FixedLenFeatureProto

public final class FixedLenFeatureProto

Protobuf type tensorflow.FixedLenFeatureProto

Nested Classes

class FixedLenFeatureProto.Builder Protobuf type tensorflow.FixedLenFeatureProto  

Constants

int DEFAULT_VALUE_FIELD_NUMBER
int DTYPE_FIELD_NUMBER
int SHAPE_FIELD_NUMBER
int VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER

Public Methods

boolean
equals(Object obj)
static FixedLenFeatureProto
getDefaultInstance()
FixedLenFeatureProto
getDefaultInstanceForType()
TensorProto
getDefaultValue()
.tensorflow.TensorProto default_value = 3;
TensorProtoOrBuilder
getDefaultValueOrBuilder()
.tensorflow.TensorProto default_value = 3;
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
DataType
getDtype()
.tensorflow.DataType dtype = 1;
int
getDtypeValue()
.tensorflow.DataType dtype = 1;
getParserForType()
int
getSerializedSize()
TensorShapeProto
getShape()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
getShapeOrBuilder()
.tensorflow.TensorShapeProto shape = 2;
final com.google.protobuf.UnknownFieldSet
getUnknownFields()
String
getValuesOutputTensorName()
string values_output_tensor_name = 4;
com.google.protobuf.ByteString
getValuesOutputTensorNameBytes()
string values_output_tensor_name = 4;
boolean
hasDefaultValue()
.tensorflow.TensorProto default_value = 3;
boolean
hasShape()
.tensorflow.TensorShapeProto shape = 2;
int
hashCode()
final boolean
isInitialized()
static FixedLenFeatureProto.Builder
newBuilder()
static FixedLenFeatureProto.Builder
newBuilder(FixedLenFeatureProto prototype)
FixedLenFeatureProto.Builder
newBuilderForType()
static FixedLenFeatureProto
parseDelimitedFrom(InputStream input)
static FixedLenFeatureProto
parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FixedLenFeatureProto
parseFrom(ByteBuffer data)
static FixedLenFeatureProto
parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FixedLenFeatureProto
parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FixedLenFeatureProto
parseFrom(com.google.protobuf.CodedInputStream input)
static FixedLenFeatureProto
parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FixedLenFeatureProto
parseFrom(com.google.protobuf.ByteString data)
static FixedLenFeatureProto
parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FixedLenFeatureProto
parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static
parser()
FixedLenFeatureProto.Builder
toBuilder()
void
writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

Constants

public static final int DEFAULT_VALUE_FIELD_NUMBER

Constant Value: 3

public static final int DTYPE_FIELD_NUMBER

Constant Value: 1

public static final int SHAPE_FIELD_NUMBER

Constant Value: 2

public static final int VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER

Constant Value: 4

Public Methods

public boolean equals (Object obj)

public static FixedLenFeatureProto getDefaultInstance ()

public FixedLenFeatureProto getDefaultInstanceForType ()

public TensorProto getDefaultValue ()

.tensorflow.TensorProto default_value = 3;

public TensorProtoOrBuilder getDefaultValueOrBuilder ()

.tensorflow.TensorProto default_value = 3;

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public getParserForType ()

public int getSerializedSize ()

public TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public String getValuesOutputTensorName ()

string values_output_tensor_name = 4;

public com.google.protobuf.ByteString getValuesOutputTensorNameBytes ()

string values_output_tensor_name = 4;

public boolean hasDefaultValue ()

.tensorflow.TensorProto default_value = 3;

public boolean hasShape ()

.tensorflow.TensorShapeProto shape = 2;

public int hashCode ()

public final boolean isInitialized ()

public static FixedLenFeatureProto.Builder newBuilder ()

public static FixedLenFeatureProto.Builder newBuilder (FixedLenFeatureProto prototype)

public FixedLenFeatureProto.Builder newBuilderForType ()

public static FixedLenFeatureProto parseDelimitedFrom (InputStream input)

Throws
IOException

public static FixedLenFeatureProto parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static FixedLenFeatureProto parseFrom (ByteBuffer data)

Throws
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static FixedLenFeatureProto parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (com.google.protobuf.CodedInputStream input)

Throws
IOException

public static FixedLenFeatureProto parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (com.google.protobuf.ByteString data)

Throws
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static FixedLenFeatureProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static parser ()

public FixedLenFeatureProto.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws
IOException