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:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classDimensions of a tensor.static final classOne dimension of the tensor.static interfaceNested 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.BuilderParentNested classes/interfaces inherited from class AbstractMessageLite
AbstractMessageLite.InternalOneOfEnum -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intstatic final intFields inherited from class GeneratedMessage
alwaysUseFieldBuilders, unknownFieldsFields inherited from class AbstractMessage
memoizedSizeFields inherited from class AbstractMessageLite
memoizedHashCode -
Method Summary
Modifier and TypeMethodDescriptionbooleanstatic TensorShapeProtostatic final Descriptors.DescriptorgetDim(int index) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.intDimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.getDimOrBuilder(int index) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.List<? extends TensorShapeProto.DimOrBuilder> Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.intbooleanIf true, the number of dimensions in the shape is unknown.inthashCode()protected GeneratedMessage.FieldAccessorTablefinal booleanstatic TensorShapeProto.Builderstatic TensorShapeProto.BuildernewBuilder(TensorShapeProto prototype) protected TensorShapeProto.Builderstatic TensorShapeProtoparseDelimitedFrom(InputStream input) static TensorShapeProtoparseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static TensorShapeProtoparseFrom(byte[] data) static TensorShapeProtoparseFrom(byte[] data, ExtensionRegistryLite extensionRegistry) static TensorShapeProtoparseFrom(ByteString data) static TensorShapeProtoparseFrom(ByteString data, ExtensionRegistryLite extensionRegistry) static TensorShapeProtoparseFrom(CodedInputStream input) static TensorShapeProtoparseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) static TensorShapeProtoparseFrom(InputStream input) static TensorShapeProtoparseFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static TensorShapeProtoparseFrom(ByteBuffer data) static TensorShapeProtoparseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry) static Parser<TensorShapeProto> parser()voidwriteTo(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, writeStringNoTagMethods inherited from class AbstractMessage
findInitializationErrors, getInitializationErrorString, hashFields, toStringMethods inherited from class AbstractMessageLite
addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
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Field Details
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DIM_FIELD_NUMBER
public static final int DIM_FIELD_NUMBER- See Also:
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UNKNOWN_RANK_FIELD_NUMBER
public static final int UNKNOWN_RANK_FIELD_NUMBER- See Also:
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Method Details
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getDescriptor
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internalGetFieldAccessorTable
- Specified by:
internalGetFieldAccessorTablein classGeneratedMessage
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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:
getDimListin interfaceTensorShapeProtoOrBuilder
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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:
getDimOrBuilderListin interfaceTensorShapeProtoOrBuilder
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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:
getDimCountin interfaceTensorShapeProtoOrBuilder
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getDim
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:
getDimin interfaceTensorShapeProtoOrBuilder
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getDimOrBuilder
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:
getDimOrBuilderin interfaceTensorShapeProtoOrBuilder
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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:
getUnknownRankin interfaceTensorShapeProtoOrBuilder- Returns:
- The unknownRank.
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfaceMessageLiteOrBuilder- Overrides:
isInitializedin classGeneratedMessage
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writeTo
- Specified by:
writeToin interfaceMessageLite- Overrides:
writeToin classGeneratedMessage- Throws:
IOException
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getSerializedSize
public int getSerializedSize()- Specified by:
getSerializedSizein interfaceMessageLite- Overrides:
getSerializedSizein classGeneratedMessage
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equals
- Specified by:
equalsin interfaceMessage- Overrides:
equalsin classAbstractMessage
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hashCode
public int hashCode()- Specified by:
hashCodein interfaceMessage- Overrides:
hashCodein classAbstractMessage
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parseFrom
- Throws:
InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry) throws InvalidProtocolBufferException - Throws:
InvalidProtocolBufferException
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parseFrom
- Throws:
InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry) throws InvalidProtocolBufferException - Throws:
InvalidProtocolBufferException
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parseFrom
- Throws:
InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry) throws InvalidProtocolBufferException - Throws:
InvalidProtocolBufferException
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parseFrom
- Throws:
IOException
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parseFrom
public static TensorShapeProto parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseDelimitedFrom
- Throws:
IOException
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parseDelimitedFrom
public static TensorShapeProto parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseFrom
- Throws:
IOException
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parseFrom
public static TensorShapeProto parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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newBuilderForType
- Specified by:
newBuilderForTypein interfaceMessage- Specified by:
newBuilderForTypein interfaceMessageLite
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newBuilder
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newBuilder
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toBuilder
- Specified by:
toBuilderin interfaceMessage- Specified by:
toBuilderin interfaceMessageLite
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newBuilderForType
- Overrides:
newBuilderForTypein classAbstractMessage
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getDefaultInstance
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parser
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getParserForType
- Specified by:
getParserForTypein interfaceMessage- Specified by:
getParserForTypein interfaceMessageLite- Overrides:
getParserForTypein classGeneratedMessage
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfaceMessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfaceMessageOrBuilder
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