RewriterConfig

classe finale pubblica RewriterConfig

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

Tipo di protocollo tensorflow.RewriterConfig

Classi nidificate

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

Costanti

int	ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER
int	AUTO_PARALLEL_FIELD_NUMBER
int	COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER
int	CONSTANT_FOLDING_FIELD_NUMBER
int	CPU_LAYOUT_CONVERSION_FIELD_NUMBER
int	CUSTOM_OPTIMIZERS_FIELD_NUMBER
int	DEBUG_STRIPPER_FIELD_NUMBER
int	DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
int	DISABLE_META_OPTIMIZER_FIELD_NUMBER
int	DISABLE_MODEL_PRUNING_FIELD_NUMBER
int	ESPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER
int	FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER
int	FUNCTION_OPTIMIZATION_FIELD_NUMBER
int	IMPLEMENTATION_SELECTOR_FIELD_NUMBER
int	INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER
int	LAYOUT_OPTIMIZER_FIELD_NUMBER
int	LOOP_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
int	META_OPTIMIZER_ITERAZIONI_FIELD_NUMBER
int	META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER
int	MIN_GRAPH_NODES_FIELD_NUMBER
int	OTTIMIZZATORI_FIELD_NUMBER
int	PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER
int	POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER
int	REMAPPING_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
int	SHAPE_OPTIMIZATION_FIELD_NUMBER

Metodi pubblici

booleano	è uguale a (Oggetto oggetto)
RewriterConfig.Toggle	getArithmeticOptimization () Arithmetic optimizations (default is ON) e.g.
int	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Opzioni di parallelo automatico	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Toggle	getCommonSubgraphEliminazione () Common subgraph elimination (default is ON) e.g.
int	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
int	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.CpuLayout	getCpuLayoutConversione () CPU Conversion settings between NHCW and NCHW.
int	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (indice int) list of CustomGraphOptimizers to apply.
int	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Elenco< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (indice int) list of CustomGraphOptimizers to apply.
Elenco<? estende RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
int	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
RewriterConfig statico	getDefaultInstance ()
RewriterConfig	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
com.google.protobuf.Descriptors.Descriptor statico finale	getDescrittore ()
booleano	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
booleano	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
booleano	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
booleano	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
int	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
int	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
VerifierConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
int	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
int	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
int	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
Corda	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.NumIterationsType	getMetaOptimizerIterazioni () Controls how many times we run the optimizers in meta optimizer (default is once).
int	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
lungo	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
int	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
Corda	getOptimizers (indice 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 (indice 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).
int	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ProtocolStringList	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
	getParserForType ()
RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
int	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
VerifierConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
int	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
int	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
ScopedAllocatorOptions	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
int	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
finale com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booleano	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
booleano	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
booleano	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
booleano	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	codicehash ()
booleano finale	èinizializzato ()
RewriterConfig.Builder statico	nuovocostruttore ()
RewriterConfig.Builder statico	newBuilder (prototipo RewriterConfig )
RewriterConfig.Builder	newBuilderForType ()
RewriterConfig statico	parseDelimitedFrom (input InputStream)
RewriterConfig statico	parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statico	parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statico	parseFrom (ingresso com.google.protobuf.CodedInputStream)
RewriterConfig statico	parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statico	parseFrom (dati ByteBuffer)
RewriterConfig statico	parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
RewriterConfig statico	parseFrom (dati com.google.protobuf.ByteString)
RewriterConfig statico	parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig statico	parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
statico	analizzatore ()
RewriterConfig.Builder	toBuilder ()
vuoto	writeTo (output com.google.protobuf.CodedOutputStream)

Metodi ereditati

Dalla classe java.lang.Object

booleano	è uguale a (Oggetto arg0)
Classe finale<?>	getClass ()
int	codicehash ()
vuoto finale	avvisare ()
vuoto finale	notificaTutti ()
Corda	aStringa ()
vuoto finale	attendere (lungo arg0, int arg1)
vuoto finale	aspetta (lungo arg0)
vuoto finale	Aspettare ()

Dall'interfaccia org.tensorflow.proto.framework.RewriterConfigOrBuilder

abstract RewriterConfig.Toggle	getArithmeticOptimization () Arithmetic optimizations (default is ON) e.g.
astratto int	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
abstract RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
abstract RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
astratto int	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
astratto int	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Opzioni AutoParallel astratte	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
astratto AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
abstract RewriterConfig.Toggle	getCommonSubgraphEliminazione () Common subgraph elimination (default is ON) e.g.
astratto int	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
abstract RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
astratto int	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
estratto RewriterConfig.CpuLayout	getCpuLayoutConversione () CPU Conversion settings between NHCW and NCHW.
astratto int	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
abstract RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (indice int) list of CustomGraphOptimizers to apply.
astratto int	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Elenco astratto< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
abstract RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (indice int) list of CustomGraphOptimizers to apply.
Elenco astratto<? estende RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
abstract RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
astratto int	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
abstract RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
astratto int	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
booleano astratto	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
booleano astratto	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
booleano astratto	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
booleano astratto	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
abstract RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
astratto int	getFunctionOptimizationValue () Function optimizations (default is ON).
abstract RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
astratto int	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
estratto VerifierConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
abstract VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
abstract RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
astratto int	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
abstract RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
astratto int	getLoopOptimizationValue () Loop optimizations (default is ON).
astratto RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
astratto int	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
stringa astratta	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
astratto com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
abstract RewriterConfig.NumIterationsType	getMetaOptimizerIterazioni () Controls how many times we run the optimizers in meta optimizer (default is once).
astratto int	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
astratto lungo	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
astratto int	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
stringa astratta	getOptimizers (indice 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).
astratto com.google.protobuf.ByteString	getOptimizersBytes (indice 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).
astratto int	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
Elenco astratto<String>	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
abstract RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
astratto int	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
estratto VerifierConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstract VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
abstract RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
astratto int	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
abstract RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
astratto int	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
abstract ScopedAllocatorOptions	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstract ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
abstract RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
astratto int	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
booleano astratto	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
booleano astratto	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
booleano astratto	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
booleano astratto	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Costanti

public static final int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Valore costante: 7

public static final int AUTO_MIXED_PRECISION_FIELD_NUMBER

Valore costante: 23

public static final int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Valore costante: 25

public static final int AUTO_PARALLEL_FIELD_NUMBER

Valore costante: 5

public static final int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Valore costante: 24

public static final int CONSTANT_FOLDING_FIELD_NUMBER

Valore costante: 3

public static final int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Valore costante: 50

public static final int CUSTOM_OPTIMIZERS_FIELD_NUMBER

Valore costante: 200

public static final int DEBUG_STRIPPER_FIELD_NUMBER

Valore costante: 11

pubblico statico finale int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Valore costante: 8

public static final int DISABLE_META_OPTIMIZER_FIELD_NUMBER

Valore costante: 19

public static final int DISABLE_MODEL_PRUNING_FIELD_NUMBER

Valore costante: 2

public static final int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Valore costante: 26

public static final int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Valore costante: 21

public static final int FUNCTION_OPTIMIZATION_FIELD_NUMBER

Valore costante: 10

public static final int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Valore costante: 22

public static final int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Valore costante: 300

public static final int LAYOUT_OPTIMIZER_FIELD_NUMBER

Valore costante: 1

public static final int LOOP_OPTIMIZATION_FIELD_NUMBER

Valore costante: 9

public static final int MEMORY_OPTIMIZATION_FIELD_NUMBER

Valore costante: 4

public static final int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Valore costante: 6

pubblico statico finale int META_OPTIMIZER_ITERAZIONI_FIELD_NUMBER

Valore costante: 12

public static final int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Valore costante: 20

public static final int MIN_GRAPH_NODES_FIELD_NUMBER

Valore costante: 17

public static final int OPTIMIZERS_FIELD_NUMBER

Valore costante: 100

public static final int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Valore costante: 18

public static final int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Valore costante: 301

public static final int REMAPPING_FIELD_NUMBER

Valore costante: 14

public static final int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Valore costante: 15

public static final int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Valore costante: 16

public static final int SHAPE_OPTIMIZATION_FIELD_NUMBER

Valore costante: 13

Metodi pubblici

booleano pubblico è uguale a (Oggetto obj)

public RewriterConfig.Toggle getArithmeticOptimization ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

public int getArithmeticOptimizationValue ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

public RewriterConfig.Toggle getAutoMixedPrecision ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

public RewriterConfig.Toggle getAutoMixedPrecisionMkl ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionMklValue ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

public int getAutoMixedPrecisionValue ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

public AutoParallelOptions getAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

public RewriterConfig.Toggle getCommonSubgraphElimination ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

public int getCommonSubgraphEliminationValue ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

public RewriterConfig.Toggle getConstantFolding ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

public int getConstantFoldingValue ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

public RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

public RewriterConfig.CustomGraphOptimizer getCustomOptimizers (indice int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Elenco pubblico< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (indice int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Elenco pubblico<? estende RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Toggle getDebugStripper ()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public int getDebugStripperValue ()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

pubblico statico RewriterConfig getDefaultInstance ()

public RewriterConfig getDefaultInstanceForType ()

public RewriterConfig.Toggle getDependencyOptimization ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

public int getDependencyOptimizationValue ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

pubblico booleano getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

pubblico booleano getDisableModelPruning ()

 If true, don't remove unnecessary ops from the graph
 

bool disable_model_pruning = 2;

public booleano 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;

pubblico booleano getFailOnOptimizerErrors ()

 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error. By default - or when set to false, failing passes are
 skipped silently.
 

bool fail_on_optimizer_errors = 21;

public RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public int getImplementationSelectorValue ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

pubblico VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public RewriterConfig.Toggle getLayoutOptimizer ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public int getLayoutOptimizerValue ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

pubblico RewriterConfig.MemOptType getMemoryOptimization ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

public int getMemoryOptimizationValue ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

public String getMemoryOptimizerTargetNodeNameScope ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

public com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

public RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

public int getMetaOptimizerIterationsValue ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

pubblico lungo getMetaOptimizerTimeoutMs ()

 Maximum number of milliseconds to spend optimizing a single graph before
 timing out. If equal to 0 the system picks a default (currently 5 minutes).
 If less than 0 the optimizer will never time out.
 

int64 meta_optimizer_timeout_ms = 20;

public int getMinGraphNodes ()

 The minimum number of nodes in a graph to optimizer. For smaller graphs,
 optimization is skipped.
 0 means the system picks an appropriate number.
 < 0 means do not skip optimization.
 

int32 min_graph_nodes = 17;

public String getOptimizers (indice 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;

pubblico com.google.protobuf.ByteString getOptimizersBytes (indice int)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

public int getOptimizersCount ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

pubblico com.google.protobuf.ProtocolStringList getOptimizersList ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

pubblico getParserForType ()

public RewriterConfig.Toggle getPinToHostOptimization ()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public int getPinToHostOptimizationValue ()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public VerifierConfig getPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

public RewriterConfig.Toggle getRemapping ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

public int getRemappingValue ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

public RewriterConfig.Toggle getScopedAllocatorOptimization ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

public int getScopedAllocatorOptimizationValue ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

public ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int getSerializedSize ()

public RewriterConfig.Toggle getShapeOptimization ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

public int getShapeOptimizationValue ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()

pubblico booleano hasAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

pubblico booleano hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

pubblico booleano hasPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

booleano pubblico hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int hashCode ()

public final booleano isInitialized ()

pubblico statico RewriterConfig.Builder newBuilder ()

pubblico statico RewriterConfig.Builder newBuilder (prototipo RewriterConfig )

public RewriterConfig.Builder newBuilderForType ()

public static RewriterConfig parseDelimitedFrom (input InputStream)

Lancia

IOException

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

Lancia

IOException

parseFrom RewriterConfig statico pubblico (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

InvalidProtocolBufferException

parseFrom RewriterConfig statico pubblico (input com.google.protobuf.CodedInputStream)

Lancia

IOException

parseFrom RewriterConfig statico pubblico (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

InvalidProtocolBufferException

parseFrom RewriterConfig statico pubblico (dati ByteBuffer)

Lancia

InvalidProtocolBufferException

parseFrom RewriterConfig statico pubblico (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)

Lancia

IOException

parseFrom RewriterConfig statico pubblico (dati com.google.protobuf.ByteString)

Lancia

InvalidProtocolBufferException

parseFrom RewriterConfig statico pubblico (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

IOException

parseFrom RewriterConfig statico pubblico (dati com.google.protobuf.ByteString, estensione Com.google.protobuf.ExtensionRegistryLiteRegistry)

Lancia

InvalidProtocolBufferException

pubblico statico analizzatore ()

pubblico RewriterConfig.Builder toBuilder ()

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

Lancia

IOException