Package onnx

Class Onnx.SparseTensorProto

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
onnx.Onnx.SparseTensorProto
All Implemented Interfaces:
com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable, Onnx.SparseTensorProtoOrBuilder
Enclosing class:
Onnx

public static final class Onnx.SparseTensorProto extends com.google.protobuf.GeneratedMessageV3 implements Onnx.SparseTensorProtoOrBuilder
 A serialized sparse-tensor value
 
Protobuf type onnx.SparseTensorProto
See Also:
  • Nested Class Summary

    Nested Classes
    Modifier and Type
    Class
    Description
    static final class 
    A serialized sparse-tensor value

    Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

    com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

    Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

    com.google.protobuf.AbstractMessageLite.InternalOneOfEnum
  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final int
     
    static final int
     
    static final com.google.protobuf.Parser<Onnx.SparseTensorProto>
    Deprecated.
    static final int
     

    Fields inherited from class com.google.protobuf.GeneratedMessageV3

    alwaysUseFieldBuilders, unknownFields

    Fields inherited from class com.google.protobuf.AbstractMessage

    memoizedSize

    Fields inherited from class com.google.protobuf.AbstractMessageLite

    memoizedHashCode
  • Method Summary

    Modifier and Type
    Method
    Description
    boolean
     
     
     
    static final com.google.protobuf.Descriptors.Descriptor
     
    long
    getDims(int index)
    The shape of the underlying dense-tensor: [dim_1, dim_2, ...
    int
    The shape of the underlying dense-tensor: [dim_1, dim_2, ...
    The shape of the underlying dense-tensor: [dim_1, dim_2, ...
    The indices of the non-default values, which may be stored in one of two formats.
    The indices of the non-default values, which may be stored in one of two formats.
    com.google.protobuf.Parser<Onnx.SparseTensorProto>
     
    int
     
    The sequence of non-default values are encoded as a tensor of shape [NNZ].
    The sequence of non-default values are encoded as a tensor of shape [NNZ].
    int
     
    boolean
    The indices of the non-default values, which may be stored in one of two formats.
    boolean
    The sequence of non-default values are encoded as a tensor of shape [NNZ].
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
     
    final boolean
     
     
     
     
    newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
     
    protected Object
    newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
     
     
    parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    parseFrom(byte[] data)
     
    parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    parseFrom(com.google.protobuf.ByteString data)
     
    parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    parseFrom(com.google.protobuf.CodedInputStream input)
     
    parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
     
    parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
     
    parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static com.google.protobuf.Parser<Onnx.SparseTensorProto>
     
     
    void
    writeTo(com.google.protobuf.CodedOutputStream output)
     

    Methods inherited from class com.google.protobuf.GeneratedMessageV3

    canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

    Methods inherited from class com.google.protobuf.AbstractMessage

    findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

    Methods inherited from class com.google.protobuf.AbstractMessageLite

    addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

    Methods inherited from class java.lang.Object

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

    Methods inherited from interface com.google.protobuf.MessageLite

    toByteArray, toByteString, writeDelimitedTo, writeTo

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
  • Field Details

  • Method Details

    • newInstance

      protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
      Overrides:
      newInstance in class com.google.protobuf.GeneratedMessageV3
    • getDescriptor

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

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3
    • hasValues

      public boolean hasValues()
       The sequence of non-default values are encoded as a tensor of shape [NNZ].
       The default-value is zero for numeric tensors, and empty-string for string tensors.
       values must have a non-empty name present which serves as a name for SparseTensorProto
       when used in sparse_initializer list.
       
      optional .onnx.TensorProto values = 1;
      Specified by:
      hasValues in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      Whether the values field is set.
    • getValues

      public Onnx.TensorProto getValues()
       The sequence of non-default values are encoded as a tensor of shape [NNZ].
       The default-value is zero for numeric tensors, and empty-string for string tensors.
       values must have a non-empty name present which serves as a name for SparseTensorProto
       when used in sparse_initializer list.
       
      optional .onnx.TensorProto values = 1;
      Specified by:
      getValues in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      The values.
    • getValuesOrBuilder

      public Onnx.TensorProtoOrBuilder getValuesOrBuilder()
       The sequence of non-default values are encoded as a tensor of shape [NNZ].
       The default-value is zero for numeric tensors, and empty-string for string tensors.
       values must have a non-empty name present which serves as a name for SparseTensorProto
       when used in sparse_initializer list.
       
      optional .onnx.TensorProto values = 1;
      Specified by:
      getValuesOrBuilder in interface Onnx.SparseTensorProtoOrBuilder
    • hasIndices

      public boolean hasIndices()
       The indices of the non-default values, which may be stored in one of two formats.
       (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value
       corresponding to the j-th index of the i-th value (in the values tensor).
       (b) Indices can be a tensor of shape [NNZ], in which case the i-th value
       must be the linearized-index of the i-th value (in the values tensor).
       The linearized-index can be converted into an index tuple (k_1,...,k_rank)
       using the shape provided below.
       The indices must appear in ascending order without duplication.
       In the first format, the ordering is lexicographic-ordering:
       e.g., index-value [1,4] must appear before [2,1]
       
      optional .onnx.TensorProto indices = 2;
      Specified by:
      hasIndices in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      Whether the indices field is set.
    • getIndices

      public Onnx.TensorProto getIndices()
       The indices of the non-default values, which may be stored in one of two formats.
       (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value
       corresponding to the j-th index of the i-th value (in the values tensor).
       (b) Indices can be a tensor of shape [NNZ], in which case the i-th value
       must be the linearized-index of the i-th value (in the values tensor).
       The linearized-index can be converted into an index tuple (k_1,...,k_rank)
       using the shape provided below.
       The indices must appear in ascending order without duplication.
       In the first format, the ordering is lexicographic-ordering:
       e.g., index-value [1,4] must appear before [2,1]
       
      optional .onnx.TensorProto indices = 2;
      Specified by:
      getIndices in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      The indices.
    • getIndicesOrBuilder

      public Onnx.TensorProtoOrBuilder getIndicesOrBuilder()
       The indices of the non-default values, which may be stored in one of two formats.
       (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value
       corresponding to the j-th index of the i-th value (in the values tensor).
       (b) Indices can be a tensor of shape [NNZ], in which case the i-th value
       must be the linearized-index of the i-th value (in the values tensor).
       The linearized-index can be converted into an index tuple (k_1,...,k_rank)
       using the shape provided below.
       The indices must appear in ascending order without duplication.
       In the first format, the ordering is lexicographic-ordering:
       e.g., index-value [1,4] must appear before [2,1]
       
      optional .onnx.TensorProto indices = 2;
      Specified by:
      getIndicesOrBuilder in interface Onnx.SparseTensorProtoOrBuilder
    • getDimsList

      public List<Long> getDimsList()
       The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
       
      repeated int64 dims = 3;
      Specified by:
      getDimsList in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      A list containing the dims.
    • getDimsCount

      public int getDimsCount()
       The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
       
      repeated int64 dims = 3;
      Specified by:
      getDimsCount in interface Onnx.SparseTensorProtoOrBuilder
      Returns:
      The count of dims.
    • getDims

      public long getDims(int index)
       The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
       
      repeated int64 dims = 3;
      Specified by:
      getDims in interface Onnx.SparseTensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The dims at the given index.
    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3
    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessageV3
      Throws:
      IOException
    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessageV3
    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage
    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(InputStream input) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • parseDelimitedFrom

      public static Onnx.SparseTensorProto parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException
    • parseDelimitedFrom

      public static Onnx.SparseTensorProto parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • newBuilderForType

      public Onnx.SparseTensorProto.Builder newBuilderForType()
      Specified by:
      newBuilderForType in interface com.google.protobuf.Message
      Specified by:
      newBuilderForType in interface com.google.protobuf.MessageLite
    • newBuilder

      public static Onnx.SparseTensorProto.Builder newBuilder()
    • newBuilder

      public static Onnx.SparseTensorProto.Builder newBuilder(Onnx.SparseTensorProto prototype)
    • toBuilder

      public Onnx.SparseTensorProto.Builder toBuilder()
      Specified by:
      toBuilder in interface com.google.protobuf.Message
      Specified by:
      toBuilder in interface com.google.protobuf.MessageLite
    • newBuilderForType

      protected Onnx.SparseTensorProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
      Specified by:
      newBuilderForType in class com.google.protobuf.GeneratedMessageV3
    • getDefaultInstance

      public static Onnx.SparseTensorProto getDefaultInstance()
    • parser

      public static com.google.protobuf.Parser<Onnx.SparseTensorProto> parser()
    • getParserForType

      public com.google.protobuf.Parser<Onnx.SparseTensorProto> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessageV3
    • getDefaultInstanceForType

      public Onnx.SparseTensorProto getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder