Package org.tensorflow.framework

Class TensorShapeProto

  • All Implemented Interfaces:
    Serializable, org.nd4j.shade.protobuf.Message, org.nd4j.shade.protobuf.MessageLite, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder, TensorShapeProtoOrBuilder
    public final class TensorShapeProto
extends org.nd4j.shade.protobuf.GeneratedMessageV3
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 class  TensorShapeProto.Builder
      Dimensions of a tensor.
      static class  TensorShapeProto.Dim
      One dimension of the tensor.
      static interface  TensorShapeProto.DimOrBuilder  

      • Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

        org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,​BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,​BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter

      • Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

        org.nd4j.shade.protobuf.AbstractMessageLite.InternalOneOfEnum

    • Field Summary

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

      • Fields inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

        alwaysUseFieldBuilders, unknownFields

      • Fields inherited from class org.nd4j.shade.protobuf.AbstractMessage

        memoizedSize

      • Fields inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

        memoizedHashCode

    • Method Detail

      • newInstance

        protected Object newInstance​(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
        Overrides:
        newInstance in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • getUnknownFields

        public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
        Specified by:
        getUnknownFields in interface org.nd4j.shade.protobuf.MessageOrBuilder
        Overrides:
        getUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • getDescriptor

        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • 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 org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • writeTo

        public void writeTo​(org.nd4j.shade.protobuf.CodedOutputStream output)
             throws IOException
        Specified by:
        writeTo in interface org.nd4j.shade.protobuf.MessageLite
        Overrides:
        writeTo in class org.nd4j.shade.protobuf.GeneratedMessageV3
        Throws:
        IOException

      • getSerializedSize

        public int getSerializedSize()
        Specified by:
        getSerializedSize in interface org.nd4j.shade.protobuf.MessageLite
        Overrides:
        getSerializedSize in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • equals

        public boolean equals​(Object obj)
        Specified by:
        equals in interface org.nd4j.shade.protobuf.Message
        Overrides:
        equals in class org.nd4j.shade.protobuf.AbstractMessage

      • hashCode

        public int hashCode()
        Specified by:
        hashCode in interface org.nd4j.shade.protobuf.Message
        Overrides:
        hashCode in class org.nd4j.shade.protobuf.AbstractMessage

      • parseFrom

        public static TensorShapeProto parseFrom​(ByteBuffer data)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(ByteBuffer data,
                                         org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(org.nd4j.shade.protobuf.ByteString data)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(org.nd4j.shade.protobuf.ByteString data,
                                         org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(byte[] data)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(byte[] data,
                                         org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
        Throws:
        org.nd4j.shade.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static TensorShapeProto parseFrom​(org.nd4j.shade.protobuf.CodedInputStream input,
                                         org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws IOException
        Throws:
        IOException

      • newBuilderForType

        public TensorShapeProto.Builder newBuilderForType()
        Specified by:
        newBuilderForType in interface org.nd4j.shade.protobuf.Message
        Specified by:
        newBuilderForType in interface org.nd4j.shade.protobuf.MessageLite

      • toBuilder

        public TensorShapeProto.Builder toBuilder()
        Specified by:
        toBuilder in interface org.nd4j.shade.protobuf.Message
        Specified by:
        toBuilder in interface org.nd4j.shade.protobuf.MessageLite

      • newBuilderForType

        protected TensorShapeProto.Builder newBuilderForType​(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
        Specified by:
        newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • parser

        public static org.nd4j.shade.protobuf.Parser<TensorShapeProto> parser()

      • getParserForType

        public org.nd4j.shade.protobuf.Parser<TensorShapeProto> getParserForType()
        Specified by:
        getParserForType in interface org.nd4j.shade.protobuf.Message
        Specified by:
        getParserForType in interface org.nd4j.shade.protobuf.MessageLite
        Overrides:
        getParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

      • getDefaultInstanceForType

        public TensorShapeProto getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder