Class OnnxMl.TensorProto

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
ai.onnx.proto.OnnxMl.TensorProto
All Implemented Interfaces:
OnnxMl.TensorProtoOrBuilder, 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.TensorProto extends com.google.protobuf.GeneratedMessageV3 implements OnnxMl.TensorProtoOrBuilder
 Tensors
 A serialized tensor value.
Protobuf type onnx.TensorProto
See Also:

  • Nested Class Summary

    Nested Classes
    Modifier and Type
    Class
    Description
    static final class 
    OnnxMl.TensorProto.Builder
    Tensors A serialized tensor value.
    static enum 
    OnnxMl.TensorProto.DataLocation
    Location of the data for this tensor.
    static enum 
    OnnxMl.TensorProto.DataType
    Protobuf enum onnx.TensorProto.DataType
    static final class 
    OnnxMl.TensorProto.Segment
    For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
    static interface 
    OnnxMl.TensorProto.SegmentOrBuilder
     

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

    com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage, BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType, BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, 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
    DATA_LOCATION_FIELD_NUMBER
     
    static final int
    DATA_TYPE_FIELD_NUMBER
     
    static final int
    DIMS_FIELD_NUMBER
     
    static final int
    DOC_STRING_FIELD_NUMBER
     
    static final int
    DOUBLE_DATA_FIELD_NUMBER
     
    static final int
    EXTERNAL_DATA_FIELD_NUMBER
     
    static final int
    FLOAT_DATA_FIELD_NUMBER
     
    static final int
    INT32_DATA_FIELD_NUMBER
     
    static final int
    INT64_DATA_FIELD_NUMBER
     
    static final int
    NAME_FIELD_NUMBER
     
    static final com.google.protobuf.Parser<OnnxMl.TensorProto>
    PARSER
    Deprecated.
    static final int
    RAW_DATA_FIELD_NUMBER
     
    static final int
    SEGMENT_FIELD_NUMBER
     
    static final int
    STRING_DATA_FIELD_NUMBER
     
    static final int
    UINT64_DATA_FIELD_NUMBER
     

    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
    equals(Object obj)
     
    OnnxMl.TensorProto.DataLocation
    getDataLocation()
    If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
    int
    getDataType()
    The data type of the tensor.
    static OnnxMl.TensorProto
    getDefaultInstance()
     
    OnnxMl.TensorProto
    getDefaultInstanceForType()
     
    static final com.google.protobuf.Descriptors.Descriptor
    getDescriptor()
     
    long
    getDims(int index)
    The shape of the tensor.
    int
    getDimsCount()
    The shape of the tensor.
    List<Long>
    getDimsList()
    The shape of the tensor.
    String
    getDocString()
    A human-readable documentation for this tensor.
    com.google.protobuf.ByteString
    getDocStringBytes()
    A human-readable documentation for this tensor.
    double
    getDoubleData(int index)
    For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    int
    getDoubleDataCount()
    For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    List<Double>
    getDoubleDataList()
    For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    OnnxMl.StringStringEntryProto
    getExternalData(int index)
    Data can be stored inside the protobuf file using type-specific fields or raw_data.
    int
    getExternalDataCount()
    Data can be stored inside the protobuf file using type-specific fields or raw_data.
    List<OnnxMl.StringStringEntryProto>
    getExternalDataList()
    Data can be stored inside the protobuf file using type-specific fields or raw_data.
    OnnxMl.StringStringEntryProtoOrBuilder
    getExternalDataOrBuilder(int index)
    Data can be stored inside the protobuf file using type-specific fields or raw_data.
    List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
    getExternalDataOrBuilderList()
    Data can be stored inside the protobuf file using type-specific fields or raw_data.
    float
    getFloatData(int index)
    For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    int
    getFloatDataCount()
    For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    List<Float>
    getFloatDataList()
    For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
    int
    getInt32Data(int index)
    For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
    int
    getInt32DataCount()
    For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
    List<Integer>
    getInt32DataList()
    For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
    long
    getInt64Data(int index)
    For int64.
    int
    getInt64DataCount()
    For int64.
    List<Long>
    getInt64DataList()
    For int64.
    String
    getName()
    Optionally, a name for the tensor.
    com.google.protobuf.ByteString
    getNameBytes()
    Optionally, a name for the tensor.
    com.google.protobuf.Parser<OnnxMl.TensorProto>
    getParserForType()
     
    com.google.protobuf.ByteString
    getRawData()
    Serializations can either use one of the fields above, or use this raw bytes field.
    OnnxMl.TensorProto.Segment
    getSegment()
    optional .onnx.TensorProto.Segment segment = 3;
    OnnxMl.TensorProto.SegmentOrBuilder
    getSegmentOrBuilder()
    optional .onnx.TensorProto.Segment segment = 3;
    int
    getSerializedSize()
     
    com.google.protobuf.ByteString
    getStringData(int index)
    For strings.
    int
    getStringDataCount()
    For strings.
    List<com.google.protobuf.ByteString>
    getStringDataList()
    For strings.
    long
    getUint64Data(int index)
    For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
    int
    getUint64DataCount()
    For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
    List<Long>
    getUint64DataList()
    For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
    final com.google.protobuf.UnknownFieldSet
    getUnknownFields()
     
    boolean
    hasDataLocation()
    If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
    boolean
    hasDataType()
    The data type of the tensor.
    boolean
    hasDocString()
    A human-readable documentation for this tensor.
    int
    hashCode()
     
    boolean
    hasName()
    Optionally, a name for the tensor.
    boolean
    hasRawData()
    Serializations can either use one of the fields above, or use this raw bytes field.
    boolean
    hasSegment()
    optional .onnx.TensorProto.Segment segment = 3;
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
    internalGetFieldAccessorTable()
     
    final boolean
    isInitialized()
     
    static OnnxMl.TensorProto.Builder
    newBuilder()
     
    static OnnxMl.TensorProto.Builder
    newBuilder(OnnxMl.TensorProto prototype)
     
    OnnxMl.TensorProto.Builder
    newBuilderForType()
     
    protected OnnxMl.TensorProto.Builder
    newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
     
    protected Object
    newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
     
    static OnnxMl.TensorProto
    parseDelimitedFrom(InputStream input)
     
    static OnnxMl.TensorProto
    parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static OnnxMl.TensorProto
    parseFrom(byte[] data)
     
    static OnnxMl.TensorProto
    parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static OnnxMl.TensorProto
    parseFrom(com.google.protobuf.ByteString data)
     
    static OnnxMl.TensorProto
    parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static OnnxMl.TensorProto
    parseFrom(com.google.protobuf.CodedInputStream input)
     
    static OnnxMl.TensorProto
    parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static OnnxMl.TensorProto
    parseFrom(InputStream input)
     
    static OnnxMl.TensorProto
    parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static OnnxMl.TensorProto
    parseFrom(ByteBuffer data)
     
    static OnnxMl.TensorProto
    parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static com.google.protobuf.Parser<OnnxMl.TensorProto>
    parser()
     
    OnnxMl.TensorProto.Builder
    toBuilder()
     
    void
    writeTo(com.google.protobuf.CodedOutputStream output)
     

    Methods inherited from class com.google.protobuf.GeneratedMessageV3

    canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, 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, hasField, hasOneof

  • 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

    • getDimsList

      public List<Long> getDimsList()
       The shape of the tensor.
      repeated int64 dims = 1;
      Specified by:
      getDimsList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the dims.

    • getDimsCount

      public int getDimsCount()
       The shape of the tensor.
      repeated int64 dims = 1;
      Specified by:
      getDimsCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of dims.

    • getDims

      public long getDims(int index)
       The shape of the tensor.
      repeated int64 dims = 1;
      Specified by:
      getDims in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The dims at the given index.

    • hasDataType

      public boolean hasDataType()
       The data type of the tensor.
 This field MUST have a valid TensorProto.DataType value
      optional int32 data_type = 2;
      Specified by:
      hasDataType in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the dataType field is set.

    • getDataType

      public int getDataType()
       The data type of the tensor.
 This field MUST have a valid TensorProto.DataType value
      optional int32 data_type = 2;
      Specified by:
      getDataType in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The dataType.

    • hasSegment

      public boolean hasSegment()
      optional .onnx.TensorProto.Segment segment = 3;
      Specified by:
      hasSegment in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the segment field is set.

    • getSegment

      public OnnxMl.TensorProto.Segment getSegment()
      optional .onnx.TensorProto.Segment segment = 3;
      Specified by:
      getSegment in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The segment.

    • getSegmentOrBuilder

      public OnnxMl.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
      optional .onnx.TensorProto.Segment segment = 3;
      Specified by:
      getSegmentOrBuilder in interface OnnxMl.TensorProtoOrBuilder

    • getFloatDataList

      public List<Float> getFloatDataList()
       For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
      repeated float float_data = 4 [packed = true];
      Specified by:
      getFloatDataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the floatData.

    • getFloatDataCount

      public int getFloatDataCount()
       For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
      repeated float float_data = 4 [packed = true];
      Specified by:
      getFloatDataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of floatData.

    • getFloatData

      public float getFloatData(int index)
       For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
      repeated float float_data = 4 [packed = true];
      Specified by:
      getFloatData in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The floatData at the given index.

    • getInt32DataList

      public List<Integer> getInt32DataList()
       For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
      repeated int32 int32_data = 5 [packed = true];
      Specified by:
      getInt32DataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the int32Data.

    • getInt32DataCount

      public int getInt32DataCount()
       For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
      repeated int32 int32_data = 5 [packed = true];
      Specified by:
      getInt32DataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of int32Data.

    • getInt32Data

      public int getInt32Data(int index)
       For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
      repeated int32 int32_data = 5 [packed = true];
      Specified by:
      getInt32Data in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The int32Data at the given index.

    • getStringDataList

      public List<com.google.protobuf.ByteString> getStringDataList()
       For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
      repeated bytes string_data = 6;
      Specified by:
      getStringDataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the stringData.

    • getStringDataCount

      public int getStringDataCount()
       For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
      repeated bytes string_data = 6;
      Specified by:
      getStringDataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of stringData.

    • getStringData

      public com.google.protobuf.ByteString getStringData(int index)
       For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
      repeated bytes string_data = 6;
      Specified by:
      getStringData in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The stringData at the given index.

    • getInt64DataList

      public List<Long> getInt64DataList()
       For int64.
 When this field is present, the data_type field MUST be INT64
      repeated int64 int64_data = 7 [packed = true];
      Specified by:
      getInt64DataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the int64Data.

    • getInt64DataCount

      public int getInt64DataCount()
       For int64.
 When this field is present, the data_type field MUST be INT64
      repeated int64 int64_data = 7 [packed = true];
      Specified by:
      getInt64DataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of int64Data.

    • getInt64Data

      public long getInt64Data(int index)
       For int64.
 When this field is present, the data_type field MUST be INT64
      repeated int64 int64_data = 7 [packed = true];
      Specified by:
      getInt64Data in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The int64Data at the given index.

    • hasName

      public boolean hasName()
       Optionally, a name for the tensor.
      optional string name = 8;
      Specified by:
      hasName in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the name field is set.

    • getName

      public String getName()
       Optionally, a name for the tensor.
      optional string name = 8;
      Specified by:
      getName in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The name.

    • getNameBytes

      public com.google.protobuf.ByteString getNameBytes()
       Optionally, a name for the tensor.
      optional string name = 8;
      Specified by:
      getNameBytes in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The bytes for name.

    • hasDocString

      public boolean hasDocString()
       A human-readable documentation for this tensor. Markdown is allowed.
      optional string doc_string = 12;
      Specified by:
      hasDocString in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the docString field is set.

    • getDocString

      public String getDocString()
       A human-readable documentation for this tensor. Markdown is allowed.
      optional string doc_string = 12;
      Specified by:
      getDocString in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The docString.

    • getDocStringBytes

      public com.google.protobuf.ByteString getDocStringBytes()
       A human-readable documentation for this tensor. Markdown is allowed.
      optional string doc_string = 12;
      Specified by:
      getDocStringBytes in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The bytes for docString.

    • hasRawData

      public boolean hasRawData()
       Serializations can either use one of the fields above, or use this
 raw bytes field. The only exception is the string case, where one is
 required to store the content in the repeated bytes string_data field.
 When this raw_data field is used to store tensor value, elements MUST
 be stored in as fixed-width, little-endian order.
 Floating-point data types MUST be stored in IEEE 754 format.
 Complex64 elements must be written as two consecutive FLOAT values, real component first.
 Complex128 elements must be written as two consecutive DOUBLE values, real component first.
 Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
 Note: the advantage of specific field rather than the raw_data field is
 that in some cases (e.g. int data), protobuf does a better packing via
 variable length storage, and may lead to smaller binary footprint.
 When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
      optional bytes raw_data = 9;
      Specified by:
      hasRawData in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the rawData field is set.

    • getRawData

      public com.google.protobuf.ByteString getRawData()
       Serializations can either use one of the fields above, or use this
 raw bytes field. The only exception is the string case, where one is
 required to store the content in the repeated bytes string_data field.
 When this raw_data field is used to store tensor value, elements MUST
 be stored in as fixed-width, little-endian order.
 Floating-point data types MUST be stored in IEEE 754 format.
 Complex64 elements must be written as two consecutive FLOAT values, real component first.
 Complex128 elements must be written as two consecutive DOUBLE values, real component first.
 Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
 Note: the advantage of specific field rather than the raw_data field is
 that in some cases (e.g. int data), protobuf does a better packing via
 variable length storage, and may lead to smaller binary footprint.
 When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
      optional bytes raw_data = 9;
      Specified by:
      getRawData in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The rawData.

    • getExternalDataList

      public List<OnnxMl.StringStringEntryProto> getExternalDataList()
       Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
      repeated .onnx.StringStringEntryProto external_data = 13;
      Specified by:
      getExternalDataList in interface OnnxMl.TensorProtoOrBuilder

    • getExternalDataOrBuilderList

      public List<? extends OnnxMl.StringStringEntryProtoOrBuilder> getExternalDataOrBuilderList()
       Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
      repeated .onnx.StringStringEntryProto external_data = 13;
      Specified by:
      getExternalDataOrBuilderList in interface OnnxMl.TensorProtoOrBuilder

    • getExternalDataCount

      public int getExternalDataCount()
       Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
      repeated .onnx.StringStringEntryProto external_data = 13;
      Specified by:
      getExternalDataCount in interface OnnxMl.TensorProtoOrBuilder

    • getExternalData

      public OnnxMl.StringStringEntryProto getExternalData(int index)
       Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
      repeated .onnx.StringStringEntryProto external_data = 13;
      Specified by:
      getExternalData in interface OnnxMl.TensorProtoOrBuilder

    • getExternalDataOrBuilder

      public OnnxMl.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(int index)
       Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
      repeated .onnx.StringStringEntryProto external_data = 13;
      Specified by:
      getExternalDataOrBuilder in interface OnnxMl.TensorProtoOrBuilder

    • hasDataLocation

      public boolean hasDataLocation()
       If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
      optional .onnx.TensorProto.DataLocation data_location = 14;
      Specified by:
      hasDataLocation in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      Whether the dataLocation field is set.

    • getDataLocation

      public OnnxMl.TensorProto.DataLocation getDataLocation()
       If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
      optional .onnx.TensorProto.DataLocation data_location = 14;
      Specified by:
      getDataLocation in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The dataLocation.

    • getDoubleDataList

      public List<Double> getDoubleDataList()
       For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
      repeated double double_data = 10 [packed = true];
      Specified by:
      getDoubleDataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the doubleData.

    • getDoubleDataCount

      public int getDoubleDataCount()
       For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
      repeated double double_data = 10 [packed = true];
      Specified by:
      getDoubleDataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of doubleData.

    • getDoubleData

      public double getDoubleData(int index)
       For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
      repeated double double_data = 10 [packed = true];
      Specified by:
      getDoubleData in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The doubleData at the given index.

    • getUint64DataList

      public List<Long> getUint64DataList()
       For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
      repeated uint64 uint64_data = 11 [packed = true];
      Specified by:
      getUint64DataList in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      A list containing the uint64Data.

    • getUint64DataCount

      public int getUint64DataCount()
       For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
      repeated uint64 uint64_data = 11 [packed = true];
      Specified by:
      getUint64DataCount in interface OnnxMl.TensorProtoOrBuilder
      Returns:
      The count of uint64Data.

    • getUint64Data

      public long getUint64Data(int index)
       For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
      repeated uint64 uint64_data = 11 [packed = true];
      Specified by:
      getUint64Data in interface OnnxMl.TensorProtoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The uint64Data 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.TensorProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseFrom

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

    • parseDelimitedFrom

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

    • parseDelimitedFrom

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

    • parseFrom

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

    • parseFrom

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

    • newBuilderForType

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

    • newBuilder

      public static OnnxMl.TensorProto.Builder newBuilder()

    • newBuilder

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

    • toBuilder

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

    • newBuilderForType

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

    • getDefaultInstance

      public static OnnxMl.TensorProto getDefaultInstance()

    • parser

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

    • getParserForType

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