RewriterConfig.Builder

clase final estática pública RewriterConfig.Builder

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

Métodos públicos

RewriterConfig.Builder
addAllCustomOptimizers (Iterable<? extiende los valores de RewriterConfig.CustomGraphOptimizer >)
 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
addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
 list of CustomGraphOptimizers to apply.
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 int)
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder
agregarCustomOptimizersBuilder ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
addOptimizers (valor de cadena)
 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 del objeto)
Configuración de reescritura
Configuración de reescritura
RewriterConfig.Builder
claro ()
RewriterConfig.Builder
borrarOptimizaciónAritmética ()
 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
borrarAutoParalelo ()
 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
claroConstantFolding ()
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
RewriterConfig.Builder
borrarCpuLayoutConversion ()
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.Builder
clearCustomOptimizers ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
borrarDebugStripper ()
 Strips debug-related nodes from the graph (off by default).
RewriterConfig.Builder
borrarDependencyOptimization ()
 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
borrarFailOnOptimizerErrors ()
 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
clearFunctionOptimización ()
 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
clearLoopOptimización ()
 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
borrarMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
RewriterConfig.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
RewriterConfig.Builder
borrarOptimizadores ()
 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
clearPinToHostOptimización ()
 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
borrarRemapeo ()
 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
obtener optimización aritmética ()
 Arithmetic optimizations (default is ON)
 e.g.
entero
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).
entero
getAutoMixedPrecisionMklValue ()
 Optimize data types for MKL (default is OFF).
entero
getAutoMixedPrecisionValue ()
 Optimize data types for CUDA (default is OFF).
Opciones de AutoParalelo
getAutoParalelo ()
 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.
entero
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.
entero
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.
entero
getCpuLayoutConversionValue ()
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer
getCustomOptimizers (índice int)
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizer.Builder
getCustomOptimizersBuilder (índice int)
 list of CustomGraphOptimizers to apply.
Lista< RewriterConfig.CustomGraphOptimizer.Builder >
getCustomOptimizersBuilderList ()
 list of CustomGraphOptimizers to apply.
entero
getCustomOptimizersCount ()
 list of CustomGraphOptimizers to apply.
Lista< RewriterConfig.CustomGraphOptimizer >
getLista de optimizadores personalizados ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder
getCustomOptimizersOrBuilder (índice int)
 list of CustomGraphOptimizers to apply.
Lista<? extiende RewriterConfig.CustomGraphOptimizerOrBuilder >
getCustomOptimizersOrBuilderList ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle
obtenerDebugStripper ()
 Strips debug-related nodes from the graph (off by default).
entero
getDebugStripperValue ()
 Strips debug-related nodes from the graph (off by default).
Configuración de reescritura
RewriterConfig.Toggle
getDependencyOptimization ()
 Control dependency optimizations (default is ON).
entero
getDependencyOptimizationValue ()
 Control dependency optimizations (default is ON).
com.google.protobuf.Descriptors.Descriptor estático final
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
getFunctionOptimización ()
 Function optimizations (default is ON).
entero
getFunctionOptimizationValue ()
 Function optimizations (default is ON).
RewriterConfig.Toggle
getImplementationSelector ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
entero
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.
VerificadorConfig.Builder
getInterOptimizerVerifierConfigBuilder ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
VerificadorConfigOrBuilder
getInterOptimizerVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle
getLayoutOptimizer ()
 Optimize tensor layouts (default is ON)
 e.g.
entero
getLayoutOptimizerValue ()
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Toggle
getLoopOptimización ()
 Loop optimizations (default is ON).
entero
getLoopOptimizationValue ()
 Loop optimizations (default is ON).
RewriterConfig.MemOptType
getMemoryOptimization ()
 Configures memory optimization passes through the meta-optimizer.
entero
getMemoryOptimizationValue ()
 Configures memory optimization passes through the meta-optimizer.
Cadena
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).
entero
getMetaOptimizerIterationsValue ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
largo
getMetaOptimizerTimeoutMs ()
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
entero
getMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
Cadena
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).
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).
entero
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
getPinToHostOptimización ()
 Force small ops onto the CPU (default is OFF).
entero
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.
VerificadorConfig.Builder
getPostOptimizationVerifierConfigBuilder ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
VerificadorConfigOrBuilder
getPostOptimizationVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
RewriterConfig.Toggle
obtenerRemapeo ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
entero
obtenerRemappingValue ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle
getScopedAllocatorOptimización ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
entero
getScopedAllocatorOptimizationValue ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
Opciones de asignación de ámbito
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
getShapeOptimización ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
entero
getShapeOptimizationValue ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
booleano
tieneAutoParallel ()
 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
tienePostOptimizationVerifierConfig ()
 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 de 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 otro)
RewriterConfig.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
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;
RewriterConfig.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
RewriterConfig.Builder
eliminarCustomOptimizers (índice int)
 list of CustomGraphOptimizers to apply.
RewriterConfig.Builder
setArithmeticOptimization (valor RewriterConfig.Toggle )
 Arithmetic optimizations (default is ON)
 e.g.
RewriterConfig.Builder
setArithmeticOptimizationValue (valor int)
 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 int)
 Optimize data types for MKL (default is OFF).
RewriterConfig.Builder
setAutoMixedPrecisionValue (valor int)
 Optimize data types for CUDA (default is OFF).
RewriterConfig.Builder
setAutoParallel ( AutoParallelOptions.Builder builderForValue)
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Builder
setAutoParallel (valor de 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 int)
 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 int)
 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 int)
 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 int)
 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 int)
 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 del objeto)
RewriterConfig.Builder
setFunctionOptimization (valor RewriterConfig.Toggle )
 Function optimizations (default is ON).
RewriterConfig.Builder
setFunctionOptimizationValue (valor int)
 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 int)
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
RewriterConfig.Builder
setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)
 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 int)
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Builder
setLoopOptimization (valor RewriterConfig.Toggle )
 Loop optimizations (default is ON).
RewriterConfig.Builder
setLoopOptimizationValue (valor int)
 Loop optimizations (default is ON).
RewriterConfig.Builder
setMemoryOptimization (valor RewriterConfig.MemOptType )
 Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder
setMemoryOptimizationValue (valor int)
 Configures memory optimization passes through the meta-optimizer.
RewriterConfig.Builder
setMemoryOptimizerTargetNodeNameScope (valor de cadena)
 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 int)
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
RewriterConfig.Builder
setMetaOptimizerTimeoutMs (valor largo)
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
RewriterConfig.Builder
setMinGraphNodes (valor int)
 The minimum number of nodes in a graph to optimizer.
RewriterConfig.Builder
setOptimizers (índice int, valor de cadena)
 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 int)
 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 builderForValue)
 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 int)
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
RewriterConfig.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del 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 int)
 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 builderForValue)
.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 int)
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
RewriterConfig.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

Métodos públicos

public RewriterConfig.Builder addAllCustomOptimizers (Iterable<? extiende los valores de RewriterConfig.CustomGraphOptimizer >)

 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;

público 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;

público 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;

público RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()

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

public RewriterConfig.Builder addOptimizers (valor de cadena)

 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;

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

compilación pública de RewriterConfig ()

público RewriterConfig buildPartial ()

público RewriterConfig.Builder claro ()

público 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;

público 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;

público 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;

público 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;

público 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)

público RewriterConfig.Builder clearFunctionOptimization ()

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

público 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;

público 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;

público 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 oneof)

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;

público 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;

público 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;

clon público de RewriterConfig.Builder ()

pública 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;

público 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;

público 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;

opciones públicas de AutoParallel getAutoParallel ()

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

público 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;

público 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;

público 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;

público 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;

público 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<? extiende RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

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

público 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;

público RewriterConfig getDefaultInstanceForType ()

pública 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;

público estático final 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;

público RewriterConfig.Toggle getFunctionOptimization ()

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

público int getFunctionOptimizationValue ()

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

público 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;

público VerifierConfig getInterOptimizerVerifierConfig ()

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

público VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder ()

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

público VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

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

público 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;

público 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;

público 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;

Cadena 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;

público 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;

público 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 largo 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;

getOptimizers de cadena pública (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;

público 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;

público 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;

público VerifierConfig getPostOptimizationVerifierConfig ()

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

público 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;

público VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

público RewriterConfig.Toggle getRemapping ()

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

público int getRemappingValue ()

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

público 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;

público ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público 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;

hasAutoParallel público booleano ()

 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 otro)

público RewriterConfig.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza
IOExcepción

público RewriterConfig.Builder mergeInterOptimizerVerifierConfig (valor VerifierConfig )

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

público 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;

público RewriterConfig.Builder mergeScopedAllocatorOpts (valor ScopedAllocatorOptions )

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

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

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;

público 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;

público 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;

público 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;

público RewriterConfig.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del 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;

público 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 de cadena)

 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 largo)

 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 de cadena)

 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;

público 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;

público 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;

público RewriterConfig.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del 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;

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