Uses of Class
onnx.OnnxMl.TensorProto.Builder

Packages that use OnnxMl.TensorProto.Builder

Package	Description
onnx

Uses of OnnxMl.TensorProto.Builder in onnx

Methods in onnx that return OnnxMl.TensorProto.Builder

Modifier and Type	Method	Description
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addAllDims(Iterable<? extends Long> values)	The shape of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addAllDoubleData(Iterable<? extends Double> values)	For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addAllExternalData(Iterable<? extends OnnxMl.StringStringEntryProto> values)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.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 appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.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.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addAllInt64Data(Iterable<? extends Long> values)	For int64.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values)	For strings.
OnnxMl.TensorProto.Builder	OnnxMl.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
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addDims(long value)	The shape of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addDoubleData(double value)	For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addExternalData(int index, OnnxMl.StringStringEntryProto value)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addExternalData(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addExternalData(OnnxMl.StringStringEntryProto value)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addExternalData(OnnxMl.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.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 appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.GraphProto.Builder.addInitializerBuilder()	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto.Builder	OnnxMl.GraphProto.Builder.addInitializerBuilder(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto.Builder	OnnxMl.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.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addInt64Data(long value)	For int64.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addStringData(org.nd4j.shade.protobuf.ByteString value)	For strings.
OnnxMl.TensorProto.Builder	OnnxMl.AttributeProto.Builder.addTensorsBuilder()	list of tensors
OnnxMl.TensorProto.Builder	OnnxMl.AttributeProto.Builder.addTensorsBuilder(int index)	list of tensors
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.addUint64Data(long value)	For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clear()
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearDataLocation()	If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearDataType()	The data type of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearDims()	The shape of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearDocString()	A human-readable documentation for this tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearDoubleData()	For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearExternalData()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.TensorProto.Builder	OnnxMl.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 appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.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.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearInt64Data()	For int64.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearName()	Optionally, a name for the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearRawData()	Serializations can either use one of the fields above, or use this raw bytes field.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearSegment()	.onnx.TensorProto.Segment segment = 3;
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearStringData()	For strings.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clearUint64Data()	For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.clone()
OnnxMl.TensorProto.Builder	OnnxMl.SparseTensorProto.Builder.getIndicesBuilder()	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.TensorProto.Builder	OnnxMl.GraphProto.Builder.getInitializerBuilder(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto.Builder	OnnxMl.AttributeProto.Builder.getTBuilder()	tensor value
OnnxMl.TensorProto.Builder	OnnxMl.AttributeProto.Builder.getTensorsBuilder(int index)	list of tensors
OnnxMl.TensorProto.Builder	OnnxMl.SparseTensorProto.Builder.getValuesBuilder()	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeFrom(OnnxMl.TensorProto other)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeSegment(OnnxMl.TensorProto.Segment value)	.onnx.TensorProto.Segment segment = 3;
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.newBuilder()
static OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.newBuilder(OnnxMl.TensorProto prototype)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.newBuilderForType()
protected OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.removeExternalData(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDataLocation(OnnxMl.TensorProto.DataLocation value)	If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDataLocationValue(int value)	If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDataType(int value)	The data type of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDims(int index, long value)	The shape of the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDocString(String value)	A human-readable documentation for this tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)	A human-readable documentation for this tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setDoubleData(int index, double value)	For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setExternalData(int index, OnnxMl.StringStringEntryProto value)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setExternalData(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.TensorProto.Builder	OnnxMl.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 appearing in the subsequent even numbered position.
OnnxMl.TensorProto.Builder	OnnxMl.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.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setInt64Data(int index, long value)	For int64.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setName(String value)	Optionally, a name for the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setNameBytes(org.nd4j.shade.protobuf.ByteString value)	Optionally, a name for the tensor.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setRawData(org.nd4j.shade.protobuf.ByteString value)	Serializations can either use one of the fields above, or use this raw bytes field.
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setSegment(OnnxMl.TensorProto.Segment value)	.onnx.TensorProto.Segment segment = 3;
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setSegment(OnnxMl.TensorProto.Segment.Builder builderForValue)	.onnx.TensorProto.Segment segment = 3;
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setStringData(int index, org.nd4j.shade.protobuf.ByteString value)	For strings.
OnnxMl.TensorProto.Builder	OnnxMl.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
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.toBuilder()

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

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

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

Modifier and Type	Method	Description
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addTensors(int index, OnnxMl.TensorProto.Builder builderForValue)	list of tensors
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addTensors(OnnxMl.TensorProto.Builder builderForValue)	list of tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto.Builder builderForValue)	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setT(OnnxMl.TensorProto.Builder builderForValue)	tensor value
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setTensors(int index, OnnxMl.TensorProto.Builder builderForValue)	list of tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto.Builder builderForValue)	The sequence of non-default values are encoded as a tensor of shape [NNZ].