Package com.viam.service.mlmodel.v1

Class Mlmodel.FlatTensor.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder<MessageType,BuilderType>

com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.FlatTensor,Mlmodel.FlatTensor.Builder>

com.viam.service.mlmodel.v1.Mlmodel.FlatTensor.Builder

All Implemented Interfaces:

com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, Mlmodel.FlatTensorOrBuilder, Cloneable

Enclosing class:

Mlmodel.FlatTensor

public static final class Mlmodel.FlatTensor.Builder
extends com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.FlatTensor,Mlmodel.FlatTensor.Builder>
implements Mlmodel.FlatTensorOrBuilder

Protobuf type viam.service.mlmodel.v1.FlatTensor

Field Summary

Fields inherited from class com.google.protobuf.GeneratedMessageLite.Builder

instance

Method Summary

Modifier and Type	Method	Description
Mlmodel.FlatTensor.Builder	addAllShape(Iterable<? extends Long> values)	the shape of the provided tensor as a list of integer extents
Mlmodel.FlatTensor.Builder	addShape(long value)	the shape of the provided tensor as a list of integer extents
Mlmodel.FlatTensor.Builder	clearDoubleTensor()	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
Mlmodel.FlatTensor.Builder	clearFloatTensor()	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
Mlmodel.FlatTensor.Builder	clearInt16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
Mlmodel.FlatTensor.Builder	clearInt32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
Mlmodel.FlatTensor.Builder	clearInt64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
Mlmodel.FlatTensor.Builder	clearInt8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
Mlmodel.FlatTensor.Builder	clearShape()	the shape of the provided tensor as a list of integer extents
Mlmodel.FlatTensor.Builder	clearTensor()
Mlmodel.FlatTensor.Builder	clearUint16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
Mlmodel.FlatTensor.Builder	clearUint32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
Mlmodel.FlatTensor.Builder	clearUint64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
Mlmodel.FlatTensor.Builder	clearUint8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
Mlmodel.FlatTensorDataDouble	getDoubleTensor()	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
Mlmodel.FlatTensorDataFloat	getFloatTensor()	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
Mlmodel.FlatTensorDataInt16	getInt16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
Mlmodel.FlatTensorDataInt32	getInt32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
Mlmodel.FlatTensorDataInt64	getInt64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
Mlmodel.FlatTensorDataInt8	getInt8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
long	getShape(int index)	the shape of the provided tensor as a list of integer extents
int	getShapeCount()	the shape of the provided tensor as a list of integer extents
List<Long>	getShapeList()	the shape of the provided tensor as a list of integer extents
Mlmodel.FlatTensor.TensorCase	getTensorCase()
Mlmodel.FlatTensorDataUInt16	getUint16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
Mlmodel.FlatTensorDataUInt32	getUint32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
Mlmodel.FlatTensorDataUInt64	getUint64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
Mlmodel.FlatTensorDataUInt8	getUint8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
boolean	hasDoubleTensor()	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
boolean	hasFloatTensor()	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
boolean	hasInt16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
boolean	hasInt32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
boolean	hasInt64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
boolean	hasInt8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
boolean	hasUint16Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
boolean	hasUint32Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
boolean	hasUint64Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
boolean	hasUint8Tensor()	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
Mlmodel.FlatTensor.Builder	mergeDoubleTensor(Mlmodel.FlatTensorDataDouble value)	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
Mlmodel.FlatTensor.Builder	mergeFloatTensor(Mlmodel.FlatTensorDataFloat value)	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
Mlmodel.FlatTensor.Builder	mergeInt16Tensor(Mlmodel.FlatTensorDataInt16 value)	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
Mlmodel.FlatTensor.Builder	mergeInt32Tensor(Mlmodel.FlatTensorDataInt32 value)	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
Mlmodel.FlatTensor.Builder	mergeInt64Tensor(Mlmodel.FlatTensorDataInt64 value)	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
Mlmodel.FlatTensor.Builder	mergeInt8Tensor(Mlmodel.FlatTensorDataInt8 value)	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
Mlmodel.FlatTensor.Builder	mergeUint16Tensor(Mlmodel.FlatTensorDataUInt16 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
Mlmodel.FlatTensor.Builder	mergeUint32Tensor(Mlmodel.FlatTensorDataUInt32 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
Mlmodel.FlatTensor.Builder	mergeUint64Tensor(Mlmodel.FlatTensorDataUInt64 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
Mlmodel.FlatTensor.Builder	mergeUint8Tensor(Mlmodel.FlatTensorDataUInt8 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
Mlmodel.FlatTensor.Builder	setDoubleTensor(Mlmodel.FlatTensorDataDouble value)	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
Mlmodel.FlatTensor.Builder	setDoubleTensor(Mlmodel.FlatTensorDataDouble.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
Mlmodel.FlatTensor.Builder	setFloatTensor(Mlmodel.FlatTensorDataFloat value)	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
Mlmodel.FlatTensor.Builder	setFloatTensor(Mlmodel.FlatTensorDataFloat.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
Mlmodel.FlatTensor.Builder	setInt16Tensor(Mlmodel.FlatTensorDataInt16 value)	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
Mlmodel.FlatTensor.Builder	setInt16Tensor(Mlmodel.FlatTensorDataInt16.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
Mlmodel.FlatTensor.Builder	setInt32Tensor(Mlmodel.FlatTensorDataInt32 value)	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
Mlmodel.FlatTensor.Builder	setInt32Tensor(Mlmodel.FlatTensorDataInt32.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
Mlmodel.FlatTensor.Builder	setInt64Tensor(Mlmodel.FlatTensorDataInt64 value)	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
Mlmodel.FlatTensor.Builder	setInt64Tensor(Mlmodel.FlatTensorDataInt64.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
Mlmodel.FlatTensor.Builder	setInt8Tensor(Mlmodel.FlatTensorDataInt8 value)	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
Mlmodel.FlatTensor.Builder	setInt8Tensor(Mlmodel.FlatTensorDataInt8.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
Mlmodel.FlatTensor.Builder	setShape(int index, long value)	the shape of the provided tensor as a list of integer extents
Mlmodel.FlatTensor.Builder	setUint16Tensor(Mlmodel.FlatTensorDataUInt16 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
Mlmodel.FlatTensor.Builder	setUint16Tensor(Mlmodel.FlatTensorDataUInt16.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
Mlmodel.FlatTensor.Builder	setUint32Tensor(Mlmodel.FlatTensorDataUInt32 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
Mlmodel.FlatTensor.Builder	setUint32Tensor(Mlmodel.FlatTensorDataUInt32.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
Mlmodel.FlatTensor.Builder	setUint64Tensor(Mlmodel.FlatTensorDataUInt64 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
Mlmodel.FlatTensor.Builder	setUint64Tensor(Mlmodel.FlatTensorDataUInt64.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
Mlmodel.FlatTensor.Builder	setUint8Tensor(Mlmodel.FlatTensorDataUInt8 value)	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
Mlmodel.FlatTensor.Builder	setUint8Tensor(Mlmodel.FlatTensorDataUInt8.Builder builderForValue)	.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

Methods inherited from class com.google.protobuf.GeneratedMessageLite.Builder

build, buildPartial, clear, clone, copyOnWrite, copyOnWriteInternal, getDefaultInstanceForType, internalMergeFrom, isInitialized, mergeFrom, mergeFrom, mergeFrom, mergeFrom

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

getDefaultInstanceForType, isInitialized

Method Details

getTensorCase

public Mlmodel.FlatTensor.TensorCase getTensorCase()

Specified by:

getTensorCase in interface Mlmodel.FlatTensorOrBuilder

clearTensor

public Mlmodel.FlatTensor.Builder clearTensor()

getShapeList

public List<Long> getShapeList()

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Specified by:

getShapeList in interface Mlmodel.FlatTensorOrBuilder

Returns:

A list containing the shape.

getShapeCount

public int getShapeCount()

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Specified by:

getShapeCount in interface Mlmodel.FlatTensorOrBuilder

Returns:

The count of shape.

getShape

public long getShape(int index)

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Specified by:

getShape in interface Mlmodel.FlatTensorOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The shape at the given index.

setShape

public Mlmodel.FlatTensor.Builder setShape(int index,
 long value)

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Parameters:

value - The shape to set.

Returns:

This builder for chaining.

addShape

public Mlmodel.FlatTensor.Builder addShape(long value)

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Parameters:

value - The shape to add.

Returns:

This builder for chaining.

addAllShape

public Mlmodel.FlatTensor.Builder addAllShape(Iterable<? extends Long> values)

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Parameters:

values - The shape to add.

Returns:

This builder for chaining.

clearShape

public Mlmodel.FlatTensor.Builder clearShape()

 the shape of the provided tensor as a list of integer extents
 

repeated fixed64 shape = 1 [json_name = "shape"];

Returns:

This builder for chaining.

hasInt8Tensor

public boolean hasInt8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

Specified by:

hasInt8Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the int8Tensor field is set.

getInt8Tensor

public Mlmodel.FlatTensorDataInt8 getInt8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

Specified by:

getInt8Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The int8Tensor.

setInt8Tensor

public Mlmodel.FlatTensor.Builder setInt8Tensor(Mlmodel.FlatTensorDataInt8 value)

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

setInt8Tensor

public Mlmodel.FlatTensor.Builder setInt8Tensor(Mlmodel.FlatTensorDataInt8.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

mergeInt8Tensor

public Mlmodel.FlatTensor.Builder mergeInt8Tensor(Mlmodel.FlatTensorDataInt8 value)

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

clearInt8Tensor

public Mlmodel.FlatTensor.Builder clearInt8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];

hasUint8Tensor

public boolean hasUint8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

Specified by:

hasUint8Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the uint8Tensor field is set.

getUint8Tensor

public Mlmodel.FlatTensorDataUInt8 getUint8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

Specified by:

getUint8Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The uint8Tensor.

setUint8Tensor

public Mlmodel.FlatTensor.Builder setUint8Tensor(Mlmodel.FlatTensorDataUInt8 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

setUint8Tensor

public Mlmodel.FlatTensor.Builder setUint8Tensor(Mlmodel.FlatTensorDataUInt8.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

mergeUint8Tensor

public Mlmodel.FlatTensor.Builder mergeUint8Tensor(Mlmodel.FlatTensorDataUInt8 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

clearUint8Tensor

public Mlmodel.FlatTensor.Builder clearUint8Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];

hasInt16Tensor

public boolean hasInt16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

Specified by:

hasInt16Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the int16Tensor field is set.

getInt16Tensor

public Mlmodel.FlatTensorDataInt16 getInt16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

Specified by:

getInt16Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The int16Tensor.

setInt16Tensor

public Mlmodel.FlatTensor.Builder setInt16Tensor(Mlmodel.FlatTensorDataInt16 value)

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

setInt16Tensor

public Mlmodel.FlatTensor.Builder setInt16Tensor(Mlmodel.FlatTensorDataInt16.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

mergeInt16Tensor

public Mlmodel.FlatTensor.Builder mergeInt16Tensor(Mlmodel.FlatTensorDataInt16 value)

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

clearInt16Tensor

public Mlmodel.FlatTensor.Builder clearInt16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];

hasUint16Tensor

public boolean hasUint16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

Specified by:

hasUint16Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the uint16Tensor field is set.

getUint16Tensor

public Mlmodel.FlatTensorDataUInt16 getUint16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

Specified by:

getUint16Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The uint16Tensor.

setUint16Tensor

public Mlmodel.FlatTensor.Builder setUint16Tensor(Mlmodel.FlatTensorDataUInt16 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

setUint16Tensor

public Mlmodel.FlatTensor.Builder setUint16Tensor(Mlmodel.FlatTensorDataUInt16.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

mergeUint16Tensor

public Mlmodel.FlatTensor.Builder mergeUint16Tensor(Mlmodel.FlatTensorDataUInt16 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

clearUint16Tensor

public Mlmodel.FlatTensor.Builder clearUint16Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];

hasInt32Tensor

public boolean hasInt32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

Specified by:

hasInt32Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the int32Tensor field is set.

getInt32Tensor

public Mlmodel.FlatTensorDataInt32 getInt32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

Specified by:

getInt32Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The int32Tensor.

setInt32Tensor

public Mlmodel.FlatTensor.Builder setInt32Tensor(Mlmodel.FlatTensorDataInt32 value)

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

setInt32Tensor

public Mlmodel.FlatTensor.Builder setInt32Tensor(Mlmodel.FlatTensorDataInt32.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

mergeInt32Tensor

public Mlmodel.FlatTensor.Builder mergeInt32Tensor(Mlmodel.FlatTensorDataInt32 value)

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

clearInt32Tensor

public Mlmodel.FlatTensor.Builder clearInt32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];

hasUint32Tensor

public boolean hasUint32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

Specified by:

hasUint32Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the uint32Tensor field is set.

getUint32Tensor

public Mlmodel.FlatTensorDataUInt32 getUint32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

Specified by:

getUint32Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The uint32Tensor.

setUint32Tensor

public Mlmodel.FlatTensor.Builder setUint32Tensor(Mlmodel.FlatTensorDataUInt32 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

setUint32Tensor

public Mlmodel.FlatTensor.Builder setUint32Tensor(Mlmodel.FlatTensorDataUInt32.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

mergeUint32Tensor

public Mlmodel.FlatTensor.Builder mergeUint32Tensor(Mlmodel.FlatTensorDataUInt32 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

clearUint32Tensor

public Mlmodel.FlatTensor.Builder clearUint32Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];

hasInt64Tensor

public boolean hasInt64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

Specified by:

hasInt64Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the int64Tensor field is set.

getInt64Tensor

public Mlmodel.FlatTensorDataInt64 getInt64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

Specified by:

getInt64Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The int64Tensor.

setInt64Tensor

public Mlmodel.FlatTensor.Builder setInt64Tensor(Mlmodel.FlatTensorDataInt64 value)

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

setInt64Tensor

public Mlmodel.FlatTensor.Builder setInt64Tensor(Mlmodel.FlatTensorDataInt64.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

mergeInt64Tensor

public Mlmodel.FlatTensor.Builder mergeInt64Tensor(Mlmodel.FlatTensorDataInt64 value)

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

clearInt64Tensor

public Mlmodel.FlatTensor.Builder clearInt64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];

hasUint64Tensor

public boolean hasUint64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

Specified by:

hasUint64Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the uint64Tensor field is set.

getUint64Tensor

public Mlmodel.FlatTensorDataUInt64 getUint64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

Specified by:

getUint64Tensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The uint64Tensor.

setUint64Tensor

public Mlmodel.FlatTensor.Builder setUint64Tensor(Mlmodel.FlatTensorDataUInt64 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

setUint64Tensor

public Mlmodel.FlatTensor.Builder setUint64Tensor(Mlmodel.FlatTensorDataUInt64.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

mergeUint64Tensor

public Mlmodel.FlatTensor.Builder mergeUint64Tensor(Mlmodel.FlatTensorDataUInt64 value)

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

clearUint64Tensor

public Mlmodel.FlatTensor.Builder clearUint64Tensor()

.viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];

hasFloatTensor

public boolean hasFloatTensor()

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

Specified by:

hasFloatTensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the floatTensor field is set.

getFloatTensor

public Mlmodel.FlatTensorDataFloat getFloatTensor()

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

Specified by:

getFloatTensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The floatTensor.

setFloatTensor

public Mlmodel.FlatTensor.Builder setFloatTensor(Mlmodel.FlatTensorDataFloat value)

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

setFloatTensor

public Mlmodel.FlatTensor.Builder setFloatTensor(Mlmodel.FlatTensorDataFloat.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

mergeFloatTensor

public Mlmodel.FlatTensor.Builder mergeFloatTensor(Mlmodel.FlatTensorDataFloat value)

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

clearFloatTensor

public Mlmodel.FlatTensor.Builder clearFloatTensor()

.viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];

hasDoubleTensor

public boolean hasDoubleTensor()

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];

Specified by:

hasDoubleTensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

Whether the doubleTensor field is set.

getDoubleTensor

public Mlmodel.FlatTensorDataDouble getDoubleTensor()

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];

Specified by:

getDoubleTensor in interface Mlmodel.FlatTensorOrBuilder

Returns:

The doubleTensor.

setDoubleTensor

public Mlmodel.FlatTensor.Builder setDoubleTensor(Mlmodel.FlatTensorDataDouble value)

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];

setDoubleTensor

public Mlmodel.FlatTensor.Builder setDoubleTensor(Mlmodel.FlatTensorDataDouble.Builder builderForValue)

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];

mergeDoubleTensor

public Mlmodel.FlatTensor.Builder mergeDoubleTensor(Mlmodel.FlatTensorDataDouble value)

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];

clearDoubleTensor

public Mlmodel.FlatTensor.Builder clearDoubleTensor()

.viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];