RewriterConfig

clase final pública RewriterConfig

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

Protobuf tipo tensorflow.RewriterConfig

Clases anidadas

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

Constantes

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

Métodos públicos

booleano	es igual (Objeto obj)
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.
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.
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).
RewriterConfig estático	getDefaultInstancia ()
Configuración de reescritura	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
entero	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
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.
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).
	getParserForType ()
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.
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;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
entero	getSerializedSize ()
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.
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
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;
entero	código hash ()
booleano final	está inicializado ()
RewriterConfig.Builder estático	nuevoConstructor ()
RewriterConfig.Builder estático	newBuilder (prototipo RewriterConfig )
RewriterConfig.Builder	nuevoBuilderForType ()
RewriterConfig estático	parseDelimitedFrom (entrada de InputStream)
RewriterConfig estático	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig estático	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig estático	parseFrom (entrada com.google.protobuf.CodedInputStream)
RewriterConfig estático	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig estático	parseFrom (datos de ByteBuffer)
RewriterConfig estático	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
RewriterConfig estático	parseFrom (datos com.google.protobuf.ByteString)
RewriterConfig estático	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig estático	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
RewriterConfig.Builder	al constructor ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.RewriterConfigOrBuilder

resumen RewriterConfig.Toggle	obtener optimización aritmética () Arithmetic optimizations (default is ON) e.g.
resumen entero	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
resumen RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
resumen RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
resumen entero	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
resumen entero	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Opciones abstractas de AutoParallel	getAutoParalelo () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
Resumen AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
resumen RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
resumen entero	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
resumen RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
resumen entero	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
resumen RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
resumen entero	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
resumen RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (índice int) list of CustomGraphOptimizers to apply.
resumen entero	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Lista abstracta< RewriterConfig.CustomGraphOptimizer >	getLista de optimizadores personalizados () list of CustomGraphOptimizers to apply.
abstracto RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (índice int) list of CustomGraphOptimizers to apply.
Lista abstracta<? extiende RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
resumen RewriterConfig.Toggle	obtenerDebugStripper () Strips debug-related nodes from the graph (off by default).
resumen entero	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
resumen RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
resumen entero	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
booleano abstracto	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
booleano abstracto	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
booleano abstracto	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
booleano abstracto	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
resumen RewriterConfig.Toggle	getFunctionOptimización () Function optimizations (default is ON).
resumen entero	getFunctionOptimizationValue () Function optimizations (default is ON).
resumen RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
resumen entero	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
VerificadorConfig abstracto	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
abstracto VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
resumen RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
resumen entero	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
resumen RewriterConfig.Toggle	getLoopOptimización () Loop optimizations (default is ON).
resumen entero	getLoopOptimizationValue () Loop optimizations (default is ON).
resumen RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
resumen entero	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
cadena abstracta	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
resumen com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
resumen RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
resumen entero	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
abstracto largo	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
resumen entero	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
cadena abstracta	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).
resumen 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).
resumen 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).
Lista abstracta<Cadena>	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).
resumen RewriterConfig.Toggle	getPinToHostOptimización () Force small ops onto the CPU (default is OFF).
resumen entero	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
VerificadorConfig abstracto	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstracto VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
resumen RewriterConfig.Toggle	obtenerRemapeo () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
resumen entero	obtenerRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
resumen RewriterConfig.Toggle	getScopedAllocatorOptimización () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
resumen entero	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Resumen ScopedAllocatorOptions	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstracto ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
resumen RewriterConfig.Toggle	getShapeOptimización () Shape optimizations (default is ON) Simplify computations made on shapes.
resumen entero	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
booleano abstracto	tieneAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
booleano abstracto	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
booleano abstracto	tienePostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
booleano abstracto	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Constantes

int final estático público ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Valor constante: 7

int final estático público AUTO_MIXED_PRECISION_FIELD_NUMBER

Valor constante: 23

int final estático público AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Valor constante: 25

int final estático público AUTO_PARALLEL_FIELD_NUMBER

Valor constante: 5

int final estático público COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Valor constante: 24

int final estático público CONSTANT_FOLDING_FIELD_NUMBER

Valor constante: 3

int final estático público CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Valor constante: 50

int final estático público CUSTOM_OPTIMIZERS_FIELD_NUMBER

Valor constante: 200

int final estático público DEBUG_STRIPPER_FIELD_NUMBER

Valor constante: 11

int final estático público DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Valor constante: 8

int final estático público DISABLE_META_OPTIMIZER_FIELD_NUMBER

Valor constante: 19

int final estático público DISABLE_MODEL_PRUNING_FIELD_NUMBER

Valor constante: 2

int final estático público EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Valor constante: 26

int final estático público FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Valor constante: 21

int final estático público FUNCTION_OPTIMIZATION_FIELD_NUMBER

Valor constante: 10

int final estático público IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Valor constante: 22

público estático final int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Valor constante: 300

int final estático público LAYOUT_OPTIMIZER_FIELD_NUMBER

Valor constante: 1

int final estático público LOOP_OPTIMIZATION_FIELD_NUMBER

Valor constante: 9

int final estático público MEMORY_OPTIMIZATION_FIELD_NUMBER

Valor constante: 4

int final estático público MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Valor constante: 6

int final estático público META_OPTIMIZER_ITERATION_FIELD_NUMBER

Valor constante: 12

int final estático público META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Valor constante: 20

int final estático público MIN_GRAPH_NODES_FIELD_NUMBER

Valor constante: 17

int final estático público OPTIMIZERS_FIELD_NUMBER

Valor constante: 100

int final estático público PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Valor constante: 18

int final estático público POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Valor constante: 301

int final estático público REMAPPING_FIELD_NUMBER

Valor constante: 14

int final estático público SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Valor constante: 15

int final estático público SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Valor constante: 16

int final estático público SHAPE_OPTIMIZATION_FIELD_NUMBER

Valor constante: 13

Métodos públicos

público booleano es igual (Objeto obj)

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 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 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 estático RewriterConfig getDefaultInstance ()

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 ()

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 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 getParserForType ()

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 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 ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

público int getSerializedSize ()

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;

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

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;

código hash int público ()

público final booleano isInitialized ()

pública estática RewriterConfig.Builder newBuilder ()

public static RewriterConfig.Builder newBuilder (prototipo de RewriterConfig )

público RewriterConfig.Builder newBuilderForType ()

público estático RewriterConfig parseDelimitedFrom (entrada InputStream)

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IOExcepción

público estático RewriterConfig parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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parseFrom público estático de RewriterConfig (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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público estático RewriterConfig parseFrom (entrada com.google.protobuf.CodedInputStream)

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parseFrom público estático de RewriterConfig (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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Excepción de buffer de protocolo no válido

parseFrom público estático de RewriterConfig (datos de ByteBuffer)

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público estático RewriterConfig parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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parseFrom público estático de RewriterConfig (datos com.google.protobuf.ByteString)

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parseFrom público estático de RewriterConfig (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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público estático RewriterConfig parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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Excepción de buffer de protocolo no válido

estática pública analizador ()

público RewriterConfig.Builder toBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

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