org.tensorflow.framework

Class RewriterConfig.Builder

java.lang.Object

org.nd4j.shade.protobuf.AbstractMessageLite.Builder

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

org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

org.tensorflow.framework.RewriterConfig.Builder

All Implemented Interfaces:

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

Enclosing class:

RewriterConfig

public static final class RewriterConfig.Builder
extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
implements RewriterConfigOrBuilder

 Graph rewriting is experimental and subject to change, not covered by any
 API stability guarantees.
 

Protobuf type tensorflow.RewriterConfig

Method Summary

Modifier and Type	Method and Description
RewriterConfig.Builder	addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer> values) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	addAllOptimizers(Iterable<String> values) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Builder	addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	addCustomOptimizers(RewriterConfig.CustomGraphOptimizer value) list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder	addCustomOptimizersBuilder() list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder	addCustomOptimizersBuilder(int index) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	addOptimizers(String value) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Builder	addOptimizersBytes(org.nd4j.shade.protobuf.ByteString value) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Builder	addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
RewriterConfig	build()
RewriterConfig	buildPartial()
RewriterConfig.Builder	clear()
RewriterConfig.Builder	clearArithmeticOptimization() Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Builder	clearAutoParallel() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder	clearConstantFolding() Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.Builder	clearCustomOptimizers() list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	clearDebugStripper() Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder	clearDependencyOptimization() Control dependency optimizations (default is ON).
RewriterConfig.Builder	clearDisableModelPruning() If true, don't remove unnecessary ops from the graph
RewriterConfig.Builder	clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
RewriterConfig.Builder	clearFunctionOptimization() Function optimizations (default is ON).
RewriterConfig.Builder	clearLayoutOptimizer() Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Builder	clearLoopOptimization() Loop optimizations (default is ON).
RewriterConfig.Builder	clearMemoryOptimization() Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder	clearMemoryOptimizerTargetNodeNameScope() A node name scope for node names which are valid outputs of recompuations.
RewriterConfig.Builder	clearMetaOptimizerIterations() Controls how many times we run the optimizers in meta optimizer (default is once).
RewriterConfig.Builder	clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
RewriterConfig.Builder	clearOptimizers() If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Builder	clearRemapping() Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder	clearScopedAllocatorOptimization() Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
RewriterConfig.Builder	clearScopedAllocatorOpts() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder	clearShapeOptimization() Shape optimizations (default is ON) Simplify computations made on shapes.
RewriterConfig.Builder	clone()
RewriterConfig.Toggle	getArithmeticOptimization() Arithmetic optimizations (default is ON) e.g.
int	getArithmeticOptimizationValue() Arithmetic optimizations (default is ON) e.g.
AutoParallelOptions	getAutoParallel() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptions.Builder	getAutoParallelBuilder() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Toggle	getConstantFolding() Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
int	getConstantFoldingValue() Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers(int index) list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder	getCustomOptimizersBuilder(int index) list of CustomGraphOptimizers to apply.
List<RewriterConfig.CustomGraphOptimizer.Builder>	getCustomOptimizersBuilderList() list of CustomGraphOptimizers to apply.
int	getCustomOptimizersCount() list of CustomGraphOptimizers to apply.
List<RewriterConfig.CustomGraphOptimizer>	getCustomOptimizersList() list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder(int index) list of CustomGraphOptimizers to apply.
List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder>	getCustomOptimizersOrBuilderList() list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper() Strips debug-related nodes from the graph (off by default).
int	getDebugStripperValue() Strips debug-related nodes from the graph (off by default).
RewriterConfig	getDefaultInstanceForType()
RewriterConfig.Toggle	getDependencyOptimization() Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue() Control dependency optimizations (default is ON).
static org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptor()
org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptorForType()
boolean	getDisableModelPruning() If true, don't remove unnecessary ops from the graph
RewriterConfig.Toggle	getFunctionOptimization() Function optimizations (default is ON).
int	getFunctionOptimizationValue() Function optimizations (default is ON).
RewriterConfig.Toggle	getLayoutOptimizer() Optimize tensor layouts (default is ON) e.g.
int	getLayoutOptimizerValue() Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization() Loop optimizations (default is ON).
int	getLoopOptimizationValue() Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization() Configures memory optimization passes through the meta-optimizer.
int	getMemoryOptimizationValue() Configures memory optimization passes through the meta-optimizer.
String	getMemoryOptimizerTargetNodeNameScope() A node name scope for node names which are valid outputs of recompuations.
org.nd4j.shade.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes() A node name scope for node names which are valid outputs of recompuations.
RewriterConfig.NumIterationsType	getMetaOptimizerIterations() Controls how many times we run the optimizers in meta optimizer (default is once).
int	getMetaOptimizerIterationsValue() Controls how many times we run the optimizers in meta optimizer (default is once).
String	getOptimizers(int index) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
org.nd4j.shade.protobuf.ByteString	getOptimizersBytes(int index) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
int	getOptimizersCount() If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
org.nd4j.shade.protobuf.ProtocolStringList	getOptimizersList() If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Toggle	getRemapping() Remapping (default is ON) Remap subgraphs onto more efficient implementations.
int	getRemappingValue() Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization() Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
int	getScopedAllocatorOptimizationValue() Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
ScopedAllocatorOptions	getScopedAllocatorOpts() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptions.Builder	getScopedAllocatorOptsBuilder() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Toggle	getShapeOptimization() Shape optimizations (default is ON) Simplify computations made on shapes.
int	getShapeOptimizationValue() Shape optimizations (default is ON) Simplify computations made on shapes.
boolean	hasAutoParallel() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
boolean	hasScopedAllocatorOpts() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
RewriterConfig.Builder	mergeAutoParallel(AutoParallelOptions value) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder	mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig.Builder	mergeFrom(org.nd4j.shade.protobuf.Message other)
RewriterConfig.Builder	mergeFrom(RewriterConfig other)
RewriterConfig.Builder	mergeScopedAllocatorOpts(ScopedAllocatorOptions value) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder	mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
RewriterConfig.Builder	removeCustomOptimizers(int index) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	setArithmeticOptimization(RewriterConfig.Toggle value) Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Builder	setArithmeticOptimizationValue(int value) Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Builder	setAutoParallel(AutoParallelOptions.Builder builderForValue) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder	setAutoParallel(AutoParallelOptions value) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder	setConstantFolding(RewriterConfig.Toggle value) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.Builder	setConstantFoldingValue(int value) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.Builder	setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value) list of CustomGraphOptimizers to apply.
RewriterConfig.Builder	setDebugStripper(RewriterConfig.Toggle value) Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder	setDebugStripperValue(int value) Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder	setDependencyOptimization(RewriterConfig.Toggle value) Control dependency optimizations (default is ON).
RewriterConfig.Builder	setDependencyOptimizationValue(int value) Control dependency optimizations (default is ON).
RewriterConfig.Builder	setDisableModelPruning(boolean value) If true, don't remove unnecessary ops from the graph
RewriterConfig.Builder	setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
RewriterConfig.Builder	setFunctionOptimization(RewriterConfig.Toggle value) Function optimizations (default is ON).
RewriterConfig.Builder	setFunctionOptimizationValue(int value) Function optimizations (default is ON).
RewriterConfig.Builder	setLayoutOptimizer(RewriterConfig.Toggle value) Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Builder	setLayoutOptimizerValue(int value) Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Builder	setLoopOptimization(RewriterConfig.Toggle value) Loop optimizations (default is ON).
RewriterConfig.Builder	setLoopOptimizationValue(int value) Loop optimizations (default is ON).
RewriterConfig.Builder	setMemoryOptimization(RewriterConfig.MemOptType value) Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder	setMemoryOptimizationValue(int value) Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder	setMemoryOptimizerTargetNodeNameScope(String value) A node name scope for node names which are valid outputs of recompuations.
RewriterConfig.Builder	setMemoryOptimizerTargetNodeNameScopeBytes(org.nd4j.shade.protobuf.ByteString value) A node name scope for node names which are valid outputs of recompuations.
RewriterConfig.Builder	setMetaOptimizerIterations(RewriterConfig.NumIterationsType value) Controls how many times we run the optimizers in meta optimizer (default is once).
RewriterConfig.Builder	setMetaOptimizerIterationsValue(int value) Controls how many times we run the optimizers in meta optimizer (default is once).
RewriterConfig.Builder	setOptimizers(int index, String value) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
RewriterConfig.Builder	setRemapping(RewriterConfig.Toggle value) Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder	setRemappingValue(int value) Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder	setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
RewriterConfig.Builder	setScopedAllocatorOptimization(RewriterConfig.Toggle value) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
RewriterConfig.Builder	setScopedAllocatorOptimizationValue(int value) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
RewriterConfig.Builder	setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder	setScopedAllocatorOpts(ScopedAllocatorOptions value) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder	setShapeOptimization(RewriterConfig.Toggle value) Shape optimizations (default is ON) Simplify computations made on shapes.
RewriterConfig.Builder	setShapeOptimizationValue(int value) Shape optimizations (default is ON) Simplify computations made on shapes.
RewriterConfig.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<RewriterConfig.Builder>

clear

public RewriterConfig.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<RewriterConfig.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<RewriterConfig.Builder>

getDefaultInstanceForType

public RewriterConfig getDefaultInstanceForType()

Specified by:

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

Specified by:

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

build

public RewriterConfig 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 RewriterConfig 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 RewriterConfig.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<RewriterConfig.Builder>

setField

public RewriterConfig.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<RewriterConfig.Builder>

clearField

public RewriterConfig.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<RewriterConfig.Builder>

clearOneof

public RewriterConfig.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<RewriterConfig.Builder>

setRepeatedField

public RewriterConfig.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<RewriterConfig.Builder>

addRepeatedField

public RewriterConfig.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<RewriterConfig.Builder>

mergeFrom

public RewriterConfig.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<RewriterConfig.Builder>

mergeFrom

public RewriterConfig.Builder mergeFrom(RewriterConfig 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<RewriterConfig.Builder>

mergeFrom

public RewriterConfig.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<RewriterConfig.Builder>

Throws:

IOException

getLayoutOptimizerValue

public int getLayoutOptimizerValue()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

Specified by:

getLayoutOptimizerValue in interface RewriterConfigOrBuilder

setLayoutOptimizerValue

public RewriterConfig.Builder setLayoutOptimizerValue(int value)

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

getLayoutOptimizer

public RewriterConfig.Toggle getLayoutOptimizer()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

Specified by:

getLayoutOptimizer in interface RewriterConfigOrBuilder

setLayoutOptimizer

public RewriterConfig.Builder setLayoutOptimizer(RewriterConfig.Toggle value)

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

clearLayoutOptimizer

public RewriterConfig.Builder clearLayoutOptimizer()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

getConstantFoldingValue

public int getConstantFoldingValue()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

Specified by:

getConstantFoldingValue in interface RewriterConfigOrBuilder

setConstantFoldingValue

public RewriterConfig.Builder setConstantFoldingValue(int value)

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getConstantFolding

public RewriterConfig.Toggle getConstantFolding()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

Specified by:

getConstantFolding in interface RewriterConfigOrBuilder

setConstantFolding

public RewriterConfig.Builder setConstantFolding(RewriterConfig.Toggle value)

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

clearConstantFolding

public RewriterConfig.Builder clearConstantFolding()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getShapeOptimizationValue

public int getShapeOptimizationValue()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

Specified by:

getShapeOptimizationValue in interface RewriterConfigOrBuilder

setShapeOptimizationValue

public RewriterConfig.Builder setShapeOptimizationValue(int value)

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

getShapeOptimization

public RewriterConfig.Toggle getShapeOptimization()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

Specified by:

getShapeOptimization in interface RewriterConfigOrBuilder

setShapeOptimization

public RewriterConfig.Builder setShapeOptimization(RewriterConfig.Toggle value)

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

clearShapeOptimization

public RewriterConfig.Builder clearShapeOptimization()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

getRemappingValue

public int getRemappingValue()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

Specified by:

getRemappingValue in interface RewriterConfigOrBuilder

setRemappingValue

public RewriterConfig.Builder setRemappingValue(int value)

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

getRemapping

public RewriterConfig.Toggle getRemapping()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

Specified by:

getRemapping in interface RewriterConfigOrBuilder

setRemapping

public RewriterConfig.Builder setRemapping(RewriterConfig.Toggle value)

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

clearRemapping

public RewriterConfig.Builder clearRemapping()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

getArithmeticOptimizationValue

public int getArithmeticOptimizationValue()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

Specified by:

getArithmeticOptimizationValue in interface RewriterConfigOrBuilder

setArithmeticOptimizationValue

public RewriterConfig.Builder setArithmeticOptimizationValue(int value)

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

getArithmeticOptimization

public RewriterConfig.Toggle getArithmeticOptimization()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

Specified by:

getArithmeticOptimization in interface RewriterConfigOrBuilder

setArithmeticOptimization

public RewriterConfig.Builder setArithmeticOptimization(RewriterConfig.Toggle value)

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

clearArithmeticOptimization

public RewriterConfig.Builder clearArithmeticOptimization()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

getDependencyOptimizationValue

public int getDependencyOptimizationValue()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

Specified by:

getDependencyOptimizationValue in interface RewriterConfigOrBuilder

setDependencyOptimizationValue

public RewriterConfig.Builder setDependencyOptimizationValue(int value)

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getDependencyOptimization

public RewriterConfig.Toggle getDependencyOptimization()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

Specified by:

getDependencyOptimization in interface RewriterConfigOrBuilder

setDependencyOptimization

public RewriterConfig.Builder setDependencyOptimization(RewriterConfig.Toggle value)

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

clearDependencyOptimization

public RewriterConfig.Builder clearDependencyOptimization()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getLoopOptimizationValue

public int getLoopOptimizationValue()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

Specified by:

getLoopOptimizationValue in interface RewriterConfigOrBuilder

setLoopOptimizationValue

public RewriterConfig.Builder setLoopOptimizationValue(int value)

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getLoopOptimization

public RewriterConfig.Toggle getLoopOptimization()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

Specified by:

getLoopOptimization in interface RewriterConfigOrBuilder

setLoopOptimization

public RewriterConfig.Builder setLoopOptimization(RewriterConfig.Toggle value)

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

clearLoopOptimization

public RewriterConfig.Builder clearLoopOptimization()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getFunctionOptimizationValue

public int getFunctionOptimizationValue()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

Specified by:

getFunctionOptimizationValue in interface RewriterConfigOrBuilder

setFunctionOptimizationValue

public RewriterConfig.Builder setFunctionOptimizationValue(int value)

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

getFunctionOptimization

public RewriterConfig.Toggle getFunctionOptimization()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

Specified by:

getFunctionOptimization in interface RewriterConfigOrBuilder

setFunctionOptimization

public RewriterConfig.Builder setFunctionOptimization(RewriterConfig.Toggle value)

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

clearFunctionOptimization

public RewriterConfig.Builder clearFunctionOptimization()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

getDebugStripperValue

public int getDebugStripperValue()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

Specified by:

getDebugStripperValue in interface RewriterConfigOrBuilder

setDebugStripperValue

public RewriterConfig.Builder setDebugStripperValue(int value)

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

getDebugStripper

public RewriterConfig.Toggle getDebugStripper()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

Specified by:

getDebugStripper in interface RewriterConfigOrBuilder

setDebugStripper

public RewriterConfig.Builder setDebugStripper(RewriterConfig.Toggle value)

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

clearDebugStripper

public RewriterConfig.Builder clearDebugStripper()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

getDisableModelPruning

public boolean getDisableModelPruning()

 If true, don't remove unnecessary ops from the graph
 

bool disable_model_pruning = 2;

Specified by:

getDisableModelPruning in interface RewriterConfigOrBuilder

setDisableModelPruning

public RewriterConfig.Builder setDisableModelPruning(boolean value)

 If true, don't remove unnecessary ops from the graph
 

bool disable_model_pruning = 2;

clearDisableModelPruning

public RewriterConfig.Builder clearDisableModelPruning()

 If true, don't remove unnecessary ops from the graph
 

bool disable_model_pruning = 2;

getScopedAllocatorOptimizationValue

public int getScopedAllocatorOptimizationValue()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

Specified by:

getScopedAllocatorOptimizationValue in interface RewriterConfigOrBuilder

setScopedAllocatorOptimizationValue

public RewriterConfig.Builder setScopedAllocatorOptimizationValue(int value)

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

getScopedAllocatorOptimization

public RewriterConfig.Toggle getScopedAllocatorOptimization()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

Specified by:

getScopedAllocatorOptimization in interface RewriterConfigOrBuilder

setScopedAllocatorOptimization

public RewriterConfig.Builder setScopedAllocatorOptimization(RewriterConfig.Toggle value)

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

clearScopedAllocatorOptimization

public RewriterConfig.Builder clearScopedAllocatorOptimization()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

getMetaOptimizerIterationsValue

public int getMetaOptimizerIterationsValue()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

Specified by:

getMetaOptimizerIterationsValue in interface RewriterConfigOrBuilder

setMetaOptimizerIterationsValue

public RewriterConfig.Builder setMetaOptimizerIterationsValue(int value)

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

getMetaOptimizerIterations

public RewriterConfig.NumIterationsType getMetaOptimizerIterations()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

Specified by:

getMetaOptimizerIterations in interface RewriterConfigOrBuilder

setMetaOptimizerIterations

public RewriterConfig.Builder setMetaOptimizerIterations(RewriterConfig.NumIterationsType value)

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

clearMetaOptimizerIterations

public RewriterConfig.Builder clearMetaOptimizerIterations()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

getMemoryOptimizationValue

public int getMemoryOptimizationValue()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

Specified by:

getMemoryOptimizationValue in interface RewriterConfigOrBuilder

setMemoryOptimizationValue

public RewriterConfig.Builder setMemoryOptimizationValue(int value)

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

getMemoryOptimization

public RewriterConfig.MemOptType getMemoryOptimization()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

Specified by:

getMemoryOptimization in interface RewriterConfigOrBuilder

setMemoryOptimization

public RewriterConfig.Builder setMemoryOptimization(RewriterConfig.MemOptType value)

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

clearMemoryOptimization

public RewriterConfig.Builder clearMemoryOptimization()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

getMemoryOptimizerTargetNodeNameScope

public String getMemoryOptimizerTargetNodeNameScope()

 A node name scope for node names which are valid outputs of recompuations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

Specified by:

getMemoryOptimizerTargetNodeNameScope in interface RewriterConfigOrBuilder

getMemoryOptimizerTargetNodeNameScopeBytes

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

 A node name scope for node names which are valid outputs of recompuations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

Specified by:

getMemoryOptimizerTargetNodeNameScopeBytes in interface RewriterConfigOrBuilder

setMemoryOptimizerTargetNodeNameScope

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope(String value)

 A node name scope for node names which are valid outputs of recompuations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

clearMemoryOptimizerTargetNodeNameScope

public RewriterConfig.Builder clearMemoryOptimizerTargetNodeNameScope()

 A node name scope for node names which are valid outputs of recompuations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

setMemoryOptimizerTargetNodeNameScopeBytes

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes(org.nd4j.shade.protobuf.ByteString value)

 A node name scope for node names which are valid outputs of recompuations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

hasAutoParallel

public boolean hasAutoParallel()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:

hasAutoParallel in interface RewriterConfigOrBuilder

getAutoParallel

public AutoParallelOptions getAutoParallel()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:

getAutoParallel in interface RewriterConfigOrBuilder

setAutoParallel

public RewriterConfig.Builder setAutoParallel(AutoParallelOptions value)

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

setAutoParallel

public RewriterConfig.Builder setAutoParallel(AutoParallelOptions.Builder builderForValue)

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

mergeAutoParallel

public RewriterConfig.Builder mergeAutoParallel(AutoParallelOptions value)

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

clearAutoParallel

public RewriterConfig.Builder clearAutoParallel()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallelBuilder

public AutoParallelOptions.Builder getAutoParallelBuilder()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallelOrBuilder

public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:

getAutoParallelOrBuilder in interface RewriterConfigOrBuilder

hasScopedAllocatorOpts

public boolean hasScopedAllocatorOpts()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

hasScopedAllocatorOpts in interface RewriterConfigOrBuilder

getScopedAllocatorOpts

public ScopedAllocatorOptions getScopedAllocatorOpts()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOpts in interface RewriterConfigOrBuilder

setScopedAllocatorOpts

public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions value)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

setScopedAllocatorOpts

public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

mergeScopedAllocatorOpts

public RewriterConfig.Builder mergeScopedAllocatorOpts(ScopedAllocatorOptions value)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

clearScopedAllocatorOpts

public RewriterConfig.Builder clearScopedAllocatorOpts()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsBuilder

public ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsOrBuilder

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOptsOrBuilder in interface RewriterConfigOrBuilder

getOptimizersList

public org.nd4j.shade.protobuf.ProtocolStringList getOptimizersList()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersList in interface RewriterConfigOrBuilder

getOptimizersCount

public int getOptimizersCount()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersCount in interface RewriterConfigOrBuilder

getOptimizers

public String getOptimizers(int index)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizers in interface RewriterConfigOrBuilder

getOptimizersBytes

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

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersBytes in interface RewriterConfigOrBuilder

setOptimizers

public RewriterConfig.Builder setOptimizers(int index,
                                            String value)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

addOptimizers

public RewriterConfig.Builder addOptimizers(String value)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

addAllOptimizers

public RewriterConfig.Builder addAllOptimizers(Iterable<String> values)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

clearOptimizers

public RewriterConfig.Builder clearOptimizers()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

addOptimizersBytes

public RewriterConfig.Builder addOptimizersBytes(org.nd4j.shade.protobuf.ByteString value)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;

getCustomOptimizersList

public List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersList in interface RewriterConfigOrBuilder

getCustomOptimizersCount

public int getCustomOptimizersCount()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersCount in interface RewriterConfigOrBuilder

getCustomOptimizers

public RewriterConfig.CustomGraphOptimizer getCustomOptimizers(int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizers in interface RewriterConfigOrBuilder

setCustomOptimizers

public RewriterConfig.Builder setCustomOptimizers(int index,
                                                  RewriterConfig.CustomGraphOptimizer value)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

setCustomOptimizers

public RewriterConfig.Builder setCustomOptimizers(int index,
                                                  RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addCustomOptimizers

public RewriterConfig.Builder addCustomOptimizers(RewriterConfig.CustomGraphOptimizer value)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addCustomOptimizers

public RewriterConfig.Builder addCustomOptimizers(int index,
                                                  RewriterConfig.CustomGraphOptimizer value)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addCustomOptimizers

public RewriterConfig.Builder addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addCustomOptimizers

public RewriterConfig.Builder addCustomOptimizers(int index,
                                                  RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addAllCustomOptimizers

public RewriterConfig.Builder addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer> values)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

clearCustomOptimizers

public RewriterConfig.Builder clearCustomOptimizers()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

removeCustomOptimizers

public RewriterConfig.Builder removeCustomOptimizers(int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

getCustomOptimizersBuilder

public RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder(int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

getCustomOptimizersOrBuilder

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder(int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersOrBuilder in interface RewriterConfigOrBuilder

getCustomOptimizersOrBuilderList

public List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder> getCustomOptimizersOrBuilderList()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersOrBuilderList in interface RewriterConfigOrBuilder

addCustomOptimizersBuilder

public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

addCustomOptimizersBuilder

public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder(int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

getCustomOptimizersBuilderList

public List<RewriterConfig.CustomGraphOptimizer.Builder> getCustomOptimizersBuilderList()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

setUnknownFields

public final RewriterConfig.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<RewriterConfig.Builder>

mergeUnknownFields

public final RewriterConfig.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<RewriterConfig.Builder>