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)
int	getArithmeticOptimizationValue() Arithmetic optimizations (default is ON)
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)
int	getConstantFoldingValue() Fold constants (default is ON)
boolean	getDisableModelPruning() If true, don't remove unnecessary ops from the graph
RewriterConfig.MemOptType	getMemoryOptimization() Configures memory optimization passes through the meta-optimizer.
int	getMemoryOptimizationValue() Configures memory optimization passes through the meta-optimizer.
String	getMemoryOptimizerTargetNodeNamePrefix() The prefix for nodes which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNamePrefixBytes() The prefix for nodes which are valid outputs of recomputations.
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	getOptimizeTensorLayout() Optimize tensor layouts
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

getOptimizeTensorLayout

boolean getOptimizeTensorLayout()

 Optimize tensor layouts
 

bool optimize_tensor_layout = 1;

getConstantFoldingValue

int getConstantFoldingValue()

 Fold constants (default is ON)
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getConstantFolding

RewriterConfig.Toggle getConstantFolding()

 Fold constants (default is ON)
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

getArithmeticOptimizationValue

int getArithmeticOptimizationValue()

 Arithmetic optimizations (default is ON)
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

getArithmeticOptimization

RewriterConfig.Toggle getArithmeticOptimization()

 Arithmetic optimizations (default is ON)
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

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;

getMemoryOptimizerTargetNodeNamePrefix

String getMemoryOptimizerTargetNodeNamePrefix()

 The prefix for nodes which are valid outputs of recomputations. Inputs to
 nodes with this name prefix may be recomputed (subject either to manual
 annotation of those input nodes or to manual annotation and heuristics
 depending on memory_optimization), but the prefixed nodes themselves will
 not be recomputed. Typically this will be "gradients/", indicating that
 activations from the forward pass of a graph may be recomputed as inputs to
 gradients, but may be adjusted if gradients are inside a name scope or if
 inputs to non-gradients should be recomputed. Defaults to "gradients/" if
 empty or not set.
 

string memory_optimizer_target_node_name_prefix = 6;

getMemoryOptimizerTargetNodeNamePrefixBytes

com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNamePrefixBytes()

 The prefix for nodes which are valid outputs of recomputations. Inputs to
 nodes with this name prefix may be recomputed (subject either to manual
 annotation of those input nodes or to manual annotation and heuristics
 depending on memory_optimization), but the prefixed nodes themselves will
 not be recomputed. Typically this will be "gradients/", indicating that
 activations from the forward pass of a graph may be recomputed as inputs to
 gradients, but may be adjusted if gradients are inside a name scope or if
 inputs to non-gradients should be recomputed. Defaults to "gradients/" if
 empty or not set.
 

string memory_optimizer_target_node_name_prefix = 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.
 

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.
 

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.
 

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.
 

repeated string optimizers = 100;