RewriterConfig

publiczna klasa końcowa RewriterConfig

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

Protobuf typu tensorflow.RewriterConfig

Klasy zagnieżdżone

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

Stałe

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

Metody publiczne

wartość logiczna	równa się (obiekt obiektu)
RewriterConfig.Przełącz	getArithmeticOptymalizacja () Arithmetic optimizations (default is ON) e.g.
wew	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Przełącz	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
RewriterConfig.Przełącz	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
wew	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
wew	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Opcje AutoParallel	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
Opcje AutoParallelOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Przełącz	getCommonSubgraphEliminacja () Common subgraph elimination (default is ON) e.g.
wew	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
RewriterConfig.Przełącz	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
wew	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
wew	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (indeks int) list of CustomGraphOptimizers to apply.
wew	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Lista< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (indeks int) list of CustomGraphOptimizers to apply.
Lista<? rozszerza RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Przełącz	getDebugStripper () Strips debug-related nodes from the graph (off by default).
wew	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
statyczna konfiguracja programu Rewriter	pobierz instancję domyślną ()
Konfiguracja przepisywania	getDefaultInstanceForType ()
RewriterConfig.Przełącz	getDependencyOptimization () Control dependency optimizations (default is ON).
wew	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
końcowy statyczny com.google.protobuf.Descriptors.Descriptor	pobierzDescriptor ()
wartość logiczna	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
wartość logiczna	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
wartość logiczna	getExperimentalDisableCompressedTensorOptymalizacja () Disable optimizations that assume compressed tensors.
wartość logiczna	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Przełącz	getFunctionOptymalizacja () Function optimizations (default is ON).
wew	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Przełącz	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
wew	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
Konfiguracja weryfikatora	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Przełącz	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
wew	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Przełącz	getLoopOptymalizacja () Loop optimizations (default is ON).
wew	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptymalizacja () Configures memory optimization passes through the meta-optimizer.
wew	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
Smyczkowy	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
wew	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
długi	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
wew	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
Smyczkowy	getOptimizers (indeks int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ByteString	getOptimizersBytes (indeks int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
wew	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ProtocolStringList	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
	getParserForType ()
RewriterConfig.Przełącz	getPinToHostOptymalizacja () Force small ops onto the CPU (default is OFF).
wew	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
Konfiguracja weryfikatora	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Przełącz	getRemapowanie () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
wew	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Przełącz	getScopedAllocatorOptymalizacja () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
wew	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Opcje alokatora o określonym zakresie	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
wew	getSerializedSize ()
RewriterConfig.Przełącz	getShapeOptymalizacja () Shape optimizations (default is ON) Simplify computations made on shapes.
wew	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
końcowy com.google.protobuf.UnknownFieldSet	getUnknownFields ()
wartość logiczna	maAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
wartość logiczna	maInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
wartość logiczna	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
wartość logiczna	maScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
wew	hashCode ()
końcowa wartość logiczna	jest zainicjowany ()
statyczny RewriterConfig.Builder	nowyKonstruktor ()
statyczny RewriterConfig.Builder	newBuilder (prototyp RewriterConfig )
RewriterConfig.Builder	nowyBuilderForType ()
statyczna konfiguracja programu Rewriter	parseDelimitedFrom (wejście strumienia wejściowego)
statyczna konfiguracja programu Rewriter	parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczna konfiguracja programu Rewriter	parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczna konfiguracja programu Rewriter	parseFrom (wejście com.google.protobuf.CodedInputStream)
statyczna konfiguracja programu Rewriter	parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
statyczna konfiguracja programu Rewriter	parseFrom (dane ByteBuffer)
statyczna konfiguracja programu Rewriter	parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczna konfiguracja programu Rewriter	parseFrom (dane com.google.protobuf.ByteString)
statyczna konfiguracja programu Rewriter	parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczna konfiguracja programu Rewriter	parseFrom (dane com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczny	parser ()
RewriterConfig.Builder	do konstruktora ()
próżnia	writeTo (wyjście com.google.protobuf.CodedOutputStream)

Metody dziedziczone

Z klasy java.lang.Object

wartość logiczna	równa się (Obiekt arg0)
ostatnia klasa<?>	pobierzKlasę ()
wew	hashCode ()
ostateczna pustka	powiadomić ()
ostateczna pustka	powiadom wszystkich ()
Smyczkowy	doString ()
ostateczna pustka	czekaj (długi arg0, int arg1)
ostateczna pustka	czekaj (długi arg0)
ostateczna pustka	Czekać ()

Z interfejsu org.tensorflow.proto.framework.RewriterConfigOrBuilder

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

Stałe

publiczny statyczny końcowy int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 7

publiczny statyczny końcowy int AUTO_MIXED_PRECISION_FIELD_NUMBER

Wartość stała: 23

publiczny statyczny końcowy int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Wartość stała: 25

publiczny statyczny końcowy int AUTO_PARALLEL_FIELD_NUMBER

Wartość stała: 5

publiczny statyczny końcowy int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Wartość stała: 24

publiczny statyczny końcowy int CONSTANT_FOLDING_FIELD_NUMBER

Wartość stała: 3

publiczny statyczny końcowy int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Wartość stała: 50

publiczny statyczny końcowy int CUSTOM_OPTIMIZERS_FIELD_NUMBER

Wartość stała: 200

publiczny statyczny końcowy int DEBUG_STRIPPER_FIELD_NUMBER

Wartość stała: 11

publiczny statyczny końcowy int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 8

publiczny statyczny końcowy int DISABLE_META_OPTIMIZER_FIELD_NUMBER

Wartość stała: 19

publiczny statyczny końcowy int DISABLE_MODEL_PRUNING_FIELD_NUMBER

Wartość stała: 2

publiczny statyczny końcowy int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 26

publiczny statyczny końcowy int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Wartość stała: 21

publiczny statyczny końcowy int FUNCTION_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 10

publiczny statyczny końcowy int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Wartość stała: 22

publiczny statyczny końcowy int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Wartość stała: 300

publiczny statyczny końcowy int LAYOUT_OPTIMIZER_FIELD_NUMBER

Wartość stała: 1

publiczny statyczny końcowy int LOOP_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 9

publiczny statyczny końcowy int MEMORY_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 4

publiczny statyczny końcowy int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Wartość stała: 6

publiczny statyczny końcowy int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

Wartość stała: 12

publiczny statyczny końcowy int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Wartość stała: 20

publiczny statyczny końcowy int MIN_GRAPH_NODES_FIELD_NUMBER

Wartość stała: 17

publiczny statyczny końcowy int OPTIMIZERS_FIELD_NUMBER

Wartość stała: 100

publiczny statyczny końcowy int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 18

publiczny statyczny końcowy int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Wartość stała: 301

publiczny statyczny końcowy int REMAPPING_FIELD_NUMBER

Wartość stała: 14

publiczny statyczny końcowy int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 15

publiczny statyczny końcowy int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Wartość stała: 16

publiczny statyczny końcowy int SHAPE_OPTIMIZATION_FIELD_NUMBER

Wartość stała: 13

Metody publiczne

publiczna wartość logiczna równa się (obiekt obiektu)

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 (indeks 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;

public List< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (indeks int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

lista publiczna<? rozszerza RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

public RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

public static 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 ()

publiczna wartość logiczna getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

publiczna wartość logiczna getDisableModelPruning ()

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

bool disable_model_pruning = 2;

publiczna wartość logiczna getExperimentalDisableCompressedTensorOptimization ()

 Disable optimizations that assume compressed tensors. Note that this flag
 is experimental and may be removed in the future.
 

bool experimental_disable_compressed_tensor_optimization = 26;

publiczna wartość logiczna getFailOnOptimizerErrors ()

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

bool fail_on_optimizer_errors = 21;

public RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

public RewriterConfig.Toggle getLayoutOptimizer ()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public int getLayoutOptimizerValue ()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

public RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public RewriterConfig.MemOptType getMemoryOptimization ()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

public int getMemoryOptimizationValue ()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

public String getMemoryOptimizerTargetNodeNameScope ()

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

string memory_optimizer_target_node_name_scope = 6;

public com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes ()

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

string memory_optimizer_target_node_name_scope = 6;

public RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

public int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

publiczny długi getMetaOptimizerTimeoutMs ()

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

int64 meta_optimizer_timeout_ms = 20;

publiczny int getMinGraphNodes ()

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

int32 min_graph_nodes = 17;

public String getOptimizers (indeks int)

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

repeated string optimizers = 100;

public com.google.protobuf.ByteString getOptimizersBytes (indeks int)

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

repeated string optimizers = 100;

public int getOptimizersCount ()

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

repeated string optimizers = 100;

public com.google.protobuf.ProtocolStringList getOptimizersList ()

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

repeated string optimizers = 100;

publiczny 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;

publiczny 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;

publiczny finał com.google.protobuf.UnknownFieldSet getUnknownFields ()

publiczna wartość logiczna maAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

publiczna wartość logiczna maInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

publiczna wartość logiczna hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

publiczna wartość logiczna hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

publiczny int hashCode ()

publiczna końcowa wartość logiczna isInitialized ()

publiczny statyczny RewriterConfig.Builder newBuilder ()

public static RewriterConfig.Builder newBuilder (prototyp RewriterConfig )

public RewriterConfig.Builder newBuilderForType ()

public static RewriterConfig parseDelimitedFrom (wejście strumienia wejściowego)

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Wyjątek IO

public static RewriterConfig parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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public static RewriterConfig parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Nieprawidłowy wyjątekProtocolBufferException

public static RewriterConfig parseFrom (wejście com.google.protobuf.CodedInputStream)

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Wyjątek IO

public static RewriterConfig parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

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Nieprawidłowy wyjątekProtocolBufferException

public static RewriterConfig parseFrom (dane ByteBuffer)

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Nieprawidłowy wyjątekProtocolBufferException

public static RewriterConfig parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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public static RewriterConfig parseFrom (dane com.google.protobuf.ByteString)

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Nieprawidłowy wyjątekProtocolBufferException

public static RewriterConfig parseFrom (dane wejściowe wejściowe, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Wyjątek IO

public static RewriterConfig parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Nieprawidłowy wyjątekProtocolBufferException

publiczna statyka parser ()

public RewriterConfig.Builder toBuilder ()

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

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Wyjątek IO