publiczna statyczna klasa końcowa RewriterConfig.Builder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
tensorflow.RewriterConfig Metody publiczne
| RewriterConfig.Builder | addAllCustomOptimizers (Iterable<? rozszerza wartości RewriterConfig.CustomGraphOptimizer >) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addAllOptimizers (wartości 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 (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (wartość RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (indeks int, wartość RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder (indeks int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addOptimizers (wartość ciągu) 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 (wartość 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu) |
| Konfiguracja przepisywania | zbudować () |
| Konfiguracja przepisywania | |
| RewriterConfig.Builder | jasne () |
| RewriterConfig.Builder | wyczyśćArithmeticOptymalizacja () 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 | wyczyśćAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | wyczyśćWspólnySubgrafEliminacja () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | clearConstantSkładane () 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 | wyczyśćNiestandardowe optymalizatory () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | clearDebugStripper () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | clearDependencyOptymalizacja () 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 | clearExperimentalDisableCompressedTensorOptymalizacja () 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 (pole com.google.protobuf.Descriptors.FieldDescriptor) |
| RewriterConfig.Builder | clearFunctionOptymalizacja () 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 | clearLoopOptymalizacja () Loop optimizations (default is ON). |
| RewriterConfig.Builder | clearMemoryOptymalizacja () 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 | clearMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| RewriterConfig.Builder | wyczyśćOptymalizatory () 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 | clearPinToHostOptymalizacja () 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 | wyczyśćRemapowanie () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | clearScopedAllocatorOptymalizacja () 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 | clearShapeOptymalizacja () Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | klon () |
| RewriterConfig.Przełącz | getArithmeticOptymalizacja () Arithmetic optimizations (default is ON) e.g. |
| wew | getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Przełącz | getAutoMixedPrecision () Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Przełącz | getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF). |
| wew | getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF). |
| wew | getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF). |
| Opcje AutoParallel | 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. |
| Opcje AutoParallelOrBuilder | getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Przełącz | getCommonSubgraphEliminacja () Common subgraph elimination (default is ON) e.g. |
| wew | getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Przełącz | getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| wew | 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. |
| wew | getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.CustomGraphOptimizer | getCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | getCustomOptimizersBuilder (indeks int) list of CustomGraphOptimizers to apply. |
| Lista< RewriterConfig.CustomGraphOptimizer.Builder > | getCustomOptimizersBuilderList () list of CustomGraphOptimizers to apply. |
| wew | getCustomOptimizersCount () list of CustomGraphOptimizers to apply. |
| Lista< RewriterConfig.CustomGraphOptimizer > | getCustomOptimizersList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizerOrBuilder | getCustomOptimizersOrBuilder (indeks int) list of CustomGraphOptimizers to apply. |
| Lista<? rozszerza RewriterConfig.CustomGraphOptimizerOrBuilder > | getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Przełącz | getDebugStripper () Strips debug-related nodes from the graph (off by default). |
| wew | getDebugStripperValue () Strips debug-related nodes from the graph (off by default). |
| Konfiguracja przepisywania | |
| RewriterConfig.Przełącz | getDependencyOptimization () Control dependency optimizations (default is ON). |
| wew | getDependencyOptimizationValue () Control dependency optimizations (default is ON). |
| końcowy statyczny com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| wartość logiczna | getDisableMetaOptimizer () Disable the entire meta optimizer (off by default). |
| wartość logiczna | getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| wartość logiczna | getExperimentalDisableCompressedTensorOptymalizacja () Disable optimizations that assume compressed tensors. |
| wartość logiczna | getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Przełącz | getFunctionOptymalizacja () Function optimizations (default is ON). |
| wew | getFunctionOptimizationValue () Function optimizations (default is ON). |
| RewriterConfig.Przełącz | getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON). |
| wew | getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON). |
| Konfiguracja weryfikatora | getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| VerifierConfig.Builder | getInterOptimizerVerifierConfigBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| VerifierConfigOrBuilder | getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Przełącz | getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g. |
| wew | getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Przełącz | getLoopOptymalizacja () Loop optimizations (default is ON). |
| wew | getLoopOptimizationValue () Loop optimizations (default is ON). |
| RewriterConfig.MemOptType | getMemoryOptymalizacja () Configures memory optimization passes through the meta-optimizer. |
| wew | getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer. |
| Smyczkowy | 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). |
| wew | getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once). |
| długi | getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| wew | getMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| Smyczkowy | getOptimizers (indeks 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 (indeks 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). |
| wew | 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.Przełącz | getPinToHostOptymalizacja () Force small ops onto the CPU (default is OFF). |
| wew | getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF). |
| Konfiguracja weryfikatora | 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. |
| VerifierConfigOrBuilder | getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Przełącz | getRemapowanie () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| wew | getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Przełącz | getScopedAllocatorOptymalizacja () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| wew | getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| Opcje alokatora o określonym zakresie | 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.Przełącz | getShapeOptymalizacja () Shape optimizations (default is ON) Simplify computations made on shapes. |
| wew | getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes. |
| wartość logiczna | maAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| wartość logiczna | maInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| wartość logiczna | hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| wartość logiczna | maScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| końcowa wartość logiczna | |
| RewriterConfig.Builder | mergeAutoParallel (wartość AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | mergeFrom (com.google.protobuf.Wiadomość inna) |
| RewriterConfig.Builder | mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| RewriterConfig.Builder | mergeInterOptimizerVerifierConfig (wartość VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | mergePostOptimizationVerifierConfig (wartość VerifierConfig ) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Builder | mergeScopedAllocatorOpts (wartość ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| końcowy RewriterConfig.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola) |
| RewriterConfig.Builder | usuńCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setArithmeticOptimization (wartość RewriterConfig.Toggle ) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | setArithmeticOptimizationValue (wartość int) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | setAutoMixedPrecision (wartość RewriterConfig.Toggle ) Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionMkl (wartość RewriterConfig.Toggle ) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionMklValue (wartość int) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionValue (wartość int) Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Builder | setAutoParallel ( AutoParallelOptions.Builder builderForValue) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | setAutoParallel (wartość AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | setCommonSubgraphElimination (Wartość RewriterConfig.Toggle ) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setCommonSubgraphEliminationValue (wartość int) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setConstantFolding (wartość RewriterConfig.Toggle ) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setConstantFoldingValue (wartość int) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setCpuLayoutConversion (wartość RewriterConfig.CpuLayout ) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCpuLayoutConversionValue (wartość int) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCustomOptimizers (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setCustomOptimizers (indeks int, wartość RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setDebugStripper (Wartość RewriterConfig.Toggle ) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDebugStripperValue (wartość int) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDependencyOptimization (wartość RewriterConfig.Toggle ) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDependencyOptimizationValue (wartość int) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDisableMetaOptimizer (wartość logiczna) Disable the entire meta optimizer (off by default). |
| RewriterConfig.Builder | setDisableModelPruning (wartość logiczna) If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| RewriterConfig.Builder | setExperimentalDisableCompressedTensorOptimization (wartość logiczna) Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | setFailOnOptimizerErrors (wartość logiczna) If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu) |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setFunctionOptimizationValue (wartość int) Function optimizations (default is ON). |
| RewriterConfig.Builder | setImplementationSelector (Wartość RewriterConfig.Toggle ) Enable the swap of kernel implementations based on the device placement (default is ON). |
| RewriterConfig.Builder | setImplementationSelectorValue (wartość int) Enable the swap of kernel implementations based on the device placement (default is ON). |
| RewriterConfig.Builder | setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | setInterOptimizerVerifierConfig (wartość VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLayoutOptimizerValue (wartość int) Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLoopOptimizationValue (wartość int) Loop optimizations (default is ON). |
| RewriterConfig.Builder | setMemoryOptimization (wartość RewriterConfig.MemOptType ) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizationValue (wartość int) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScope (wartość ciągu) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScopeBytes (wartość com.google.protobuf.ByteString) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMetaOptimizerIterations (wartość RewriterConfig.NumIterationsType ) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerIterationsValue (wartość int) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerTimeoutMs (długa wartość) Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| RewriterConfig.Builder | setMinGraphNodes (wartość int) The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | setOptimizers (indeks int, wartość ciągu) 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 (Wartość RewriterConfig.Toggle ) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPinToHostOptimizationValue (wartość int) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPostOptimizationVerifierConfig (wartość 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 (wartość RewriterConfig.Toggle ) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRemappingValue (wartość int) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu) |
| RewriterConfig.Builder | setScopedAllocatorOptimization (wartość RewriterConfig.Toggle ) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOptimizationValue (wartość int) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOpts (wartość ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setShapeOptimization (Wartość RewriterConfig.Toggle ) Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | setShapeOptimizationValue (wartość int) Shape optimizations (default is ON) Simplify computations made on shapes. |
| końcowy RewriterConfig.Builder | setUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola) |
Metody dziedziczone
Metody publiczne
public RewriterConfig.Builder addAllCustomOptimizers (Iterable<? rozszerza wartości RewriterConfig.CustomGraphOptimizer >)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addAllOptimizers (wartości 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 (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (wartość RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (indeks int, wartość RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (indeks 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 (wartość ciągu)
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 (wartość 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
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 clearExperimentalDisableCompressedTensorOptymalizacja ()
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.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; public 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; public RewriterConfig.Builder clearMetaOptimizerIterations ()
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; public AutoParallelOptions getAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; public 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 (indeks int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (indeks int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public List< 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; public List< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (indeks int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; lista publiczna<? rozszerza 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; public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
publiczna wartość logiczna getDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; publiczna wartość logiczna getDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; publiczna wartość logiczna 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; publiczna wartość logiczna getFailOnOptimizerErrors ()
If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. By default - or when set to false, failing passes are skipped silently.
bool fail_on_optimizer_errors = 21; public RewriterConfig.Toggle getFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public int getFunctionOptimizationValue ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Toggle getImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public int getImplementationSelectorValue ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public VerifierConfig getInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public 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; public String 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; publiczny długi 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; publiczny 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; public String getOptimizers (indeks 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 (indeks 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; public 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; public 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; publiczna wartość logiczna maAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; publiczna wartość logiczna maInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; publiczna wartość logiczna hasPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; publiczna wartość logiczna hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publiczna końcowa wartość logiczna isInitialized ()
public RewriterConfig.Builder mergeAutoParallel (wartość 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 (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
Rzuca
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public RewriterConfig.Builder mergeInterOptimizerVerifierConfig (wartość VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder mergePostOptimizationVerifierConfig (wartość 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 (wartość ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publiczna wersja końcowa RewriterConfig.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
public RewriterConfig.Builder usuńCustomOptimizers (indeks int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setArithmeticOptimization (wartość 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 (wartość int)
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 (wartość 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 (wartość 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 (wartość int)
Optimize data types for MKL (default is OFF). This will try to use bfloat16 on CPUs, which is faster. Note that this can change the numerical stability of the graph.
.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25; public RewriterConfig.Builder setAutoMixedPrecisionValue (wartość int)
Optimize data types for CUDA (default is OFF). This will try to use float16 on GPU which is faster. Note that this can change the numerical stability of the graph and may require the use of loss scaling to maintain model convergence.
.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23; 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 (wartość 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 (wartość 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 (wartość int)
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24; public RewriterConfig.Builder setConstantFolding (wartość 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 (wartość int)
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.tensorflow.RewriterConfig.Toggle constant_folding = 3; public RewriterConfig.Builder setCpuLayoutConversion (wartość RewriterConfig.CpuLayout )
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder setCpuLayoutConversionValue (wartość int)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder setCustomOptimizers (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setCustomOptimizers (indeks int, wartość RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setDebugStripper (wartość RewriterConfig.Toggle )
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder setDebugStripperValue (wartość int)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder setDependencyOptimization (wartość 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 (wartość int)
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 (wartość logiczna)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; public RewriterConfig.Builder setDisableModelPruning (wartość logiczna)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (wartość logiczna)
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 (wartość logiczna)
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 (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
public RewriterConfig.Builder setFunctionOptimization (wartość RewriterConfig.Toggle )
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setFunctionOptimizationValue (wartość int)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setImplementationSelector (wartość 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 (wartość int)
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 (wartość VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder setLayoutOptimizer (wartość 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 (wartość int)
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1; public RewriterConfig.Builder setLoopOptimization (wartość RewriterConfig.Toggle )
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.Builder setLoopOptimizationValue (wartość int)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.Builder setMemoryOptimization (wartość 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 (wartość int)
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4; public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope (wartość ciągu)
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 (wartość 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 (wartość 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 (wartość int)
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 (długa wartość)
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 (wartość int)
The minimum number of nodes in a graph to optimizer. For smaller graphs, optimization is skipped. 0 means the system picks an appropriate number. < 0 means do not skip optimization.
int32 min_graph_nodes = 17; public RewriterConfig.Builder setOptimizers (indeks int, wartość ciągu)
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 (wartość RewriterConfig.Toggle )
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder setPinToHostOptimizationValue (wartość int)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder setPostOptimizationVerifierConfig (wartość 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 (wartość RewriterConfig.Toggle )
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRemappingValue (wartość int)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)
public RewriterConfig.Builder setScopedAllocatorOptimization (wartość 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 (wartość int)
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15; public RewriterConfig.Builder setScopedAllocatorOpts (wartość ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public RewriterConfig.Builder setShapeOptimization (wartość RewriterConfig.Toggle )
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; public RewriterConfig.Builder setShapeOptimizationValue (wartość int)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;