공개 정적 최종 클래스 RewriterConfig.Builder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.Protobuf 유형
tensorflow.RewriterConfig 공개 방법
| RewriterConfig.Builder | addAllCustomOptimizers (Iterable<? 확장 RewriterConfig.CustomGraphOptimizer > 값) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addAllOptimizers (Iterable<String> 값) 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 (int 인덱스, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer 값) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer 값) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder (int 인덱스) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addOptimizers (문자열 값) 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 (com.google.protobuf.ByteString 값) 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 (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값) |
| RewriterConfig | 짓다 () |
| RewriterConfig | 빌드부분 () |
| RewriterConfig.Builder | 분명한 () |
| RewriterConfig.Builder | 클리어산술최적화 () 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 | 클리어자동병렬 () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | clearCommonSubgraph제거 () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | 클리어상수폴딩 () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | 클리어CpuLayoutConversion () CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | 클리어커스텀옵티마이저 () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | 클리어디버그스트리퍼 () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | 클리어DependencyOptimization () 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 (com.google.protobuf.Descriptors.FieldDescriptor 필드) |
| RewriterConfig.Builder | 클리어함수최적화 () Function optimizations (default is ON). |
| RewriterConfig.Builder | 클리어구현선택기 () 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 | 클리어레이아웃옵티마이저 () Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Builder | 클리어루프최적화 () Loop optimizations (default is ON). |
| RewriterConfig.Builder | 클리어메모리최적화 () Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | ClearMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | ClearMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | ClearMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| RewriterConfig.Builder | 클리어MinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| RewriterConfig.Builder | 클리어옵티마이저 () 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 | 클리어리매핑 () 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 | 클리어쉐이프최적화 () Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | 클론 () |
| RewriterConfig.Toggle | getArithmeticOptimization () Arithmetic optimizations (default is ON) e.g. |
| 정수 | getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Toggle | getAutoMixedPrecision () Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Toggle | getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF). |
| 정수 | getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF). |
| 정수 | getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF). |
| 자동 병렬 옵션 | getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| AutoParallelOptions.Builder | getAutoParallelBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| AutoParallelOptionsOrBuilder | getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Toggle | getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g. |
| 정수 | 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. |
| 정수 | 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. |
| 정수 | getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.CustomGraphOptimizer | getCustomOptimizers (정수 인덱스) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | getCustomOptimizersBuilder (정수 인덱스) list of CustomGraphOptimizers to apply. |
| 목록< RewriterConfig.CustomGraphOptimizer.Builder > | getCustomOptimizersBuilderList () list of CustomGraphOptimizers to apply. |
| 정수 | getCustomOptimizersCount () list of CustomGraphOptimizers to apply. |
| 목록< RewriterConfig.CustomGraphOptimizer > | getCustomOptimizersList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizerOrBuilder | getCustomOptimizersOrBuilder (정수 인덱스) list of CustomGraphOptimizers to apply. |
| 목록<? RewriterConfig.CustomGraphOptimizerOrBuilder 확장 > | getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Toggle | getDebugStripper () Strips debug-related nodes from the graph (off by default). |
| 정수 | getDebugStripperValue () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig | |
| RewriterConfig.Toggle | getDependencyOptimization () Control dependency optimizations (default is ON). |
| 정수 | getDependencyOptimizationValue () Control dependency optimizations (default is ON). |
| 최종 정적 com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| 부울 | getDisableMetaOptimizer () Disable the entire meta optimizer (off by default). |
| 부울 | getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| 부울 | getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors. |
| 부울 | getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Toggle | getFunctionOptimization () Function optimizations (default is ON). |
| 정수 | getFunctionOptimizationValue () Function optimizations (default is ON). |
| RewriterConfig.Toggle | getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON). |
| 정수 | getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON). |
| 검증자 구성 | getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| VerifierConfig.Builder | getInterOptimizerVerifierConfigBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| 검증자ConfigOrBuilder | getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Toggle | getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g. |
| 정수 | getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Toggle | getLoopOptimization () Loop optimizations (default is ON). |
| 정수 | getLoopOptimizationValue () Loop optimizations (default is ON). |
| RewriterConfig.MemOptType | getMemoryOptimization () Configures memory optimization passes through the meta-optimizer. |
| 정수 | getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer. |
| 끈 | 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). |
| 정수 | getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once). |
| 긴 | getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| 정수 | getMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| 끈 | getOptimizers (정수 인덱스) 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 (정수 인덱스) 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). |
| 정수 | getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer). |
| com.google.protobuf.ProtocolStringList | getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer). |
| RewriterConfig.Toggle | getPinToHostOptimization () Force small ops onto the CPU (default is OFF). |
| 정수 | getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF). |
| 검증자 구성 | 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. |
| 검증자ConfigOrBuilder | 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. |
| 정수 | 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). |
| 정수 | getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| 범위가 지정된 할당자 옵션 | getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| ScopedAllocatorOptions.Builder | getScopedAllocatorOptsBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| 범위가 지정된 할당자OptionsOrBuilder | getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Toggle | getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes. |
| 정수 | getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes. |
| 부울 | hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| 부울 | hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| 부울 | hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| 부울 | hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| 최종 부울 | 초기화됨 () |
| RewriterConfig.Builder | mergeAutoParallel ( AutoParallelOptions 값) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | mergeFrom (com.google.protobuf.다른 메시지 보내기) |
| RewriterConfig.Builder | mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| RewriterConfig.Builder | mergeInterOptimizerVerifierConfig ( VerifierConfig 값) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | mergePostOptimizationVerifierConfig ( VerifierConfig 값) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Builder | mergeScopedAllocatorOpts ( ScopedAllocatorOptions 값) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| 최종 RewriterConfig.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields) |
| RewriterConfig.Builder | RemoveCustomOptimizers (int 인덱스) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setArithmeticOptimizationValue (정수 값) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setAutoMixedPrecisionMklValue (정수 값) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionValue (정수 값) 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 ( AutoParallelOptions 값) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | setCommonSubgraphElimination ( RewriterConfig.Toggle 값) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setCommonSubgraphEliminationValue (정수 값) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setConstantFolding ( RewriterConfig.Toggle 값) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setConstantFoldingValue (정수 값) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setCpuLayoutConversionValue (정수 값) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer 값) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setDebugStripper ( RewriterConfig.Toggle 값) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDebugStripperValue (정수 값) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDependencyOptimization ( RewriterConfig.Toggle 값) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDependencyOptimizationValue (정수 값) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDisableMetaOptimizer (부울 값) Disable the entire meta optimizer (off by default). |
| RewriterConfig.Builder | setDisableModelPruning (부울 값) If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| RewriterConfig.Builder | setExperimentalDisableCompressedTensorOptimization (부울 값) Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | setFailOnOptimizerErrors (부울 값) If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값) |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setFunctionOptimizationValue (정수 값) Function optimizations (default is ON). |
| RewriterConfig.Builder | setImplementationSelector ( RewriterConfig.Toggle 값) Enable the swap of kernel implementations based on the device placement (default is ON). |
| RewriterConfig.Builder | setImplementationSelectorValue (정수 값) 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 ( VerifierConfig 값) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLayoutOptimizerValue (정수 값) Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLoopOptimizationValue (정수 값) Loop optimizations (default is ON). |
| RewriterConfig.Builder | setMemoryOptimization ( RewriterConfig.MemOptType 값) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizationValue (정수 값) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScope (문자열 값) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScopeBytes (com.google.protobuf.ByteString 값) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMetaOptimizerIterations ( RewriterConfig.NumIterationsType 값) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerIterationsValue (정수 값) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerTimeoutMs (긴 값) Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| RewriterConfig.Builder | setMinGraphNodes (정수 값) The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | setOptimizers (int 인덱스, 문자열 값) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer). |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setPinToHostOptimizationValue (정수 값) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPostOptimizationVerifierConfig ( VerifierConfig 값) 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 ( RewriterConfig.Toggle 값) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRemappingValue (정수 값) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값) |
| RewriterConfig.Builder | setScopedAllocatorOptimization ( RewriterConfig.Toggle 값) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOptimizationValue (정수 값) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions 값) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setShapeOptimization ( RewriterConfig.Toggle 값) Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | setShapeOptimizationValue (정수 값) Shape optimizations (default is ON) Simplify computations made on shapes. |
| 최종 RewriterConfig.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields) |
상속된 메서드
공개 방법
공개 RewriterConfig.Builder addAllCustomOptimizers (Iterable<? 확장 RewriterConfig.CustomGraphOptimizer > 값)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder addAllOptimizers (Iterable<String> 값)
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; 공개 RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder addCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer 값)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder addCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer 값)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (int 인덱스)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder addOptimizers (문자열 값)
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; 공개 RewriterConfig.Builder addOptimizersBytes (com.google.protobuf.ByteString 값)
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; 공개 RewriterConfig.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
공개 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; 공개 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; 공개 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; 공개 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; 공개 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; 공개 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; 공개 RewriterConfig.Builder ClearCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; 공개 RewriterConfig.Builder ClearCustomOptimizers ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder ClearDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; 공개 RewriterConfig.Builder ClearDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; 공개 RewriterConfig.Builder ClearDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; 공개 RewriterConfig.Builder ClearDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; 공개 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; 공개 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; 공개 RewriterConfig.Builder ClearFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; 공개 RewriterConfig.Builder ClearImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; 공개 RewriterConfig.Builder ClearInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 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; 공개 RewriterConfig.Builder ClearLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; 공개 RewriterConfig.Builder ClearMemoryOptimization ()
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4; 공개 RewriterConfig.Builder ClearMemoryOptimizerTargetNodeNameScope ()
A node name scope for node names which are valid outputs of recomputations. Inputs to nodes that match this scope may be recomputed (subject either to manual annotation of those input nodes or to manual annotation and heuristics depending on memory_optimization), but the nodes themselves will not be recomputed. This matches any sub-scopes as well, meaning the scope can appear not just as a top-level scope. For example, if the value is "gradients/", the default, it will match node name "gradients/foo", "foo/gradients/bar", but not "foo_gradients/"
string memory_optimizer_target_node_name_scope = 6; 공개 RewriterConfig.Builder ClearMetaOptimizerIterations ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; 공개 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; 공개 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; 공개 RewriterConfig.Builder 클리어옵티마이저 ()
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; 공개 RewriterConfig.Builder ClearPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; 공개 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; 공개 RewriterConfig.Builder 클리어리매핑 ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; 공개 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; 공개 RewriterConfig.Builder ClearScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 RewriterConfig.Builder ClearShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 공개 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; 공개 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; 공개 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; 공개 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; 공개 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; 공개 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; 공개 AutoParallelOptions getAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; 공개 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; 공개 AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; 공개 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; 공개 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; 공개 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; 공개 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; 공개 RewriterConfig.CpuLayout getCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; 공개 int getCpuLayoutConversionValue ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; 공개 RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int 인덱스)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (int 인덱스)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 목록< RewriterConfig.CustomGraphOptimizer.Builder > getCustomOptimizersBuilderList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 int getCustomOptimizersCount ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 목록< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int 인덱스)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 목록<? RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList () 를 확장합니다.
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Toggle getDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; 공개 int getDebugStripperValue ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; 공개 RewriterConfig.Toggle getDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; 공개 int getDependencyOptimizationValue ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; 공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()
공개 com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
공개 부울 getDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; 공개 부울 getDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; 공개 부울 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; 공개 부울 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; 공개 RewriterConfig.Toggle getFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; 공개 int getFunctionOptimizationValue ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; 공개 RewriterConfig.Toggle getImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; 공개 int getImplementationSelectorValue ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; 공개 VerifierConfig getInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 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; 공개 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; 공개 RewriterConfig.Toggle getLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; 공개 int getLoopOptimizationValue ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; 공개 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; 공개 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; 공개 문자열 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; 공개 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; 공개 RewriterConfig.NumIterationsType getMetaOptimizerIterations ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; 공개 int getMetaOptimizerIterationsValue ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; 공개 긴 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; 공개 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; 공개 문자열 getOptimizers (int 인덱스)
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; 공개 com.google.protobuf.ByteString getOptimizersBytes (int 인덱스)
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; 공개 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; 공개 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; 공개 RewriterConfig.Toggle getPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; 공개 int getPinToHostOptimizationValue ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; 공개 VerifierConfig getPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; 공개 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; 공개 VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; 공개 RewriterConfig.Toggle getRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; 공개 int getRemappingValue ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; 공개 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; 공개 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; 공개 ScopedAllocatorOptions getScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 RewriterConfig.Toggle getShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 공개 int getShapeOptimizationValue ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 공개 부울 hasAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; 공개 부울 hasInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 부울 hasPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; 공개 부울 hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 최종 부울 isInitialized ()
공개 RewriterConfig.Builder mergeAutoParallel ( AutoParallelOptions 값)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; 공개 RewriterConfig.Builder mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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공개 RewriterConfig.Builder mergeInterOptimizerVerifierConfig ( VerifierConfig 값)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 RewriterConfig.Builder mergePostOptimizationVerifierConfig ( VerifierConfig 값)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; 공개 RewriterConfig.Builder mergeScopedAllocatorOpts ( ScopedAllocatorOptions 값)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 RewriterConfig.Builder 제거CustomOptimizers (int 인덱스)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder setArithmeticOptimization ( RewriterConfig.Toggle 값)
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7; 공개 RewriterConfig.Builder setArithmeticOptimizationValue (int 값)
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7; 공개 RewriterConfig.Builder setAutoMixedPrecision ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setAutoMixedPrecisionMkl ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setAutoMixedPrecisionMklValue (int 값)
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; 공개 RewriterConfig.Builder setAutoMixedPrecisionValue (int 값)
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; 공개 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;공개 RewriterConfig.Builder setAutoParallel ( AutoParallelOptions 값)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; 공개 RewriterConfig.Builder setCommonSubgraphElimination ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setCommonSubgraphEliminationValue (int 값)
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; 공개 RewriterConfig.Builder setConstantFolding ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setConstantFoldingValue (int 값)
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; 공개 RewriterConfig.Builder setCpuLayoutConversion ( RewriterConfig.CpuLayout 값)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; 공개 RewriterConfig.Builder setCpuLayoutConversionValue (int 값)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; 공개 RewriterConfig.Builder setCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder setCustomOptimizers (int 인덱스, RewriterConfig.CustomGraphOptimizer 값)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; 공개 RewriterConfig.Builder setDebugStripper ( RewriterConfig.Toggle 값)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; 공개 RewriterConfig.Builder setDebugStripperValue (int 값)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; 공개 RewriterConfig.Builder setDependencyOptimization ( RewriterConfig.Toggle 값)
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; 공개 RewriterConfig.Builder setDependencyOptimizationValue (int 값)
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; 공개 RewriterConfig.Builder setDisableMetaOptimizer (부울 값)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; 공개 RewriterConfig.Builder setDisableModelPruning (부울 값)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; 공개 RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (부울 값)
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; 공개 RewriterConfig.Builder setFailOnOptimizerErrors (부울 값)
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; 공개 RewriterConfig.Builder setFunctionOptimization ( RewriterConfig.Toggle 값)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; 공개 RewriterConfig.Builder setFunctionOptimizationValue (int 값)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; 공개 RewriterConfig.Builder setImplementationSelector ( RewriterConfig.Toggle 값)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; 공개 RewriterConfig.Builder setImplementationSelectorValue (int 값)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; 공개 RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig 값)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; 공개 RewriterConfig.Builder setLayoutOptimizer ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setLayoutOptimizerValue (정수 값)
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; 공개 RewriterConfig.Builder setLoopOptimization ( RewriterConfig.Toggle 값)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; 공개 RewriterConfig.Builder setLoopOptimizationValue (int 값)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; 공개 RewriterConfig.Builder setMemoryOptimization ( RewriterConfig.MemOptType 값)
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; 공개 RewriterConfig.Builder setMemoryOptimizationValue (int 값)
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; 공개 RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope (문자열 값)
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; 공개 RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes (com.google.protobuf.ByteString 값)
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; 공개 RewriterConfig.Builder setMetaOptimizerIterations ( RewriterConfig.NumIterationsType 값)
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; 공개 RewriterConfig.Builder setMetaOptimizerIterationsValue (int 값)
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; 공개 RewriterConfig.Builder setMetaOptimizerTimeoutMs (긴 값)
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; 공개 RewriterConfig.Builder setMinGraphNodes (int 값)
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; 공개 RewriterConfig.Builder setOptimizers (int 인덱스, 문자열 값)
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; 공개 RewriterConfig.Builder setPinToHostOptimization ( RewriterConfig.Toggle 값)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; 공개 RewriterConfig.Builder setPinToHostOptimizationValue (int 값)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; 공개 RewriterConfig.Builder setPostOptimizationVerifierConfig ( VerifierConfig 값)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; 공개 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; 공개 RewriterConfig.Builder setRemapping ( RewriterConfig.Toggle 값)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; 공개 RewriterConfig.Builder setRemappingValue (int 값)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; 공개 RewriterConfig.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)
공개 RewriterConfig.Builder setScopedAllocatorOptimization ( RewriterConfig.Toggle 값)
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; 공개 RewriterConfig.Builder setScopedAllocatorOptimizationValue (int 값)
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; 공개 RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions 값)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
공개 RewriterConfig.Builder setShapeOptimization ( RewriterConfig.Toggle 값)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; 공개 RewriterConfig.Builder setShapeOptimizationValue (int 값)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;