کلاس نهایی استاتیک عمومی RewriterConfig.Builder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
tensorflow.RewriterConfig روش های عمومی
| RewriterConfig.Builder | addAllCustomOptimizers (Iterable<? RewriterConfig.CustomGraphOptimizer > مقادیر را گسترش می دهد) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addAllOptimizers (مقادیر<String> تکرارپذیر) 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 index، RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (مقدار RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addCustomOptimizers (شاخص int، مقدار RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder (شاخص int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | addOptimizers (مقدار رشته) 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 مقدار) 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 فیلد، مقدار Object) |
| RewriterConfig | ساختن () |
| RewriterConfig | ساخت جزئی () |
| RewriterConfig.Builder | روشن () |
| RewriterConfig.Builder | شفاف سازی حسابی () 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 | clearAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | clearCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | clearConstantFolding () 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 | clearCustomOptimizers () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | clearDebugStripper () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | clearDependencyOptimization () 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 | clearExperimentalDisableCompressedTensor Optimization () Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | خطاهای clearFailOnOptimizer () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor) |
| RewriterConfig.Builder | clearFunctionOptimization () 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 | clearLoopOptimization () Loop optimizations (default is ON). |
| RewriterConfig.Builder | clearMemoryOptimization () 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 | 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). |
| 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 | clearRemapping () 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 | clearShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | کلون () |
| RewriterConfig.Toggle | getArithmetic Optimization () Arithmetic optimizations (default is ON) e.g. |
| بین المللی | 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). |
| بین المللی | getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF). |
| بین المللی | getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF). |
| AutoParallelOptions | 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. |
| بین المللی | 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. |
| بین المللی | 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. |
| بین المللی | getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.CustomGraphOptimizer | getCustomOptimizers (شاخص int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | getCustomOptimizersBuilder (شاخص int) list of CustomGraphOptimizers to apply. |
| List< RewriterConfig.CustomGraphOptimizer.Builder > | getCustomOptimizersBuilderList () list of CustomGraphOptimizers to apply. |
| بین المللی | getCustomOptimizersCount () list of CustomGraphOptimizers to apply. |
| List< RewriterConfig.CustomGraphOptimizer > | getCustomOptimizersList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizerOrBuilder | getCustomOptimizersOrBuilder (شاخص int) list of CustomGraphOptimizers to apply. |
| لیست<? RewriterConfig.CustomGraphOptimizerOrBuilder > را گسترش می دهد | getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Toggle | getDebugStripper () Strips debug-related nodes from the graph (off by default). |
| بین المللی | getDebugStripperValue () Strips debug-related nodes from the graph (off by default). |
| RewriterConfig | |
| RewriterConfig.Toggle | getDependencyOptimization () Control dependency optimizations (default is ON). |
| بین المللی | getDependencyOptimizationValue () Control dependency optimizations (default is ON). |
| نهایی static com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| بولی | getDisableMetaOptimizer () Disable the entire meta optimizer (off by default). |
| بولی | getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| بولی | getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors. |
| بولی | خطاهای getFailOnOptimizer () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Toggle | getFunctionOptimization () Function optimizations (default is ON). |
| بین المللی | getFunctionOptimizationValue () Function optimizations (default is ON). |
| RewriterConfig.Toggle | getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON). |
| بین المللی | getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON). |
| VerifierConfig | 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.Toggle | getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g. |
| بین المللی | getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Toggle | getLoopOptimization () Loop optimizations (default is ON). |
| بین المللی | getLoopOptimizationValue () Loop optimizations (default is ON). |
| RewriterConfig.MemOptType | getMemoryOptimization () Configures memory optimization passes through the meta-optimizer. |
| بین المللی | getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer. |
| رشته | 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). |
| بین المللی | getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once). |
| طولانی | getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| بین المللی | getMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| رشته | getOptimizers (int index) 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 (شاخص 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). |
| بین المللی | 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). |
| بین المللی | getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF). |
| VerifierConfig | 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.Toggle | getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| بین المللی | 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). |
| بین المللی | getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| ScopedAllocatorOptions | getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| ScopedAllocatorOptions.Builder | getScopedAllocatorOptsBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| ScopedAllocatorOptionsOrBuilder | getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Toggle | getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes. |
| بین المللی | getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes. |
| بولی | دارای موازی خودکار () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| بولی | hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| بولی | hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| بولی | hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| بولی نهایی | |
| RewriterConfig.Builder | mergeAutoParallel (مقدار AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | mergeFrom (com.google.protobuf.Message other) |
| RewriterConfig.Builder | mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| RewriterConfig.Builder | mergeInterOptimizerVerifierConfig (مقدار VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | mergePostOptimizationVerifierConfig (مقدار VerifierConfig ) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Builder | mergeScopedAllocatorOpts (مقدار ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| نهایی RewriterConfig.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
| RewriterConfig.Builder | removeCustomOptimizers (int index) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setArithmeticOptimization (مقدار RewriterConfig.Toggle ) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | setArithmeticOptimizationValue (مقدار int) Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setAutoMixedPrecisionMkl (مقدار RewriterConfig.Toggle ) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionMklValue (مقدار int) Optimize data types for MKL (default is OFF). |
| RewriterConfig.Builder | setAutoMixedPrecisionValue (مقدار 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 (مقدار AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| RewriterConfig.Builder | setCommonSubgraphElimination (مقدار RewriterConfig.Toggle ) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setCommonSubgraphEliminationValue (مقدار int) Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Builder | setConstantFolding (مقدار RewriterConfig.Toggle ) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setConstantFoldingValue (مقدار int) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| RewriterConfig.Builder | setCpuLayoutConversion (مقدار RewriterConfig.CpuLayout ) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCpuLayoutConversionValue (مقدار int) CPU Conversion settings between NHCW and NCHW. |
| RewriterConfig.Builder | setCustomOptimizers (int index، RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setCustomOptimizers (شاخص int، مقدار RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.Builder | setDebugStripper (مقدار RewriterConfig.Toggle ) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDebugStripperValue (مقدار int) Strips debug-related nodes from the graph (off by default). |
| RewriterConfig.Builder | setDependencyOptimization (مقدار RewriterConfig.Toggle ) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDependencyOptimizationValue (مقدار int) Control dependency optimizations (default is ON). |
| RewriterConfig.Builder | setDisableMetaOptimizer (مقدار بولی) Disable the entire meta optimizer (off by default). |
| RewriterConfig.Builder | setDisableModelPruning (مقدار بولی) If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| RewriterConfig.Builder | setExperimentalDisableCompressedTensorOptimization (مقدار بولی) Disable optimizations that assume compressed tensors. |
| RewriterConfig.Builder | خطاهای setFailOnOptimizer (مقدار بولی) If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object) |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setFunctionOptimizationValue (مقدار int) Function optimizations (default is ON). |
| RewriterConfig.Builder | setImplementationSelector (مقدار RewriterConfig.Toggle ) Enable the swap of kernel implementations based on the device placement (default is ON). |
| RewriterConfig.Builder | setImplementationSelectorValue (مقدار 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 (مقدار VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLayoutOptimizerValue (مقدار int) Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Builder | |
| RewriterConfig.Builder | setLoopOptimizationValue (مقدار int) Loop optimizations (default is ON). |
| RewriterConfig.Builder | setMemoryOptimization (مقدار RewriterConfig.MemOptType ) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizationValue (مقدار int) Configures memory optimization passes through the meta-optimizer. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScope (مقدار رشته) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMemoryOptimizerTargetNodeNameScopeBytes (مقدار com.google.protobuf.ByteString) A node name scope for node names which are valid outputs of recomputations. |
| RewriterConfig.Builder | setMetaOptimizerIterations (مقدار RewriterConfig.NumIterationsType ) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerIterationsValue (مقدار int) Controls how many times we run the optimizers in meta optimizer (default is once). |
| RewriterConfig.Builder | setMetaOptimizerTimeoutMs (مقدار طولانی) Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| RewriterConfig.Builder | setMinGraphNodes (مقدار int) The minimum number of nodes in a graph to optimizer. |
| RewriterConfig.Builder | setOptimizers (شاخص int، مقدار رشته) 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 (مقدار RewriterConfig.Toggle ) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPinToHostOptimizationValue (مقدار int) Force small ops onto the CPU (default is OFF). |
| RewriterConfig.Builder | setPostOptimizationVerifierConfig (مقدار 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 (مقدار RewriterConfig.Toggle ) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRemappingValue (مقدار int) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| RewriterConfig.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object) |
| RewriterConfig.Builder | setScopedAllocatorOptimization (مقدار RewriterConfig.Toggle ) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOptimizationValue (مقدار int) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| RewriterConfig.Builder | setScopedAllocatorOpts (مقدار ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| RewriterConfig.Builder | setShapeOptimization (مقدار RewriterConfig.Toggle ) Shape optimizations (default is ON) Simplify computations made on shapes. |
| RewriterConfig.Builder | setShapeOptimizationValue (مقدار int) Shape optimizations (default is ON) Simplify computations made on shapes. |
| نهایی RewriterConfig.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
روش های ارثی
روش های عمومی
عمومی RewriterConfig.Builder addAllCustomOptimizers (Iterable<? RewriterConfig.CustomGraphOptimizer > مقادیر را گسترش می دهد)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addAllOptimizers (مقادیر<String> تکرارپذیر)
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; عمومی RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder addCustomOptimizers (int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder addCustomOptimizers (مقدار RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder addCustomOptimizers (شاخص int، مقدار RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (Int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addOptimizers (مقدار رشته)
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 (مقدار 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 (فیلد com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)
عمومی 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; عمومی 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; عمومی 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; عمومی RewriterConfig.Builder clearCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; عمومی RewriterConfig.Builder clearCustomOptimizers ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder clearDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; عمومی RewriterConfig.Builder clearDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; عمومی RewriterConfig.Builder clearDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; عمومی RewriterConfig.Builder clearDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder clearExperimentalDisableCompressedTensorOptimization ()
Disable optimizations that assume compressed tensors. Note that this flag is experimental and may be removed in the future.
bool experimental_disable_compressed_tensor_optimization = 26; عمومی 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; عمومی 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; عمومی RewriterConfig.Builder clearInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی 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; عمومی RewriterConfig.Builder clearLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; عمومی 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; عمومی 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; عمومی RewriterConfig.Builder clearMetaOptimizerIterations ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; عمومی 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; عمومی 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; عمومی 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; عمومی RewriterConfig.Builder clearPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; عمومی 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; عمومی RewriterConfig.Builder clearRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; عمومی 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; عمومی RewriterConfig.Builder clearScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی 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; عمومی 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; عمومی 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; عمومی AutoParallelOptions getAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; عمومی 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; عمومی 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; عمومی 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; عمومی 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; عمومی 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; عمومی RewriterConfig.CpuLayout getCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; عمومی int getCpuLayoutConversionValue ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; عمومی RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; لیست عمومی< RewriterConfig.CustomGraphOptimizer.Builder > getCustomOptimizersBuilderList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی int getCustomOptimizersCount ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; فهرست عمومی < RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (شاخص int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; لیست عمومی<? گسترش RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Toggle getDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; عمومی int getDebugStripperValue ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; عمومی 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 ()
عمومی com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
بولی عمومی getDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; بولین عمومی getDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; بولی عمومی 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; خطاهای بولی عمومی getFailOnOptimizer ()
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; عمومی 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; عمومی VerifierConfig getInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی 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; عمومی 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; عمومی RewriterConfig.Toggle getLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; عمومی 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; عمومی 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; رشته عمومی 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; عمومی 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; عمومی int getMetaOptimizerIterationsValue ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; عمومی طولانی getMetaOptimizerTimeoutMs ()
Maximum number of milliseconds to spend optimizing a single graph before timing out. If equal to 0 the system picks a default (currently 5 minutes). If less than 0 the optimizer will never time out.
int64 meta_optimizer_timeout_ms = 20; public int getMinGraphNodes ()
The minimum number of nodes in a graph to optimizer. For smaller graphs, optimization is skipped. 0 means the system picks an appropriate number. < 0 means do not skip optimization.
int32 min_graph_nodes = 17; getOptimizers رشته عمومی (int index)
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 (int index)
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; عمومی 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; عمومی VerifierConfig getPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; عمومی 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; عمومی VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; عمومی RewriterConfig.Toggle getRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; عمومی 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; عمومی 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; عمومی ScopedAllocatorOptions getScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی RewriterConfig.Toggle getShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; عمومی int getShapeOptimizationValue ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; بولی عمومی hasAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; بولی عمومی hasInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; بولی عمومی hasPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; بولی عمومی hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
بولین نهایی عمومی isInitialized ()
عمومی RewriterConfig.Builder mergeAutoParallel (مقدار AutoParallelOptions )
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; عمومی RewriterConfig.Builder mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
|---|
عمومی RewriterConfig.Builder mergeInterOptimizerVerifierConfig (مقدار VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی RewriterConfig.Builder mergePostOptimizationVerifierConfig (مقدار VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; عمومی RewriterConfig.Builder mergeScopedAllocatorOpts (مقدار ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی نهایی RewriterConfig.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
public RewriterConfig.Builder removeCustomOptimizers (int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder setArithmeticOptimization (مقدار 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 (مقدار int)
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7; عمومی RewriterConfig.Builder setAutoMixedPrecision (مقدار 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; عمومی RewriterConfig.Builder setAutoMixedPrecisionMkl (مقدار 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 (مقدار 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 (مقدار 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; عمومی 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 (مقدار AutoParallelOptions )
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; عمومی RewriterConfig.Builder setCommonSubgraphElimination (مقدار 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 (مقدار 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; عمومی RewriterConfig.Builder setConstantFolding (مقدار 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 (مقدار 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; عمومی RewriterConfig.Builder setCpuLayoutConversion (مقدار RewriterConfig.CpuLayout )
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; public RewriterConfig.Builder setCpuLayoutConversionValue (مقدار int)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; عمومی RewriterConfig.Builder setCustomOptimizers (int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder setCustomOptimizers (int index، RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; عمومی RewriterConfig.Builder setDebugStripper ( مقدار RewriterConfig.Toggle )
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; public RewriterConfig.Builder setDebugStripperValue (مقدار int)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; عمومی RewriterConfig.Builder setDependencyOptimization (مقدار 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 (مقدار 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 (مقدار بولی)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; public RewriterConfig.Builder setDisableModelPruning (مقدار بولی)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (مقدار بولی)
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; عمومی RewriterConfig.Builder setFailOnOptimizerErrors (مقدار بولی)
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 (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
عمومی RewriterConfig.Builder setFunctionOptimization (مقدار RewriterConfig.Toggle )
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setFunctionOptimizationValue (مقدار int)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; عمومی RewriterConfig.Builder setImplementationSelector ( RewriterConfig.Toggle مقدار)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; public RewriterConfig.Builder setImplementationSelectorValue (مقدار int)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; عمومی RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی RewriterConfig.Builder setInterOptimizerVerifierConfig (مقدار VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; عمومی RewriterConfig.Builder setLayoutOptimizer (مقدار 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 (مقدار 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; عمومی RewriterConfig.Builder setLoopOptimization (مقدار RewriterConfig.Toggle )
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; public RewriterConfig.Builder setLoopOptimizationValue (مقدار int)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; عمومی RewriterConfig.Builder setMemoryOptimization (مقدار 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 (مقدار 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 (مقدار رشته)
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; عمومی RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes (مقدار 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; عمومی RewriterConfig.Builder setMetaOptimizerIterations (مقدار 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 (مقدار 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 (مقدار طولانی)
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 (مقدار 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; عمومی RewriterConfig.Builder setOptimizers (شاخص int، مقدار رشته)
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; عمومی RewriterConfig.Builder setPinToHostOptimization (مقدار RewriterConfig.Toggle )
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; public RewriterConfig.Builder setPinToHostOptimizationValue (مقدار int)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; عمومی RewriterConfig.Builder setPostOptimizationVerifierConfig (مقدار VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; عمومی 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; عمومی RewriterConfig.Builder setRemapping ( مقدار RewriterConfig.Toggle )
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRemappingValue (int value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
عمومی RewriterConfig.Builder setScopedAllocatorOptimization (مقدار 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 (مقدار 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; عمومی RewriterConfig.Builder setScopedAllocatorOpts (مقدار ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
عمومی RewriterConfig.Builder setShapeOptimization (مقدار RewriterConfig.Toggle )
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; public RewriterConfig.Builder setShapeOptimizationValue (مقدار int)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;