публичный статический конечный класс RewriterConfig.Builder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.Тип protobuf
tensorflow.RewriterConfig Публичные методы
| RewriterConfig.Builder | addAllCustomOptimizers (Iterable<? расширяет значения RewriterConfig.CustomGraphOptimizer >) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addAllOptimizers (значения 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 (индекс int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (значение RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (индекс int, значение RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder (индекс int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | добавитьCustomOptimizersBuilder () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addOptimizers (строковое значение) 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 (значение 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 (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта) |
| RewriterConfig | строить () |
| RewriterConfig | |
| RewriterConfig.Builder | прозрачный () |
| RewriterConfig.Builder | очиститьАрифметическаяОптимизация () 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 | очиститьавтопараллель () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | очиститьCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | ОчиститьКонстантФолдинг () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | ClearCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | ОчиститьCustomOptimizers () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | очиститьDebugStripper () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | очистка зависимостиоптимизация () Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | ClearDisableMetaOptimizer () Disable the entire meta optimizer (off by default). |
| RewriterConfig.Builder | ClearDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| RewriterConfig.Builder | ClearExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | ClearFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor) |
| RewriterConfig.Builder | очисткафункцииоптимизация () 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 | очисткаLoopOptimization () Loop optimizations (default is ON). |
| RewriterConfig.Builder | очистка памятиОптимизация () 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 | ОчиститьМетаОптимизаторИтерации () 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 | ОчиститьМинГрафНодес () The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| RewriterConfig.Builder | очиститьОптимизаторы () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer). |
| RewriterConfig.Builder | ClearPinToHostOptimization () Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | ClearPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Builder | очиститьRemapping () 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 | ClearShapeОптимизация () Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | клон () |
| 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. |
| AutoParallelOptions.Builder | getAutoParallelBuilder () 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. |
| RewriterConfig.CustomGraphOptimizer.Builder | getCustomOptimizersBuilder (индекс int) list of CustomGraphOptimizers to apply. |
| Список < RewriterConfig.CustomGraphOptimizer.Builder > | getCustomOptimizersBuilderList () 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). |
| RewriterConfig | |
| RewriterConfig.Toggle | получитьоптимизацию зависимостей () Control dependency optimizations (default is ON). |
| интервал | getDependencyOptimizationValue () Control dependency optimizations (default is ON). |
| окончательный статический com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| 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. |
| VerifierConfig.Builder | getInterOptimizerVerifierConfigBuilder () 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 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 (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). |
| 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. |
| VerifierConfig.Builder | getPostOptimizationVerifierConfigBuilder () 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; |
| ScopedAllocatorOptions.Builder | getScopedAllocatorOptsBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| ScopedAllocatorOptionsOrBuilder | getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Toggle | getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes. |
| интервал | getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes. |
| 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; |
| последнее логическое значение | |
| RewriterConfig.Builder | mergeAutoParallel (значение 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 другое) |
| RewriterConfig.Builder | mergeFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| RewriterConfig.Builder | mergeInterOptimizerVerifierConfig (значение VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | mergePostOptimizationVerifierConfig (значение VerifierConfig ) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Builder | mergeScopedAllocatorOpts (значение ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| окончательный RewriterConfig.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
| RewriterConfig.Builder | удалитьCustomOptimizers (индекс int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setArithmeticOptimization (значение RewriterConfig.Toggle ) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | setArithmeticOptimizationValue (целое значение) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | setAutoMixedPrecision (значение RewriterConfig.Toggle ) Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionMkl (значение RewriterConfig.Toggle ) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionMklValue (целое значение) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionValue (целое значение) 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 (значение AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | setCommonSubgraphElimination (значение RewriterConfig.Toggle ) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setCommonSubgraphEliminationValue (целое значение) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setConstantFolding (значение RewriterConfig.Toggle ) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setConstantFoldingValue (целое значение) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setCpuLayoutConversion (значение RewriterConfig.CpuLayout ) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCpuLayoutConversionValue (целое значение) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCustomOptimizers (индекс int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setCustomOptimizers (индекс int, значение RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setDebugStripper (значение RewriterConfig.Toggle ) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDebugStripperValue (целое значение) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDependencyOptimization (значение RewriterConfig.Toggle ) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDependencyOptimizationValue (целое значение) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDisableMetaOptimizer (логическое значение) Disable the entire meta optimizer (off by default). |
| RewriterConfig.Builder | setDisableModelPruning (логическое значение) If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| RewriterConfig.Builder | setExperimentalDisableCompressedTensorOptimization (логическое значение) Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | setFailOnOptimizerErrors (логическое значение) If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта) |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setFunctionOptimizationValue (целое значение) Function optimizations (default is ON). |
| RewriterConfig.Builder | setImplementationSelector (значение RewriterConfig.Toggle ) Enable the swap of kernel implementations based on the device placement (default is ON). |
| RewriterConfig.Builder | setImplementationSelectorValue (целое значение) 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 (значение VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLayoutOptimizerValue (целое значение) Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLoopOptimizationValue (целое значение) Loop optimizations (default is ON). |
| RewriterConfig.Builder | setMemoryOptimization (значение RewriterConfig.MemOptType ) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizationValue (целое значение) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScope (строковое значение) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScopeBytes (значение com.google.protobuf.ByteString) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMetaOptimizerIterations (значение RewriterConfig.NumIterationsType ) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerIterationsValue (целое значение) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerTimeoutMs (длинное значение) Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| RewriterConfig.Builder | setMinGraphNodes (целое значение) The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | setOptimizers (индекс int, строковое значение) 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 (значение RewriterConfig.Toggle ) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPinToHostOptimizationValue (целое значение) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPostOptimizationVerifierConfig (значение 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 (значение RewriterConfig.Toggle ) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRemappingValue (целое значение) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта) |
| RewriterConfig.Builder | setScopedAllocatorOptimization (значение RewriterConfig.Toggle ) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOptimizationValue (целое значение) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOpts (значение ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setShapeOptimization (значение RewriterConfig.Toggle ) Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | setShapeOptimizationValue (целое значение) Shape optimizations (default is ON) Simplify computations made on shapes. |
| окончательный RewriterConfig.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
Унаследованные методы
Публичные методы
public RewriterConfig.Builder addAllCustomOptimizers (Iterable<? расширяет значения RewriterConfig.CustomGraphOptimizer >)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addAllOptimizers (значения Iterable<String>)
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
Of the RewriterConfig options, only the AutoParallel configuration options
(the auto_parallel field) apply to manually requested optimization passes
("autoparallel"). Memory optimization passes ("memory") invoked here are
not configurable (in contrast to memory optimization passes through the
meta-optimizer) and act only on manual op annotations.
Custom optimizers (see custom_optimizers) that are not part of this
schedule will be run after - in the order that they were specified.
repeated string optimizers = 100; public RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (значение RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (индекс int, значение RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (индекс int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addOptimizers (строковое значение)
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
Of the RewriterConfig options, only the AutoParallel configuration options
(the auto_parallel field) apply to manually requested optimization passes
("autoparallel"). Memory optimization passes ("memory") invoked here are
not configurable (in contrast to memory optimization passes through the
meta-optimizer) and act only on manual op annotations.
Custom optimizers (see custom_optimizers) that are not part of this
schedule will be run after - in the order that they were specified.
repeated string optimizers = 100; public RewriterConfig.Builder addOptimizersBytes (значение com.google.protobuf.ByteString)
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
Of the RewriterConfig options, only the AutoParallel configuration options
(the auto_parallel field) apply to manually requested optimization passes
("autoparallel"). Memory optimization passes ("memory") invoked here are
not configurable (in contrast to memory optimization passes through the
meta-optimizer) and act only on manual op annotations.
Custom optimizers (see custom_optimizers) that are not part of this
schedule will be run after - in the order that they were specified.
repeated string optimizers = 100; public RewriterConfig.Builder addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
public RewriterConfig.Builder ClearArithmeticOptimization ()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7; public 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; public 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; public 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; public RewriterConfig.Builder ClearCommonSubgraphElimination ()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24; public RewriterConfig.Builder ClearConstantFolding ()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.tensorflow.RewriterConfig.Toggle constant_folding = 3; public RewriterConfig.Builder ClearCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder ClearCustomOptimizers ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder ClearDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder ClearDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; public RewriterConfig.Builder ClearDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; public RewriterConfig.Builder ClearDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder ClearExperimentalDisableCompressedTensorOptimization ()
Disable optimizations that assume compressed tensors. Note that this flag is experimental and may be removed in the future.
bool experimental_disable_compressed_tensor_optimization = 26; public 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; public RewriterConfig.Builder ClearFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder ClearImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public RewriterConfig.Builder ClearInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public 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; public RewriterConfig.Builder ClearLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.BuilderclearMemoryOptimization ( )
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4; public RewriterConfig.BuilderclearMemoryOptimizerTargetNodeNameScope ( )
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.BuildercleMetaOptimizerIterations ( )
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; public RewriterConfig.Builder ClearMetaOptimizerTimeoutMs ()
Maximum number of milliseconds to spend optimizing a single graph before timing out. If equal to 0 the system picks a default (currently 5 minutes). If less than 0 the optimizer will never time out.
int64 meta_optimizer_timeout_ms = 20; public 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; public 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; public RewriterConfig.Builder ClearPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder ClearPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public RewriterConfig.Builder ClearRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public 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; public RewriterConfig.Builder ClearScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Builder ClearShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 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; общедоступный AutoParallelOptions.Builder getAutoParallelBuilder ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; public RewriterConfig.Toggle getCommonSubgraphElimination ()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24; public int getCommonSubgraphEliminationValue ()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24; public RewriterConfig.Toggle getConstantFolding ()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.tensorflow.RewriterConfig.Toggle constant_folding = 3; 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 RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (индекс int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; общедоступный список < RewriterConfig.CustomGraphOptimizer.Builder > getCustomOptimizersBuilderList ()
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; 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 ()
общедоступный com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
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; общедоступный VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Toggle getLayoutOptimizer ()
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1; 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; 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; общедоступный VerifierConfig.Builder getPostOptimizationVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public RewriterConfig.Toggle getRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public int getRemappingValue ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Toggle getScopedAllocatorOptimization ()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15; 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 ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Toggle getShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; public int getShapeOptimizationValue ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 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;
публичное окончательное логическое значение isInitialized ()
public RewriterConfig.Builder mergeAutoParallel (значение AutoParallelOptions )
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; public RewriterConfig.Builder mergeFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Броски
| Исключение IO |
|---|
public RewriterConfig.Builder mergeInterOptimizerVerifierConfig (значение VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder mergePostOptimizationVerifierConfig (значение VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public RewriterConfig.Builder mergeScopedAllocatorOpts (значение ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
публичный финальный RewriterConfig.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
public RewriterConfig.Builder removeCustomOptimizers (индекс int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setArithmeticOptimization (значение 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; public RewriterConfig.Builder setArithmeticOptimizationValue (целое значение)
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.Builder setAutoMixedPrecision (значение 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; public RewriterConfig.Builder setAutoMixedPrecisionMkl (значение 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; public RewriterConfig.Builder setAutoMixedPrecisionMklValue (целое значение)
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 RewriterConfig.Builder setAutoMixedPrecisionValue (целое значение)
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.Builder setAutoParallel ( AutoParallelOptions.Builder builderForValue)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5;public RewriterConfig.Builder setAutoParallel (значение AutoParallelOptions )
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; public RewriterConfig.Builder setCommonSubgraphElimination (значение 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; public RewriterConfig.Builder setCommonSubgraphEliminationValue (целое значение)
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24; public RewriterConfig.Builder setConstantFolding (значение 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; public RewriterConfig.Builder setConstantFoldingValue (целое значение)
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.Builder setCpuLayoutConversion (значение RewriterConfig.CpuLayout )
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder setCpuLayoutConversionValue (целое значение)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder setCustomOptimizers (индекс int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setCustomOptimizers (индекс int, значение RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setDebugStripper (значение RewriterConfig.Toggle )
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder setDebugStripperValue (целое значение)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder setDependencyOptimization (значение RewriterConfig.Toggle )
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; public RewriterConfig.Builder setDependencyOptimizationValue (целое значение)
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; public RewriterConfig.Builder setDisableMetaOptimizer (логическое значение)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; public RewriterConfig.Builder setDisableModelPruning (логическое значение)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (логическое значение)
Disable optimizations that assume compressed tensors. Note that this flag is experimental and may be removed in the future.
bool experimental_disable_compressed_tensor_optimization = 26; public RewriterConfig.Builder setFailOnOptimizerErrors (логическое значение)
If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. By default - or when set to false, failing passes are skipped silently.
bool fail_on_optimizer_errors = 21; public RewriterConfig.Builder setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
public RewriterConfig.Builder setFunctionOptimization (значение RewriterConfig.Toggle )
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setFunctionOptimizationValue (целое значение)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setImplementationSelector (значение RewriterConfig.Toggle )
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public RewriterConfig.Builder setImplementationSelectorValue (целое значение)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder setInterOptimizerVerifierConfig (значение VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder setLayoutOptimizer (значение 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; public RewriterConfig.Builder setLayoutOptimizerValue (целое значение)
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.Builder setLoopOptimization (значение RewriterConfig.Toggle )
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.Builder setLoopOptimizationValue (целое значение)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.Builder setMemoryOptimization (значение 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; public RewriterConfig.Builder setMemoryOptimizationValue (целое значение)
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4; public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope (строковое значение)
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.Builder setMemoryOptimizerTargetNodeNameScopeBytes (значение 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; public RewriterConfig.Builder setMetaOptimizerIterations (значение RewriterConfig.NumIterationsType )
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; public RewriterConfig.Builder setMetaOptimizerIterationsValue (целое значение)
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; public RewriterConfig.Builder setMetaOptimizerTimeoutMs (длинное значение)
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 RewriterConfig.Builder setMinGraphNodes (целое значение)
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; public RewriterConfig.Builder setOptimizers (индекс int, строковое значение)
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
Of the RewriterConfig options, only the AutoParallel configuration options
(the auto_parallel field) apply to manually requested optimization passes
("autoparallel"). Memory optimization passes ("memory") invoked here are
not configurable (in contrast to memory optimization passes through the
meta-optimizer) and act only on manual op annotations.
Custom optimizers (see custom_optimizers) that are not part of this
schedule will be run after - in the order that they were specified.
repeated string optimizers = 100; public RewriterConfig.Builder setPinToHostOptimization (значение RewriterConfig.Toggle )
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder setPinToHostOptimizationValue (целое значение)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder setPostOptimizationVerifierConfig (значение VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public RewriterConfig.Builder setPostOptimizationVerifierConfig ( VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; public RewriterConfig.Builder setRemapping (значение RewriterConfig.Toggle )
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRemappingValue (целое значение)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)
public RewriterConfig.Builder setScopedAllocatorOptimization (значение 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; public RewriterConfig.Builder setScopedAllocatorOptimizationValue (целое значение)
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 RewriterConfig.Builder setScopedAllocatorOpts (значение ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Builder setShapeOptimization (значение RewriterConfig.Toggle )
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; public RewriterConfig.Builder setShapeOptimizationValue (целое значение)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;