Uses of Class
org.nd4j.ir.TensorNamespace.TensorProto.Builder

Packages that use TensorNamespace.TensorProto.Builder

Package	Description
org.nd4j.ir

Uses of TensorNamespace.TensorProto.Builder in org.nd4j.ir

Methods in org.nd4j.ir that return TensorNamespace.TensorProto.Builder

Modifier and Type	Method and Description
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllBoolVal(Iterable<? extends Boolean> values) boolean values
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllDims(Iterable<? extends Long> values) The shape of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllExternalData(Iterable<? extends TensorNamespace.StringStringEntryProto> values) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllHalfVal(Iterable<? extends Integer> values) For half values (tensorflow compatibility)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllInt64Data(Iterable<? extends Long> values) For int64.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values) For strings.
TensorNamespace.TensorProto.Builder	TensorNamespace.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
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addBoolVal(boolean value) boolean values
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addDims(long value) The shape of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addExternalData(int index, TensorNamespace.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addExternalData(TensorNamespace.StringStringEntryProto.Builder builderForValue) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addExternalData(TensorNamespace.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addHalfVal(int value) For half values (tensorflow compatibility)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addInt64Data(long value) For int64.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addStringData(org.nd4j.shade.protobuf.ByteString value) For strings.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.addUint64Data(long value) For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clear()
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearBoolVal() boolean values
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearDataLocation() If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearDataType() The data type of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearDims() The shape of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearDocString() A human-readable documentation for this tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearExternalData() Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearHalfVal() For half values (tensorflow compatibility)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearInt64Data() For int64.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearName() Optionally, a name for the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearRawData() Serializations can either use one of the fields above, or use this raw bytes field.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearSegment() .org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearStringData() For strings.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clearUint64Data() For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.clone()
TensorNamespace.TensorProto.Builder	OpNamespace.ArgDescriptor.Builder.getInputValueBuilder() .org.nd4j.ir.TensorProto inputValue = 8;
TensorNamespace.TensorProto.Builder	OpNamespace.ArgDescriptor.Builder.getOutputValueBuilder() .org.nd4j.ir.TensorProto outputValue = 9;
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.mergeFrom(TensorNamespace.TensorProto other)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.mergeSegment(TensorNamespace.TensorProto.Segment value) .org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.newBuilder()
static TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.newBuilder(TensorNamespace.TensorProto prototype)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.newBuilderForType()
protected TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.removeExternalData(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setBoolVal(int index, boolean value) boolean values
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDataLocation(TensorNamespace.TensorProto.DataLocation value) If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDataLocationValue(int value) If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDataType(int value) The data type of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDims(int index, long value) The shape of the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDocString(String value) A human-readable documentation for this tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setDocStringBytes(org.nd4j.shade.protobuf.ByteString value) A human-readable documentation for this tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setExternalData(int index, TensorNamespace.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setHalfVal(int index, int value) For half values (tensorflow compatibility)
TensorNamespace.TensorProto.Builder	TensorNamespace.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.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setInt64Data(int index, long value) For int64.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setName(String value) Optionally, a name for the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setNameBytes(org.nd4j.shade.protobuf.ByteString value) Optionally, a name for the tensor.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setRawData(org.nd4j.shade.protobuf.ByteString value) Serializations can either use one of the fields above, or use this raw bytes field.
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setSegment(TensorNamespace.TensorProto.Segment.Builder builderForValue) .org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setSegment(TensorNamespace.TensorProto.Segment value) .org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setStringData(int index, org.nd4j.shade.protobuf.ByteString value) For strings.
TensorNamespace.TensorProto.Builder	TensorNamespace.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
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
TensorNamespace.TensorProto.Builder	TensorNamespace.TensorProto.toBuilder()

Methods in org.nd4j.ir with parameters of type TensorNamespace.TensorProto.Builder

Modifier and Type	Method and Description
OpNamespace.ArgDescriptor.Builder	OpNamespace.ArgDescriptor.Builder.setInputValue(TensorNamespace.TensorProto.Builder builderForValue) .org.nd4j.ir.TensorProto inputValue = 8;
OpNamespace.ArgDescriptor.Builder	OpNamespace.ArgDescriptor.Builder.setOutputValue(TensorNamespace.TensorProto.Builder builderForValue) .org.nd4j.ir.TensorProto outputValue = 9;