RewriterConfig

RewriterConfig kelas akhir publik

 Graph rewriting is experimental and subject to change, not covered by any
 API stability guarantees.
 

Protobuf tipe tensorflow.RewriterConfig

Kelas Bersarang

kelas	Penulis UlangConfig.Builder		Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
enum	Penulis UlangConfig.CpuLayout		Enum for layout conversion between NCHW and NHWC on CPU.
kelas	Penulis UlangConfig.CustomGraphOptimizer		Message to describe custom graph optimizer and its parameters Protobuf tipe tensorflow.RewriterConfig.CustomGraphOptimizer
antarmuka	RewriterConfig.CustomGraphOptimizerOrBuilder
enum	RewriterConfig.MemOptType		Protobuf termasuk tensorflow.RewriterConfig.MemOptType
enum	RewriterConfig.NumIterationsType		Enum controlling the number of times to run optimizers.
enum	RewriterConfig.Toggle		Protobuf enum tensorflow.RewriterConfig.Toggle

Konstanta

ke dalam	ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
ke dalam	AUTO_MIXED_PRECISION_FIELD_NUMBER
ke dalam	AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER
ke dalam	AUTO_PARALLEL_FIELD_NUMBER
ke dalam	COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER
ke dalam	CONSTANT_FOLDING_FIELD_NUMBER
ke dalam	CPU_LAYOUT_CONVERSION_FIELD_NUMBER
ke dalam	CUSTOM_OPTIMIZERS_FIELD_NUMBER
ke dalam	DEBUG_STRIPPER_FIELD_NUMBER
ke dalam	DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
ke dalam	DISABLE_META_OPTIMIZER_FIELD_NUMBER
ke dalam	DISABLE_MODEL_PRUNING_FIELD_NUMBER
ke dalam	EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER
ke dalam	FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER
ke dalam	FUNCTION_OPTIMIZATION_FIELD_NUMBER
ke dalam	IMPLEMENTATION_SELECTOR_FIELD_NUMBER
ke dalam	INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER
ke dalam	LAYOUT_OPTIMIZER_FIELD_NUMBER
ke dalam	LOOP_OPTIMIZATION_FIELD_NUMBER
ke dalam	MEMORY_OPTIMIZATION_FIELD_NUMBER
ke dalam	MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
ke dalam	META_OPTIMIZER_ITERATIONS_FIELD_NUMBER
ke dalam	META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER
ke dalam	MIN_GRAPH_NODES_FIELD_NUMBER
ke dalam	OPTIMISASI_FIELD_NUMBER
ke dalam	PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER
ke dalam	POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER
ke dalam	REMAPPING_FIELD_NUMBER
ke dalam	SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
ke dalam	SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
ke dalam	SHAPE_OPTIMIZATION_FIELD_NUMBER

Metode Publik

boolean	sama dengan (Objek objek)
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.
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.
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).
RewriterConfig statis	dapatkanDefaultInstance ()
Konfigurasi Penulis Ulang	dapatkanDefaultInstanceForType ()
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	dapatkanDescriptor ()
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.
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).
	dapatkanParserForType ()
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.
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;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ke dalam	dapatkanUkuranSerial ()
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.
final com.google.protobuf.UnknownFieldSet	dapatkan Bidang Tidak Dikenal ()
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;
ke dalam	Kode hash ()
boolean terakhir	diinisialisasi ()
RewriterConfig.Builder statis	Pembangun baru ()
RewriterConfig.Builder statis	newBuilder (prototipe RewriterConfig )
Penulis UlangConfig.Builder	newBuilderForType ()
RewriterConfig statis	parseDelimitedFrom (masukan Aliran Masukan)
RewriterConfig statis	parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statis	parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statis	parseFrom (com.google.protobuf.CodedInputStream masukan)
RewriterConfig statis	parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statis	parseFrom (data ByteBuffer)
RewriterConfig statis	parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statis	parseFrom (com.google.protobuf.ByteString data)
RewriterConfig statis	parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statis	parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis	pengurai ()
Penulis UlangConfig.Builder	untukPembangun ()
ruang kosong	writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.RewriterConfigOrBuilder

abstrak RewriterConfig.Toggle	dapatkan Optimasi Aritmatika () Arithmetic optimizations (default is ON) e.g.
abstrak ke dalam	dapatkanNilai Optimasi Aritmatika () Arithmetic optimizations (default is ON) e.g.
abstrak RewriterConfig.Toggle	dapatkan Presisi Campuran Otomatis () Optimize data types for CUDA (default is OFF).
abstrak RewriterConfig.Toggle	dapatkanAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
abstrak ke dalam	dapatkanAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
abstrak ke dalam	dapatkanAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
abstrak AutoParallelOptions	dapatkanAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
abstrak AutoParallelOptionsOrBuilder	dapatkanAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
abstrak RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
abstrak ke dalam	dapatkanCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
abstrak RewriterConfig.Toggle	dapatkan Lipatan Konstan () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
abstrak ke dalam	dapatkanConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
abstrak RewriterConfig.CpuLayout	dapatkanCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
abstrak ke dalam	dapatkanCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
abstrak RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply.
abstrak ke dalam	dapatkanCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Daftar abstrak< RewriterConfig.CustomGraphOptimizer >	dapatkanDaftar Pengoptimal Khusus () list of CustomGraphOptimizers to apply.
abstrak RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (int indeks) list of CustomGraphOptimizers to apply.
Daftar abstrak<? memperluas RewriterConfig.CustomGraphOptimizerOrBuilder >	dapatkanCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
abstrak RewriterConfig.Toggle	dapatkanDebugStripper () Strips debug-related nodes from the graph (off by default).
abstrak ke dalam	dapatkanDebugStripperValue () Strips debug-related nodes from the graph (off by default).
abstrak RewriterConfig.Toggle	dapatkan DependencyOptimization () Control dependency optimizations (default is ON).
abstrak ke dalam	dapatkanDependencyOptimizationValue () Control dependency optimizations (default is ON).
boolean abstrak	dapatkanDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
boolean abstrak	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
boolean abstrak	dapatkanExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
boolean abstrak	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
abstrak RewriterConfig.Toggle	dapatkanFunctionOptimization () Function optimizations (default is ON).
abstrak ke dalam	dapatkanFunctionOptimizationValue () Function optimizations (default is ON).
abstrak RewriterConfig.Toggle	dapatkanImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
abstrak ke dalam	dapatkanImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
abstrak VerifierConfig	dapatkanInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
abstrak VerifierConfigOrBuilder	dapatkanInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
abstrak RewriterConfig.Toggle	dapatkanLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
abstrak ke dalam	dapatkanLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
abstrak RewriterConfig.Toggle	dapatkanLoopOptimasi () Loop optimizations (default is ON).
abstrak ke dalam	dapatkanLoopOptimizationValue () Loop optimizations (default is ON).
abstrak RewriterConfig.MemOptType	dapatkan Optimasi Memori () Configures memory optimization passes through the meta-optimizer.
abstrak ke dalam	dapatkanMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
Tali abstrak	dapatkanMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
abstrak com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
abstrak RewriterConfig.NumIterationsType	dapatkanMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
abstrak ke dalam	dapatkanMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
abstrak panjang	dapatkanMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
abstrak ke dalam	dapatkanMinGraphNodes () The minimum number of nodes in a graph to optimizer.
Tali abstrak	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).
abstrak 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).
abstrak 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).
Daftar abstrak<String>	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).
abstrak RewriterConfig.Toggle	dapatkanPinToHostOptimasi () Force small ops onto the CPU (default is OFF).
abstrak ke dalam	dapatkanPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
abstrak VerifierConfig	dapatkanPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstrak VerifierConfigOrBuilder	dapatkanPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstrak RewriterConfig.Toggle	dapatkan pemetaan ulang () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
abstrak ke dalam	dapatkan Pemetaan Ulang Nilai () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
abstrak RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
abstrak ke dalam	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
abstrak ScopedAllocatorOptions	dapatkanScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstrak ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstrak RewriterConfig.Toggle	dapatkan Optimasi Bentuk () Shape optimizations (default is ON) Simplify computations made on shapes.
abstrak ke dalam	dapatkanBentukOptimasiNilai () Shape optimizations (default is ON) Simplify computations made on shapes.
boolean abstrak	memilikiAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
boolean abstrak	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
boolean abstrak	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
boolean abstrak	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Konstanta

int akhir statis publik ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 7

int final statis publik AUTO_MIXED_PRECISION_FIELD_NUMBER

Nilai Konstan: 23

int final statis publik AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Nilai Konstan: 25

int final statis publik AUTO_PARALLEL_FIELD_NUMBER

Nilai Konstan: 5

int final statis publik COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Nilai Konstan: 24

int final statis publik CONSTANT_FOLDING_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Nilai Konstan: 50

int akhir statis publik CUSTOM_OPTIMIZERS_FIELD_NUMBER

Nilai Konstan: 200

int akhir statis publik DEBUG_STRIPPER_FIELD_NUMBER

Nilai Konstan: 11

int akhir statis publik DEPDENCY_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 8

int akhir statis publik DISABLE_META_OPTIMIZER_FIELD_NUMBER

Nilai Konstan: 19

int final statis publik DISABLE_MODEL_PRUNING_FIELD_NUMBER

Nilai Konstan: 2

int final statis publik EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 26

int final statis publik FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Nilai Konstan: 21

int final statis publik FUNCTION_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 10

int akhir statis publik IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Nilai Konstan: 22

int final statis publik INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Nilai Konstan: 300

int akhir statis publik LAYOUT_OPTIMIZER_FIELD_NUMBER

Nilai Konstan: 1

int final statis publik LOOP_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 9

int akhir statis publik MEMORY_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 4

int final statis publik MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

Nilai Konstan: 12

int akhir statis publik META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Nilai Konstan: 20

int akhir statis publik MIN_GRAPH_NODES_FIELD_NUMBER

Nilai Konstan: 17

int final statis publik OPTIMIZERS_FIELD_NUMBER

Nilai Konstan: 100

int akhir statis publik PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 18

int final statis publik POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Nilai Konstan: 301

int final statis publik REMAPPING_FIELD_NUMBER

Nilai Konstan: 14

int akhir statis publik SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 15

int akhir statis publik SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Nilai Konstan: 16

int final statis publik SHAPE_OPTIMIZATION_FIELD_NUMBER

Nilai Konstan: 13

Metode Publik

boolean publik sama (Obj objek)

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;

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;

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;

RewriterConfig getDefaultInstance statis publik ()

publik RewriterConfig getDefaultInstanceForType ()

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 ()

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;

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 dapatkanParserForType ()

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;

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;

publik ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

publik int getSerializedSize ()

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;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

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;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

RewriterConfig.Builder newBuilder () statis publik

RewriterConfig.Builder newBuilder statis publik (prototipe RewriterConfig )

publik RewriterConfig.Builder newBuilderForType ()

public static RewriterConfig parseDelimitedFrom (input InputStream)

Melempar

Pengecualian IO

public static RewriterConfig parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RewriterConfig statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom RewriterConfig statis publik (com.google.protobuf.CodedInputStream masukan)

Melempar

Pengecualian IO

parseFrom RewriterConfig statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom RewriterConfig statis publik (data ByteBuffer)

Melempar

InvalidProtocolBufferException

parseFrom RewriterConfig statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RewriterConfig statis publik (com.google.protobuf.ByteString data)

Melempar

InvalidProtocolBufferException

parseFrom RewriterConfig statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RewriterConfig statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

statis publik pengurai ()

publik RewriterConfig.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream keluaran)

Melempar

Pengecualian IO