Class UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

com.google.protobuf.GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder

All Implemented Interfaces:

Message.Builder, MessageLite.Builder, MessageLiteOrBuilder, MessageOrBuilder, Cloneable, UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Enclosing class:

UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr

public static final class UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
extends GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>
implements UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Describes the dimension numbers for Convolution op. Corresponds to
::mlir::mhlo::ConvDimensionNumbersAttr.

Protobuf type tensorflow.UniformQuantizedConvolutionDimensionNumbersAttr

Method Summary

Modifier and Type	Method	Description
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addAllInputSpatialDimensions(Iterable<? extends Long> values)	The dimensions that represents spatial dimensions in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addAllKernelSpatialDimensions(Iterable<? extends Long> values)	The dimensions that represents spatial dimensions in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addAllOutputSpatialDimensions(Iterable<? extends Long> values)	The dimensions that represents spatial dimensions in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addInputSpatialDimensions(long value)	The dimensions that represents spatial dimensions in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addKernelSpatialDimensions(long value)	The dimensions that represents spatial dimensions in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addOutputSpatialDimensions(long value)	The dimensions that represents spatial dimensions in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	addRepeatedField(Descriptors.FieldDescriptor field, Object value)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr	build()
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr	buildPartial()
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clear()
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearField(Descriptors.FieldDescriptor field)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearInputBatchDimension()	The dimension that represents batch in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearInputFeatureDimension()	The dimension that represents features in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearInputSpatialDimensions()	The dimensions that represents spatial dimensions in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearKernelInputFeatureDimension()	The dimension that represents input features in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearKernelOutputFeatureDimension()	The dimension that represents output features in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearKernelSpatialDimensions()	The dimensions that represents spatial dimensions in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearOneof(Descriptors.OneofDescriptor oneof)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearOutputBatchDimension()	The dimension that represents batch in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearOutputFeatureDimension()	The dimension that represents features in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clearOutputSpatialDimensions()	The dimensions that represents spatial dimensions in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	clone()
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr	getDefaultInstanceForType()
static final Descriptors.Descriptor	getDescriptor()
Descriptors.Descriptor	getDescriptorForType()
long	getInputBatchDimension()	The dimension that represents batch in the input.
long	getInputFeatureDimension()	The dimension that represents features in the input.
long	getInputSpatialDimensions(int index)	The dimensions that represents spatial dimensions in the input.
int	getInputSpatialDimensionsCount()	The dimensions that represents spatial dimensions in the input.
List<Long>	getInputSpatialDimensionsList()	The dimensions that represents spatial dimensions in the input.
long	getKernelInputFeatureDimension()	The dimension that represents input features in the kernel (rhs).
long	getKernelOutputFeatureDimension()	The dimension that represents output features in the kernel (rhs).
long	getKernelSpatialDimensions(int index)	The dimensions that represents spatial dimensions in the kernel (rhs).
int	getKernelSpatialDimensionsCount()	The dimensions that represents spatial dimensions in the kernel (rhs).
List<Long>	getKernelSpatialDimensionsList()	The dimensions that represents spatial dimensions in the kernel (rhs).
long	getOutputBatchDimension()	The dimension that represents batch in the output.
long	getOutputFeatureDimension()	The dimension that represents features in the output.
long	getOutputSpatialDimensions(int index)	The dimensions that represents spatial dimensions in the output.
int	getOutputSpatialDimensionsCount()	The dimensions that represents spatial dimensions in the output.
List<Long>	getOutputSpatialDimensionsList()	The dimensions that represents spatial dimensions in the output.
protected GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	mergeFrom(Message other)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	mergeFrom(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr other)
final UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	mergeUnknownFields(UnknownFieldSet unknownFields)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setField(Descriptors.FieldDescriptor field, Object value)
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setInputBatchDimension(long value)	The dimension that represents batch in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setInputFeatureDimension(long value)	The dimension that represents features in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setInputSpatialDimensions(int index, long value)	The dimensions that represents spatial dimensions in the input.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setKernelInputFeatureDimension(long value)	The dimension that represents input features in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setKernelOutputFeatureDimension(long value)	The dimension that represents output features in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setKernelSpatialDimensions(int index, long value)	The dimensions that represents spatial dimensions in the kernel (rhs).
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setOutputBatchDimension(long value)	The dimension that represents batch in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setOutputFeatureDimension(long value)	The dimension that represents features in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setOutputSpatialDimensions(int index, long value)	The dimensions that represents spatial dimensions in the output.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
final UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder	setUnknownFields(UnknownFieldSet unknownFields)

Methods inherited from class GeneratedMessageV3.Builder

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

Methods inherited from class AbstractMessage.Builder

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

Methods inherited from class AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class Object

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

Methods inherited from interface Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface MessageLite.Builder

mergeFrom

Methods inherited from interface MessageOrBuilder

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

Method Details

getDescriptor

public static final Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

clear

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clear()

Specified by:

clear in interface Message.Builder

Specified by:

clear in interface MessageLite.Builder

Overrides:

clear in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

getDescriptorForType

public Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface Message.Builder

Specified by:

getDescriptorForType in interface MessageOrBuilder

Overrides:

getDescriptorForType in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

getDefaultInstanceForType

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface MessageOrBuilder

build

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr build()

Specified by:

build in interface Message.Builder

Specified by:

build in interface MessageLite.Builder

buildPartial

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr buildPartial()

Specified by:

buildPartial in interface Message.Builder

Specified by:

buildPartial in interface MessageLite.Builder

clone

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clone()

Specified by:

clone in interface Message.Builder

Specified by:

clone in interface MessageLite.Builder

Overrides:

clone in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

setField

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setField(Descriptors.FieldDescriptor field,
 Object value)

Specified by:

setField in interface Message.Builder

Overrides:

setField in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

clearField

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearField(Descriptors.FieldDescriptor field)

Specified by:

clearField in interface Message.Builder

Overrides:

clearField in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

clearOneof

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface Message.Builder

Overrides:

clearOneof in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

setRepeatedField

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setRepeatedField(Descriptors.FieldDescriptor field,
 int index,
 Object value)

Specified by:

setRepeatedField in interface Message.Builder

Overrides:

setRepeatedField in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

addRepeatedField

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addRepeatedField(Descriptors.FieldDescriptor field,
 Object value)

Specified by:

addRepeatedField in interface Message.Builder

Overrides:

addRepeatedField in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

mergeFrom

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder mergeFrom(Message other)

Specified by:

mergeFrom in interface Message.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

mergeFrom

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder mergeFrom(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface MessageLiteOrBuilder

Overrides:

isInitialized in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

mergeFrom

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder mergeFrom(CodedInputStream input,
 ExtensionRegistryLite extensionRegistry)
                                                                                      throws IOException

Specified by:

mergeFrom in interface Message.Builder

Specified by:

mergeFrom in interface MessageLite.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

Throws:

IOException

getInputBatchDimension

public long getInputBatchDimension()

The dimension that represents batch in the input.

int64 input_batch_dimension = 1;

Specified by:

getInputBatchDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The inputBatchDimension.

setInputBatchDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setInputBatchDimension(long value)

The dimension that represents batch in the input.

int64 input_batch_dimension = 1;

Parameters:

value - The inputBatchDimension to set.

Returns:

This builder for chaining.

clearInputBatchDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearInputBatchDimension()

The dimension that represents batch in the input.

int64 input_batch_dimension = 1;

Returns:

This builder for chaining.

getInputFeatureDimension

public long getInputFeatureDimension()

The dimension that represents features in the input.

int64 input_feature_dimension = 2;

Specified by:

getInputFeatureDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The inputFeatureDimension.

setInputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setInputFeatureDimension(long value)

The dimension that represents features in the input.

int64 input_feature_dimension = 2;

Parameters:

value - The inputFeatureDimension to set.

Returns:

This builder for chaining.

clearInputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearInputFeatureDimension()

The dimension that represents features in the input.

int64 input_feature_dimension = 2;

Returns:

This builder for chaining.

getInputSpatialDimensionsList

public List<Long> getInputSpatialDimensionsList()

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Specified by:

getInputSpatialDimensionsList in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

A list containing the inputSpatialDimensions.

getInputSpatialDimensionsCount

public int getInputSpatialDimensionsCount()

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Specified by:

getInputSpatialDimensionsCount in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The count of inputSpatialDimensions.

getInputSpatialDimensions

public long getInputSpatialDimensions(int index)

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Specified by:

getInputSpatialDimensions in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The inputSpatialDimensions at the given index.

setInputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setInputSpatialDimensions(int index,
 long value)

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Parameters:

index - The index to set the value at.

value - The inputSpatialDimensions to set.

Returns:

This builder for chaining.

addInputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addInputSpatialDimensions(long value)

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Parameters:

value - The inputSpatialDimensions to add.

Returns:

This builder for chaining.

addAllInputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addAllInputSpatialDimensions(Iterable<? extends Long> values)

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Parameters:

values - The inputSpatialDimensions to add.

Returns:

This builder for chaining.

clearInputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearInputSpatialDimensions()

The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.

repeated int64 input_spatial_dimensions = 3;

Returns:

This builder for chaining.

getKernelInputFeatureDimension

public long getKernelInputFeatureDimension()

The dimension that represents input features in the kernel (rhs).

int64 kernel_input_feature_dimension = 4;

Specified by:

getKernelInputFeatureDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The kernelInputFeatureDimension.

setKernelInputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setKernelInputFeatureDimension(long value)

The dimension that represents input features in the kernel (rhs).

int64 kernel_input_feature_dimension = 4;

Parameters:

value - The kernelInputFeatureDimension to set.

Returns:

This builder for chaining.

clearKernelInputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearKernelInputFeatureDimension()

The dimension that represents input features in the kernel (rhs).

int64 kernel_input_feature_dimension = 4;

Returns:

This builder for chaining.

getKernelOutputFeatureDimension

public long getKernelOutputFeatureDimension()

The dimension that represents output features in the kernel (rhs).

int64 kernel_output_feature_dimension = 5;

Specified by:

getKernelOutputFeatureDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The kernelOutputFeatureDimension.

setKernelOutputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setKernelOutputFeatureDimension(long value)

The dimension that represents output features in the kernel (rhs).

int64 kernel_output_feature_dimension = 5;

Parameters:

value - The kernelOutputFeatureDimension to set.

Returns:

This builder for chaining.

clearKernelOutputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearKernelOutputFeatureDimension()

The dimension that represents output features in the kernel (rhs).

int64 kernel_output_feature_dimension = 5;

Returns:

This builder for chaining.

getKernelSpatialDimensionsList

public List<Long> getKernelSpatialDimensionsList()

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Specified by:

getKernelSpatialDimensionsList in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

A list containing the kernelSpatialDimensions.

getKernelSpatialDimensionsCount

public int getKernelSpatialDimensionsCount()

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Specified by:

getKernelSpatialDimensionsCount in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The count of kernelSpatialDimensions.

getKernelSpatialDimensions

public long getKernelSpatialDimensions(int index)

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Specified by:

getKernelSpatialDimensions in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The kernelSpatialDimensions at the given index.

setKernelSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setKernelSpatialDimensions(int index,
 long value)

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Parameters:

index - The index to set the value at.

value - The kernelSpatialDimensions to set.

Returns:

This builder for chaining.

addKernelSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addKernelSpatialDimensions(long value)

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Parameters:

value - The kernelSpatialDimensions to add.

Returns:

This builder for chaining.

addAllKernelSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addAllKernelSpatialDimensions(Iterable<? extends Long> values)

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Parameters:

values - The kernelSpatialDimensions to add.

Returns:

This builder for chaining.

clearKernelSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearKernelSpatialDimensions()

The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.

repeated int64 kernel_spatial_dimensions = 6;

Returns:

This builder for chaining.

getOutputBatchDimension

public long getOutputBatchDimension()

The dimension that represents batch in the output.

int64 output_batch_dimension = 7;

Specified by:

getOutputBatchDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The outputBatchDimension.

setOutputBatchDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setOutputBatchDimension(long value)

The dimension that represents batch in the output.

int64 output_batch_dimension = 7;

Parameters:

value - The outputBatchDimension to set.

Returns:

This builder for chaining.

clearOutputBatchDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearOutputBatchDimension()

The dimension that represents batch in the output.

int64 output_batch_dimension = 7;

Returns:

This builder for chaining.

getOutputFeatureDimension

public long getOutputFeatureDimension()

The dimension that represents features in the output.

int64 output_feature_dimension = 8;

Specified by:

getOutputFeatureDimension in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The outputFeatureDimension.

setOutputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setOutputFeatureDimension(long value)

The dimension that represents features in the output.

int64 output_feature_dimension = 8;

Parameters:

value - The outputFeatureDimension to set.

Returns:

This builder for chaining.

clearOutputFeatureDimension

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearOutputFeatureDimension()

The dimension that represents features in the output.

int64 output_feature_dimension = 8;

Returns:

This builder for chaining.

getOutputSpatialDimensionsList

public List<Long> getOutputSpatialDimensionsList()

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Specified by:

getOutputSpatialDimensionsList in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

A list containing the outputSpatialDimensions.

getOutputSpatialDimensionsCount

public int getOutputSpatialDimensionsCount()

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Specified by:

getOutputSpatialDimensionsCount in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Returns:

The count of outputSpatialDimensions.

getOutputSpatialDimensions

public long getOutputSpatialDimensions(int index)

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Specified by:

getOutputSpatialDimensions in interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The outputSpatialDimensions at the given index.

setOutputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setOutputSpatialDimensions(int index,
 long value)

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Parameters:

index - The index to set the value at.

value - The outputSpatialDimensions to set.

Returns:

This builder for chaining.

addOutputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addOutputSpatialDimensions(long value)

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Parameters:

value - The outputSpatialDimensions to add.

Returns:

This builder for chaining.

addAllOutputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder addAllOutputSpatialDimensions(Iterable<? extends Long> values)

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Parameters:

values - The outputSpatialDimensions to add.

Returns:

This builder for chaining.

clearOutputSpatialDimensions

public UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder clearOutputSpatialDimensions()

The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.

repeated int64 output_spatial_dimensions = 9;

Returns:

This builder for chaining.

setUnknownFields

public final UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder setUnknownFields(UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface Message.Builder

Overrides:

setUnknownFields in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>

mergeUnknownFields

public final UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface Message.Builder

Overrides:

mergeUnknownFields in class GeneratedMessageV3.Builder<UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder>