Uses of Class
onnx.OnnxMlProto3.TensorProto.Builder

Packages that use OnnxMlProto3.TensorProto.Builder

Package	Description
onnx

Uses of OnnxMlProto3.TensorProto.Builder in onnx

Methods in onnx that return OnnxMlProto3.TensorProto.Builder

Modifier and Type	Method and Description
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllDims(Iterable<? extends Long> values) The shape of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllDoubleData(Iterable<? extends 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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllFloatData(Iterable<? extends 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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllInt32Data(Iterable<? extends 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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllInt64Data(Iterable<? extends Long> values) For int64.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllStringData(Iterable<? extends com.github.os72.protobuf351.ByteString> values) For strings.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addAllUint64Data(Iterable<? extends Long> values) For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addDims(long value) The shape of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.GraphProto.Builder.addInitializerBuilder() A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.GraphProto.Builder.addInitializerBuilder(int index) A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addInt64Data(long value) For int64.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addStringData(com.github.os72.protobuf351.ByteString value) For strings.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.AttributeProto.Builder.addTensorsBuilder() list of tensors
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.AttributeProto.Builder.addTensorsBuilder(int index) list of tensors
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.addUint64Data(long value) For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clear()
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearDataType() The data type of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearDims() The shape of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearDocString() A human-readable documentation for this tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearInt64Data() For int64.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearName() Optionally, a name for the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearOneof(com.github.os72.protobuf351.Descriptors.OneofDescriptor oneof)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearRawData() Serializations can either use one of the fields above, or use this raw bytes field.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearSegment() .onnx.TensorProto.Segment segment = 3;
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearStringData() For strings.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clearUint64Data() For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.clone()
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.GraphProto.Builder.getInitializerBuilder(int index) A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.AttributeProto.Builder.getTBuilder() tensor value
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.AttributeProto.Builder.getTensorsBuilder(int index) list of tensors
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.mergeFrom(com.github.os72.protobuf351.CodedInputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.mergeFrom(com.github.os72.protobuf351.Message other)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.mergeFrom(OnnxMlProto3.TensorProto other)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.mergeSegment(OnnxMlProto3.TensorProto.Segment value) .onnx.TensorProto.Segment segment = 3;
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.mergeUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)
static OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.newBuilder()
static OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.newBuilder(OnnxMlProto3.TensorProto prototype)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.newBuilderForType()
protected OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.newBuilderForType(com.github.os72.protobuf351.GeneratedMessageV3.BuilderParent parent)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setDataType(OnnxMlProto3.TensorProto.DataType value) The data type of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setDataTypeValue(int value) The data type of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setDims(int index, long value) The shape of the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setDocString(String value) A human-readable documentation for this tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setDocStringBytes(com.github.os72.protobuf351.ByteString value) A human-readable documentation for this tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setInt64Data(int index, long value) For int64.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setName(String value) Optionally, a name for the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setNameBytes(com.github.os72.protobuf351.ByteString value) Optionally, a name for the tensor.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setRawData(com.github.os72.protobuf351.ByteString value) Serializations can either use one of the fields above, or use this raw bytes field.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setSegment(OnnxMlProto3.TensorProto.Segment.Builder builderForValue) .onnx.TensorProto.Segment segment = 3;
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setSegment(OnnxMlProto3.TensorProto.Segment value) .onnx.TensorProto.Segment segment = 3;
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setStringData(int index, com.github.os72.protobuf351.ByteString value) For strings.
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.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
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.Builder.setUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)
OnnxMlProto3.TensorProto.Builder	OnnxMlProto3.TensorProto.toBuilder()

Methods in onnx that return types with arguments of type OnnxMlProto3.TensorProto.Builder

Modifier and Type	Method and Description
List<OnnxMlProto3.TensorProto.Builder>	OnnxMlProto3.GraphProto.Builder.getInitializerBuilderList() A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
List<OnnxMlProto3.TensorProto.Builder>	OnnxMlProto3.AttributeProto.Builder.getTensorsBuilderList() list of tensors

Methods in onnx with parameters of type OnnxMlProto3.TensorProto.Builder

Modifier and Type	Method and Description
OnnxMlProto3.GraphProto.Builder	OnnxMlProto3.GraphProto.Builder.addInitializer(int index, OnnxMlProto3.TensorProto.Builder builderForValue) A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.GraphProto.Builder	OnnxMlProto3.GraphProto.Builder.addInitializer(OnnxMlProto3.TensorProto.Builder builderForValue) A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.AttributeProto.Builder	OnnxMlProto3.AttributeProto.Builder.addTensors(int index, OnnxMlProto3.TensorProto.Builder builderForValue) list of tensors
OnnxMlProto3.AttributeProto.Builder	OnnxMlProto3.AttributeProto.Builder.addTensors(OnnxMlProto3.TensorProto.Builder builderForValue) list of tensors
OnnxMlProto3.GraphProto.Builder	OnnxMlProto3.GraphProto.Builder.setInitializer(int index, OnnxMlProto3.TensorProto.Builder builderForValue) A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
OnnxMlProto3.AttributeProto.Builder	OnnxMlProto3.AttributeProto.Builder.setT(OnnxMlProto3.TensorProto.Builder builderForValue) tensor value
OnnxMlProto3.AttributeProto.Builder	OnnxMlProto3.AttributeProto.Builder.setTensors(int index, OnnxMlProto3.TensorProto.Builder builderForValue) list of tensors