Package ai.onnx.proto

Interface OnnxMl.TensorProtoOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
OnnxMl.TensorProto, OnnxMl.TensorProto.Builder
Enclosing class:
OnnxMl
public static interface OnnxMl.TensorProtoOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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.
    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.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;
    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
    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.
    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;

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getDimsList

      List<Long> getDimsList()
       The shape of the tensor.
      repeated int64 dims = 1;
      Returns:
      A list containing the dims.

    • getDimsCount

      int getDimsCount()
       The shape of the tensor.
      repeated int64 dims = 1;
      Returns:
      The count of dims.

    • getDims

      long getDims(int index)
       The shape of the tensor.
      repeated int64 dims = 1;
      Parameters:
      index - The index of the element to return.
      Returns:
      The dims at the given index.

    • hasDataType

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

    • getDataType

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

    • hasSegment

      boolean hasSegment()
      optional .onnx.TensorProto.Segment segment = 3;
      Returns:
      Whether the segment field is set.

    • getSegment

      OnnxMl.TensorProto.Segment getSegment()
      optional .onnx.TensorProto.Segment segment = 3;
      Returns:
      The segment.

    • getSegmentOrBuilder

      OnnxMl.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
      optional .onnx.TensorProto.Segment segment = 3;

    • getFloatDataList

      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];
      Returns:
      A list containing the floatData.

    • getFloatDataCount

      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];
      Returns:
      The count of floatData.

    • getFloatData

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The floatData at the given index.

    • getInt32DataList

      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];
      Returns:
      A list containing the int32Data.

    • getInt32DataCount

      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];
      Returns:
      The count of int32Data.

    • getInt32Data

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The int32Data at the given index.

    • getStringDataList

      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;
      Returns:
      A list containing the stringData.

    • getStringDataCount

      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;
      Returns:
      The count of stringData.

    • getStringData

      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;
      Parameters:
      index - The index of the element to return.
      Returns:
      The stringData at the given index.

    • getInt64DataList

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

    • getInt64DataCount

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

    • getInt64Data

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The int64Data at the given index.

    • hasName

      boolean hasName()
       Optionally, a name for the tensor.
      optional string name = 8;
      Returns:
      Whether the name field is set.

    • getName

      String getName()
       Optionally, a name for the tensor.
      optional string name = 8;
      Returns:
      The name.

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       Optionally, a name for the tensor.
      optional string name = 8;
      Returns:
      The bytes for name.

    • hasDocString

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

    • getDocString

      String getDocString()
       A human-readable documentation for this tensor. Markdown is allowed.
      optional string doc_string = 12;
      Returns:
      The docString.

    • getDocStringBytes

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

    • hasRawData

      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;
      Returns:
      Whether the rawData field is set.

    • getRawData

      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;
      Returns:
      The rawData.

    • getExternalDataList

      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;

    • getExternalData

      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;

    • getExternalDataCount

      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;

    • getExternalDataOrBuilderList

      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;

    • getExternalDataOrBuilder

      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;

    • hasDataLocation

      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;
      Returns:
      Whether the dataLocation field is set.

    • getDataLocation

      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;
      Returns:
      The dataLocation.

    • getDoubleDataList

      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];
      Returns:
      A list containing the doubleData.

    • getDoubleDataCount

      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];
      Returns:
      The count of doubleData.

    • getDoubleData

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The doubleData at the given index.

    • getUint64DataList

      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];
      Returns:
      A list containing the uint64Data.

    • getUint64DataCount

      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];
      Returns:
      The count of uint64Data.

    • getUint64Data

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The uint64Data at the given index.