org.tensorflow.framework

Interface RewriterConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

RewriterConfig, RewriterConfig.Builder

public interface RewriterConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
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.
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.Toggle	getDependencyOptimization() Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue() Control dependency optimizations (default is ON).
boolean	getDisableModelPruning() If true, don't remove unnecessary ops from the graph
RewriterConfig.Toggle	getFunctionOptimization() Function optimizations (default is OFF).
int	getFunctionOptimizationValue() Function optimizations (default is OFF).
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 OFF).
int	getLoopOptimizationValue() Loop optimizations (default is OFF).
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.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes() A node name scope for node names which are valid outputs of recompuations.
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).
List<String>	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).
boolean	hasAutoParallel() Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getLayoutOptimizerValue

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;

getLayoutOptimizer

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;

getConstantFoldingValue

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;

getConstantFolding

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;

getArithmeticOptimizationValue

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;

getArithmeticOptimization

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;

getDependencyOptimizationValue

int getDependencyOptimizationValue()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getDependencyOptimization

RewriterConfig.Toggle getDependencyOptimization()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

getLoopOptimizationValue

int getLoopOptimizationValue()

 Loop optimizations (default is OFF).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getLoopOptimization

RewriterConfig.Toggle getLoopOptimization()

 Loop optimizations (default is OFF).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

getFunctionOptimizationValue

int getFunctionOptimizationValue()

 Function optimizations (default is OFF).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

getFunctionOptimization

RewriterConfig.Toggle getFunctionOptimization()

 Function optimizations (default is OFF).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

getDisableModelPruning

boolean getDisableModelPruning()

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

bool disable_model_pruning = 2;

getMemoryOptimizationValue

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;

getMemoryOptimization

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;

getMemoryOptimizerTargetNodeNameScope

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;

getMemoryOptimizerTargetNodeNameScopeBytes

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;

hasAutoParallel

boolean hasAutoParallel()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallel

AutoParallelOptions getAutoParallel()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

getAutoParallelOrBuilder

AutoParallelOptionsOrBuilder getAutoParallelOrBuilder()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

getOptimizersList

List<String> 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;

getOptimizersCount

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;

getOptimizers

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;

getOptimizersBytes

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 registered optimizers will be run after the base optimizers, in
 the order that they are specified.
 

repeated string optimizers = 100;