Class TensorShapeProto

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessage

org.tensorflow.proto.TensorShapeProto

All Implemented Interfaces:

Message, MessageLite, MessageLiteOrBuilder, MessageOrBuilder, Serializable, TensorShapeProtoOrBuilder

@Generated
public final class TensorShapeProto
extends GeneratedMessage
implements TensorShapeProtoOrBuilder

Dimensions of a tensor.

Protobuf type tensorflow.TensorShapeProto

See Also:

• Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	TensorShapeProto.Builder	Dimensions of a tensor.
static final class	TensorShapeProto.Dim	One dimension of the tensor.
static interface	TensorShapeProto.DimOrBuilder

Nested classes/interfaces inherited from class GeneratedMessage

GeneratedMessage.ExtendableBuilder<MessageT,BuilderT>, GeneratedMessage.ExtendableMessage<MessageT>, GeneratedMessage.ExtendableMessageOrBuilder<MessageT>, GeneratedMessage.FieldAccessorTable, GeneratedMessage.GeneratedExtension<ContainingT, T>, GeneratedMessage.UnusedPrivateParameter

Nested classes/interfaces inherited from class AbstractMessage

AbstractMessage.BuilderParent

Nested classes/interfaces inherited from class AbstractMessageLite

AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field	Description
static final int	DIM_FIELD_NUMBER
static final int	UNKNOWN_RANK_FIELD_NUMBER

Fields inherited from class GeneratedMessage

alwaysUseFieldBuilders, unknownFields

Fields inherited from class AbstractMessage

memoizedSize

Fields inherited from class AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method	Description
boolean	equals(Object obj)
static TensorShapeProto	getDefaultInstance()
TensorShapeProto	getDefaultInstanceForType()
static final Descriptors.Descriptor	getDescriptor()
TensorShapeProto.Dim	getDim(int index)	Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
int	getDimCount()	Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
List<TensorShapeProto.Dim>	getDimList()	Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder	getDimOrBuilder(int index)	Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
List<? extends TensorShapeProto.DimOrBuilder>	getDimOrBuilderList()	Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Parser<TensorShapeProto>	getParserForType()
int	getSerializedSize()
boolean	getUnknownRank()	If true, the number of dimensions in the shape is unknown.
int	hashCode()
protected GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
static TensorShapeProto.Builder	newBuilder()
static TensorShapeProto.Builder	newBuilder(TensorShapeProto prototype)
TensorShapeProto.Builder	newBuilderForType()
protected TensorShapeProto.Builder	newBuilderForType(AbstractMessage.BuilderParent parent)
static TensorShapeProto	parseDelimitedFrom(InputStream input)
static TensorShapeProto	parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
static TensorShapeProto	parseFrom(byte[] data)
static TensorShapeProto	parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
static TensorShapeProto	parseFrom(ByteString data)
static TensorShapeProto	parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
static TensorShapeProto	parseFrom(CodedInputStream input)
static TensorShapeProto	parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
static TensorShapeProto	parseFrom(InputStream input)
static TensorShapeProto	parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
static TensorShapeProto	parseFrom(ByteBuffer data)
static TensorShapeProto	parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
static Parser<TensorShapeProto>	parser()
TensorShapeProto.Builder	toBuilder()
void	writeTo(CodedOutputStream output)

Methods inherited from class GeneratedMessage

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class AbstractMessage

findInitializationErrors, getInitializationErrorString, hashFields, toString

Methods inherited from class AbstractMessageLite

addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

DIM_FIELD_NUMBER

public static final int DIM_FIELD_NUMBER

See Also:

• Constant Field Values

UNKNOWN_RANK_FIELD_NUMBER

public static final int UNKNOWN_RANK_FIELD_NUMBER

See Also:

• Constant Field Values

Method Details

getDescriptor

public static final Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class GeneratedMessage

getDimList

public List<TensorShapeProto.Dim> getDimList()

Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.  If an entry has size -1, this
corresponds to a dimension of unknown size. The names are
optional.

The order of entries in "dim" matters: It indicates the layout of the
values in the tensor in-memory representation.

The first entry in "dim" is the outermost dimension used to layout the
values, the last entry is the innermost dimension.  This matches the
in-memory layout of RowMajor Eigen tensors.

If "dim.size()" > 0, "unknown_rank" must be false.

repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Specified by:

getDimList in interface TensorShapeProtoOrBuilder

getDimOrBuilderList

public List<? extends TensorShapeProto.DimOrBuilder> getDimOrBuilderList()

Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.  If an entry has size -1, this
corresponds to a dimension of unknown size. The names are
optional.

The order of entries in "dim" matters: It indicates the layout of the
values in the tensor in-memory representation.

The first entry in "dim" is the outermost dimension used to layout the
values, the last entry is the innermost dimension.  This matches the
in-memory layout of RowMajor Eigen tensors.

If "dim.size()" > 0, "unknown_rank" must be false.

repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Specified by:

getDimOrBuilderList in interface TensorShapeProtoOrBuilder

getDimCount

public int getDimCount()

Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.  If an entry has size -1, this
corresponds to a dimension of unknown size. The names are
optional.

The order of entries in "dim" matters: It indicates the layout of the
values in the tensor in-memory representation.

The first entry in "dim" is the outermost dimension used to layout the
values, the last entry is the innermost dimension.  This matches the
in-memory layout of RowMajor Eigen tensors.

If "dim.size()" > 0, "unknown_rank" must be false.

repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Specified by:

getDimCount in interface TensorShapeProtoOrBuilder

getDim

public TensorShapeProto.Dim getDim(int index)

Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.  If an entry has size -1, this
corresponds to a dimension of unknown size. The names are
optional.

The order of entries in "dim" matters: It indicates the layout of the
values in the tensor in-memory representation.

The first entry in "dim" is the outermost dimension used to layout the
values, the last entry is the innermost dimension.  This matches the
in-memory layout of RowMajor Eigen tensors.

If "dim.size()" > 0, "unknown_rank" must be false.

repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Specified by:

getDim in interface TensorShapeProtoOrBuilder

getDimOrBuilder

public TensorShapeProto.DimOrBuilder getDimOrBuilder(int index)

Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.  If an entry has size -1, this
corresponds to a dimension of unknown size. The names are
optional.

The order of entries in "dim" matters: It indicates the layout of the
values in the tensor in-memory representation.

The first entry in "dim" is the outermost dimension used to layout the
values, the last entry is the innermost dimension.  This matches the
in-memory layout of RowMajor Eigen tensors.

If "dim.size()" > 0, "unknown_rank" must be false.

repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Specified by:

getDimOrBuilder in interface TensorShapeProtoOrBuilder

getUnknownRank

public boolean getUnknownRank()

If true, the number of dimensions in the shape is unknown.

If true, "dim.size()" must be 0.

bool unknown_rank = 3;

Specified by:

getUnknownRank in interface TensorShapeProtoOrBuilder

Returns:

The unknownRank.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface MessageLiteOrBuilder

Overrides:

isInitialized in class GeneratedMessage

writeTo

public void writeTo(CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface MessageLite

Overrides:

writeTo in class GeneratedMessage

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface MessageLite

Overrides:

getSerializedSize in class GeneratedMessage

equals

public boolean equals(Object obj)

Specified by:

equals in interface Message

Overrides:

equals in class AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface Message

Overrides:

hashCode in class AbstractMessage

parseFrom

public static TensorShapeProto parseFrom(ByteBuffer data)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(ByteBuffer data,
 ExtensionRegistryLite extensionRegistry)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(ByteString data)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(ByteString data,
 ExtensionRegistryLite extensionRegistry)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(byte[] data)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(byte[] data,
 ExtensionRegistryLite extensionRegistry)
                                  throws InvalidProtocolBufferException

Throws:

InvalidProtocolBufferException

parseFrom

public static TensorShapeProto parseFrom(InputStream input)
                                  throws IOException

Throws:

IOException

parseFrom

public static TensorShapeProto parseFrom(InputStream input,
 ExtensionRegistryLite extensionRegistry)
                                  throws IOException

Throws:

IOException

parseDelimitedFrom

public static TensorShapeProto parseDelimitedFrom(InputStream input)
                                           throws IOException

Throws:

IOException

parseDelimitedFrom

public static TensorShapeProto parseDelimitedFrom(InputStream input,
 ExtensionRegistryLite extensionRegistry)
                                           throws IOException

Throws:

IOException

parseFrom

public static TensorShapeProto parseFrom(CodedInputStream input)
                                  throws IOException

Throws:

IOException

parseFrom

public static TensorShapeProto parseFrom(CodedInputStream input,
 ExtensionRegistryLite extensionRegistry)
                                  throws IOException

Throws:

IOException

newBuilderForType

public TensorShapeProto.Builder newBuilderForType()

Specified by:

newBuilderForType in interface Message

Specified by:

newBuilderForType in interface MessageLite

newBuilder

public static TensorShapeProto.Builder newBuilder()

newBuilder

public static TensorShapeProto.Builder newBuilder(TensorShapeProto prototype)

toBuilder

public TensorShapeProto.Builder toBuilder()

Specified by:

toBuilder in interface Message

Specified by:

toBuilder in interface MessageLite

newBuilderForType

protected TensorShapeProto.Builder newBuilderForType(AbstractMessage.BuilderParent parent)

Overrides:

newBuilderForType in class AbstractMessage

getDefaultInstance

public static TensorShapeProto getDefaultInstance()

parser

public static Parser<TensorShapeProto> parser()

getParserForType

public Parser<TensorShapeProto> getParserForType()

Specified by:

getParserForType in interface Message

Specified by:

getParserForType in interface MessageLite

Overrides:

getParserForType in class GeneratedMessage

getDefaultInstanceForType

public TensorShapeProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface MessageOrBuilder