RewriterConfig.Builder

classe final estática pública RewriterConfig.Builder

 Graph rewriting is experimental and subject to change, not covered by any
 API stability guarantees.
 
Tipo de protobuf tensorflow.RewriterConfig

Métodos Públicos

RewriterConfig.Builder
addAllCustomOptimizers (Iterable<? estende RewriterConfig.CustomGraphOptimizer > valores)
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
addAllOptimizers (valores Iterable<String>)
 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
RewriterConfig.Builder
addCustomOptimizers (índice int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
addCustomOptimizers (valor RewriterConfig.CustomGraphOptimizer )
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
addCustomOptimizers (índice int, valor RewriterConfig.CustomGraphOptimizer )
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder
addCustomOptimizersBuilder (índice interno)
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder
addCustomOptimizersBuilder ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
addOptimizers (valor da string)
 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 (valor com.google.protobuf.ByteString)
 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
RewriterConfig
RewriterConfig
RewriterConfig.Builder
claro ()
RewriterConfig.Builder
clearArithmeticOptimization ()
 Arithmetic optimizations (default is ON)
 e.g.
RewriterConfig.Builder
clearAutoMixedPrecision ()
 Optimize data types for CUDA (default is OFF).
RewriterConfig.Builder
clearAutoMixedPrecisionMkl ()
 Optimize data types for MKL (default is OFF).
RewriterConfig.Builder
limparAutoParallel ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder
clearCommonSubgraphElimination ()
 Common subgraph elimination (default is ON)
 e.g.
RewriterConfig.Builder
clearConstantFolding ()
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
RewriterConfig.Builder
clearCpuLayoutConversion ()
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.Builder
clearCustomOptimizers ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
limparDebugStripper ()
 Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder
clearDependencyOptimization ()
 Control dependency optimizations (default is ON).
RewriterConfig.Builder
clearDisableMetaOptimizer ()
 Disable the entire meta optimizer (off by default).
RewriterConfig.Builder
clearDisableModelPruning ()
 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;
RewriterConfig.Builder
clearExperimentalDisableCompressedTensorOptimization ()
 Disable optimizations that assume compressed tensors.
RewriterConfig.Builder
clearFailOnOptimizerErrors ()
 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error.
RewriterConfig.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
RewriterConfig.Builder
clearFunctionOptimization ()
 Function optimizations (default is ON).
RewriterConfig.Builder
clearImplementationSelector ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
RewriterConfig.Builder
clearInterOptimizerVerifierConfig ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Builder
clearLayoutOptimizer ()
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Builder
clearLoopOptimization ()
 Loop optimizations (default is ON).
RewriterConfig.Builder
clearMemoryOptimization ()
 Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder
clearMemoryOptimizerTargetNodeNameScope ()
 A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.Builder
clearMetaOptimizerIterations ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
RewriterConfig.Builder
clearMetaOptimizerTimeoutMs ()
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
RewriterConfig.Builder
clearMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
RewriterConfig.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof)
RewriterConfig.Builder
clearOptimizers ()
 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
RewriterConfig.Builder
clearPinToHostOptimization ()
 Force small ops onto the CPU (default is OFF).
RewriterConfig.Builder
clearPostOptimizationVerifierConfig ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Builder
limparRemapeamento ()
 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
clonar ()
RewriterConfig.Toggle
getArithmeticOptimization ()
 Arithmetic optimizations (default is ON)
 e.g.
interno
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).
interno
getAutoMixedPrecisionMklValue ()
 Optimize data types for MKL (default is OFF).
interno
getAutoMixedPrecisionValue ()
 Optimize data types for CUDA (default is OFF).
Opções AutoParallel
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
getCommonSubgraphElimination ()
 Common subgraph elimination (default is ON)
 e.g.
interno
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.
interno
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.
interno
getCpuLayoutConversionValue ()
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer
getCustomOptimizers (índice interno)
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder
getCustomOptimizersBuilder (índice interno)
 list of CustomGraphOptimizers to apply.
Lista< RewriterConfig.CustomGraphOptimizer.Builder >
getCustomOptimizersBuilderList ()
 list of CustomGraphOptimizers to apply.
interno
getCustomOptimizersCount ()
 list of CustomGraphOptimizers to apply.
Lista< RewriterConfig.CustomGraphOptimizer >
getCustomOptimizersList ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder
getCustomOptimizersOrBuilder (índice interno)
 list of CustomGraphOptimizers to apply.
Lista<? estende RewriterConfig.CustomGraphOptimizerOrBuilder >
getCustomOptimizersOrBuilderList ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle
getDebugStripper ()
 Strips debug-related nodes from the graph (off by default).
interno
getDebugStripperValue ()
 Strips debug-related nodes from the graph (off by default).
RewriterConfig
RewriterConfig.Toggle
getDependencyOptimization ()
 Control dependency optimizations (default is ON).
interno
getDependencyOptimizationValue ()
 Control dependency optimizations (default is ON).
final estático com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
booleano
getDisableMetaOptimizer ()
 Disable the entire meta optimizer (off by default).
booleano
getDisableModelPruning ()
 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;
booleano
getExperimentalDisableCompressedTensorOptimization ()
 Disable optimizations that assume compressed tensors.
booleano
getFailOnOptimizerErrors ()
 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error.
RewriterConfig.Toggle
getFunctionOptimization ()
 Function optimizations (default is ON).
interno
getFunctionOptimizationValue ()
 Function optimizations (default is ON).
RewriterConfig.Toggle
getImplementationSelector ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
interno
getImplementationSelectorValue ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
VerificadorConfig
getInterOptimizerVerifierConfig ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfig.Builder
getInterOptimizerVerifierConfigBuilder ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder
getInterOptimizerVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle
getLayoutOptimizer ()
 Optimize tensor layouts (default is ON)
 e.g.
interno
getLayoutOptimizerValue ()
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Toggle
getLoopOptimization ()
 Loop optimizations (default is ON).
interno
getLoopOptimizationValue ()
 Loop optimizations (default is ON).
RewriterConfig.MemOptType
getMemoryOptimization ()
 Configures memory optimization passes through the meta-optimizer.
interno
getMemoryOptimizationValue ()
 Configures memory optimization passes through the meta-optimizer.
Corda
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
getMetaOptimizerIterations ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
interno
getMetaOptimizerIterationsValue ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
longo
getMetaOptimizerTimeoutMs ()
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
interno
getMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
Corda
getOptimizers (índice interno)
 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 (índice interno)
 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).
interno
getOptimizersCount ()
 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
com.google.protobuf.ProtocolStringList
getOptimizersList ()
 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
RewriterConfig.Toggle
getPinToHostOptimization ()
 Force small ops onto the CPU (default is OFF).
interno
getPinToHostOptimizationValue ()
 Force small ops onto the CPU (default is OFF).
VerificadorConfig
getPostOptimizationVerifierConfig ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
VerifierConfig.Builder
getPostOptimizationVerifierConfigBuilder ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
VerifierConfigOrBuilder
getPostOptimizationVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Toggle
getRemapeamento ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
interno
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).
interno
getScopedAllocatorOptimizationValue ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
Opções de Allocator com Escopo
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.
interno
getShapeOptimizationValue ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
booleano
hasAutoParallel ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
booleano
hasInterOptimizerVerifierConfig ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
booleano
hasPostOptimizationVerifierConfig ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
booleano
hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
booleano final
RewriterConfig.Builder
mergeAutoParallel (valor AutoParallelOptions )
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder
mergeFrom (com.google.protobuf.Message outro)
RewriterConfig.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig.Builder
mergeInterOptimizerVerifierConfig (valor VerifierConfig )
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Builder
mergePostOptimizationVerifierConfig (valor VerifierConfig )
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Builder
mergeScopedAllocatorOpts (valor ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
final RewriterConfig.Builder
mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
RewriterConfig.Builder
removeCustomOptimizers (índice interno)
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
setArithmeticOptimization (valor RewriterConfig.Toggle )
 Arithmetic optimizations (default is ON)
 e.g.
RewriterConfig.Builder
setArithmeticOptimizationValue (valor interno)
 Arithmetic optimizations (default is ON)
 e.g.
RewriterConfig.Builder
setAutoMixedPrecision (valor RewriterConfig.Toggle )
 Optimize data types for CUDA (default is OFF).
RewriterConfig.Builder
setAutoMixedPrecisionMkl (valor RewriterConfig.Toggle )
 Optimize data types for MKL (default is OFF).
RewriterConfig.Builder
setAutoMixedPrecisionMklValue (valor interno)
 Optimize data types for MKL (default is OFF).
RewriterConfig.Builder
setAutoMixedPrecisionValue (valor interno)
 Optimize data types for CUDA (default is OFF).
RewriterConfig.Builder
setAutoParallel ( AutoParallelOptions.Builder construtorForValue)
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder
setAutoParallel (valor AutoParallelOptions )
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder
setCommonSubgraphElimination (valor RewriterConfig.Toggle )
 Common subgraph elimination (default is ON)
 e.g.
RewriterConfig.Builder
setCommonSubgraphEliminationValue (valor interno)
 Common subgraph elimination (default is ON)
 e.g.
RewriterConfig.Builder
setConstantFolding (valor RewriterConfig.Toggle )
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
RewriterConfig.Builder
setConstantFoldingValue (valor interno)
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
RewriterConfig.Builder
setCpuLayoutConversion (valor RewriterConfig.CpuLayout )
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.Builder
setCpuLayoutConversionValue (valor interno)
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.Builder
setCustomOptimizers (índice int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
setCustomOptimizers (índice int, valor RewriterConfig.CustomGraphOptimizer )
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
setDebugStripper (valor RewriterConfig.Toggle )
 Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder
setDebugStripperValue (valor interno)
 Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder
setDependencyOptimization (valor RewriterConfig.Toggle )
 Control dependency optimizations (default is ON).
RewriterConfig.Builder
setDependencyOptimizationValue (valor interno)
 Control dependency optimizations (default is ON).
RewriterConfig.Builder
setDisableMetaOptimizer (valor booleano)
 Disable the entire meta optimizer (off by default).
RewriterConfig.Builder
setDisableModelPruning (valor booleano)
 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;
RewriterConfig.Builder
setExperimentalDisableCompressedTensorOptimization (valor booleano)
 Disable optimizations that assume compressed tensors.
RewriterConfig.Builder
setFailOnOptimizerErrors (valor booleano)
 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error.
RewriterConfig.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
RewriterConfig.Builder
setFunctionOptimization (valor RewriterConfig.Toggle )
 Function optimizations (default is ON).
RewriterConfig.Builder
setFunctionOptimizationValue (valor interno)
 Function optimizations (default is ON).
RewriterConfig.Builder
setImplementationSelector (valor RewriterConfig.Toggle )
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
RewriterConfig.Builder
setImplementationSelectorValue (valor interno)
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
RewriterConfig.Builder
setInterOptimizerVerifierConfig ( VerifierConfig.Builder construtorForValue)
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Builder
setInterOptimizerVerifierConfig (valor VerifierConfig )
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Builder
setLayoutOptimizer (valor RewriterConfig.Toggle )
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Builder
setLayoutOptimizerValue (valor interno)
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Builder
setLoopOptimization (valor RewriterConfig.Toggle )
 Loop optimizations (default is ON).
RewriterConfig.Builder
setLoopOptimizationValue (valor interno)
 Loop optimizations (default is ON).
RewriterConfig.Builder
setMemoryOptimization (valor RewriterConfig.MemOptType )
 Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder
setMemoryOptimizationValue (valor interno)
 Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder
setMemoryOptimizerTargetNodeNameScope (valor da string)
 A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.Builder
setMemoryOptimizerTargetNodeNameScopeBytes (valor com.google.protobuf.ByteString)
 A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.Builder
setMetaOptimizerIterations (valor RewriterConfig.NumIterationsType )
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
RewriterConfig.Builder
setMetaOptimizerIterationsValue (valor interno)
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
RewriterConfig.Builder
setMetaOptimizerTimeoutMs (valor longo)
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
RewriterConfig.Builder
setMinGraphNodes (valor interno)
 The minimum number of nodes in a graph to optimizer.
RewriterConfig.Builder
setOptimizers (índice int, valor String)
 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
RewriterConfig.Builder
setPinToHostOptimization (valor RewriterConfig.Toggle )
 Force small ops onto the CPU (default is OFF).
RewriterConfig.Builder
setPinToHostOptimizationValue (valor interno)
 Force small ops onto the CPU (default is OFF).
RewriterConfig.Builder
setPostOptimizationVerifierConfig (valor VerifierConfig )
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Builder
setPostOptimizationVerifierConfig ( VerifierConfig.Builder construtorForValue)
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Builder
setRemapping (valor RewriterConfig.Toggle )
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder
setRemappingValue (valor interno)
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
RewriterConfig.Builder
setScopedAllocatorOptimization (valor RewriterConfig.Toggle )
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
RewriterConfig.Builder
setScopedAllocatorOptimizationValue (valor interno)
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
RewriterConfig.Builder
setScopedAllocatorOpts (valor ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder construtorForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
setShapeOptimization (valor RewriterConfig.Toggle )
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
RewriterConfig.Builder
setShapeOptimizationValue (valor interno)
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
final RewriterConfig.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)

Métodos herdados

Métodos Públicos

public RewriterConfig.Builder addAllCustomOptimizers (Iterable<? estende RewriterConfig.CustomGraphOptimizer > valores)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

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

 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 RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder addCustomOptimizers (índice int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Builder addCustomOptimizers (valor RewriterConfig.CustomGraphOptimizer )

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder addCustomOptimizers (índice int, valor RewriterConfig.CustomGraphOptimizer )

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (índice int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Builder addOptimizers (valor de string)

 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;

público RewriterConfig.Builder addOptimizersBytes (valor com.google.protobuf.ByteString)

 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 RewriterConfig.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

compilação pública RewriterConfig ()

public RewriterConfig buildPartial ()

público RewriterConfig.Builder claro ()

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;

público RewriterConfig.Builder clearAutoMixedPrecision ()

 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;

público RewriterConfig.Builder clearAutoMixedPrecisionMkl ()

 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;

público 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;

público RewriterConfig.Builder clearCommonSubgraphElimination ()

 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.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;

público RewriterConfig.Builder clearCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public RewriterConfig.Builder clearCustomOptimizers ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder clearDebugStripper ()

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

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;

público RewriterConfig.Builder clearDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 
bool disable_meta_optimizer = 19;

público RewriterConfig.Builder clearDisableModelPruning ()

 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;

public RewriterConfig.Builder clearExperimentalDisableCompressedTensorOptimization ()

 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;

público RewriterConfig.Builder clearFailOnOptimizerErrors ()

 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error. By default - or when set to false, failing passes are
 skipped silently.
 
bool fail_on_optimizer_errors = 21;

público RewriterConfig.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

public RewriterConfig.Builder clearFunctionOptimization ()

 Function optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Builder clearImplementationSelector ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

público RewriterConfig.Builder clearInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

público 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;

público RewriterConfig.Builder clearLoopOptimization ()

 Loop optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

público 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;

public RewriterConfig.Builder clearMemoryOptimizerTargetNodeNameScope ()

 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;

público RewriterConfig.Builder clearMetaOptimizerIterations ()

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

public RewriterConfig.Builder clearMetaOptimizerTimeoutMs ()

 Maximum number of milliseconds to spend optimizing a single graph before
 timing out. If equal to 0 the system picks a default (currently 5 minutes).
 If less than 0 the optimizer will never time out.
 
int64 meta_optimizer_timeout_ms = 20;

público RewriterConfig.Builder clearMinGraphNodes ()

 The minimum number of nodes in a graph to optimizer. For smaller graphs,
 optimization is skipped.
 0 means the system picks an appropriate number.
 < 0 means do not skip optimization.
 
int32 min_graph_nodes = 17;

público RewriterConfig.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof)

público RewriterConfig.Builder clearOptimizers ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 
repeated string optimizers = 100;

público RewriterConfig.Builder clearPinToHostOptimization ()

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public RewriterConfig.Builder clearPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Builder clearRemapping ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
.tensorflow.RewriterConfig.Toggle remapping = 14;

público 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;

público RewriterConfig.Builder clearScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público RewriterConfig.Builder clearShapeOptimization ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

clone público RewriterConfig.Builder ()

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;

público 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;

público 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;

público 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 AutoParallelOptionsgetAutoParallel ( )

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

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;

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;

público 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;

público int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

público RewriterConfig.CustomGraphOptimizer getCustomOptimizers (índice int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (índice int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Lista pública< RewriterConfig.CustomGraphOptimizer.Builder > getCustomOptimizersBuilderList ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Lista pública< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (índice int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Lista pública<? estende 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;

público int getDebugStripperValue ()

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

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;

público int getDependencyOptimizationValue ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

final estático público com.google.protobuf.Descriptors.Descriptor getDescriptor ()

público com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

getDisableMetaOptimizer booleano público ()

 Disable the entire meta optimizer (off by default).
 
bool disable_meta_optimizer = 19;

getDisableModelPruning booleano público ()

 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;

público booleano 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;

getFailOnOptimizerErrors booleano público ()

 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;

público 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 VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder ()

 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;

público 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;

público 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;

público 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;

String pública 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;

público int getMetaOptimizerIterationsValue ()

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

público longo 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;

público 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;

string pública getOptimizers (índice 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;

público com.google.protobuf.ByteString getOptimizersBytes (índice 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;

público 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;

public RewriterConfig.Toggle getPinToHostOptimization ()

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

público 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 VerifierConfig.Builder getPostOptimizationVerifierConfigBuilder ()

 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;

público 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 ScopedAllocatorOptionsgetScopedAllocatorOpts ( )

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public RewriterConfig.Toggle getShapeOptimization ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

público int getShapeOptimizationValue ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

público booleano hasAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

hasInterOptimizerVerifierConfig booleano público ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

hasPostOptimizationVerifierConfig booleano público ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

hasScopedAllocatorOpts booleano público ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público final booleano isInitialized ()

public RewriterConfig.Builder mergeAutoParallel (valor AutoParallelOptions )

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

público RewriterConfig.Builder mergeFrom (com.google.protobuf.Message outro)

public RewriterConfig.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public RewriterConfig.Builder mergeInterOptimizerVerifierConfig (valor VerifierConfig )

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public RewriterConfig.Builder mergePostOptimizationVerifierConfig (valor VerifierConfig )

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Builder mergeScopedAllocatorOpts (valor ScopedAllocatorOptions )

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

final público RewriterConfig.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)

público RewriterConfig.Builder removeCustomOptimizers (índice int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder setArithmeticOptimization (valor RewriterConfig.Toggle )

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

público RewriterConfig.Builder setArithmeticOptimizationValue (valor int)

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

público RewriterConfig.Builder setAutoMixedPrecision (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setAutoMixedPrecisionMkl (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setAutoMixedPrecisionMklValue (valor int)

 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;

público RewriterConfig.Builder setAutoMixedPrecisionValue (valor int)

 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;

público 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;

public RewriterConfig.Builder setAutoParallel (valor AutoParallelOptions )

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

público RewriterConfig.Builder setCommonSubgraphElimination (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setCommonSubgraphEliminationValue (valor int)

 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.Builder setConstantFolding (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setConstantFoldingValue (valor int)

 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;

público RewriterConfig.Builder setCpuLayoutConversion (valor RewriterConfig.CpuLayout )

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

público RewriterConfig.Builder setCpuLayoutConversionValue (valor int)

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

público RewriterConfig.Builder setCustomOptimizers (índice int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder setCustomOptimizers (índice int, valor RewriterConfig.CustomGraphOptimizer )

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

público RewriterConfig.Builder setDebugStripper (valor RewriterConfig.Toggle )

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

público RewriterConfig.Builder setDebugStripperValue (valor int)

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

público RewriterConfig.Builder setDependencyOptimization (valor RewriterConfig.Toggle )

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

público RewriterConfig.Builder setDependencyOptimizationValue (valor int)

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

público RewriterConfig.Builder setDisableMetaOptimizer (valor booleano)

 Disable the entire meta optimizer (off by default).
 
bool disable_meta_optimizer = 19;

público RewriterConfig.Builder setDisableModelPruning (valor booleano)

 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;

public RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (valor booleano)

 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;

público RewriterConfig.Builder setFailOnOptimizerErrors (valor booleano)

 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.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

público RewriterConfig.Builder setFunctionOptimization (valor RewriterConfig.Toggle )

 Function optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle function_optimization = 10;

público RewriterConfig.Builder setFunctionOptimizationValue (valor int)

 Function optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle function_optimization = 10;

público RewriterConfig.Builder setImplementationSelector (valor RewriterConfig.Toggle )

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

público RewriterConfig.Builder setImplementationSelectorValue (valor int)

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

público RewriterConfig.Builder setInterOptimizerVerifierConfig (valor VerifierConfig )

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

público RewriterConfig.Builder setLayoutOptimizer (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setLayoutOptimizerValue (valor int)

 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;

público RewriterConfig.Builder setLoopOptimization (valor RewriterConfig.Toggle )

 Loop optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

público RewriterConfig.Builder setLoopOptimizationValue (valor int)

 Loop optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

público RewriterConfig.Builder setMemoryOptimization (valor RewriterConfig.MemOptType )

 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;

público RewriterConfig.Builder setMemoryOptimizationValue (valor int)

 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;

público RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope (valor da string)

 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;

público RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes (valor com.google.protobuf.ByteString)

 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;

público RewriterConfig.Builder setMetaOptimizerIterations (valor RewriterConfig.NumIterationsType )

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

público RewriterConfig.Builder setMetaOptimizerIterationsValue (valor int)

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

público RewriterConfig.Builder setMetaOptimizerTimeoutMs (valor longo)

 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;

público RewriterConfig.Builder setMinGraphNodes (valor int)

 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;

público RewriterConfig.Builder setOptimizers (índice int, valor String)

 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;

público RewriterConfig.Builder setPinToHostOptimization (valor RewriterConfig.Toggle )

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

público RewriterConfig.Builder setPinToHostOptimizationValue (valor int)

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

público RewriterConfig.Builder setPostOptimizationVerifierConfig (valor VerifierConfig )

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Builder setPostOptimizationVerifierConfig ( VerifierConfig.Builder builderForValue)

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Builder setRemapping (valor RewriterConfig.Toggle )

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
.tensorflow.RewriterConfig.Toggle remapping = 14;

público RewriterConfig.Builder setRemappingValue (valor int)

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
.tensorflow.RewriterConfig.Toggle remapping = 14;

public RewriterConfig.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)

público RewriterConfig.Builder setScopedAllocatorOptimization (valor RewriterConfig.Toggle )

 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;

público RewriterConfig.Builder setScopedAllocatorOptimizationValue (valor int)

 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;

público RewriterConfig.Builder setScopedAllocatorOpts (valor ScopedAllocatorOptions )

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público RewriterConfig.Builder setShapeOptimization (valor RewriterConfig.Toggle )

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

público RewriterConfig.Builder setShapeOptimizationValue (valor int)

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

final público RewriterConfig.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)