Class OnnxMl.SparseTensorProto

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
ai.onnx.proto.OnnxMl.SparseTensorProto
All Implemented Interfaces:
OnnxMl.SparseTensorProtoOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
Enclosing class:
OnnxMl
public static final class OnnxMl.SparseTensorProto extends com.google.protobuf.GeneratedMessageV3 implements OnnxMl.SparseTensorProtoOrBuilder
 A serialized sparse-tensor value
Protobuf type onnx.SparseTensorProto
See Also:

  • Field Details

  • Method Details

    • newInstance

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

    • getUnknownFields

      public final com.google.protobuf.UnknownFieldSet getUnknownFields()
      Specified by:
      getUnknownFields in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getUnknownFields 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 OnnxMl.SparseTensorProtoOrBuilder
      Returns:
      Whether the values field is set.

    • getValues

      public OnnxMl.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 OnnxMl.SparseTensorProtoOrBuilder
      Returns:
      The values.

    • getValuesOrBuilder

      public OnnxMl.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 OnnxMl.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 OnnxMl.SparseTensorProtoOrBuilder
      Returns:
      Whether the indices field is set.

    • getIndices

      public OnnxMl.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 OnnxMl.SparseTensorProtoOrBuilder
      Returns:
      The indices.

    • getIndicesOrBuilder

      public OnnxMl.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 OnnxMl.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 OnnxMl.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 OnnxMl.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 OnnxMl.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 OnnxMl.SparseTensorProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseDelimitedFrom

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

    • parseDelimitedFrom

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

    • parseFrom

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

    • parseFrom

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

    • newBuilderForType

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

    • newBuilder

      public static OnnxMl.SparseTensorProto.Builder newBuilder()

    • newBuilder

      public static OnnxMl.SparseTensorProto.Builder newBuilder(OnnxMl.SparseTensorProto prototype)

    • toBuilder

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

    • newBuilderForType

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

    • getDefaultInstance

      public static OnnxMl.SparseTensorProto getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<OnnxMl.SparseTensorProto> parser()

    • getParserForType

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