Package onnx
Class Onnx.TensorProto.Builder
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite.Builder
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- com.google.protobuf.AbstractMessage.Builder<BuilderType>
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- com.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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- onnx.Onnx.TensorProto.Builder
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- All Implemented Interfaces:
com.google.protobuf.Message.Builder
,com.google.protobuf.MessageLite.Builder
,com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
,java.lang.Cloneable
,Onnx.TensorProtoOrBuilder
- Enclosing class:
- Onnx.TensorProto
public static final class Onnx.TensorProto.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder> implements Onnx.TensorProtoOrBuilder
Tensors A serialized tensor value.
Protobuf typeonnx.TensorProto
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description Onnx.TensorProto.Builder
addAllDims(java.lang.Iterable<? extends java.lang.Long> values)
The shape of the tensor.Onnx.TensorProto.Builder
addAllDoubleData(java.lang.Iterable<? extends java.lang.Double> values)
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.Onnx.TensorProto.Builder
addAllFloatData(java.lang.Iterable<? extends java.lang.Float> values)
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.Onnx.TensorProto.Builder
addAllInt32Data(java.lang.Iterable<? extends java.lang.Integer> values)
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.Onnx.TensorProto.Builder
addAllInt64Data(java.lang.Iterable<? extends java.lang.Long> values)
For int64.Onnx.TensorProto.Builder
addAllStringData(java.lang.Iterable<? extends com.google.protobuf.ByteString> values)
For strings.Onnx.TensorProto.Builder
addAllUint64Data(java.lang.Iterable<? extends java.lang.Long> values)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64Onnx.TensorProto.Builder
addDims(long value)
The shape of the tensor.Onnx.TensorProto.Builder
addDoubleData(double value)
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.Onnx.TensorProto.Builder
addFloatData(float value)
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.Onnx.TensorProto.Builder
addInt32Data(int value)
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.Onnx.TensorProto.Builder
addInt64Data(long value)
For int64.Onnx.TensorProto.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
Onnx.TensorProto.Builder
addStringData(com.google.protobuf.ByteString value)
For strings.Onnx.TensorProto.Builder
addUint64Data(long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64Onnx.TensorProto
build()
Onnx.TensorProto
buildPartial()
Onnx.TensorProto.Builder
clear()
Onnx.TensorProto.Builder
clearDataType()
The data type of the tensor.Onnx.TensorProto.Builder
clearDims()
The shape of the tensor.Onnx.TensorProto.Builder
clearDocString()
A human-readable documentation for this tensor.Onnx.TensorProto.Builder
clearDoubleData()
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.Onnx.TensorProto.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
Onnx.TensorProto.Builder
clearFloatData()
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.Onnx.TensorProto.Builder
clearInt32Data()
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.Onnx.TensorProto.Builder
clearInt64Data()
For int64.Onnx.TensorProto.Builder
clearName()
Optionally, a name for the tensor.Onnx.TensorProto.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
Onnx.TensorProto.Builder
clearRawData()
Serializations can either use one of the fields above, or use this raw bytes field.Onnx.TensorProto.Builder
clearSegment()
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder
clearStringData()
For strings.Onnx.TensorProto.Builder
clearUint64Data()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64Onnx.TensorProto.Builder
clone()
Onnx.TensorProto.DataType
getDataType()
The data type of the tensor.Onnx.TensorProto
getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
long
getDims(int index)
The shape of the tensor.int
getDimsCount()
The shape of the tensor.java.util.List<java.lang.Long>
getDimsList()
The shape of the tensor.java.lang.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.java.util.List<java.lang.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.java.util.List<java.lang.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.java.util.List<java.lang.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.java.util.List<java.lang.Long>
getInt64DataList()
For int64.java.lang.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.Onnx.TensorProto.Segment
getSegment()
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Segment.Builder
getSegmentBuilder()
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.SegmentOrBuilder
getSegmentOrBuilder()
optional .onnx.TensorProto.Segment segment = 3;
com.google.protobuf.ByteString
getStringData(int index)
For strings.int
getStringDataCount()
For strings.java.util.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 UINT64int
getUint64DataCount()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64java.util.List<java.lang.Long>
getUint64DataList()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64boolean
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;
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
Onnx.TensorProto.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Onnx.TensorProto.Builder
mergeFrom(com.google.protobuf.Message other)
Onnx.TensorProto.Builder
mergeFrom(Onnx.TensorProto other)
Onnx.TensorProto.Builder
mergeSegment(Onnx.TensorProto.Segment value)
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Onnx.TensorProto.Builder
setDataType(Onnx.TensorProto.DataType value)
The data type of the tensor.Onnx.TensorProto.Builder
setDims(int index, long value)
The shape of the tensor.Onnx.TensorProto.Builder
setDocString(java.lang.String value)
A human-readable documentation for this tensor.Onnx.TensorProto.Builder
setDocStringBytes(com.google.protobuf.ByteString value)
A human-readable documentation for this tensor.Onnx.TensorProto.Builder
setDoubleData(int index, double value)
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.Onnx.TensorProto.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
Onnx.TensorProto.Builder
setFloatData(int index, float value)
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.Onnx.TensorProto.Builder
setInt32Data(int index, int value)
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.Onnx.TensorProto.Builder
setInt64Data(int index, long value)
For int64.Onnx.TensorProto.Builder
setName(java.lang.String value)
Optionally, a name for the tensor.Onnx.TensorProto.Builder
setNameBytes(com.google.protobuf.ByteString value)
Optionally, a name for the tensor.Onnx.TensorProto.Builder
setRawData(com.google.protobuf.ByteString value)
Serializations can either use one of the fields above, or use this raw bytes field.Onnx.TensorProto.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
Onnx.TensorProto.Builder
setSegment(Onnx.TensorProto.Segment value)
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder
setSegment(Onnx.TensorProto.Segment.Builder builderForValue)
optional .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder
setStringData(int index, com.google.protobuf.ByteString value)
For strings.Onnx.TensorProto.Builder
setUint64Data(int index, long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64Onnx.TensorProto.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3
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Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeFrom, newUninitializedMessageException
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Method Detail
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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clear
public Onnx.TensorProto.Builder clear()
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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getDefaultInstanceForType
public Onnx.TensorProto getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
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build
public Onnx.TensorProto build()
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
public Onnx.TensorProto buildPartial()
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
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clone
public Onnx.TensorProto.Builder clone()
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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setField
public Onnx.TensorProto.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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clearField
public Onnx.TensorProto.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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clearOneof
public Onnx.TensorProto.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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setRepeatedField
public Onnx.TensorProto.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
- Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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addRepeatedField
public Onnx.TensorProto.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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mergeFrom
public Onnx.TensorProto.Builder mergeFrom(com.google.protobuf.Message other)
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Onnx.TensorProto.Builder>
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mergeFrom
public Onnx.TensorProto.Builder mergeFrom(Onnx.TensorProto other)
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
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mergeFrom
public Onnx.TensorProto.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Onnx.TensorProto.Builder>
- Throws:
java.io.IOException
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getDimsList
public java.util.List<java.lang.Long> getDimsList()
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDimsList
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- A list containing the dims.
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getDimsCount
public int getDimsCount()
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDimsCount
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The count of dims.
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getDims
public long getDims(int index)
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDims
in interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The dims at the given index.
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setDims
public Onnx.TensorProto.Builder setDims(int index, long value)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
index
- The index to set the value at.value
- The dims to set.- Returns:
- This builder for chaining.
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addDims
public Onnx.TensorProto.Builder addDims(long value)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
value
- The dims to add.- Returns:
- This builder for chaining.
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addAllDims
public Onnx.TensorProto.Builder addAllDims(java.lang.Iterable<? extends java.lang.Long> values)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
values
- The dims to add.- Returns:
- This builder for chaining.
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clearDims
public Onnx.TensorProto.Builder clearDims()
The shape of the tensor.
repeated int64 dims = 1;
- Returns:
- This builder for chaining.
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hasDataType
public boolean hasDataType()
The data type of the tensor.
optional .onnx.TensorProto.DataType data_type = 2;
- Specified by:
hasDataType
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- Whether the dataType field is set.
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getDataType
public Onnx.TensorProto.DataType getDataType()
The data type of the tensor.
optional .onnx.TensorProto.DataType data_type = 2;
- Specified by:
getDataType
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The dataType.
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setDataType
public Onnx.TensorProto.Builder setDataType(Onnx.TensorProto.DataType value)
The data type of the tensor.
optional .onnx.TensorProto.DataType data_type = 2;
- Parameters:
value
- The dataType to set.- Returns:
- This builder for chaining.
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clearDataType
public Onnx.TensorProto.Builder clearDataType()
The data type of the tensor.
optional .onnx.TensorProto.DataType data_type = 2;
- Returns:
- This builder for chaining.
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hasSegment
public boolean hasSegment()
optional .onnx.TensorProto.Segment segment = 3;
- Specified by:
hasSegment
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- Whether the segment field is set.
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getSegment
public Onnx.TensorProto.Segment getSegment()
optional .onnx.TensorProto.Segment segment = 3;
- Specified by:
getSegment
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The segment.
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setSegment
public Onnx.TensorProto.Builder setSegment(Onnx.TensorProto.Segment value)
optional .onnx.TensorProto.Segment segment = 3;
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setSegment
public Onnx.TensorProto.Builder setSegment(Onnx.TensorProto.Segment.Builder builderForValue)
optional .onnx.TensorProto.Segment segment = 3;
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mergeSegment
public Onnx.TensorProto.Builder mergeSegment(Onnx.TensorProto.Segment value)
optional .onnx.TensorProto.Segment segment = 3;
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clearSegment
public Onnx.TensorProto.Builder clearSegment()
optional .onnx.TensorProto.Segment segment = 3;
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getSegmentBuilder
public Onnx.TensorProto.Segment.Builder getSegmentBuilder()
optional .onnx.TensorProto.Segment segment = 3;
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getSegmentOrBuilder
public Onnx.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
optional .onnx.TensorProto.Segment segment = 3;
- Specified by:
getSegmentOrBuilder
in interfaceOnnx.TensorProtoOrBuilder
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getFloatDataList
public java.util.List<java.lang.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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- A list containing the floatData.
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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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The count of floatData.
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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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The floatData at the given index.
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setFloatData
public Onnx.TensorProto.Builder setFloatData(int index, float value)
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];
- Parameters:
index
- The index to set the value at.value
- The floatData to set.- Returns:
- This builder for chaining.
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addFloatData
public Onnx.TensorProto.Builder addFloatData(float value)
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];
- Parameters:
value
- The floatData to add.- Returns:
- This builder for chaining.
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addAllFloatData
public Onnx.TensorProto.Builder addAllFloatData(java.lang.Iterable<? extends java.lang.Float> values)
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];
- Parameters:
values
- The floatData to add.- Returns:
- This builder for chaining.
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clearFloatData
public Onnx.TensorProto.Builder clearFloatData()
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];
- Returns:
- This builder for chaining.
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getInt32DataList
public java.util.List<java.lang.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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- A list containing the int32Data.
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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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The int32Data at the given index.
-
setInt32Data
public Onnx.TensorProto.Builder setInt32Data(int index, int value)
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];
- Parameters:
index
- The index to set the value at.value
- The int32Data to set.- Returns:
- This builder for chaining.
-
addInt32Data
public Onnx.TensorProto.Builder addInt32Data(int value)
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];
- Parameters:
value
- The int32Data to add.- Returns:
- This builder for chaining.
-
addAllInt32Data
public Onnx.TensorProto.Builder addAllInt32Data(java.lang.Iterable<? extends java.lang.Integer> values)
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];
- Parameters:
values
- The int32Data to add.- Returns:
- This builder for chaining.
-
clearInt32Data
public Onnx.TensorProto.Builder clearInt32Data()
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];
- Returns:
- This builder for chaining.
-
getStringDataList
public java.util.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The stringData at the given index.
-
setStringData
public Onnx.TensorProto.Builder setStringData(int index, com.google.protobuf.ByteString value)
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 to set the value at.value
- The stringData to set.- Returns:
- This builder for chaining.
-
addStringData
public Onnx.TensorProto.Builder addStringData(com.google.protobuf.ByteString value)
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:
value
- The stringData to add.- Returns:
- This builder for chaining.
-
addAllStringData
public Onnx.TensorProto.Builder addAllStringData(java.lang.Iterable<? extends com.google.protobuf.ByteString> values)
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:
values
- The stringData to add.- Returns:
- This builder for chaining.
-
clearStringData
public Onnx.TensorProto.Builder clearStringData()
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:
- This builder for chaining.
-
getInt64DataList
public java.util.List<java.lang.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The int64Data at the given index.
-
setInt64Data
public Onnx.TensorProto.Builder setInt64Data(int index, long value)
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 to set the value at.value
- The int64Data to set.- Returns:
- This builder for chaining.
-
addInt64Data
public Onnx.TensorProto.Builder addInt64Data(long value)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Parameters:
value
- The int64Data to add.- Returns:
- This builder for chaining.
-
addAllInt64Data
public Onnx.TensorProto.Builder addAllInt64Data(java.lang.Iterable<? extends java.lang.Long> values)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Parameters:
values
- The int64Data to add.- Returns:
- This builder for chaining.
-
clearInt64Data
public Onnx.TensorProto.Builder clearInt64Data()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Returns:
- This builder for chaining.
-
hasName
public boolean hasName()
Optionally, a name for the tensor.
optional string name = 8;
- Specified by:
hasName
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- Whether the name field is set.
-
getName
public java.lang.String getName()
Optionally, a name for the tensor.
optional string name = 8;
- Specified by:
getName
in interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The bytes for name.
-
setName
public Onnx.TensorProto.Builder setName(java.lang.String value)
Optionally, a name for the tensor.
optional string name = 8;
- Parameters:
value
- The name to set.- Returns:
- This builder for chaining.
-
clearName
public Onnx.TensorProto.Builder clearName()
Optionally, a name for the tensor.
optional string name = 8;
- Returns:
- This builder for chaining.
-
setNameBytes
public Onnx.TensorProto.Builder setNameBytes(com.google.protobuf.ByteString value)
Optionally, a name for the tensor.
optional string name = 8;
- Parameters:
value
- The bytes for name to set.- Returns:
- This builder for chaining.
-
hasDocString
public boolean hasDocString()
A human-readable documentation for this tensor. Markdown is allowed.
optional string doc_string = 12;
- Specified by:
hasDocString
in interfaceOnnx.TensorProtoOrBuilder
- Returns:
- Whether the docString field is set.
-
getDocString
public java.lang.String getDocString()
A human-readable documentation for this tensor. Markdown is allowed.
optional string doc_string = 12;
- Specified by:
getDocString
in interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The bytes for docString.
-
setDocString
public Onnx.TensorProto.Builder setDocString(java.lang.String value)
A human-readable documentation for this tensor. Markdown is allowed.
optional string doc_string = 12;
- Parameters:
value
- The docString to set.- Returns:
- This builder for chaining.
-
clearDocString
public Onnx.TensorProto.Builder clearDocString()
A human-readable documentation for this tensor. Markdown is allowed.
optional string doc_string = 12;
- Returns:
- This builder for chaining.
-
setDocStringBytes
public Onnx.TensorProto.Builder setDocStringBytes(com.google.protobuf.ByteString value)
A human-readable documentation for this tensor. Markdown is allowed.
optional string doc_string = 12;
- Parameters:
value
- The bytes for docString to set.- Returns:
- This builder for chaining.
-
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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Returns:
- The rawData.
-
setRawData
public Onnx.TensorProto.Builder setRawData(com.google.protobuf.ByteString value)
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;
- Parameters:
value
- The rawData to set.- Returns:
- This builder for chaining.
-
clearRawData
public Onnx.TensorProto.Builder clearRawData()
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:
- This builder for chaining.
-
getDoubleDataList
public java.util.List<java.lang.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The doubleData at the given index.
-
setDoubleData
public Onnx.TensorProto.Builder setDoubleData(int index, double value)
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];
- Parameters:
index
- The index to set the value at.value
- The doubleData to set.- Returns:
- This builder for chaining.
-
addDoubleData
public Onnx.TensorProto.Builder addDoubleData(double value)
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];
- Parameters:
value
- The doubleData to add.- Returns:
- This builder for chaining.
-
addAllDoubleData
public Onnx.TensorProto.Builder addAllDoubleData(java.lang.Iterable<? extends java.lang.Double> values)
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];
- Parameters:
values
- The doubleData to add.- Returns:
- This builder for chaining.
-
clearDoubleData
public Onnx.TensorProto.Builder clearDoubleData()
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];
- Returns:
- This builder for chaining.
-
getUint64DataList
public java.util.List<java.lang.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The uint64Data at the given index.
-
setUint64Data
public Onnx.TensorProto.Builder setUint64Data(int index, long value)
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 to set the value at.value
- The uint64Data to set.- Returns:
- This builder for chaining.
-
addUint64Data
public Onnx.TensorProto.Builder addUint64Data(long value)
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:
value
- The uint64Data to add.- Returns:
- This builder for chaining.
-
addAllUint64Data
public Onnx.TensorProto.Builder addAllUint64Data(java.lang.Iterable<? extends java.lang.Long> values)
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:
values
- The uint64Data to add.- Returns:
- This builder for chaining.
-
clearUint64Data
public Onnx.TensorProto.Builder clearUint64Data()
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:
- This builder for chaining.
-
setUnknownFields
public final Onnx.TensorProto.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
setUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
-
mergeUnknownFields
public final Onnx.TensorProto.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
-
-