RewriterConfig.Builder (nd4j-api 1.0.0-beta2 API)

java.lang.Object
- com.github.os72.protobuf351.AbstractMessageLite.Builder
- - com.github.os72.protobuf351.AbstractMessage.Builder<BuilderType>
  - - com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>
    - - org.tensorflow.framework.RewriterConfig.Builder

All Implemented Interfaces:

com.github.os72.protobuf351.Message.Builder, com.github.os72.protobuf351.MessageLite.Builder, com.github.os72.protobuf351.MessageLiteOrBuilder, com.github.os72.protobuf351.MessageOrBuilder, Cloneable, RewriterConfigOrBuilder

Enclosing class:

RewriterConfig
```
public static final class RewriterConfig.Builder
extends com.github.os72.protobuf351.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(Iterable<? extends RewriterConfig.CustomGraphOptimizer> values)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addAllOptimizers(Iterable<String> values)` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`RewriterConfig.Builder`	`addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder builderForValue)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addCustomOptimizers(RewriterConfig.CustomGraphOptimizer value)` list of CustomGraphOptimizers to apply.
`RewriterConfig.CustomGraphOptimizer.Builder`	`addCustomOptimizersBuilder()` list of CustomGraphOptimizers to apply.
`RewriterConfig.CustomGraphOptimizer.Builder`	`addCustomOptimizersBuilder(int index)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`addOptimizers(String value)` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`RewriterConfig.Builder`	`addOptimizersBytes(com.github.os72.protobuf351.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.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)`
`RewriterConfig`	`build()`
`RewriterConfig`	`buildPartial()`
`RewriterConfig.Builder`	`clear()`
`RewriterConfig.Builder`	`clearArithmeticOptimization()` Arithmetic optimizations (default is ON) e.g.
`RewriterConfig.Builder`	`clearAutoParallel()` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`RewriterConfig.Builder`	`clearConstantFolding()` Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
`RewriterConfig.Builder`	`clearCustomOptimizers()` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`clearDebugStripper()` Strips debug-related nodes from the graph (off by default).
`RewriterConfig.Builder`	`clearDependencyOptimization()` Control dependency optimizations (default is ON).
`RewriterConfig.Builder`	`clearDisableModelPruning()` If true, don't remove unnecessary ops from the graph
`RewriterConfig.Builder`	`clearField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field)`
`RewriterConfig.Builder`	`clearFunctionOptimization()` Function optimizations (default is ON).
`RewriterConfig.Builder`	`clearLayoutOptimizer()` Optimize tensor layouts (default is ON) e.g.
`RewriterConfig.Builder`	`clearLoopOptimization()` Loop optimizations (default is ON).
`RewriterConfig.Builder`	`clearMemoryOptimization()` Configures memory optimization passes through the meta-optimizer.
`RewriterConfig.Builder`	`clearMemoryOptimizerTargetNodeNameScope()` A node name scope for node names which are valid outputs of recompuations.
`RewriterConfig.Builder`	`clearMetaOptimizerIterations()` Controls how many times we run the optimizers in meta optimizer (default is once).
`RewriterConfig.Builder`	`clearOneof(com.github.os72.protobuf351.Descriptors.OneofDescriptor oneof)`
`RewriterConfig.Builder`	`clearOptimizers()` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`RewriterConfig.Builder`	`clearRemapping()` Remapping (default is ON) Remap subgraphs onto more efficient implementations.
`RewriterConfig.Builder`	`clearScopedAllocatorOptimization()` Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
`RewriterConfig.Builder`	`clearScopedAllocatorOpts()` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Builder`	`clearShapeOptimization()` Shape optimizations (default is ON) Simplify computations made on shapes.
`RewriterConfig.Builder`	`clone()`
`RewriterConfig.Toggle`	`getArithmeticOptimization()` Arithmetic optimizations (default is ON) e.g.
`int`	`getArithmeticOptimizationValue()` Arithmetic optimizations (default is ON) e.g.
`AutoParallelOptions`	`getAutoParallel()` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`AutoParallelOptions.Builder`	`getAutoParallelBuilder()` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`AutoParallelOptionsOrBuilder`	`getAutoParallelOrBuilder()` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`RewriterConfig.Toggle`	`getConstantFolding()` Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
`int`	`getConstantFoldingValue()` Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
`RewriterConfig.CustomGraphOptimizer`	`getCustomOptimizers(int index)` list of CustomGraphOptimizers to apply.
`RewriterConfig.CustomGraphOptimizer.Builder`	`getCustomOptimizersBuilder(int index)` list of CustomGraphOptimizers to apply.
`List<RewriterConfig.CustomGraphOptimizer.Builder>`	`getCustomOptimizersBuilderList()` list of CustomGraphOptimizers to apply.
`int`	`getCustomOptimizersCount()` list of CustomGraphOptimizers to apply.
`List<RewriterConfig.CustomGraphOptimizer>`	`getCustomOptimizersList()` list of CustomGraphOptimizers to apply.
`RewriterConfig.CustomGraphOptimizerOrBuilder`	`getCustomOptimizersOrBuilder(int index)` list of CustomGraphOptimizers to apply.
`List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder>`	`getCustomOptimizersOrBuilderList()` list of CustomGraphOptimizers to apply.
`RewriterConfig.Toggle`	`getDebugStripper()` Strips debug-related nodes from the graph (off by default).
`int`	`getDebugStripperValue()` Strips debug-related nodes from the graph (off by default).
`RewriterConfig`	`getDefaultInstanceForType()`
`RewriterConfig.Toggle`	`getDependencyOptimization()` Control dependency optimizations (default is ON).
`int`	`getDependencyOptimizationValue()` Control dependency optimizations (default is ON).
`static com.github.os72.protobuf351.Descriptors.Descriptor`	`getDescriptor()`
`com.github.os72.protobuf351.Descriptors.Descriptor`	`getDescriptorForType()`
`boolean`	`getDisableModelPruning()` If true, don't remove unnecessary ops from the graph
`RewriterConfig.Toggle`	`getFunctionOptimization()` Function optimizations (default is ON).
`int`	`getFunctionOptimizationValue()` Function optimizations (default is ON).
`RewriterConfig.Toggle`	`getLayoutOptimizer()` Optimize tensor layouts (default is ON) e.g.
`int`	`getLayoutOptimizerValue()` Optimize tensor layouts (default is ON) e.g.
`RewriterConfig.Toggle`	`getLoopOptimization()` Loop optimizations (default is ON).
`int`	`getLoopOptimizationValue()` Loop optimizations (default is ON).
`RewriterConfig.MemOptType`	`getMemoryOptimization()` Configures memory optimization passes through the meta-optimizer.
`int`	`getMemoryOptimizationValue()` Configures memory optimization passes through the meta-optimizer.
`String`	`getMemoryOptimizerTargetNodeNameScope()` A node name scope for node names which are valid outputs of recompuations.
`com.github.os72.protobuf351.ByteString`	`getMemoryOptimizerTargetNodeNameScopeBytes()` A node name scope for node names which are valid outputs of recompuations.
`RewriterConfig.NumIterationsType`	`getMetaOptimizerIterations()` Controls how many times we run the optimizers in meta optimizer (default is once).
`int`	`getMetaOptimizerIterationsValue()` Controls how many times we run the optimizers in meta optimizer (default is once).
`String`	`getOptimizers(int index)` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`com.github.os72.protobuf351.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.github.os72.protobuf351.ProtocolStringList`	`getOptimizersList()` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`RewriterConfig.Toggle`	`getRemapping()` Remapping (default is ON) Remap subgraphs onto more efficient implementations.
`int`	`getRemappingValue()` Remapping (default is ON) Remap subgraphs onto more efficient implementations.
`RewriterConfig.Toggle`	`getScopedAllocatorOptimization()` Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
`int`	`getScopedAllocatorOptimizationValue()` Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
`ScopedAllocatorOptions`	`getScopedAllocatorOpts()` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`ScopedAllocatorOptions.Builder`	`getScopedAllocatorOptsBuilder()` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`ScopedAllocatorOptionsOrBuilder`	`getScopedAllocatorOptsOrBuilder()` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Toggle`	`getShapeOptimization()` Shape optimizations (default is ON) Simplify computations made on shapes.
`int`	`getShapeOptimizationValue()` Shape optimizations (default is ON) Simplify computations made on shapes.
`boolean`	`hasAutoParallel()` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`boolean`	`hasScopedAllocatorOpts()` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`protected com.github.os72.protobuf351.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.github.os72.protobuf351.CodedInputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)`
`RewriterConfig.Builder`	`mergeFrom(com.github.os72.protobuf351.Message other)`
`RewriterConfig.Builder`	`mergeFrom(RewriterConfig other)`
`RewriterConfig.Builder`	`mergeScopedAllocatorOpts(ScopedAllocatorOptions value)` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Builder`	`mergeUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)`
`RewriterConfig.Builder`	`removeCustomOptimizers(int index)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`setArithmeticOptimization(RewriterConfig.Toggle value)` Arithmetic optimizations (default is ON) e.g.
`RewriterConfig.Builder`	`setArithmeticOptimizationValue(int value)` Arithmetic optimizations (default is ON) e.g.
`RewriterConfig.Builder`	`setAutoParallel(AutoParallelOptions.Builder builderForValue)` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`RewriterConfig.Builder`	`setAutoParallel(AutoParallelOptions value)` Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
`RewriterConfig.Builder`	`setConstantFolding(RewriterConfig.Toggle value)` Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
`RewriterConfig.Builder`	`setConstantFoldingValue(int value)` Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
`RewriterConfig.Builder`	`setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)` list of CustomGraphOptimizers to apply.
`RewriterConfig.Builder`	`setDebugStripper(RewriterConfig.Toggle value)` Strips debug-related nodes from the graph (off by default).
`RewriterConfig.Builder`	`setDebugStripperValue(int value)` Strips debug-related nodes from the graph (off by default).
`RewriterConfig.Builder`	`setDependencyOptimization(RewriterConfig.Toggle value)` Control dependency optimizations (default is ON).
`RewriterConfig.Builder`	`setDependencyOptimizationValue(int value)` Control dependency optimizations (default is ON).
`RewriterConfig.Builder`	`setDisableModelPruning(boolean value)` If true, don't remove unnecessary ops from the graph
`RewriterConfig.Builder`	`setField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)`
`RewriterConfig.Builder`	`setFunctionOptimization(RewriterConfig.Toggle value)` Function optimizations (default is ON).
`RewriterConfig.Builder`	`setFunctionOptimizationValue(int value)` Function optimizations (default is ON).
`RewriterConfig.Builder`	`setLayoutOptimizer(RewriterConfig.Toggle value)` Optimize tensor layouts (default is ON) e.g.
`RewriterConfig.Builder`	`setLayoutOptimizerValue(int value)` Optimize tensor layouts (default is ON) e.g.
`RewriterConfig.Builder`	`setLoopOptimization(RewriterConfig.Toggle value)` Loop optimizations (default is ON).
`RewriterConfig.Builder`	`setLoopOptimizationValue(int value)` Loop optimizations (default is ON).
`RewriterConfig.Builder`	`setMemoryOptimization(RewriterConfig.MemOptType value)` Configures memory optimization passes through the meta-optimizer.
`RewriterConfig.Builder`	`setMemoryOptimizationValue(int value)` Configures memory optimization passes through the meta-optimizer.
`RewriterConfig.Builder`	`setMemoryOptimizerTargetNodeNameScope(String value)` A node name scope for node names which are valid outputs of recompuations.
`RewriterConfig.Builder`	`setMemoryOptimizerTargetNodeNameScopeBytes(com.github.os72.protobuf351.ByteString value)` A node name scope for node names which are valid outputs of recompuations.
`RewriterConfig.Builder`	`setMetaOptimizerIterations(RewriterConfig.NumIterationsType value)` Controls how many times we run the optimizers in meta optimizer (default is once).
`RewriterConfig.Builder`	`setMetaOptimizerIterationsValue(int value)` Controls how many times we run the optimizers in meta optimizer (default is once).
`RewriterConfig.Builder`	`setOptimizers(int index, String value)` If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
`RewriterConfig.Builder`	`setRemapping(RewriterConfig.Toggle value)` Remapping (default is ON) Remap subgraphs onto more efficient implementations.
`RewriterConfig.Builder`	`setRemappingValue(int value)` Remapping (default is ON) Remap subgraphs onto more efficient implementations.
`RewriterConfig.Builder`	`setRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, int index, Object value)`
`RewriterConfig.Builder`	`setScopedAllocatorOptimization(RewriterConfig.Toggle value)` Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
`RewriterConfig.Builder`	`setScopedAllocatorOptimizationValue(int value)` Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
`RewriterConfig.Builder`	`setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue)` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Builder`	`setScopedAllocatorOpts(ScopedAllocatorOptions value)` `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
`RewriterConfig.Builder`	`setShapeOptimization(RewriterConfig.Toggle value)` Shape optimizations (default is ON) Simplify computations made on shapes.
`RewriterConfig.Builder`	`setShapeOptimizationValue(int value)` Shape optimizations (default is ON) Simplify computations made on shapes.
`RewriterConfig.Builder`	`setUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)`

Methods inherited from class com.github.os72.protobuf351.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.github.os72.protobuf351.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.github.os72.protobuf351.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.github.os72.protobuf351.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.github.os72.protobuf351.MessageLite.Builder
mergeFrom

Method Detail

getDescriptor

public static final com.github.os72.protobuf351.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable
```
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

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

clear in interface com.github.os72.protobuf351.Message.Builder

Specified by:

clear in interface com.github.os72.protobuf351.MessageLite.Builder

Overrides:

clear in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

getDescriptorForType
```
public com.github.os72.protobuf351.Descriptors.Descriptor getDescriptorForType()
```
Specified by:

getDescriptorForType in interface com.github.os72.protobuf351.Message.Builder

Specified by:

getDescriptorForType in interface com.github.os72.protobuf351.MessageOrBuilder

Overrides:

getDescriptorForType in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

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

getDefaultInstanceForType in interface com.github.os72.protobuf351.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.github.os72.protobuf351.MessageOrBuilder

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

build in interface com.github.os72.protobuf351.Message.Builder

Specified by:

build in interface com.github.os72.protobuf351.MessageLite.Builder

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

buildPartial in interface com.github.os72.protobuf351.Message.Builder

Specified by:

buildPartial in interface com.github.os72.protobuf351.MessageLite.Builder

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

clone in interface com.github.os72.protobuf351.Message.Builder

Specified by:

clone in interface com.github.os72.protobuf351.MessageLite.Builder

Overrides:

clone in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

setField

public RewriterConfig.Builder setField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
                                       Object value)

Specified by:: setField in interface com.github.os72.protobuf351.Message.Builder
Overrides:: setField in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

clearField
```
public RewriterConfig.Builder clearField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field)
```
Specified by:

clearField in interface com.github.os72.protobuf351.Message.Builder

Overrides:

clearField in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

clearOneof
```
public RewriterConfig.Builder clearOneof(com.github.os72.protobuf351.Descriptors.OneofDescriptor oneof)
```
Specified by:

clearOneof in interface com.github.os72.protobuf351.Message.Builder

Overrides:

clearOneof in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

setRepeatedField

public RewriterConfig.Builder setRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
                                               int index,
                                               Object value)

Specified by:: setRepeatedField in interface com.github.os72.protobuf351.Message.Builder
Overrides:: setRepeatedField in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

addRepeatedField

public RewriterConfig.Builder addRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
                                               Object value)

Specified by:: addRepeatedField in interface com.github.os72.protobuf351.Message.Builder
Overrides:: addRepeatedField in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

mergeFrom
```
public RewriterConfig.Builder mergeFrom(com.github.os72.protobuf351.Message other)
```
Specified by:

mergeFrom in interface com.github.os72.protobuf351.Message.Builder

Overrides:

mergeFrom in class com.github.os72.protobuf351.AbstractMessage.Builder<RewriterConfig.Builder>

mergeFrom

public RewriterConfig.Builder mergeFrom(RewriterConfig other)

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

isInitialized in interface com.github.os72.protobuf351.MessageLiteOrBuilder

Overrides:

isInitialized in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<RewriterConfig.Builder>

mergeFrom
```
public RewriterConfig.Builder mergeFrom(com.github.os72.protobuf351.CodedInputStream input,
                                        com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
                                 throws IOException
```
Specified by:

mergeFrom in interface com.github.os72.protobuf351.Message.Builder

Specified by:

mergeFrom in interface com.github.os72.protobuf351.MessageLite.Builder

Overrides:

mergeFrom in class com.github.os72.protobuf351.AbstractMessage.Builder<RewriterConfig.Builder>

Throws:

IOException

getLayoutOptimizerValue
```
public int getLayoutOptimizerValue()
```
```
 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 
```
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;
Specified by:

getLayoutOptimizerValue in interface RewriterConfigOrBuilder

setLayoutOptimizerValue

public RewriterConfig.Builder setLayoutOptimizerValue(int value)

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

getLayoutOptimizer

public RewriterConfig.Toggle getLayoutOptimizer()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

Specified by:: getLayoutOptimizer in interface RewriterConfigOrBuilder

setLayoutOptimizer

public RewriterConfig.Builder setLayoutOptimizer(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

clearLayoutOptimizer

public RewriterConfig.Builder clearLayoutOptimizer()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

getConstantFoldingValue

public int getConstantFoldingValue()

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

Specified by:: getConstantFoldingValue in interface RewriterConfigOrBuilder

setConstantFoldingValue

public RewriterConfig.Builder setConstantFoldingValue(int value)

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getConstantFolding

public RewriterConfig.Toggle getConstantFolding()

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

Specified by:: getConstantFolding in interface RewriterConfigOrBuilder

setConstantFolding

public RewriterConfig.Builder setConstantFolding(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

clearConstantFolding

public RewriterConfig.Builder clearConstantFolding()

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getShapeOptimizationValue
```
public int getShapeOptimizationValue()
```
```
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
```
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;
Specified by:

getShapeOptimizationValue in interface RewriterConfigOrBuilder

setShapeOptimizationValue

public RewriterConfig.Builder setShapeOptimizationValue(int value)

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

getShapeOptimization
```
public RewriterConfig.Toggle getShapeOptimization()
```
```
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
```
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;
Specified by:

getShapeOptimization in interface RewriterConfigOrBuilder

setShapeOptimization

public RewriterConfig.Builder setShapeOptimization(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

clearShapeOptimization

public RewriterConfig.Builder clearShapeOptimization()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

getRemappingValue
```
public int getRemappingValue()
```
```
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
```
.tensorflow.RewriterConfig.Toggle remapping = 14;
Specified by:

getRemappingValue in interface RewriterConfigOrBuilder

setRemappingValue

public RewriterConfig.Builder setRemappingValue(int value)

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

getRemapping

public RewriterConfig.Toggle getRemapping()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

Specified by:: getRemapping in interface RewriterConfigOrBuilder

setRemapping

public RewriterConfig.Builder setRemapping(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

clearRemapping

public RewriterConfig.Builder clearRemapping()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

getArithmeticOptimizationValue
```
public int getArithmeticOptimizationValue()
```
```
 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 
```
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;
Specified by:

getArithmeticOptimizationValue in interface RewriterConfigOrBuilder

setArithmeticOptimizationValue

public RewriterConfig.Builder setArithmeticOptimizationValue(int value)

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

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

getArithmeticOptimization

public RewriterConfig.Toggle getArithmeticOptimization()

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

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

Specified by:: getArithmeticOptimization in interface RewriterConfigOrBuilder

setArithmeticOptimization

public RewriterConfig.Builder setArithmeticOptimization(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

clearArithmeticOptimization

public RewriterConfig.Builder clearArithmeticOptimization()

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

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

getDependencyOptimizationValue

public int getDependencyOptimizationValue()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

Specified by:: getDependencyOptimizationValue in interface RewriterConfigOrBuilder

setDependencyOptimizationValue

public RewriterConfig.Builder setDependencyOptimizationValue(int value)

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getDependencyOptimization

public RewriterConfig.Toggle getDependencyOptimization()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

Specified by:: getDependencyOptimization in interface RewriterConfigOrBuilder

setDependencyOptimization

public RewriterConfig.Builder setDependencyOptimization(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

clearDependencyOptimization

public RewriterConfig.Builder clearDependencyOptimization()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getLoopOptimizationValue
```
public int getLoopOptimizationValue()
```
```
 Loop optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;
Specified by:

getLoopOptimizationValue in interface RewriterConfigOrBuilder

setLoopOptimizationValue

public RewriterConfig.Builder setLoopOptimizationValue(int value)

 Loop optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getLoopOptimization
```
public RewriterConfig.Toggle getLoopOptimization()
```
```
 Loop optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;
Specified by:

getLoopOptimization in interface RewriterConfigOrBuilder

setLoopOptimization

public RewriterConfig.Builder setLoopOptimization(RewriterConfig.Toggle value)

 Loop optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

clearLoopOptimization

public RewriterConfig.Builder clearLoopOptimization()

 Loop optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getFunctionOptimizationValue
```
public int getFunctionOptimizationValue()
```
```
 Function optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle function_optimization = 10;
Specified by:

getFunctionOptimizationValue in interface RewriterConfigOrBuilder

setFunctionOptimizationValue

public RewriterConfig.Builder setFunctionOptimizationValue(int value)

 Function optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

getFunctionOptimization
```
public RewriterConfig.Toggle getFunctionOptimization()
```
```
 Function optimizations (default is ON).
 
```
.tensorflow.RewriterConfig.Toggle function_optimization = 10;
Specified by:

getFunctionOptimization in interface RewriterConfigOrBuilder

setFunctionOptimization

public RewriterConfig.Builder setFunctionOptimization(RewriterConfig.Toggle value)

 Function optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

clearFunctionOptimization

public RewriterConfig.Builder clearFunctionOptimization()

 Function optimizations (default is ON).

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

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

getDebugStripperValue in interface RewriterConfigOrBuilder

setDebugStripperValue

public RewriterConfig.Builder setDebugStripperValue(int value)

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

getDebugStripper
```
public RewriterConfig.Toggle getDebugStripper()
```
```
 Strips debug-related nodes from the graph (off by default).
 
```
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;
Specified by:

getDebugStripper in interface RewriterConfigOrBuilder

setDebugStripper

public RewriterConfig.Builder setDebugStripper(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

clearDebugStripper

public RewriterConfig.Builder clearDebugStripper()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

getDisableModelPruning
```
public boolean getDisableModelPruning()
```
```
 If true, don't remove unnecessary ops from the graph
 
```
bool disable_model_pruning = 2;
Specified by:

getDisableModelPruning in interface RewriterConfigOrBuilder

setDisableModelPruning

public RewriterConfig.Builder setDisableModelPruning(boolean value)

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

bool disable_model_pruning = 2;

clearDisableModelPruning

public RewriterConfig.Builder clearDisableModelPruning()

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

bool disable_model_pruning = 2;

getScopedAllocatorOptimizationValue
```
public int getScopedAllocatorOptimizationValue()
```
```
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 
```
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;
Specified by:

getScopedAllocatorOptimizationValue in interface RewriterConfigOrBuilder

setScopedAllocatorOptimizationValue

public RewriterConfig.Builder setScopedAllocatorOptimizationValue(int value)

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

getScopedAllocatorOptimization

public RewriterConfig.Toggle getScopedAllocatorOptimization()

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

Specified by:: getScopedAllocatorOptimization in interface RewriterConfigOrBuilder

setScopedAllocatorOptimization

public RewriterConfig.Builder setScopedAllocatorOptimization(RewriterConfig.Toggle value)

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

clearScopedAllocatorOptimization

public RewriterConfig.Builder clearScopedAllocatorOptimization()

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

getMetaOptimizerIterationsValue
```
public int getMetaOptimizerIterationsValue()
```
```
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 
```
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
Specified by:

getMetaOptimizerIterationsValue in interface RewriterConfigOrBuilder

setMetaOptimizerIterationsValue

public RewriterConfig.Builder setMetaOptimizerIterationsValue(int value)

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

getMetaOptimizerIterations
```
public RewriterConfig.NumIterationsType getMetaOptimizerIterations()
```
```
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 
```
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
Specified by:

getMetaOptimizerIterations in interface RewriterConfigOrBuilder

setMetaOptimizerIterations

public RewriterConfig.Builder setMetaOptimizerIterations(RewriterConfig.NumIterationsType value)

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

clearMetaOptimizerIterations

public RewriterConfig.Builder clearMetaOptimizerIterations()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

getMemoryOptimizationValue

public int getMemoryOptimizationValue()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

Specified by:: getMemoryOptimizationValue in interface RewriterConfigOrBuilder

setMemoryOptimizationValue

public RewriterConfig.Builder setMemoryOptimizationValue(int value)

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

getMemoryOptimization

public RewriterConfig.MemOptType getMemoryOptimization()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

Specified by:: getMemoryOptimization in interface RewriterConfigOrBuilder

setMemoryOptimization

public RewriterConfig.Builder setMemoryOptimization(RewriterConfig.MemOptType value)

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

clearMemoryOptimization

public RewriterConfig.Builder clearMemoryOptimization()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

getMemoryOptimizerTargetNodeNameScope

public String getMemoryOptimizerTargetNodeNameScope()

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

string memory_optimizer_target_node_name_scope = 6;

Specified by:: getMemoryOptimizerTargetNodeNameScope in interface RewriterConfigOrBuilder

getMemoryOptimizerTargetNodeNameScopeBytes

public com.github.os72.protobuf351.ByteString getMemoryOptimizerTargetNodeNameScopeBytes()

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

string memory_optimizer_target_node_name_scope = 6;

Specified by:: getMemoryOptimizerTargetNodeNameScopeBytes in interface RewriterConfigOrBuilder

setMemoryOptimizerTargetNodeNameScope

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope(String value)

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

string memory_optimizer_target_node_name_scope = 6;

clearMemoryOptimizerTargetNodeNameScope

public RewriterConfig.Builder clearMemoryOptimizerTargetNodeNameScope()

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

string memory_optimizer_target_node_name_scope = 6;

setMemoryOptimizerTargetNodeNameScopeBytes

public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes(com.github.os72.protobuf351.ByteString value)

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

string memory_optimizer_target_node_name_scope = 6;

hasAutoParallel

public boolean hasAutoParallel()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:: hasAutoParallel in interface RewriterConfigOrBuilder

getAutoParallel

public AutoParallelOptions getAutoParallel()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:: getAutoParallel in interface RewriterConfigOrBuilder

setAutoParallel

public RewriterConfig.Builder setAutoParallel(AutoParallelOptions value)

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

setAutoParallel

public RewriterConfig.Builder setAutoParallel(AutoParallelOptions.Builder builderForValue)

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

mergeAutoParallel

public RewriterConfig.Builder mergeAutoParallel(AutoParallelOptions value)

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

clearAutoParallel

public RewriterConfig.Builder clearAutoParallel()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallelBuilder

public AutoParallelOptions.Builder getAutoParallelBuilder()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallelOrBuilder

public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

Specified by:: getAutoParallelOrBuilder in interface RewriterConfigOrBuilder

hasScopedAllocatorOpts
```
public boolean hasScopedAllocatorOpts()
```
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

hasScopedAllocatorOpts in interface RewriterConfigOrBuilder

getScopedAllocatorOpts
```
public ScopedAllocatorOptions getScopedAllocatorOpts()
```
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOpts in interface RewriterConfigOrBuilder

setScopedAllocatorOpts

public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions value)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

setScopedAllocatorOpts

public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

mergeScopedAllocatorOpts

public RewriterConfig.Builder mergeScopedAllocatorOpts(ScopedAllocatorOptions value)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

clearScopedAllocatorOpts
```
public RewriterConfig.Builder clearScopedAllocatorOpts()
```
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsBuilder
```
public ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder()
```
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsOrBuilder
```
public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder()
```
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Specified by:

getScopedAllocatorOptsOrBuilder in interface RewriterConfigOrBuilder

getOptimizersList

public com.github.os72.protobuf351.ProtocolStringList getOptimizersList()

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

repeated string optimizers = 100;

Specified by:: getOptimizersList in interface RewriterConfigOrBuilder

getOptimizersCount

public int getOptimizersCount()

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

repeated string optimizers = 100;

Specified by:: getOptimizersCount in interface RewriterConfigOrBuilder

getOptimizers

public String getOptimizers(int index)

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

repeated string optimizers = 100;

Specified by:: getOptimizers in interface RewriterConfigOrBuilder

getOptimizersBytes

public com.github.os72.protobuf351.ByteString getOptimizersBytes(int index)

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

repeated string optimizers = 100;

Specified by:: getOptimizersBytes in interface RewriterConfigOrBuilder

setOptimizers

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

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

repeated string optimizers = 100;

addOptimizers

public RewriterConfig.Builder addOptimizers(String value)

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

repeated string optimizers = 100;

addAllOptimizers

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

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

repeated string optimizers = 100;

clearOptimizers

public RewriterConfig.Builder clearOptimizers()

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

repeated string optimizers = 100;

addOptimizersBytes

public RewriterConfig.Builder addOptimizersBytes(com.github.os72.protobuf351.ByteString value)

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

repeated string optimizers = 100;

getCustomOptimizersList
```
public List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList()
```
```
 list of CustomGraphOptimizers to apply.
 
```
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
Specified by:

getCustomOptimizersList in interface RewriterConfigOrBuilder

getCustomOptimizersCount
```
public int getCustomOptimizersCount()
```
```
 list of CustomGraphOptimizers to apply.
 
```
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
Specified by:

getCustomOptimizersCount in interface RewriterConfigOrBuilder

getCustomOptimizers
```
public RewriterConfig.CustomGraphOptimizer getCustomOptimizers(int index)
```
```
 list of CustomGraphOptimizers to apply.
 
```
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
Specified by:

getCustomOptimizers in interface RewriterConfigOrBuilder