Package onnx

Class Onnx.TensorProto

  • All Implemented Interfaces:
    com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable, Onnx.TensorProtoOrBuilder
    Enclosing class:
    Onnx
    public static final class Onnx.TensorProto
extends com.google.protobuf.GeneratedMessageV3
implements Onnx.TensorProtoOrBuilder
     Tensors
 A serialized tensor value.
    Protobuf type onnx.TensorProto
    See Also:
    Serialized Form

    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description
      static class  Onnx.TensorProto.Builder
      Tensors A serialized tensor value.
      static class  Onnx.TensorProto.DataType
      Protobuf enum onnx.TensorProto.DataType
      static class  Onnx.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  Onnx.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

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      boolean equals​(Object obj)  
      Onnx.TensorProto.DataType getDataType()
      The data type of the tensor.
      static Onnx.TensorProto getDefaultInstance()  
      Onnx.TensorProto getDefaultInstanceForType()  
      static 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 Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
      int getDoubleDataCount()
      For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
      List<Double> getDoubleDataList()
      For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
      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 apparing 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 apparing 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 apparing 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<Onnx.TensorProto> getParserForType()  
      com.google.protobuf.ByteString getRawData()
      Serializations can either use one of the fields above, or use this raw bytes field.
      Onnx.TensorProto.Segment getSegment()
      optional .onnx.TensorProto.Segment segment = 3;
      Onnx.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
      com.google.protobuf.UnknownFieldSet getUnknownFields()  
      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()  
      boolean isInitialized()  
      static Onnx.TensorProto.Builder newBuilder()  
      static Onnx.TensorProto.Builder newBuilder​(Onnx.TensorProto prototype)  
      Onnx.TensorProto.Builder newBuilderForType()  
      protected Onnx.TensorProto.Builder newBuilderForType​(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)  
      protected Object newInstance​(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)  
      static Onnx.TensorProto parseDelimitedFrom​(InputStream input)  
      static Onnx.TensorProto parseDelimitedFrom​(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static Onnx.TensorProto parseFrom​(byte[] data)  
      static Onnx.TensorProto parseFrom​(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static Onnx.TensorProto parseFrom​(com.google.protobuf.ByteString data)  
      static Onnx.TensorProto parseFrom​(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static Onnx.TensorProto parseFrom​(com.google.protobuf.CodedInputStream input)  
      static Onnx.TensorProto parseFrom​(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static Onnx.TensorProto parseFrom​(InputStream input)  
      static Onnx.TensorProto parseFrom​(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static Onnx.TensorProto parseFrom​(ByteBuffer data)  
      static Onnx.TensorProto parseFrom​(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)  
      static com.google.protobuf.Parser<Onnx.TensorProto> parser()  
      Onnx.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 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

    • Method Detail

      • 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

      • getDimsCount

        public int getDimsCount()
         The shape of the tensor.
        repeated int64 dims = 1;
        Specified by:
        getDimsCount in interface Onnx.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 Onnx.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.
        optional .onnx.TensorProto.DataType data_type = 2;
        Specified by:
        hasDataType in interface Onnx.TensorProtoOrBuilder
        Returns:
        Whether the dataType field is set.

      • hasSegment

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

      • 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 apparing 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 Onnx.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 apparing 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 Onnx.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 apparing 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 Onnx.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, INT8, BOOL, or FLOAT32
        repeated int32 int32_data = 5 [packed = true];
        Specified by:
        getInt32DataList in interface Onnx.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, INT8, BOOL, or FLOAT32
        repeated int32 int32_data = 5 [packed = true];
        Specified by:
        getInt32DataCount in interface Onnx.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, INT8, BOOL, or FLOAT32
        repeated int32 int32_data = 5 [packed = true];
        Specified by:
        getInt32Data in interface Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.TensorProtoOrBuilder
        Returns:
        Whether the name field is set.

      • getNameBytes

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

      • getDoubleDataList

        public List<Double> getDoubleDataList()
         For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing 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 Onnx.TensorProtoOrBuilder
        Returns:
        A list containing the doubleData.

      • getDoubleDataCount

        public int getDoubleDataCount()
         For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing 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 Onnx.TensorProtoOrBuilder
        Returns:
        The count of doubleData.

      • getDoubleData

        public double getDoubleData​(int index)
         For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing 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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.TensorProto parseFrom​(ByteBuffer data)
                                  throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

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

      • parseFrom

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

      • parseFrom

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

      • parseFrom

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

      • parseFrom

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

      • newBuilderForType

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

      • toBuilder

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

      • newBuilderForType

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

      • getParserForType

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