RewriterConfig

публичный финальный класс RewriterConfig

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

Тип protobuf tensorflow.RewriterConfig

Вложенные классы

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

Константы

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

Публичные методы

логическое значение	равно (Объект obj)
RewriterConfig.Toggle	getАрифметическаяОптимизация () Arithmetic optimizations (default is ON) e.g.
интервал	getАрифметическоеОптимизационногоЗначения () 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).
интервал	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
интервал	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Автопараллельные параметры	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
АутоПараллелОптионсОрБилдер	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.
интервал	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.
интервал	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.
интервал	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (индекс int) list of CustomGraphOptimizers to apply.
интервал	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Список < RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (индекс int) list of CustomGraphOptimizers to apply.
Список <? расширяет RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
интервал	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
статический RewriterConfig	getDefaultInstance ()
RewriterConfig	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
интервал	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
окончательный статический com.google.protobuf.Descriptors.Descriptor	получитьдескриптор ()
логическое значение	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
логическое значение	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
логическое значение	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
логическое значение	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
интервал	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
интервал	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
Конфигурация Верификатора	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
Верификаторконфигорбилдер	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
интервал	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
интервал	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
интервал	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
Нить	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).
интервал	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
длинный	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
интервал	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
Нить	getOptimizers (индекс целого числа) 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 (индекс целого числа) 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).
интервал	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	получитьСписокОптимизаторов () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
	getParserForType ()
RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
интервал	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
Конфигурация Верификатора	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
Верификаторконфигорбилдер	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
интервал	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
интервал	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Параметры ScopedAllocator	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
интервал	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
интервал	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
окончательный com.google.protobuf.UnknownFieldSet	getUnknownFields ()
логическое значение	имеетАвтоПараллель () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
логическое значение	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
логическое значение	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
логическое значение	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
интервал	хэш-код ()
последнее логическое значение	isInitialized ()
статический RewriterConfig.Builder	новыйстроитель ()
статический RewriterConfig.Builder	newBuilder (прототип RewriterConfig )
RewriterConfig.Builder	новыйБилдерФорТип ()
статический RewriterConfig	parseDelimitedFrom (входной поток)
статический RewriterConfig	parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический RewriterConfig	parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический RewriterConfig	parseFrom (вход com.google.protobuf.CodedInputStream)
статический RewriterConfig	parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический RewriterConfig	parseFrom (данные ByteBuffer)
статический RewriterConfig	parseFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический RewriterConfig	parseFrom (данные com.google.protobuf.ByteString)
статический RewriterConfig	parseFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический RewriterConfig	parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический	парсер ()
RewriterConfig.Builder	toBuilder ()
пустота	writeTo (вывод com.google.protobuf.CodedOutputStream)

Унаследованные методы

Из класса java.lang.Object

логическое значение	равно (Объект arg0)
последний класс<?>	получитьКласс ()
интервал	хэш-код ()
окончательная пустота	уведомить ()
окончательная пустота	уведомитьВсе ()
Нить	toString ()
окончательная пустота	подождать (длинный arg0, int arg1)
окончательная пустота	подождите (длинный arg0)
окончательная пустота	ждать ()

Из интерфейса org.tensorflow.proto.framework.RewriterConfigOrBuilder

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

Константы

общедоступный статический окончательный int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 7

общедоступный статический окончательный int AUTO_MIXED_PRECISION_FIELD_NUMBER

Постоянное значение: 23

общедоступный статический окончательный int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Постоянное значение: 25

общедоступный статический окончательный int AUTO_PARALLEL_FIELD_NUMBER

Постоянное значение: 5

общедоступный статический окончательный int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Постоянное значение: 24

общедоступный статический окончательный int CONSTANT_FOLDING_FIELD_NUMBER

Постоянное значение: 3

общедоступный статический окончательный int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Постоянное значение: 50

общедоступный статический окончательный int CUSTOM_OPTIMIZERS_FIELD_NUMBER

Постоянное значение: 200

общедоступный статический финал int DEBUG_STRIPPER_FIELD_NUMBER

Постоянное значение: 11

общедоступный статический окончательный int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 8

общедоступный статический окончательный int DISABLE_META_OPTIMIZER_FIELD_NUMBER

Постоянное значение: 19

общедоступный статический окончательный int DISABLE_MODEL_PRUNING_FIELD_NUMBER

Постоянное значение: 2

общедоступный статический окончательный int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 26

общедоступный статический окончательный int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Постоянное значение: 21

общедоступный статический окончательный int FUNCTION_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 10

общедоступный статический окончательный int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Постоянное значение: 22

общедоступный статический окончательный int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Постоянное значение: 300

общедоступный статический окончательный int LAYOUT_OPTIMIZER_FIELD_NUMBER

Постоянное значение: 1

общедоступный статический окончательный int LOOP_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 9

общедоступный статический окончательный int MEMORY_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 4

общедоступный статический окончательный int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Постоянное значение: 6

общедоступный статический окончательный int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

Постоянное значение: 12

общедоступный статический финал int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Постоянное значение: 20

общедоступный статический окончательный int MIN_GRAPH_NODES_FIELD_NUMBER

Постоянное значение: 17

общедоступный статический окончательный int OPTIMIZERS_FIELD_NUMBER

Постоянное значение: 100

общедоступный статический окончательный int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 18

общедоступный статический окончательный int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Постоянное значение: 301

общедоступный статический окончательный int REMAPPING_FIELD_NUMBER

Постоянное значение: 14

общедоступный статический окончательный int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 15

общедоступный статический окончательный int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Постоянное значение: 16

общедоступный статический окончательный int SHAPE_OPTIMIZATION_FIELD_NUMBER

Постоянное значение: 13

Публичные методы

общедоступное логическое значение равно (Object obj)

public RewriterConfig.Toggle getArithmeticOptimization ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

public int getArithmeticOptimizationValue ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

public RewriterConfig.Toggle getAutoMixedPrecision ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

public RewriterConfig.Toggle getAutoMixedPrecisionMkl ()

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

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionMklValue ()

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

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionValue ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

общедоступные AutoParallelOptions getAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

public RewriterConfig.Toggle getCommonSubgraphElimination ()

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

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

public int getCommonSubgraphEliminationValue ()

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

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

public RewriterConfig.Toggle getConstantFolding ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

public int getConstantFoldingValue ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

public RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public RewriterConfig.CustomGraphOptimizer getCustomOptimizers (индекс int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

общедоступный список < RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (индекс int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

общедоступный список<? расширяет RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

общедоступный статический RewriterConfig getDefaultInstance ()

public RewriterConfig getDefaultInstanceForType ()

public RewriterConfig.Toggle getDependencyOptimization ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

public int getDependencyOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()

общедоступное логическое значение getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

общедоступное логическое значение getDisableModelPruning ()

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

bool disable_model_pruning = 2;

общедоступное логическое значение 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;

общедоступное логическое значение getFailOnOptimizerErrors ()

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

bool fail_on_optimizer_errors = 21;

public RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public RewriterConfig.Toggle getLayoutOptimizer ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public int getLayoutOptimizerValue ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public RewriterConfig.MemOptType getMemoryOptimization ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

public int getMemoryOptimizationValue ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

общедоступная строка getMemoryOptimizerTargetNodeNameScope ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

public com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

public RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

public int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

общедоступный длинный getMetaOptimizerTimeoutMs ()

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

int64 meta_optimizer_timeout_ms = 20;

public int getMinGraphNodes ()

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

int32 min_graph_nodes = 17;

общедоступная строка getOptimizers (индекс int)

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

repeated string optimizers = 100;

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

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

repeated string optimizers = 100;

public int getOptimizersCount ()

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

repeated string optimizers = 100;

общедоступный 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;

общественный getParserForType ()

public RewriterConfig.Toggle getPinToHostOptimization ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public int getPinToHostOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public VerifierConfig getPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Toggle getRemapping ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

public int getRemappingValue ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

public RewriterConfig.Toggle getScopedAllocatorOptimization ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

public int getScopedAllocatorOptimizationValue ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

public ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int getSerializedSize ()

public RewriterConfig.Toggle getShapeOptimization ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

public int getShapeOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

публичный финал com.google.protobuf.UnknownFieldSet getUnknownFields ()

общедоступное логическое значение hasAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

общедоступное логическое значение hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

общедоступное логическое значение hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

общедоступное логическое значение hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int hashCode ()

публичное окончательное логическое значение isInitialized ()

общедоступный статический RewriterConfig.Builder newBuilder ()

public static RewriterConfig.Builder newBuilder (прототип RewriterConfig )

общедоступный RewriterConfig.Builder newBuilderForType ()

общедоступный статический RewriterConfig parseDelimitedFrom (входной поток InputStream)

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Исключение IO

общедоступный статический RewriterConfig parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

public static RewriterConfig parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Инвалидпротоколбуфферисключение

общедоступный статический анализ RewriterConfig (вход com.google.protobuf.CodedInputStream)

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Исключение IO

public static RewriterConfig parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Инвалидпротоколбуфферисключение

общедоступный статический RewriterConfig parseFrom (данные ByteBuffer)

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Инвалидпротоколбуфферисключение

public static RewriterConfig parseFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

общедоступный статический RewriterConfig parseFrom (данные com.google.protobuf.ByteString)

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Инвалидпротоколбуфферисключение

общедоступный статический RewriterConfig parseFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

public static RewriterConfig parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Инвалидпротоколбуфферисключение

общественный статический парсер ()

public RewriterConfig.Builder toBuilder ()

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

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Исключение IO