RewriterConfig

classe finale publique RewriterConfig

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

Tensorflow de type tensorflow.RewriterConfig

Classes imbriquées

classe	RewriterConfig.Builder		Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
énumération	RewriterConfig.CpuLayout		Enum for layout conversion between NCHW and NHWC on CPU.
classe	RewriterConfig.CustomGraphOptimizer		Message to describe custom graph optimizer and its parameters tensorflow.RewriterConfig.CustomGraphOptimizer de type Protobuf.RewriterConfig.CustomGraphOptimizer
interface	RewriterConfig.CustomGraphOptimizerOrBuilder
énumération	RewriterConfig.MemOptType		Protobuf enum tensorflow.RewriterConfig.MemOptType
énumération	RewriterConfig.NumIterationsType		Enum controlling the number of times to run optimizers.
énumération	RewriterConfig.Toggle		Protobuf enum tensorflow.RewriterConfig.Toggle

Constantes

int	ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER
int	AUTO_PARALLEL_FIELD_NUMBER
int	COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER
int	CONSTANT_FOLDING_FIELD_NUMBER
int	CPU_LAYOUT_CONVERSION_FIELD_NUMBER
int	CUSTOM_OPTIMIZERS_FIELD_NUMBER
int	DEBUG_STRIPPER_FIELD_NUMBER
int	DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
int	DISABLE_META_OPTIMIZER_FIELD_NUMBER
int	DISABLE_MODEL_PRUNING_FIELD_NUMBER
int	EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER
int	FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER
int	FUNCTION_OPTIMIZATION_FIELD_NUMBER
int	IMPLEMENTATION_SELECTOR_FIELD_NUMBER
int	INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER
int	LAYOUT_OPTIMIZER_FIELD_NUMBER
int	LOOP_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
int	META_OPTIMIZER_ITERATIONS_FIELD_NUMBER
int	META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER
int	MIN_GRAPH_NODES_FIELD_NUMBER
int	OPTIMIZERS_FIELD_NUMBER
int	PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER
int	POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER
int	REMAPPING_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
int	SHAPE_OPTIMIZATION_FIELD_NUMBER

Méthodes publiques

booléen	est égal (Obj objet)
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 for CUDA (default is OFF).
RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
OptionsParallèleAuto	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	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
int	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
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.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
int	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (index int) list of CustomGraphOptimizers to apply.
int	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Liste< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (index int) list of CustomGraphOptimizers to apply.
Liste<? étend 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 statique	getDefaultInstance ()
RéécrivainConfig	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
booléen	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
booléen	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
booléen	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
booléen	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimisation () Function optimizations (default is ON).
int	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
int	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
VerifierConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
int	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimisation () 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.
Chaîne	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.NumIterationsType	getMetaOptimizerItérations () 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.
Chaîne	getOptimizers (index int) 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 (index int) 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).
	getParserForType ()
RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
int	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
VerifierConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
int	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
int	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Options ScopedAllocator	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
int	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booléen	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
booléen	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
booléen	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
booléen	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	Code de hachage ()
booléen final	estInitialisé ()
RewriterConfig.Builder statique	nouveauBuilder ()
RewriterConfig.Builder statique	newBuilder (prototype RewriterConfig )
RewriterConfig.Builder	nouveauBuilderForType ()
RewriterConfig statique	parseDelimitedFrom (entrée InputStream)
RewriterConfig statique	parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statique	parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statique	parseFrom (entrée com.google.protobuf.CodedInputStream)
RewriterConfig statique	parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statique	parseFrom (données ByteBuffer)
RewriterConfig statique	parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statique	parseFrom (données com.google.protobuf.ByteString)
RewriterConfig statique	parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statique	parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique	analyseur ()
RewriterConfig.Builder	toBuilder ()
vide	writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.RewriterConfigOrBuilder

abstrait RewriterConfig.Toggle	getArithmeticOptimization () Arithmetic optimizations (default is ON) e.g.
abstrait entier	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
abstrait RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
abstrait RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
abstrait entier	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
abstrait entier	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
options AutoParallel abstraites	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
abstrait AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
abstrait RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
abstrait entier	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
abstrait RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
abstrait entier	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
abstrait RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
abstrait entier	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
résumé RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (index int) list of CustomGraphOptimizers to apply.
abstrait entier	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Liste abstraite < RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
résumé RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (index int) list of CustomGraphOptimizers to apply.
Liste abstraite <? étend RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
abstrait RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
abstrait entier	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
abstrait RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
abstrait entier	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
booléen abstrait	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
booléen abstrait	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
booléen abstrait	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
booléen abstrait	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
abstrait RewriterConfig.Toggle	getFunctionOptimisation () Function optimizations (default is ON).
abstrait entier	getFunctionOptimizationValue () Function optimizations (default is ON).
abstrait RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
abstrait entier	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
résumé VerifierConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
résumé VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
abstrait RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
abstrait entier	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
abstrait RewriterConfig.Toggle	getLoopOptimisation () Loop optimizations (default is ON).
abstrait entier	getLoopOptimizationValue () Loop optimizations (default is ON).
abstrait RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
abstrait entier	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
chaîne abstraite	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
résumé com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
abstrait RewriterConfig.NumIterationsType	getMetaOptimizerItérations () Controls how many times we run the optimizers in meta optimizer (default is once).
abstrait entier	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
abstrait long	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
abstrait entier	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
chaîne abstraite	getOptimizers (index int) 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).
résumé com.google.protobuf.ByteString	getOptimizersBytes (index int) 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).
abstrait entier	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).
Liste abstraite<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).
abstrait RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
abstrait entier	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
résumé VerifierConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
résumé VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstrait RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
abstrait entier	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
abstrait RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
abstrait entier	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
résumé ScopedAllocatorOptions	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
résumé ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstrait RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
abstrait entier	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
booléen abstrait	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
booléen abstrait	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
booléen abstrait	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
booléen abstrait	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Constantes

public statique final int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 7

public statique final int AUTO_MIXED_PRECISION_FIELD_NUMBER

Valeur constante : 23

public statique final int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Valeur constante : 25

public statique final int AUTO_PARALLEL_FIELD_NUMBER

Valeur constante : 5

public statique final int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Valeur constante : 24

public statique final int CONSTANT_FOLDING_FIELD_NUMBER

Valeur constante : 3

public statique final int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Valeur constante : 50

public statique final int CUSTOM_OPTIMIZERS_FIELD_NUMBER

Valeur constante : 200

public statique final int DEBUG_STRIPPER_FIELD_NUMBER

Valeur constante : 11

public statique final int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 8

public statique final int DISABLE_META_OPTIMIZER_FIELD_NUMBER

Valeur constante : 19

public statique final int DISABLE_MODEL_PRUNING_FIELD_NUMBER

Valeur constante : 2

public statique final int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 26

public statique final int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Valeur constante : 21

public statique final int FUNCTION_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 10

public statique final int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Valeur constante : 22

public statique final int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Valeur constante : 300

public statique final int LAYOUT_OPTIMIZER_FIELD_NUMBER

Valeur constante : 1

public statique final int LOOP_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 9

public statique final int MEMORY_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 4

public static final int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Valeur constante : 6

public static final int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

Valeur constante : 12

public statique final int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Valeur constante : 20

public statique final int MIN_GRAPH_NODES_FIELD_NUMBER

Valeur constante : 17

public statique final int OPTIMIZERS_FIELD_NUMBER

Valeur constante : 100

public statique final int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 18

public statique final int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Valeur constante : 301

public statique final entier REMAPPING_FIELD_NUMBER

Valeur constante : 14

public statique final int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 15

public statique final int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Valeur constante : 16

public statique final int SHAPE_OPTIMIZATION_FIELD_NUMBER

Valeur constante : 13

Méthodes publiques

public booléen égal (Objet obj)

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;

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;

public RewriterConfig.Toggle getAutoMixedPrecision ()

 Optimize data types for CUDA (default is OFF).
 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;

public RewriterConfig.Toggle getAutoMixedPrecisionMkl ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionMklValue ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionValue ()

 Optimize data types for CUDA (default is OFF).
 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;

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;

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;

public RewriterConfig.Toggle getCommonSubgraphElimination ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

public int getCommonSubgraphEliminationValue ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

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;

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;

public RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public RewriterConfig.CustomGraphOptimizer getCustomOptimizers (index int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

liste publique < RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (index int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Liste publique <? étend RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public statique RewriterConfig getDefaultInstance ()

public RewriterConfig getDefaultInstanceForType ()

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;

public int getDependencyOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

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

public booléen getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

public booléen getDisableModelPruning ()

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

bool disable_model_pruning = 2;

public booléen getExperimentalDisableCompressedTensorOptimization ()

 Disable optimizations that assume compressed tensors. Note that this flag
 is experimental and may be removed in the future.
 

bool experimental_disable_compressed_tensor_optimization = 26;

public booléen 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;

public RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

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;

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;

public RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

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;

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;

chaîne publique getMemoryOptimizerTargetNodeNameScope ()

 A node name scope for node names which are valid outputs of recomputations.
 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;

public com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes ()

 A node name scope for node names which are valid outputs of recomputations.
 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;

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;

public int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

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;

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;

chaîne publique getOptimizers (index int)

 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;

public com.google.protobuf.ByteString getOptimizersBytes (index int)

 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;

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;

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;

publique getParserForType ()

public RewriterConfig.Toggle getPinToHostOptimization ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public int getPinToHostOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public VerifierConfig getPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Toggle getRemapping ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

public int getRemappingValue ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

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;

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;

public ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int getSerializedSize ()

public RewriterConfig.Toggle getShapeOptimization ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

public int getShapeOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

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

public booléen hasAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

public booléen hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public booléen hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public booléen hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

code de hachage int public ()

public final booléen isInitialized ()

public statique RewriterConfig.Builder newBuilder ()

public statique RewriterConfig.Builder newBuilder (prototype RewriterConfig )

public RewriterConfig.Builder newBuilderForType ()

public statique RewriterConfig parseDelimitedFrom (entrée InputStream)

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public static RewriterConfig parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique RewriterConfig parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique RewriterConfig parseFrom (entrée com.google.protobuf.CodedInputStream)

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public statique RewriterConfig parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique RewriterConfig parseFrom (données ByteBuffer)

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public statique RewriterConfig parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique RewriterConfig parseFrom (données com.google.protobuf.ByteString)

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public statique RewriterConfig parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique RewriterConfig parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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public statique analyseur ()

public RewriterConfig.Builder toBuilder ()

public void writeTo (sortie com.google.protobuf.CodedOutputStream)

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