kelas akhir statis publik RewriterConfig.Builder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
tensorflow.RewriterConfig Metode Publik
| Penulis UlangConfig.Builder | addAllCustomOptimizers (Nilai Iterable<? extends RewriterConfig.CustomGraphOptimizer >) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | addAllOptimizers (nilai<String> yang dapat diubah) 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). |
| Penulis UlangConfig.Builder | addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | addCustomOptimizers (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | addCustomOptimizers (nilai RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | addCustomOptimizers (indeks int, nilai RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | addCustomOptimizersBuilder (indeks int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | tambahkanCustomOptimizersBuilder () list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | addOptimizers (Nilai 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). |
| Penulis UlangConfig.Builder | addOptimizersBytes (nilai 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). |
| Penulis UlangConfig.Builder | addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek) |
| Konfigurasi Penulis Ulang | membangun () |
| Konfigurasi Penulis Ulang | |
| Penulis UlangConfig.Builder | jernih () |
| Penulis UlangConfig.Builder | jelasPengoptimalan Aritmatika () Arithmetic optimizations (default is ON) e.g. |
| Penulis UlangConfig.Builder | hapusAutoMixedPrecision () Optimize data types for CUDA (default is OFF). |
| Penulis UlangConfig.Builder | hapusAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF). |
| Penulis UlangConfig.Builder | hapusAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| Penulis UlangConfig.Builder | clearCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g. |
| Penulis UlangConfig.Builder | jelasKonstanFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| Penulis UlangConfig.Builder | hapusCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW. |
| Penulis UlangConfig.Builder | hapus Pengoptimal Khusus () list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | hapusDebugStripper () Strips debug-related nodes from the graph (off by default). |
| Penulis UlangConfig.Builder | clearDependencyOptimization () Control dependency optimizations (default is ON). |
| Penulis UlangConfig.Builder | hapusNonaktifkanMetaOptimizer () Disable the entire meta optimizer (off by default). |
| Penulis UlangConfig.Builder | clearDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| Penulis UlangConfig.Builder | clearExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors. |
| Penulis UlangConfig.Builder | clearFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| Penulis UlangConfig.Builder | clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor) |
| Penulis UlangConfig.Builder | clearFunctionOptimization () Function optimizations (default is ON). |
| Penulis UlangConfig.Builder | clearImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON). |
| Penulis UlangConfig.Builder | hapusInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| Penulis UlangConfig.Builder | jelasLayoutOptimizer () Optimize tensor layouts (default is ON) e.g. |
| Penulis UlangConfig.Builder | hapusLoopOptimasi () Loop optimizations (default is ON). |
| Penulis UlangConfig.Builder | clearMemoryOptimization () Configures memory optimization passes through the meta-optimizer. |
| Penulis UlangConfig.Builder | clearMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations. |
| Penulis UlangConfig.Builder | clearMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once). |
| Penulis UlangConfig.Builder | clearMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| Penulis UlangConfig.Builder | hapusMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| Penulis UlangConfig.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| Penulis UlangConfig.Builder | clearOptimizer () 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). |
| Penulis UlangConfig.Builder | clearPinToHostOptimasi () Force small ops onto the CPU (default is OFF). |
| Penulis UlangConfig.Builder | hapusPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| Penulis UlangConfig.Builder | jelas Memetakan Ulang () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| Penulis UlangConfig.Builder | clearScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| Penulis UlangConfig.Builder | clearScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| Penulis UlangConfig.Builder | clearShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes. |
| Penulis UlangConfig.Builder | klon () |
| RewriterConfig.Toggle | dapatkan Optimasi Aritmatika () Arithmetic optimizations (default is ON) e.g. |
| ke dalam | dapatkanNilai Optimasi Aritmatika () Arithmetic optimizations (default is ON) e.g. |
| RewriterConfig.Toggle | dapatkan Presisi Campuran Otomatis () Optimize data types for CUDA (default is OFF). |
| RewriterConfig.Toggle | dapatkanAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF). |
| ke dalam | dapatkanAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF). |
| ke dalam | dapatkanAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF). |
| Opsi Paralel Otomatis | dapatkanAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| AutoParallelOptions.Builder | dapatkanAutoParallelBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| AutoParallelOptionsOrBuilder | dapatkanAutoParallelOrBuilder () 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. |
| ke dalam | dapatkanCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g. |
| RewriterConfig.Toggle | dapatkan Lipatan Konstan () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| ke dalam | dapatkanConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| Penulis UlangConfig.CpuLayout | dapatkanCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW. |
| ke dalam | dapatkanCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW. |
| Penulis UlangConfig.CustomGraphOptimizer | getCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizer.Builder | getCustomOptimizersBuilder (indeks int) list of CustomGraphOptimizers to apply. |
| Daftar< RewriterConfig.CustomGraphOptimizer.Builder > | dapatkanCustomOptimizersBuilderList () list of CustomGraphOptimizers to apply. |
| ke dalam | dapatkanCustomOptimizersCount () list of CustomGraphOptimizers to apply. |
| Daftar< RewriterConfig.CustomGraphOptimizer > | dapatkanDaftar Pengoptimal Khusus () list of CustomGraphOptimizers to apply. |
| RewriterConfig.CustomGraphOptimizerOrBuilder | getCustomOptimizersOrBuilder (int indeks) list of CustomGraphOptimizers to apply. |
| Daftar<? memperluas RewriterConfig.CustomGraphOptimizerOrBuilder > | dapatkanCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply. |
| RewriterConfig.Toggle | dapatkanDebugStripper () Strips debug-related nodes from the graph (off by default). |
| ke dalam | dapatkanDebugStripperValue () Strips debug-related nodes from the graph (off by default). |
| Konfigurasi Penulis Ulang | |
| RewriterConfig.Toggle | dapatkan DependencyOptimization () Control dependency optimizations (default is ON). |
| ke dalam | dapatkanDependencyOptimizationValue () Control dependency optimizations (default is ON). |
| com.google.protobuf.Descriptors.Descriptor statis terakhir | |
| com.google.protobuf.Descriptors.Descriptor | |
| boolean | dapatkanDisableMetaOptimizer () Disable the entire meta optimizer (off by default). |
| boolean | getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| boolean | dapatkanExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors. |
| boolean | getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| RewriterConfig.Toggle | dapatkanFunctionOptimization () Function optimizations (default is ON). |
| ke dalam | dapatkanFunctionOptimizationValue () Function optimizations (default is ON). |
| RewriterConfig.Toggle | dapatkanImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON). |
| ke dalam | dapatkanImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON). |
| Konfigurasi Verifier | dapatkanInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| VerifierConfig.Builder | dapatkanInterOptimizerVerifierConfigBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| VerifierConfigOrBuilder | dapatkanInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer. |
| RewriterConfig.Toggle | dapatkanLayoutOptimizer () Optimize tensor layouts (default is ON) e.g. |
| ke dalam | dapatkanLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g. |
| RewriterConfig.Toggle | dapatkanLoopOptimasi () Loop optimizations (default is ON). |
| ke dalam | dapatkanLoopOptimizationValue () Loop optimizations (default is ON). |
| RewriterConfig.MemOptType | dapatkan Optimasi Memori () Configures memory optimization passes through the meta-optimizer. |
| ke dalam | dapatkanMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer. |
| Rangkaian | dapatkanMemoryOptimizerTargetNodeNameScope () 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 | dapatkanMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once). |
| ke dalam | dapatkanMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once). |
| panjang | dapatkanMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| ke dalam | dapatkanMinGraphNodes () The minimum number of nodes in a graph to optimizer. |
| Rangkaian | 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). |
| ke dalam | dapatkanOptimizersCount () 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 | dapatkanDaftar Pengoptimal () 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 | dapatkanPinToHostOptimasi () Force small ops onto the CPU (default is OFF). |
| ke dalam | dapatkanPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF). |
| Konfigurasi Verifier | dapatkanPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| VerifierConfig.Builder | dapatkanPostOptimizationVerifierConfigBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| VerifierConfigOrBuilder | dapatkanPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| RewriterConfig.Toggle | dapatkan pemetaan ulang () Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| ke dalam | dapatkan Pemetaan Ulang Nilai () 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). |
| ke dalam | getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| Opsi Pengalokasi Cakupan | dapatkanScopedAllocatorOpts () .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 | dapatkan Optimasi Bentuk () Shape optimizations (default is ON) Simplify computations made on shapes. |
| ke dalam | dapatkanBentukOptimasiNilai () Shape optimizations (default is ON) Simplify computations made on shapes. |
| boolean | memilikiAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| boolean | hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer. |
| boolean | hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| boolean | hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| boolean terakhir | |
| Penulis UlangConfig.Builder | mergeAutoParallel (nilai AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| Penulis UlangConfig.Builder | mergeFrom (com.google.protobuf.Pesan lainnya) |
| Penulis UlangConfig.Builder | mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| Penulis UlangConfig.Builder | mergeInterOptimizerVerifierConfig (nilai VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| Penulis UlangConfig.Builder | mergePostOptimizationVerifierConfig (nilai VerifierConfig ) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| Penulis UlangConfig.Builder | mergeScopedAllocatorOpts (nilai ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| terakhir RewriterConfig.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
| Penulis UlangConfig.Builder | hapusCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | setArithmeticOptimization ( Nilai RewriterConfig.Toggle ) Arithmetic optimizations (default is ON) e.g. |
| Penulis UlangConfig.Builder | setArithmeticOptimizationValue (nilai int) Arithmetic optimizations (default is ON) e.g. |
| Penulis UlangConfig.Builder | setAutoMixedPrecision ( Nilai RewriterConfig.Toggle ) Optimize data types for CUDA (default is OFF). |
| Penulis UlangConfig.Builder | setAutoMixedPrecisionMkl ( Nilai RewriterConfig.Toggle ) Optimize data types for MKL (default is OFF). |
| Penulis UlangConfig.Builder | setAutoMixedPrecisionMklValue (nilai int) Optimize data types for MKL (default is OFF). |
| Penulis UlangConfig.Builder | setAutoMixedPrecisionValue (nilai int) Optimize data types for CUDA (default is OFF). |
| Penulis UlangConfig.Builder | setAutoParallel ( AutoParallelOptions.Pembuat pembangunForValue) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| Penulis UlangConfig.Builder | setAutoParallel (nilai AutoParallelOptions ) Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field. |
| Penulis UlangConfig.Builder | setCommonSubgraphElimination ( Nilai RewriterConfig.Toggle ) Common subgraph elimination (default is ON) e.g. |
| Penulis UlangConfig.Builder | setCommonSubgraphEliminationValue (nilai int) Common subgraph elimination (default is ON) e.g. |
| Penulis UlangConfig.Builder | setConstantFolding ( Nilai RewriterConfig.Toggle ) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| Penulis UlangConfig.Builder | setConstantFoldingValue (nilai int) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants. |
| Penulis UlangConfig.Builder | setCpuLayoutConversion (nilai RewriterConfig.CpuLayout ) CPU Conversion settings between NHCW and NCHW. |
| Penulis UlangConfig.Builder | setCpuLayoutConversionValue (nilai int) CPU Conversion settings between NHCW and NCHW. |
| Penulis UlangConfig.Builder | setCustomOptimizers (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | setCustomOptimizers (indeks int, nilai RewriterConfig.CustomGraphOptimizer ) list of CustomGraphOptimizers to apply. |
| Penulis UlangConfig.Builder | setDebugStripper ( Nilai RewriterConfig.Toggle ) Strips debug-related nodes from the graph (off by default). |
| Penulis UlangConfig.Builder | setDebugStripperValue (nilai int) Strips debug-related nodes from the graph (off by default). |
| Penulis UlangConfig.Builder | setDependencyOptimization ( Nilai RewriterConfig.Toggle ) Control dependency optimizations (default is ON). |
| Penulis UlangConfig.Builder | setDependencyOptimizationValue (nilai int) Control dependency optimizations (default is ON). |
| Penulis UlangConfig.Builder | setDisableMetaOptimizer (nilai boolean) Disable the entire meta optimizer (off by default). |
| Penulis UlangConfig.Builder | setDisableModelPruning (nilai boolean) If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2; |
| Penulis UlangConfig.Builder | setExperimentalDisableCompressedTensorOptimization (nilai boolean) Disable optimizations that assume compressed tensors. |
| Penulis UlangConfig.Builder | setFailOnOptimizerErrors (nilai boolean) If true, any optimization pass failing will cause the MetaOptimizer to stop with an error. |
| Penulis UlangConfig.Builder | setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek) |
| Penulis UlangConfig.Builder | |
| Penulis UlangConfig.Builder | setFunctionOptimizationValue (nilai int) Function optimizations (default is ON). |
| Penulis UlangConfig.Builder | setImplementationSelector ( Nilai RewriterConfig.Toggle ) Enable the swap of kernel implementations based on the device placement (default is ON). |
| Penulis UlangConfig.Builder | setImplementationSelectorValue (nilai int) Enable the swap of kernel implementations based on the device placement (default is ON). |
| Penulis UlangConfig.Builder | setInterOptimizerVerifierConfig ( VerifierConfig.Pembuat pembangunForValue) VerifierConfig specifying the verifiers to be run after every optimizer. |
| Penulis UlangConfig.Builder | setInterOptimizerVerifierConfig (nilai VerifierConfig ) VerifierConfig specifying the verifiers to be run after every optimizer. |
| Penulis UlangConfig.Builder | |
| Penulis UlangConfig.Builder | setLayoutOptimizerValue (nilai int) Optimize tensor layouts (default is ON) e.g. |
| Penulis UlangConfig.Builder | |
| Penulis UlangConfig.Builder | setLoopOptimizationValue (nilai int) Loop optimizations (default is ON). |
| Penulis UlangConfig.Builder | setMemoryOptimization (nilai RewriterConfig.MemOptType ) Configures memory optimization passes through the meta-optimizer. |
| Penulis UlangConfig.Builder | setMemoryOptimizationValue (nilai int) Configures memory optimization passes through the meta-optimizer. |
| Penulis UlangConfig.Builder | setMemoryOptimizerTargetNodeNameScope (Nilai string) A node name scope for node names which are valid outputs of recomputations. |
| Penulis UlangConfig.Builder | setMemoryOptimizerTargetNodeNameScopeBytes (nilai com.google.protobuf.ByteString) A node name scope for node names which are valid outputs of recomputations. |
| Penulis UlangConfig.Builder | setMetaOptimizerIterations (nilai RewriterConfig.NumIterationsType ) Controls how many times we run the optimizers in meta optimizer (default is once). |
| Penulis UlangConfig.Builder | setMetaOptimizerIterationsValue (nilai int) Controls how many times we run the optimizers in meta optimizer (default is once). |
| Penulis UlangConfig.Builder | setMetaOptimizerTimeoutMs (nilai panjang) Maximum number of milliseconds to spend optimizing a single graph before timing out. |
| Penulis UlangConfig.Builder | setMinGraphNodes (nilai int) The minimum number of nodes in a graph to optimizer. |
| Penulis UlangConfig.Builder | setOptimizers (indeks int, nilai 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). |
| Penulis UlangConfig.Builder | setPinToHostOptimization ( Nilai RewriterConfig.Toggle ) Force small ops onto the CPU (default is OFF). |
| Penulis UlangConfig.Builder | setPinToHostOptimizationValue (nilai int) Force small ops onto the CPU (default is OFF). |
| Penulis UlangConfig.Builder | setPostOptimizationVerifierConfig (nilai VerifierConfig ) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| Penulis UlangConfig.Builder | setPostOptimizationVerifierConfig ( VerifierConfig.Pembuat pembangunForValue) VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run. |
| Penulis UlangConfig.Builder | setRemapping ( Nilai RewriterConfig.Toggle ) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| Penulis UlangConfig.Builder | setRemappingValue (nilai int) Remapping (default is ON) Remap subgraphs onto more efficient implementations. |
| Penulis UlangConfig.Builder | setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek) |
| Penulis UlangConfig.Builder | setScopedAllocatorOptimization ( Nilai RewriterConfig.Toggle ) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| Penulis UlangConfig.Builder | setScopedAllocatorOptimizationValue (nilai int) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default). |
| Penulis UlangConfig.Builder | setScopedAllocatorOpts (nilai ScopedAllocatorOptions ) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| Penulis UlangConfig.Builder | setScopedAllocatorOpts ( ScopedAllocatorOptions.Pembuat pembangunForValue) .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16; |
| Penulis UlangConfig.Builder | setShapeOptimization ( Nilai RewriterConfig.Toggle ) Shape optimizations (default is ON) Simplify computations made on shapes. |
| Penulis UlangConfig.Builder | setShapeOptimizationValue (nilai int) Shape optimizations (default is ON) Simplify computations made on shapes. |
| terakhir RewriterConfig.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
Metode Warisan
Metode Publik
public RewriterConfig.Builder addAllCustomOptimizers (Nilai Iterable<? extends RewriterConfig.CustomGraphOptimizer >)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addAllOptimizers (nilai<String> Iterable)
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; publik RewriterConfig.Builder addCustomOptimizers ( RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.Builder addCustomOptimizers (int indeks, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (nilai RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addCustomOptimizers (indeks int, nilai RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder (indeks int)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder addOptimizers (Nilai 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; publik RewriterConfig.Builder addOptimizersBytes (nilai 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 (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
publik 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; publik 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; publik 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; publik 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; publik 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; publik RewriterConfig.Builder clearCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; publik RewriterConfig.Builder clearCustomOptimizers ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.Builder clearDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; publik RewriterConfig.Builder clearDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; publik RewriterConfig.Builder clearDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; publik 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; publik 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; publik RewriterConfig.Builder clearFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; publik RewriterConfig.Builder clearImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; publik RewriterConfig.Builder clearInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; publik 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; publik RewriterConfig.Builder clearLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; publik 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; publik 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; publik RewriterConfig.Builder clearMetaOptimizerIterations ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; publik 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; publik 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; publik 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; publik RewriterConfig.Builder clearPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; publik 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; publik RewriterConfig.Builder clearRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; publik 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; publik RewriterConfig.Builder clearScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publik RewriterConfig.Builder clearShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; publik 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; publik 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; publik 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; int publik 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; int publik 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; AutoParallelOptions publik getAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; AutoParallelOptions.Builder publik getAutoParallelBuilder ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; AutoParallelOptionsOrBuilder publik getAutoParallelOrBuilder ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; publik 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; publik 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; int publik 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; publik RewriterConfig.CpuLayout getCpuLayoutConversion ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; publik int getCpuLayoutConversionValue ()
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; publik RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int indeks)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder (int indeks)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; Daftar publik< RewriterConfig.CustomGraphOptimizer.Builder > getCustomOptimizersBuilderList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; int publik getCustomOptimizersCount ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; Daftar publik< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int indeks)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; Daftar Publik<? memperluas RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; publik RewriterConfig.Toggle getDebugStripper ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; int publik getDebugStripperValue ()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; publik RewriterConfig.Toggle getDependencyOptimization ()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8; publik 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 ()
com.google.protobuf.Descriptors.Descriptor publik getDescriptorForType ()
boolean publik getDisableMetaOptimizer ()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; boolean publik getDisableModelPruning ()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; boolean publik 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; boolean publik 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; publik RewriterConfig.Toggle getFunctionOptimization ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; int publik getFunctionOptimizationValue ()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; publik RewriterConfig.Toggle getImplementationSelector ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; publik int getImplementationSelectorValue ()
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; VerifierConfig publik getInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; VerifierConfig.Builder publik getInterOptimizerVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; VerifierConfigOrBuilder publik getInterOptimizerVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; publik 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; int publik 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; publik RewriterConfig.Toggle getLoopOptimization ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; int publik getLoopOptimizationValue ()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; publik 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; publik 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; String publik 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; publik 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; publik RewriterConfig.NumIterationsType getMetaOptimizerIterations ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; int publik getMetaOptimizerIterationsValue ()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12; getMetaOptimizerTimeoutMs panjang publik ()
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; int publik 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 String publik (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; com.google.protobuf.ByteString getOptimizersBytes publik (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; int publik 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; com.google.protobuf.ProtocolStringList getOptimizersList () publik
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; publik RewriterConfig.Toggle getPinToHostOptimization ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; int publik getPinToHostOptimizationValue ()
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; VerifierConfig publik getPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; VerifierConfig.Builder publik getPostOptimizationVerifierConfigBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; VerifierConfigOrBuilder publik getPostOptimizationVerifierConfigOrBuilder ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; publik RewriterConfig.Toggle getRemapping ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; int publik getRemappingValue ()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; publik 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; int publik 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; ScopedAllocatorOptions publik getScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptions.Builder publik getScopedAllocatorOptsBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publik ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publik RewriterConfig.Toggle getShapeOptimization ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; int publik getShapeOptimizationValue ()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; boolean publik hasAutoParallel ()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5; boolean publik hasInterOptimizerVerifierConfig ()
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; boolean publik hasPostOptimizationVerifierConfig ()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; boolean publik hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
boolean akhir publik diinisialisasi ()
publik RewriterConfig.Builder mergeAutoParallel (nilai 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 (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
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publik RewriterConfig.Builder mergeInterOptimizerVerifierConfig (nilai VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; public RewriterConfig.Builder mergePostOptimizationVerifierConfig (nilai VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; publik RewriterConfig.Builder mergeScopedAllocatorOpts (nilai ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
public final RewriterConfig.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
RewriterConfig.Builder publik menghapusCustomOptimizers (int indeks)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; RewriterConfig.Builder setArithmeticOptimization publik (nilai 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; publik RewriterConfig.Builder setArithmeticOptimizationValue (nilai 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 ( Nilai 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; publik RewriterConfig.Builder setAutoMixedPrecisionMkl ( RewriterConfig.Toggle value)
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; publik RewriterConfig.Builder setAutoMixedPrecisionMklValue (nilai 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 (nilai 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; publik 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;publik RewriterConfig.Builder setAutoParallel (nilai 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 ( Nilai 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 (nilai 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; publik RewriterConfig.Builder setConstantFolding ( Nilai 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; publik RewriterConfig.Builder setConstantFoldingValue (nilai 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; publik RewriterConfig.Builder setCpuLayoutConversion (nilai RewriterConfig.CpuLayout )
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; publik RewriterConfig.Builder setCpuLayoutConversionValue (nilai int)
CPU Conversion settings between NHCW and NCHW.
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50; RewriterConfig.Builder setCustomOptimizers publik (indeks int, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; public RewriterConfig.Builder setCustomOptimizers (indeks int, nilai RewriterConfig.CustomGraphOptimizer )
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200; RewriterConfig.Builder setDebugStripper publik (nilai RewriterConfig.Toggle )
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; publik RewriterConfig.Builder setDebugStripperValue (nilai int)
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11; publik RewriterConfig.Builder setDependencyOptimization ( Nilai 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 (nilai 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 (nilai boolean)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19; public RewriterConfig.Builder setDisableModelPruning (nilai boolean)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2; public RewriterConfig.Builder setExperimentalDisableCompressedTensorOptimization (nilai boolean)
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 (nilai boolean)
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 (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
publik RewriterConfig.Builder setFunctionOptimization ( Nilai RewriterConfig.Toggle )
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; public RewriterConfig.Builder setFunctionOptimizationValue (nilai int)
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10; publik RewriterConfig.Builder setImplementationSelector ( RewriterConfig.Toggle value)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; publik RewriterConfig.Builder setImplementationSelectorValue (nilai int)
Enable the swap of kernel implementations based on the device placement (default is ON).
.tensorflow.RewriterConfig.Toggle implementation_selector = 22; publik RewriterConfig.Builder setInterOptimizerVerifierConfig ( VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; publik RewriterConfig.Builder setInterOptimizerVerifierConfig (nilai VerifierConfig )
VerifierConfig specifying the verifiers to be run after every optimizer.
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300; publik RewriterConfig.Builder setLayoutOptimizer ( Nilai 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; publik RewriterConfig.Builder setLayoutOptimizerValue (nilai 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; publik RewriterConfig.Builder setLoopOptimization ( Nilai RewriterConfig.Toggle )
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; publik RewriterConfig.Builder setLoopOptimizationValue (nilai int)
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9; publik RewriterConfig.Builder setMemoryOptimization (nilai 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; publik RewriterConfig.Builder setMemoryOptimizationValue (nilai 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 (Nilai string)
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 (nilai 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; publik RewriterConfig.Builder setMetaOptimizerIterations (nilai 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 (nilai 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 (nilai panjang)
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; publik RewriterConfig.Builder setMinGraphNodes (nilai 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, nilai 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; publik RewriterConfig.Builder setPinToHostOptimization ( Nilai RewriterConfig.Toggle )
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; publik RewriterConfig.Builder setPinToHostOptimizationValue (nilai int)
Force small ops onto the CPU (default is OFF).
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18; publik RewriterConfig.Builder setPostOptimizationVerifierConfig (nilai VerifierConfig )
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.tensorflow.VerifierConfig post_optimization_verifier_config = 301; publik 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 ( RewriterConfig.Toggle value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; publik RewriterConfig.Builder setRemappingValue (nilai int)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14; public RewriterConfig.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
public RewriterConfig.Builder setScopedAllocatorOptimization ( Nilai 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 (nilai 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; publik RewriterConfig.Builder setScopedAllocatorOpts (nilai ScopedAllocatorOptions )
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publik RewriterConfig.Builder setScopedAllocatorOpts ( ScopedAllocatorOptions.Builder builderForValue)
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
publik RewriterConfig.Builder setShapeOptimization ( Nilai RewriterConfig.Toggle )
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13; publik RewriterConfig.Builder setShapeOptimizationValue (nilai int)
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;