RewriterConfig.Builder (tensorflow-serving-client 1.14 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderType>
  - - com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
    - - org.tensorflow.framework.RewriterConfig.Builder

All Implemented Interfaces:

com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, RewriterConfigOrBuilder

Enclosing class:

RewriterConfig
```
public static final class RewriterConfig.Builder
extends com.google.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

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`RewriterConfig.Builder`	`addAllCustomOptimizers(java.lang.Iterable<? extends RewriterConfig.CustomGraphOptimizer> values)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addAllOptimizers(java.lang.Iterable<java.lang.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(java.lang.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(com.google.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(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)`
`RewriterConfig`	`build()`
`RewriterConfig`	`buildPartial()`
`RewriterConfig.Builder`	`clear()`
`RewriterConfig.Builder`	`clearArithmeticOptimization()` Arithmetic optimizations (default is ON) e.g.
`RewriterConfig.Builder`	`clearAutoMixedPrecision()` Optimize data types (default is OFF).
`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`	`clearDisableMetaOptimizer()` Disable the entire meta optimizer (off by default).
`RewriterConfig.Builder`	`clearDisableModelPruning()` If true, don't remove unnecessary ops from the graph
`RewriterConfig.Builder`	`clearFailOnOptimizerErrors()` If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
`RewriterConfig.Builder`	`clearField(com.google.protobuf.Descriptors.FieldDescriptor field)`
`RewriterConfig.Builder`	`clearFunctionOptimization()` Function optimizations (default is ON).
`RewriterConfig.Builder`	`clearImplementationSelector()` Enable the swap of kernel implementations based on the device placement (default is ON).
`RewriterConfig.Builder`	`clearInterOptimizerVerifierConfig()` VerifierConfig specifying the verifiers to be run after every optimizer.
`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`	`clearMetaOptimizerTimeoutMs()` Maximum number of milliseconds to spend optimizing a single graph before timing out.
`RewriterConfig.Builder`	`clearMinGraphNodes()` The minimum number of nodes in a graph to optimizer.
`RewriterConfig.Builder`	`clearOneof(com.google.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`	`clearPinToHostOptimization()` Force small ops onto the CPU (default is OFF).
`RewriterConfig.Builder`	`clearPostOptimizationVerifierConfig()` VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
`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.
`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.
`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.
`java.util.List<RewriterConfig.CustomGraphOptimizer.Builder>`	`getCustomOptimizersBuilderList()` 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).
`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()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`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.
`VerifierConfig.Builder`	`getInterOptimizerVerifierConfigBuilder()` 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).
`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.
`VerifierConfig.Builder`	`getPostOptimizationVerifierConfigBuilder()` 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;`
`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`	`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()`
`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(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`RewriterConfig.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`RewriterConfig.Builder`	`mergeFrom(RewriterConfig other)`
`RewriterConfig.Builder`	`mergeInterOptimizerVerifierConfig(VerifierConfig value)` VerifierConfig specifying the verifiers to be run after every optimizer.
`RewriterConfig.Builder`	`mergePostOptimizationVerifierConfig(VerifierConfig value)` VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
`RewriterConfig.Builder`	`mergeScopedAllocatorOpts(ScopedAllocatorOptions value)` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Builder`	`mergeUnknownFields(com.google.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`	`setAutoMixedPrecision(RewriterConfig.Toggle value)` Optimize data types (default is OFF).
`RewriterConfig.Builder`	`setAutoMixedPrecisionValue(int value)` Optimize data types (default is OFF).
`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`	`setDisableMetaOptimizer(boolean value)` Disable the entire meta optimizer (off by default).
`RewriterConfig.Builder`	`setDisableModelPruning(boolean value)` If true, don't remove unnecessary ops from the graph
`RewriterConfig.Builder`	`setFailOnOptimizerErrors(boolean value)` If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
`RewriterConfig.Builder`	`setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.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`	`setImplementationSelector(RewriterConfig.Toggle value)` Enable the swap of kernel implementations based on the device placement (default is ON).
`RewriterConfig.Builder`	`setImplementationSelectorValue(int value)` Enable the swap of kernel implementations based on the device placement (default is ON).
`RewriterConfig.Builder`	`setInterOptimizerVerifierConfig(VerifierConfig.Builder builderForValue)` VerifierConfig specifying the verifiers to be run after every optimizer.
`RewriterConfig.Builder`	`setInterOptimizerVerifierConfig(VerifierConfig value)` VerifierConfig specifying the verifiers to be run after every optimizer.
`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(java.lang.String value)` A node name scope for node names which are valid outputs of recompuations.
`RewriterConfig.Builder`	`setMemoryOptimizerTargetNodeNameScopeBytes(com.google.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`	`setMetaOptimizerTimeoutMs(long value)` Maximum number of milliseconds to spend optimizing a single graph before timing out.
`RewriterConfig.Builder`	`setMinGraphNodes(int value)` The minimum number of nodes in a graph to optimizer.
`RewriterConfig.Builder`	`setOptimizers(int index, java.lang.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`	`setPinToHostOptimization(RewriterConfig.Toggle value)` Force small ops onto the CPU (default is OFF).
`RewriterConfig.Builder`	`setPinToHostOptimizationValue(int value)` Force small ops onto the CPU (default is OFF).
`RewriterConfig.Builder`	`setPostOptimizationVerifierConfig(VerifierConfig.Builder builderForValue)` VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
`RewriterConfig.Builder`	`setPostOptimizationVerifierConfig(VerifierConfig value)` VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
`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(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.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(com.google.protobuf.UnknownFieldSet unknownFields)`

Methods inherited from class com.google.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 com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.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 com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFrom

Method Detail

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.Builder<RewriterConfig.Builder>

clear
```
public RewriterConfig.Builder clear()
```
Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

getDescriptorForType
```
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
```
Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

getDefaultInstanceForType
```
public RewriterConfig getDefaultInstanceForType()
```
Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build
```
public RewriterConfig build()
```
Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial
```
public RewriterConfig buildPartial()
```
Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone
```
public RewriterConfig.Builder clone()
```
Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

setField
```
public RewriterConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                       java.lang.Object value)
```
Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

clearField
```
public RewriterConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
```
Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

clearOneof
```
public RewriterConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
```
Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

setRepeatedField

public RewriterConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               int index,
                                               java.lang.Object value)

Specified by:: setRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

addRepeatedField
```
public RewriterConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               java.lang.Object value)
```
Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

mergeFrom
```
public RewriterConfig.Builder mergeFrom(com.google.protobuf.Message other)
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>

mergeFrom

public RewriterConfig.Builder mergeFrom(RewriterConfig other)

isInitialized
```
public final boolean isInitialized()
```
Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>

mergeFrom
```
public RewriterConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws java.io.IOException
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>

Throws:

java.io.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

Returns:

The enum numeric value on the wire for layoutOptimizer.

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;
Parameters:

value - The enum numeric value on the wire for layoutOptimizer to set.

Returns:

This builder for chaining.

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.

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;

Parameters:: value - The layoutOptimizer to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

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;

Parameters:: value - The enum numeric value on the wire for constantFolding to set.
Returns:: This builder for chaining.

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.

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;

Parameters:: value - The constantFolding to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

setShapeOptimizationValue
```
public RewriterConfig.Builder setShapeOptimizationValue(int value)
```
```
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
```
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;
Parameters:

value - The enum numeric value on the wire for shapeOptimization to set.

Returns:

This builder for chaining.

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.

setShapeOptimization

public RewriterConfig.Builder setShapeOptimization(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

Parameters:: value - The shapeOptimization to set.
Returns:: This builder for chaining.

clearShapeOptimization

public RewriterConfig.Builder clearShapeOptimization()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

Returns:: This builder for chaining.

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.

setRemappingValue
```
public RewriterConfig.Builder setRemappingValue(int value)
```
```
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
```
.tensorflow.RewriterConfig.Toggle remapping = 14;
Parameters:

value - The enum numeric value on the wire for remapping to set.

Returns:

This builder for chaining.

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.

setRemapping

public RewriterConfig.Builder setRemapping(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

Parameters:: value - The remapping to set.
Returns:: This builder for chaining.

clearRemapping

public RewriterConfig.Builder clearRemapping()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

Returns:: This builder for chaining.

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.

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;
Parameters:

value - The enum numeric value on the wire for arithmeticOptimization to set.

Returns:

This builder for chaining.

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.

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;

Parameters:: value - The arithmeticOptimization to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

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;
Parameters:

value - The enum numeric value on the wire for dependencyOptimization to set.

Returns:

This builder for chaining.

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.

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;

Parameters:: value - The dependencyOptimization to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

setLoopOptimizationValue
```
public RewriterConfig.Builder setLoopOptimizationValue(int value)
```
```
 Loop optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;
Parameters:

value - The enum numeric value on the wire for loopOptimization to set.

Returns:

This builder for chaining.

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.

setLoopOptimization
```
public RewriterConfig.Builder setLoopOptimization(RewriterConfig.Toggle value)
```
```
 Loop optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;
Parameters:

value - The loopOptimization to set.

Returns:

This builder for chaining.

clearLoopOptimization
```
public RewriterConfig.Builder clearLoopOptimization()
```
```
 Loop optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;
Returns:

This builder for chaining.

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.

setFunctionOptimizationValue
```
public RewriterConfig.Builder setFunctionOptimizationValue(int value)
```
```
 Function optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle function_optimization = 10;
Parameters:

value - The enum numeric value on the wire for functionOptimization to set.

Returns:

This builder for chaining.

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.

setFunctionOptimization
```
public RewriterConfig.Builder setFunctionOptimization(RewriterConfig.Toggle value)
```
```
 Function optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle function_optimization = 10;
Parameters:

value - The functionOptimization to set.

Returns:

This builder for chaining.

clearFunctionOptimization
```
public RewriterConfig.Builder clearFunctionOptimization()
```
```
 Function optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle function_optimization = 10;
Returns:

This builder for chaining.

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.

setDebugStripperValue
```
public RewriterConfig.Builder setDebugStripperValue(int value)
```
```
 Strips debug-related nodes from the graph (off by default).
 
```
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;
Parameters:

value - The enum numeric value on the wire for debugStripper to set.

Returns:

This builder for chaining.

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.

setDebugStripper

public RewriterConfig.Builder setDebugStripper(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

Parameters:: value - The debugStripper to set.
Returns:: This builder for chaining.

clearDebugStripper

public RewriterConfig.Builder clearDebugStripper()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

Returns:: This builder for chaining.

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.

setDisableModelPruning
```
public RewriterConfig.Builder setDisableModelPruning(boolean value)
```
```
 If true, don't remove unnecessary ops from the graph
 
```
bool disable_model_pruning = 2;
Parameters:

value - The disableModelPruning to set.

Returns:

This builder for chaining.

clearDisableModelPruning

public RewriterConfig.Builder clearDisableModelPruning()

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

bool disable_model_pruning = 2;

Returns:: This builder for chaining.

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.

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;
Parameters:

value - The enum numeric value on the wire for scopedAllocatorOptimization to set.

Returns:

This builder for chaining.

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.

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;

Parameters:: value - The scopedAllocatorOptimization to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

setPinToHostOptimizationValue
```
public RewriterConfig.Builder setPinToHostOptimizationValue(int value)
```
```
 Force small ops onto the CPU (default is OFF).
 
```
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;
Parameters:

value - The enum numeric value on the wire for pinToHostOptimization to set.

Returns:

This builder for chaining.

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.

setPinToHostOptimization
```
public RewriterConfig.Builder setPinToHostOptimization(RewriterConfig.Toggle value)
```
```
 Force small ops onto the CPU (default is OFF).
 
```
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;
Parameters:

value - The pinToHostOptimization to set.

Returns:

This builder for chaining.

clearPinToHostOptimization
```
public RewriterConfig.Builder clearPinToHostOptimization()
```
```
 Force small ops onto the CPU (default is OFF).
 
```
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;
Returns:

This builder for chaining.

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.

setImplementationSelectorValue
```
public RewriterConfig.Builder setImplementationSelectorValue(int value)
```
```
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;
Parameters:

value - The enum numeric value on the wire for implementationSelector to set.

Returns:

This builder for chaining.

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.

setImplementationSelector

public RewriterConfig.Builder setImplementationSelector(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

Parameters:: value - The implementationSelector to set.
Returns:: This builder for chaining.

clearImplementationSelector

public RewriterConfig.Builder clearImplementationSelector()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

Returns:: This builder for chaining.

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.

setAutoMixedPrecisionValue

public RewriterConfig.Builder setAutoMixedPrecisionValue(int value)

 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;

Parameters:: value - The enum numeric value on the wire for autoMixedPrecision to set.
Returns:: This builder for chaining.

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.

setAutoMixedPrecision

public RewriterConfig.Builder setAutoMixedPrecision(RewriterConfig.Toggle value)

 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;

Parameters:: value - The autoMixedPrecision to set.
Returns:: This builder for chaining.

clearAutoMixedPrecision

public RewriterConfig.Builder clearAutoMixedPrecision()

 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;

Returns:: This builder for chaining.

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.

setDisableMetaOptimizer
```
public RewriterConfig.Builder setDisableMetaOptimizer(boolean value)
```
```
 Disable the entire meta optimizer (off by default).
 
```
bool disable_meta_optimizer = 19;
Parameters:

value - The disableMetaOptimizer to set.

Returns:

This builder for chaining.

clearDisableMetaOptimizer

public RewriterConfig.Builder clearDisableMetaOptimizer()

 Disable the entire meta optimizer (off by default).

bool disable_meta_optimizer = 19;

Returns:: This builder for chaining.

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.

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;
Parameters:

value - The enum numeric value on the wire for metaOptimizerIterations to set.

Returns:

This builder for chaining.

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.

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;

Parameters:: value - The metaOptimizerIterations to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

setMinGraphNodes

public RewriterConfig.Builder setMinGraphNodes(int value)

 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;

Parameters:: value - The minGraphNodes to set.
Returns:: This builder for chaining.

clearMinGraphNodes

public RewriterConfig.Builder clearMinGraphNodes()

 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;

Returns:: This builder for chaining.

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.

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;

Parameters:: value - The enum numeric value on the wire for memoryOptimization to set.
Returns:: This builder for chaining.

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.

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;

Parameters:: value - The memoryOptimization to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

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.

setMemoryOptimizerTargetNodeNameScope

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope(java.lang.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;

Parameters:: value - The memoryOptimizerTargetNodeNameScope to set.
Returns:: This builder for chaining.

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;

Returns:: This builder for chaining.

setMemoryOptimizerTargetNodeNameScopeBytes

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes(com.google.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;

Parameters:: value - The bytes for memoryOptimizerTargetNodeNameScope to set.
Returns:: This builder for chaining.

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.

setMetaOptimizerTimeoutMs

public RewriterConfig.Builder setMetaOptimizerTimeoutMs(long value)

 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;

Parameters:: value - The metaOptimizerTimeoutMs to set.
Returns:: This builder for chaining.

clearMetaOptimizerTimeoutMs

public RewriterConfig.Builder clearMetaOptimizerTimeoutMs()

 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;

Returns:: This builder for chaining.

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.

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

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.

setFailOnOptimizerErrors

public RewriterConfig.Builder setFailOnOptimizerErrors(boolean value)

 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;

Parameters:: value - The failOnOptimizerErrors to set.
Returns:: This builder for chaining.

clearFailOnOptimizerErrors

public RewriterConfig.Builder clearFailOnOptimizerErrors()

 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;

Returns:: This builder for chaining.

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.

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 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.

setOptimizers

public RewriterConfig.Builder setOptimizers(int index,
                                            java.lang.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 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;

Parameters:: index - The index to set the value at.; value - The optimizers to set.
Returns:: This builder for chaining.

addOptimizers

public RewriterConfig.Builder addOptimizers(java.lang.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 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;

Parameters:: value - The optimizers to add.
Returns:: This builder for chaining.

addAllOptimizers

public RewriterConfig.Builder addAllOptimizers(java.lang.Iterable<java.lang.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 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;

Parameters:: values - The optimizers to add.
Returns:: This builder for chaining.

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 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;

Returns:: This builder for chaining.

addOptimizersBytes

public RewriterConfig.Builder addOptimizersBytes(com.google.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 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;

Parameters:: value - The bytes of the optimizers to add.
Returns:: This builder for chaining.

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

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