org.tensorflow.framework

Class RewriterConfig

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

org.tensorflow.framework.RewriterConfig

All Implemented Interfaces:

com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.io.Serializable, RewriterConfigOrBuilder

public final class RewriterConfig
extends com.google.protobuf.GeneratedMessageV3
implements RewriterConfigOrBuilder

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

Protobuf type tensorflow.RewriterConfig

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RewriterConfig.Builder Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
static class	RewriterConfig.CustomGraphOptimizer Message to describe custom graph optimizer and its parameters
static interface	RewriterConfig.CustomGraphOptimizerOrBuilder
static class	RewriterConfig.MemOptType Protobuf enum tensorflow.RewriterConfig.MemOptType
static class	RewriterConfig.NumIterationsType Enum controlling the number of times to run optimizers.
static class	RewriterConfig.Toggle Protobuf enum tensorflow.RewriterConfig.Toggle

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
static int	AUTO_MIXED_PRECISION_FIELD_NUMBER
static int	AUTO_PARALLEL_FIELD_NUMBER
static int	CONSTANT_FOLDING_FIELD_NUMBER
static int	CUSTOM_OPTIMIZERS_FIELD_NUMBER
static int	DEBUG_STRIPPER_FIELD_NUMBER
static int	DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
static int	DISABLE_META_OPTIMIZER_FIELD_NUMBER
static int	DISABLE_MODEL_PRUNING_FIELD_NUMBER
static int	FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER
static int	FUNCTION_OPTIMIZATION_FIELD_NUMBER
static int	IMPLEMENTATION_SELECTOR_FIELD_NUMBER
static int	INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER
static int	LAYOUT_OPTIMIZER_FIELD_NUMBER
static int	LOOP_OPTIMIZATION_FIELD_NUMBER
static int	MEMORY_OPTIMIZATION_FIELD_NUMBER
static int	MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
static int	META_OPTIMIZER_ITERATIONS_FIELD_NUMBER
static int	META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER
static int	MIN_GRAPH_NODES_FIELD_NUMBER
static int	OPTIMIZERS_FIELD_NUMBER
static int	PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER
static int	POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER
static int	REMAPPING_FIELD_NUMBER
static int	SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
static int	SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
static int	SHAPE_OPTIMIZATION_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
RewriterConfig.Toggle	getArithmeticOptimization() Arithmetic optimizations (default is ON) e.g.
int	getArithmeticOptimizationValue() Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Toggle	getAutoMixedPrecision() Optimize data types (default is OFF).
int	getAutoMixedPrecisionValue() Optimize data types (default is OFF).
AutoParallelOptions	getAutoParallel() 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.
int	getCustomOptimizersCount() list of CustomGraphOptimizers to apply.
java.util.List<RewriterConfig.CustomGraphOptimizer>	getCustomOptimizersList() list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder(int index) list of CustomGraphOptimizers to apply.
java.util.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).
static RewriterConfig	getDefaultInstance()
RewriterConfig	getDefaultInstanceForType()
RewriterConfig.Toggle	getDependencyOptimization() Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue() Control dependency optimizations (default is ON).
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
boolean	getDisableMetaOptimizer() Disable the entire meta optimizer (off by default).
boolean	getDisableModelPruning() If true, don't remove unnecessary ops from the graph
boolean	getFailOnOptimizerErrors() If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization() Function optimizations (default is ON).
int	getFunctionOptimizationValue() Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector() Enable the swap of kernel implementations based on the device placement (default is ON).
int	getImplementationSelectorValue() Enable the swap of kernel implementations based on the device placement (default is ON).
VerifierConfig	getInterOptimizerVerifierConfig() VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder() VerifierConfig specifying the verifiers to be run after every optimizer.
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.
java.lang.String	getMemoryOptimizerTargetNodeNameScope() A node name scope for node names which are valid outputs of recompuations.
com.google.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).
long	getMetaOptimizerTimeoutMs() Maximum number of milliseconds to spend optimizing a single graph before timing out.
int	getMinGraphNodes() The minimum number of nodes in a graph to optimizer.
java.lang.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).
com.google.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).
com.google.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).
com.google.protobuf.Parser<RewriterConfig>	getParserForType()
RewriterConfig.Toggle	getPinToHostOptimization() Force small ops onto the CPU (default is OFF).
int	getPinToHostOptimizationValue() Force small ops onto the CPU (default is OFF).
VerifierConfig	getPostOptimizationVerifierConfig() VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder() VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
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;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	getSerializedSize()
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.
com.google.protobuf.UnknownFieldSet	getUnknownFields()
boolean	hasAutoParallel() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
int	hashCode()
boolean	hasInterOptimizerVerifierConfig() VerifierConfig specifying the verifiers to be run after every optimizer.
boolean	hasPostOptimizationVerifierConfig() VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
boolean	hasScopedAllocatorOpts() .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static RewriterConfig.Builder	newBuilder()
static RewriterConfig.Builder	newBuilder(RewriterConfig prototype)
RewriterConfig.Builder	newBuilderForType()
protected RewriterConfig.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected java.lang.Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static RewriterConfig	parseDelimitedFrom(java.io.InputStream input)
static RewriterConfig	parseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RewriterConfig	parseFrom(byte[] data)
static RewriterConfig	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RewriterConfig	parseFrom(java.nio.ByteBuffer data)
static RewriterConfig	parseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RewriterConfig	parseFrom(com.google.protobuf.ByteString data)
static RewriterConfig	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RewriterConfig	parseFrom(com.google.protobuf.CodedInputStream input)
static RewriterConfig	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RewriterConfig	parseFrom(java.io.InputStream input)
static RewriterConfig	parseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<RewriterConfig>	parser()
RewriterConfig.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

LAYOUT_OPTIMIZER_FIELD_NUMBER

public static final int LAYOUT_OPTIMIZER_FIELD_NUMBER

See Also:

Constant Field Values

CONSTANT_FOLDING_FIELD_NUMBER

public static final int CONSTANT_FOLDING_FIELD_NUMBER

See Also:

Constant Field Values

SHAPE_OPTIMIZATION_FIELD_NUMBER

public static final int SHAPE_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

REMAPPING_FIELD_NUMBER

public static final int REMAPPING_FIELD_NUMBER

See Also:

Constant Field Values

ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

public static final int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

public static final int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

LOOP_OPTIMIZATION_FIELD_NUMBER

public static final int LOOP_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

FUNCTION_OPTIMIZATION_FIELD_NUMBER

public static final int FUNCTION_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

DEBUG_STRIPPER_FIELD_NUMBER

public static final int DEBUG_STRIPPER_FIELD_NUMBER

See Also:

Constant Field Values

DISABLE_MODEL_PRUNING_FIELD_NUMBER

public static final int DISABLE_MODEL_PRUNING_FIELD_NUMBER

See Also:

Constant Field Values

SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

public static final int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

public static final int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

IMPLEMENTATION_SELECTOR_FIELD_NUMBER

public static final int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

See Also:

Constant Field Values

AUTO_MIXED_PRECISION_FIELD_NUMBER

public static final int AUTO_MIXED_PRECISION_FIELD_NUMBER

See Also:

Constant Field Values

DISABLE_META_OPTIMIZER_FIELD_NUMBER

public static final int DISABLE_META_OPTIMIZER_FIELD_NUMBER

See Also:

Constant Field Values

META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

public static final int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

See Also:

Constant Field Values

MIN_GRAPH_NODES_FIELD_NUMBER

public static final int MIN_GRAPH_NODES_FIELD_NUMBER

See Also:

Constant Field Values

MEMORY_OPTIMIZATION_FIELD_NUMBER

public static final int MEMORY_OPTIMIZATION_FIELD_NUMBER

See Also:

Constant Field Values

MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

public static final int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

See Also:

Constant Field Values

META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

public static final int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

See Also:

Constant Field Values

AUTO_PARALLEL_FIELD_NUMBER

public static final int AUTO_PARALLEL_FIELD_NUMBER

See Also:

Constant Field Values

FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

public static final int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

See Also:

Constant Field Values

SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

public static final int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

See Also:

Constant Field Values

OPTIMIZERS_FIELD_NUMBER

public static final int OPTIMIZERS_FIELD_NUMBER

See Also:

Constant Field Values

CUSTOM_OPTIMIZERS_FIELD_NUMBER

public static final int CUSTOM_OPTIMIZERS_FIELD_NUMBER

See Also:

Constant Field Values

INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

public static final int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

See Also:

Constant Field Values

POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

public static final int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected java.lang.Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

getUnknownFields

public final com.google.protobuf.UnknownFieldSet getUnknownFields()

Specified by:

getUnknownFields in interface com.google.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

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

Returns:

The enum numeric value on the wire for layoutOptimizer.

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

Returns:

The layoutOptimizer.

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

Returns:

The enum numeric value on the wire for constantFolding.

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

Returns:

The constantFolding.

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

Returns:

The enum numeric value on the wire for shapeOptimization.

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

Returns:

The shapeOptimization.

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

Returns:

The enum numeric value on the wire for remapping.

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

Returns:

The remapping.

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

Returns:

The enum numeric value on the wire for arithmeticOptimization.

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

Returns:

The arithmeticOptimization.

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

Returns:

The enum numeric value on the wire for dependencyOptimization.

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

Returns:

The dependencyOptimization.

getLoopOptimizationValue

public int getLoopOptimizationValue()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

Specified by:

getLoopOptimizationValue in interface RewriterConfigOrBuilder

Returns:

The enum numeric value on the wire for loopOptimization.

getLoopOptimization

public RewriterConfig.Toggle getLoopOptimization()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

Specified by:

getLoopOptimization in interface RewriterConfigOrBuilder

Returns:

The loopOptimization.

getFunctionOptimizationValue

public int getFunctionOptimizationValue()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

Specified by:

getFunctionOptimizationValue in interface RewriterConfigOrBuilder

Returns:

The enum numeric value on the wire for functionOptimization.

getFunctionOptimization

public RewriterConfig.Toggle getFunctionOptimization()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

Specified by:

getFunctionOptimization in interface RewriterConfigOrBuilder

Returns:

The functionOptimization.

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

Returns:

The enum numeric value on the wire for debugStripper.

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

Returns:

The debugStripper.

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

Returns:

The disableModelPruning.

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

Returns:

The enum numeric value on the wire for scopedAllocatorOptimization.

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

Returns:

The scopedAllocatorOptimization.

getPinToHostOptimizationValue

public int getPinToHostOptimizationValue()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

Specified by:

getPinToHostOptimizationValue in interface RewriterConfigOrBuilder

Returns:

The enum numeric value on the wire for pinToHostOptimization.

getPinToHostOptimization

public RewriterConfig.Toggle getPinToHostOptimization()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

Specified by:

getPinToHostOptimization in interface RewriterConfigOrBuilder

Returns:

The pinToHostOptimization.

getImplementationSelectorValue

public int getImplementationSelectorValue()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

Specified by:

getImplementationSelectorValue in interface RewriterConfigOrBuilder

Returns:

The enum numeric value on the wire for implementationSelector.

getImplementationSelector

public RewriterConfig.Toggle getImplementationSelector()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

Specified by:

getImplementationSelector in interface RewriterConfigOrBuilder

Returns:

The implementationSelector.

getAutoMixedPrecisionValue

public int getAutoMixedPrecisionValue()

 Optimize data types (default is OFF).
 e.g., This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

Specified by:

getAutoMixedPrecisionValue in interface RewriterConfigOrBuilder

Returns:

The enum numeric value on the wire for autoMixedPrecision.

getAutoMixedPrecision

public RewriterConfig.Toggle getAutoMixedPrecision()

 Optimize data types (default is OFF).
 e.g., This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

Specified by:

getAutoMixedPrecision in interface RewriterConfigOrBuilder

Returns:

The autoMixedPrecision.

getDisableMetaOptimizer

public boolean getDisableMetaOptimizer()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

Specified by:

getDisableMetaOptimizer in interface RewriterConfigOrBuilder

Returns:

The disableMetaOptimizer.

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

Returns:

The enum numeric value on the wire for metaOptimizerIterations.

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

Returns:

The metaOptimizerIterations.

getMinGraphNodes

public int getMinGraphNodes()

 The minimum number of nodes in a graph to optimizer. For smaller graphs,
 optimization is skipped.
 0 means the system picks an appropriate number.
 < 0 means do not skip optimization.
 

int32 min_graph_nodes = 17;

Specified by:

getMinGraphNodes in interface RewriterConfigOrBuilder

Returns:

The minGraphNodes.

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

Returns:

The enum numeric value on the wire for memoryOptimization.

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

Returns:

The memoryOptimization.

getMemoryOptimizerTargetNodeNameScope

public java.lang.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

Returns:

The memoryOptimizerTargetNodeNameScope.

getMemoryOptimizerTargetNodeNameScopeBytes

public com.google.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

Returns:

The bytes for memoryOptimizerTargetNodeNameScope.

getMetaOptimizerTimeoutMs

public long getMetaOptimizerTimeoutMs()

 Maximum number of milliseconds to spend optimizing a single graph before
 timing out. If equal to 0 the system picks a default (currently 5 minutes).
 If less than 0 the optimizer will never time out.
 

int64 meta_optimizer_timeout_ms = 20;

Specified by:

getMetaOptimizerTimeoutMs in interface RewriterConfigOrBuilder

Returns:

The metaOptimizerTimeoutMs.

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

Returns:

Whether the autoParallel field is set.

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

Returns:

The autoParallel.

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

getFailOnOptimizerErrors

public boolean getFailOnOptimizerErrors()

 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error. By default - or when set to false, failing passes are
 skipped silently.
 

bool fail_on_optimizer_errors = 21;

Specified by:

getFailOnOptimizerErrors in interface RewriterConfigOrBuilder

Returns:

The failOnOptimizerErrors.

hasScopedAllocatorOpts

public boolean hasScopedAllocatorOpts()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

hasScopedAllocatorOpts in interface RewriterConfigOrBuilder

Returns:

Whether the scopedAllocatorOpts field is set.

getScopedAllocatorOpts

public ScopedAllocatorOptions getScopedAllocatorOpts()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOpts in interface RewriterConfigOrBuilder

Returns:

The scopedAllocatorOpts.

getScopedAllocatorOptsOrBuilder

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOptsOrBuilder in interface RewriterConfigOrBuilder

getOptimizersList

public com.google.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 optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersList in interface RewriterConfigOrBuilder

Returns:

A list containing the optimizers.

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 optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersCount in interface RewriterConfigOrBuilder

Returns:

The count of optimizers.

getOptimizers

public java.lang.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 optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizers in interface RewriterConfigOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The optimizers at the given index.

getOptimizersBytes

public com.google.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 optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

Specified by:

getOptimizersBytes in interface RewriterConfigOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the optimizers at the given index.

getCustomOptimizersList

public java.util.List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersList in interface RewriterConfigOrBuilder

getCustomOptimizersOrBuilderList

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

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Specified by:

getCustomOptimizersOrBuilderList 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

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

hasInterOptimizerVerifierConfig

public boolean hasInterOptimizerVerifierConfig()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

Specified by:

hasInterOptimizerVerifierConfig in interface RewriterConfigOrBuilder

Returns:

Whether the interOptimizerVerifierConfig field is set.

getInterOptimizerVerifierConfig

public VerifierConfig getInterOptimizerVerifierConfig()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

Specified by:

getInterOptimizerVerifierConfig in interface RewriterConfigOrBuilder

Returns:

The interOptimizerVerifierConfig.

getInterOptimizerVerifierConfigOrBuilder

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

Specified by:

getInterOptimizerVerifierConfigOrBuilder in interface RewriterConfigOrBuilder

hasPostOptimizationVerifierConfig

public boolean hasPostOptimizationVerifierConfig()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

Specified by:

hasPostOptimizationVerifierConfig in interface RewriterConfigOrBuilder

Returns:

Whether the postOptimizationVerifierConfig field is set.

getPostOptimizationVerifierConfig

public VerifierConfig getPostOptimizationVerifierConfig()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

Specified by:

getPostOptimizationVerifierConfig in interface RewriterConfigOrBuilder

Returns:

The postOptimizationVerifierConfig.

getPostOptimizationVerifierConfigOrBuilder

public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

Specified by:

getPostOptimizationVerifierConfigOrBuilder in interface RewriterConfigOrBuilder

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws java.io.IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

java.io.IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(java.lang.Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static RewriterConfig parseFrom(java.nio.ByteBuffer data)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(java.nio.ByteBuffer data,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(com.google.protobuf.ByteString data)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(com.google.protobuf.ByteString data,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(byte[] data)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(byte[] data,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static RewriterConfig parseFrom(java.io.InputStream input)
                                throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static RewriterConfig parseFrom(java.io.InputStream input,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws java.io.IOException

Throws:

java.io.IOException

parseDelimitedFrom

public static RewriterConfig parseDelimitedFrom(java.io.InputStream input)
                                         throws java.io.IOException

Throws:

java.io.IOException

parseDelimitedFrom

public static RewriterConfig parseDelimitedFrom(java.io.InputStream input,
                                                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                         throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static RewriterConfig parseFrom(com.google.protobuf.CodedInputStream input)
                                throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static RewriterConfig parseFrom(com.google.protobuf.CodedInputStream input,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws java.io.IOException

Throws:

java.io.IOException

newBuilderForType

public RewriterConfig.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static RewriterConfig.Builder newBuilder()

newBuilder

public static RewriterConfig.Builder newBuilder(RewriterConfig prototype)

toBuilder

public RewriterConfig.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected RewriterConfig.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static RewriterConfig getDefaultInstance()

parser

public static com.google.protobuf.Parser<RewriterConfig> parser()

getParserForType

public com.google.protobuf.Parser<RewriterConfig> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public RewriterConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder