilder> typeStateBuilder_;
/**
*
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*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public boolean hasTypeState() {
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}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public tensorflow.Struct.StructuredValue getTypeState() {
if (typeStateBuilder_ == null) {
return typeState_ == null ? tensorflow.Struct.StructuredValue.getDefaultInstance() : typeState_;
} else {
return typeStateBuilder_.getMessage();
}
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public Builder setTypeState(tensorflow.Struct.StructuredValue value) {
if (typeStateBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
typeState_ = value;
onChanged();
} else {
typeStateBuilder_.setMessage(value);
}
return this;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public Builder setTypeState(
tensorflow.Struct.StructuredValue.Builder builderForValue) {
if (typeStateBuilder_ == null) {
typeState_ = builderForValue.build();
onChanged();
} else {
typeStateBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public Builder mergeTypeState(tensorflow.Struct.StructuredValue value) {
if (typeStateBuilder_ == null) {
if (typeState_ != null) {
typeState_ =
tensorflow.Struct.StructuredValue.newBuilder(typeState_).mergeFrom(value).buildPartial();
} else {
typeState_ = value;
}
onChanged();
} else {
typeStateBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public Builder clearTypeState() {
if (typeStateBuilder_ == null) {
typeState_ = null;
onChanged();
} else {
typeState_ = null;
typeStateBuilder_ = null;
}
return this;
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
public tensorflow.Struct.StructuredValue.Builder getTypeStateBuilder() {
onChanged();
return getTypeStateFieldBuilder().getBuilder();
}
/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
*/
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if (typeStateBuilder_ != null) {
return typeStateBuilder_.getMessageOrBuilder();
} else {
return typeState_ == null ?
tensorflow.Struct.StructuredValue.getDefaultInstance() : typeState_;
}
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/**
*
* The value returned by TypeSpec._serialize().
*
*
* .tensorflow.StructuredValue type_state = 2;
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getTypeStateFieldBuilder() {
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getParentForChildren(),
isClean());
typeState_ = null;
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/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
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java.lang.Object ref = typeSpecClassName_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
typeSpecClassName_ = s;
return s;
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}
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/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
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java.lang.Object ref = typeSpecClassName_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
typeSpecClassName_ = b;
return b;
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/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
*
*
* string type_spec_class_name = 3;
*/
public Builder setTypeSpecClassName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
typeSpecClassName_ = value;
onChanged();
return this;
}
/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
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*
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*/
public Builder clearTypeSpecClassName() {
typeSpecClassName_ = getDefaultInstance().getTypeSpecClassName();
onChanged();
return this;
}
/**
*
* This is currently redundant with the type_spec_class enum, and is only
* used for error reporting. In particular, if you use an older binary to
* load a newer model, and the model uses a TypeSpecClass that the older
* binary doesn't support, then this lets us display a useful error message.
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*
* string type_spec_class_name = 3;
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if (value == null) {
throw new NullPointerException();
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checkByteStringIsUtf8(value);
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onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.TypeSpecProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.TypeSpecProto)
private static final tensorflow.Struct.TypeSpecProto DEFAULT_INSTANCE;
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public TypeSpecProto parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new TypeSpecProto(input, extensionRegistry);
}
};
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return PARSER;
}
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public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public tensorflow.Struct.TypeSpecProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
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}
// @@protoc_insertion_point(outer_class_scope)
}
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