onnx

Class Onnx.TensorProto.Builder

java.lang.Object

org.nd4j.shade.protobuf.AbstractMessageLite.Builder

org.nd4j.shade.protobuf.AbstractMessage.Builder<BuilderType>

org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

onnx.Onnx.TensorProto.Builder

All Implemented Interfaces:

Cloneable, Onnx.TensorProtoOrBuilder, org.nd4j.shade.protobuf.Message.Builder, org.nd4j.shade.protobuf.MessageLite.Builder, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder

Enclosing class:

Onnx.TensorProto

public static final class Onnx.TensorProto.Builder
extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>
implements Onnx.TensorProtoOrBuilder

 A message defined to store a tensor in its serialized format.
 

Protobuf type onnx.TensorProto

Method Summary

Modifier and Type	Method and Description
Onnx.TensorProto.Builder	addAllDims(Iterable<? extends Long> values) The shape of the tensor.
Onnx.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.
Onnx.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.
Onnx.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.
Onnx.TensorProto.Builder	addAllInt64Data(Iterable<? extends Long> values) For int64.
Onnx.TensorProto.Builder	addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values) For strings.
Onnx.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
Onnx.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(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
Onnx.TensorProto.Builder	addStringData(org.nd4j.shade.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 UINT64
Onnx.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(org.nd4j.shade.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(org.nd4j.shade.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() .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 UINT64
Onnx.TensorProto.Builder	clone()
Onnx.TensorProto.DataType	getDataType() The data type of the tensor.
int	getDataTypeValue() The data type of the tensor.
Onnx.TensorProto	getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptor()
org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptorForType()
long	getDims(int index) The shape of the tensor.
int	getDimsCount() The shape of the tensor.
List<Long>	getDimsList() The shape of the tensor.
String	getDocString() A human-readable documentation for this tensor.
org.nd4j.shade.protobuf.ByteString	getDocStringBytes() A human-readable documentation for this tensor.
double	getDoubleData(int index) For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
int	getDoubleDataCount() For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
List<Double>	getDoubleDataList() For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
float	getFloatData(int index) For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
int	getFloatDataCount() For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
List<Float>	getFloatDataList() For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
int	getInt32Data(int index) For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
int	getInt32DataCount() For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
List<Integer>	getInt32DataList() For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
long	getInt64Data(int index) For int64.
int	getInt64DataCount() For int64.
List<Long>	getInt64DataList() For int64.
String	getName() Optionally, a name for the tensor.
org.nd4j.shade.protobuf.ByteString	getNameBytes() Optionally, a name for the tensor.
org.nd4j.shade.protobuf.ByteString	getRawData() Serializations can either use one of the fields above, or use this raw bytes field.
Onnx.TensorProto.Segment	getSegment() .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Segment.Builder	getSegmentBuilder() .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.SegmentOrBuilder	getSegmentOrBuilder() .onnx.TensorProto.Segment segment = 3;
org.nd4j.shade.protobuf.ByteString	getStringData(int index) For strings.
int	getStringDataCount() For strings.
List<org.nd4j.shade.protobuf.ByteString>	getStringDataList() For strings.
long	getUint64Data(int index) For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
int	getUint64DataCount() For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
List<Long>	getUint64DataList() For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
boolean	hasSegment() .onnx.TensorProto.Segment segment = 3;
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
Onnx.TensorProto.Builder	mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
Onnx.TensorProto.Builder	mergeFrom(org.nd4j.shade.protobuf.Message other)
Onnx.TensorProto.Builder	mergeFrom(Onnx.TensorProto other)
Onnx.TensorProto.Builder	mergeSegment(Onnx.TensorProto.Segment value) .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder	mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
Onnx.TensorProto.Builder	setDataType(Onnx.TensorProto.DataType value) The data type of the tensor.
Onnx.TensorProto.Builder	setDataTypeValue(int value) The data type of the tensor.
Onnx.TensorProto.Builder	setDims(int index, long value) The shape of the tensor.
Onnx.TensorProto.Builder	setDocString(String value) A human-readable documentation for this tensor.
Onnx.TensorProto.Builder	setDocStringBytes(org.nd4j.shade.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(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, 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(String value) Optionally, a name for the tensor.
Onnx.TensorProto.Builder	setNameBytes(org.nd4j.shade.protobuf.ByteString value) Optionally, a name for the tensor.
Onnx.TensorProto.Builder	setRawData(org.nd4j.shade.protobuf.ByteString value) Serializations can either use one of the fields above, or use this raw bytes field.
Onnx.TensorProto.Builder	setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
Onnx.TensorProto.Builder	setSegment(Onnx.TensorProto.Segment.Builder builderForValue) .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder	setSegment(Onnx.TensorProto.Segment value) .onnx.TensorProto.Segment segment = 3;
Onnx.TensorProto.Builder	setStringData(int index, org.nd4j.shade.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 UINT64
Onnx.TensorProto.Builder	setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.shade.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface org.nd4j.shade.protobuf.MessageLite.Builder

mergeFrom

Method Detail

getDescriptor

public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

clear

public Onnx.TensorProto.Builder clear()

Specified by:

clear in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

clear in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

clear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

getDescriptorForType

public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

getDefaultInstanceForType

public Onnx.TensorProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

build

public Onnx.TensorProto build()

Specified by:

build in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

build in interface org.nd4j.shade.protobuf.MessageLite.Builder

buildPartial

public Onnx.TensorProto buildPartial()

Specified by:

buildPartial in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

buildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builder

clone

public Onnx.TensorProto.Builder clone()

Specified by:

clone in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

clone in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

clone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

setField

public Onnx.TensorProto.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                         Object value)

Specified by:

setField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

clearField

public Onnx.TensorProto.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

clearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

clearOneof

public Onnx.TensorProto.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

clearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

setRepeatedField

public Onnx.TensorProto.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                 int index,
                                                 Object value)

Specified by:

setRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

addRepeatedField

public Onnx.TensorProto.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                 Object value)

Specified by:

addRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

addRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

mergeFrom

public Onnx.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<Onnx.TensorProto.Builder>

mergeFrom

public Onnx.TensorProto.Builder mergeFrom(Onnx.TensorProto other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

mergeFrom

public Onnx.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input,
                                          org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                   throws IOException

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<Onnx.TensorProto.Builder>

Throws:

IOException

getDimsList

public List<Long> getDimsList()

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDimsList in interface Onnx.TensorProtoOrBuilder

getDimsCount

public int getDimsCount()

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDimsCount in interface Onnx.TensorProtoOrBuilder

getDims

public long getDims(int index)

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDims in interface Onnx.TensorProtoOrBuilder

setDims

public Onnx.TensorProto.Builder setDims(int index,
                                        long value)

 The shape of the tensor.
 

repeated int64 dims = 1;

addDims

public Onnx.TensorProto.Builder addDims(long value)

 The shape of the tensor.
 

repeated int64 dims = 1;

addAllDims

public Onnx.TensorProto.Builder addAllDims(Iterable<? extends Long> values)

 The shape of the tensor.
 

repeated int64 dims = 1;

clearDims

public Onnx.TensorProto.Builder clearDims()

 The shape of the tensor.
 

repeated int64 dims = 1;

getDataTypeValue

public int getDataTypeValue()

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

Specified by:

getDataTypeValue in interface Onnx.TensorProtoOrBuilder

setDataTypeValue

public Onnx.TensorProto.Builder setDataTypeValue(int value)

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

getDataType

public Onnx.TensorProto.DataType getDataType()

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

Specified by:

getDataType in interface Onnx.TensorProtoOrBuilder

setDataType

public Onnx.TensorProto.Builder setDataType(Onnx.TensorProto.DataType value)

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

clearDataType

public Onnx.TensorProto.Builder clearDataType()

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

hasSegment

public boolean hasSegment()

.onnx.TensorProto.Segment segment = 3;

Specified by:

hasSegment in interface Onnx.TensorProtoOrBuilder

getSegment

public Onnx.TensorProto.Segment getSegment()

.onnx.TensorProto.Segment segment = 3;

Specified by:

getSegment in interface Onnx.TensorProtoOrBuilder

setSegment

public Onnx.TensorProto.Builder setSegment(Onnx.TensorProto.Segment value)

.onnx.TensorProto.Segment segment = 3;

setSegment

public Onnx.TensorProto.Builder setSegment(Onnx.TensorProto.Segment.Builder builderForValue)

.onnx.TensorProto.Segment segment = 3;

mergeSegment

public Onnx.TensorProto.Builder mergeSegment(Onnx.TensorProto.Segment value)

.onnx.TensorProto.Segment segment = 3;

clearSegment

public Onnx.TensorProto.Builder clearSegment()

.onnx.TensorProto.Segment segment = 3;

getSegmentBuilder

public Onnx.TensorProto.Segment.Builder getSegmentBuilder()

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder

public Onnx.TensorProto.SegmentOrBuilder getSegmentOrBuilder()

.onnx.TensorProto.Segment segment = 3;

Specified by:

getSegmentOrBuilder in interface Onnx.TensorProtoOrBuilder

getFloatDataList

public List<Float> getFloatDataList()

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

Specified by:

getFloatDataList in interface Onnx.TensorProtoOrBuilder

getFloatDataCount

public int getFloatDataCount()

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

Specified by:

getFloatDataCount in interface Onnx.TensorProtoOrBuilder

getFloatData

public float getFloatData(int index)

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

Specified by:

getFloatData in interface Onnx.TensorProtoOrBuilder

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];

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];

addAllFloatData

public Onnx.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. (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];

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];

getInt32DataList

public List<Integer> getInt32DataList()

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32DataList in interface Onnx.TensorProtoOrBuilder

getInt32DataCount

public int getInt32DataCount()

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32DataCount in interface Onnx.TensorProtoOrBuilder

getInt32Data

public int getInt32Data(int index)

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32Data in interface Onnx.TensorProtoOrBuilder

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];

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];

addAllInt32Data

public Onnx.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.
 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];

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];

getStringDataList

public List<org.nd4j.shade.protobuf.ByteString> getStringDataList()

 For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
 

repeated bytes string_data = 6;

Specified by:

getStringDataList in interface Onnx.TensorProtoOrBuilder

getStringDataCount

public int getStringDataCount()

 For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
 

repeated bytes string_data = 6;

Specified by:

getStringDataCount in interface Onnx.TensorProtoOrBuilder

getStringData

public org.nd4j.shade.protobuf.ByteString getStringData(int index)

 For strings.
 Each element of string_data is a UTF-8 encoded Unicode
 string. No trailing null, no leading BOM. The protobuf "string"
 scalar type is not used to match ML community conventions.
 When this field is present, the data_type field MUST be STRING
 

repeated bytes string_data = 6;

Specified by:

getStringData in interface Onnx.TensorProtoOrBuilder

setStringData

public Onnx.TensorProto.Builder setStringData(int index,
                                              org.nd4j.shade.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;

addStringData

public Onnx.TensorProto.Builder addStringData(org.nd4j.shade.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;

addAllStringData

public Onnx.TensorProto.Builder addAllStringData(Iterable<? extends org.nd4j.shade.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;

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;

getInt64DataList

public List<Long> getInt64DataList()

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

Specified by:

getInt64DataList in interface Onnx.TensorProtoOrBuilder

getInt64DataCount

public int getInt64DataCount()

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

Specified by:

getInt64DataCount in interface Onnx.TensorProtoOrBuilder

getInt64Data

public long getInt64Data(int index)

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

Specified by:

getInt64Data in interface Onnx.TensorProtoOrBuilder

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];

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];

addAllInt64Data

public Onnx.TensorProto.Builder addAllInt64Data(Iterable<? extends Long> values)

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

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];

getName

public String getName()

 Optionally, a name for the tensor.
 

string name = 8;

Specified by:

getName in interface Onnx.TensorProtoOrBuilder

getNameBytes

public org.nd4j.shade.protobuf.ByteString getNameBytes()

 Optionally, a name for the tensor.
 

string name = 8;

Specified by:

getNameBytes in interface Onnx.TensorProtoOrBuilder

setName

public Onnx.TensorProto.Builder setName(String value)

 Optionally, a name for the tensor.
 

string name = 8;

clearName

public Onnx.TensorProto.Builder clearName()

 Optionally, a name for the tensor.
 

string name = 8;

setNameBytes

public Onnx.TensorProto.Builder setNameBytes(org.nd4j.shade.protobuf.ByteString value)

 Optionally, a name for the tensor.
 

string name = 8;

getDocString

public String getDocString()

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

Specified by:

getDocString in interface Onnx.TensorProtoOrBuilder

getDocStringBytes

public org.nd4j.shade.protobuf.ByteString getDocStringBytes()

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

Specified by:

getDocStringBytes in interface Onnx.TensorProtoOrBuilder

setDocString

public Onnx.TensorProto.Builder setDocString(String value)

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

clearDocString

public Onnx.TensorProto.Builder clearDocString()

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

setDocStringBytes

public Onnx.TensorProto.Builder setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

getRawData

public org.nd4j.shade.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
 

bytes raw_data = 9;

Specified by:

getRawData in interface Onnx.TensorProtoOrBuilder

setRawData

public Onnx.TensorProto.Builder setRawData(org.nd4j.shade.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
 

bytes raw_data = 9;

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
 

bytes raw_data = 9;

getDoubleDataList

public List<Double> getDoubleDataList()

 For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

Specified by:

getDoubleDataList in interface Onnx.TensorProtoOrBuilder

getDoubleDataCount

public int getDoubleDataCount()

 For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

Specified by:

getDoubleDataCount in interface Onnx.TensorProtoOrBuilder

getDoubleData

public double getDoubleData(int index)

 For double
 Complex64 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component apparing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

Specified by:

getDoubleData in interface Onnx.TensorProtoOrBuilder

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];

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];

addAllDoubleData

public Onnx.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. (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];

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];

getUint64DataList

public List<Long> getUint64DataList()

 For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
 

repeated uint64 uint64_data = 11 [packed = true];

Specified by:

getUint64DataList in interface Onnx.TensorProtoOrBuilder

getUint64DataCount

public int getUint64DataCount()

 For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
 

repeated uint64 uint64_data = 11 [packed = true];

Specified by:

getUint64DataCount in interface Onnx.TensorProtoOrBuilder

getUint64Data

public long getUint64Data(int index)

 For uint64 and uint32 values
 When this field is present, the data_type field MUST be
 UINT32 or UINT64
 

repeated uint64 uint64_data = 11 [packed = true];

Specified by:

getUint64Data in interface Onnx.TensorProtoOrBuilder

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];

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];

addAllUint64Data

public Onnx.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
 

repeated uint64 uint64_data = 11 [packed = true];

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];

setUnknownFields

public final Onnx.TensorProto.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>

mergeUnknownFields

public final Onnx.TensorProto.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.TensorProto.Builder>