RewriterConfig

کلاس نهایی عمومی RewriterConfig

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

نوع Protobuf tensorflow.RewriterConfig

کلاس های تو در تو

کلاس	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.
کلاس	RewriterConfig.CustomGraphOptimizer		Message to describe custom graph optimizer and its parameters نوع Protobuf tensorflow.RewriterConfig.CustomGraphOptimizer
رابط	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

ثابت ها

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

روش های عمومی

بولی	برابر است (object obj)
RewriterConfig.Toggle	getArithmetic Optimization () Arithmetic optimizations (default is ON) e.g.
بین المللی	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
بین المللی	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
بین المللی	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
AutoParallelOptions	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
بین المللی	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
بین المللی	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
بین المللی	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (شاخص int) list of CustomGraphOptimizers to apply.
بین المللی	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
List< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (شاخص int) list of CustomGraphOptimizers to apply.
لیست<? RewriterConfig.CustomGraphOptimizerOrBuilder > را گسترش می دهد	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
بین المللی	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
Static RewriterConfig	getDefaultInstance ()
RewriterConfig	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
بین المللی	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
نهایی static com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
بولی	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
بولی	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
بولی	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
بولی	خطاهای getFailOnOptimizer () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
بین المللی	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
بین المللی	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
VerifierConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
بین المللی	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
بین المللی	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
بین المللی	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
رشته	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
بین المللی	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
طولانی	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
بین المللی	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
رشته	getOptimizers (int index) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ByteString	getOptimizersBytes (شاخص int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
بین المللی	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ProtocolStringList	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
	getParserForType ()
RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
بین المللی	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
VerifierConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
بین المللی	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
بین المللی	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
ScopedAllocatorOptions	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
بین المللی	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
بین المللی	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
com.google.protobuf.UnknownFieldSet نهایی	getUnknownFields ()
بولی	دارای موازی خودکار () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
بولی	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
بولی	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
بولی	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
بین المللی	هش کد ()
بولی نهایی	اولیه شده است ()
استاتیک RewriterConfig.Builder	newBuilder ()
استاتیک RewriterConfig.Builder	newBuilder (نمونه اولیه RewriterConfig )
RewriterConfig.Builder	newBuilderForType ()
Static RewriterConfig	parseDelimitedFrom (ورودی جریان ورودی)
Static RewriterConfig	parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static RewriterConfig	parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static RewriterConfig	parseFrom (ورودی com.google.protobuf.CodedInputStream)
Static RewriterConfig	parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static RewriterConfig	parseFrom (داده های ByteBuffer)
Static RewriterConfig	parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static RewriterConfig	parseFrom (داده های com.google.protobuf.ByteString)
Static RewriterConfig	parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static RewriterConfig	parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ایستا	تجزیه کننده ()
RewriterConfig.Builder	toBuilder ()
باطل	writeTo (خروجی com.google.protobuf.CodedOutputStream)

روش های ارثی

از کلاس java.lang.Object

بولی	برابر است (شیء arg0)
کلاس نهایی<?>	getClass ()
بین المللی	هش کد ()
باطل نهایی	اطلاع رسانی ()
باطل نهایی	اطلاع رسانی به همه ()
رشته	toString ()
باطل نهایی	صبر کنید (long arg0، int arg1)
باطل نهایی	صبر کنید (طولانی arg0)
باطل نهایی	صبر کن ()

از رابط org.tensorflow.proto.framework.RewriterConfigOrBuilder

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

ثابت ها

نهایی استاتیک عمومی ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

ارزش ثابت: 7

نهایی استاتیک عمومی AUTO_MIXED_PRECISION_FIELD_NUMBER

مقدار ثابت: 23

نهایی استاتیک عمومی AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

ارزش ثابت: 25

نهایی استاتیک عمومی AUTO_PARALLEL_FIELD_NUMBER

ارزش ثابت: 5

نهایی استاتیک عمومی COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

مقدار ثابت: 24

نهایی استاتیک عمومی CONSTANT_FOLDING_FIELD_NUMBER

مقدار ثابت: 3

نهایی استاتیک عمومی CPU_LAYOUT_CONVERSION_FIELD_NUMBER

ارزش ثابت: 50

نهایی استاتیک عمومی CUSTOM_OPTIMIZERS_FIELD_NUMBER

ارزش ثابت: 200

نهایی استاتیک عمومی DEBUG_STRIPPER_FIELD_NUMBER

مقدار ثابت: 11

نهایی استاتیک عمومی DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

مقدار ثابت: 8

نهایی استاتیک عمومی DISABLE_META_OPTIMIZER_FIELD_NUMBER

ارزش ثابت: 19

نهایی استاتیک عمومی DISABLE_MODEL_PRUNING_FIELD_NUMBER

مقدار ثابت: 2

نهایی استاتیک عمومی EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

مقدار ثابت: 26

نهایی استاتیک عمومی FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

مقدار ثابت: 21

نهایی استاتیک عمومی FUNCTION_OPTIMIZATION_FIELD_NUMBER

ارزش ثابت: 10

نهایی استاتیک عمومی IMPLEMENTATION_SELECTOR_FIELD_NUMBER

مقدار ثابت: 22

نهایی استاتیک عمومی INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

ارزش ثابت: 300

نهایی استاتیک عمومی LAYOUT_OPTIMIZER_FIELD_NUMBER

ارزش ثابت: 1

نهایی استاتیک عمومی LOOP_OPTIMIZATION_FIELD_NUMBER

مقدار ثابت: 9

نهایی استاتیک عمومی MEMORY_OPTIMIZATION_FIELD_NUMBER

ارزش ثابت: 4

نهایی استاتیک عمومی MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

مقدار ثابت: 6

نهایی استاتیک عمومی META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

ارزش ثابت: 12

نهایی استاتیک عمومی META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

ارزش ثابت: 20

نهایی استاتیک عمومی MIN_GRAPH_NODES_FIELD_NUMBER

ارزش ثابت: 17

نهایی استاتیک عمومی OPTIMIZERS_FIELD_NUMBER

ارزش ثابت: 100

PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 18

نهایی استاتیک عمومی POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

مقدار ثابت: 301

نهایی استاتیک عمومی REMAPPING_FIELD_NUMBER

ارزش ثابت: 14

نهایی استاتیک عمومی SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

ارزش ثابت: 15

نهایی استاتیک عمومی SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

ارزش ثابت: 16

نهایی استاتیک عمومی SHAPE_OPTIMIZATION_FIELD_NUMBER

ارزش ثابت: 13

روش های عمومی

بولین عمومی برابر است (Object 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;

عمومی int getAutoMixedPrecisionMklValue ()

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

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

عمومی int getAutoMixedPrecisionValue ()

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

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

عمومی AutoParallelOptions getAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

عمومی AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

public RewriterConfig.Toggle getCommonSubgraphElimination ()

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

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

عمومی int getCommonSubgraphEliminationValue ()

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

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

عمومی RewriterConfig.Toggle getConstantFolding ()

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

عمومی int getConstantFoldingValue ()

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

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

عمومی RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

عمومی int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

عمومی RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int index)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

عمومی int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

فهرست عمومی < RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

عمومی RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (شاخص int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

لیست عمومی<? گسترش RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

عمومی RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

عمومی int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

عمومی static RewriterConfig getDefaultInstance ()

public RewriterConfig getDefaultInstanceForType ()

عمومی RewriterConfig.Toggle getDependencyOptimization ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

public int getDependencyOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

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

بولی عمومی getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

بولین عمومی getDisableModelPruning ()

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

bool disable_model_pruning = 2;

بولی عمومی getExperimentalDisableCompressedTensorOptimization ()

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

bool experimental_disable_compressed_tensor_optimization = 26;

خطاهای بولی عمومی getFailOnOptimizer ()

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

bool fail_on_optimizer_errors = 21;

عمومی RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

عمومی VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

عمومی VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

عمومی RewriterConfig.Toggle getLayoutOptimizer ()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

عمومی int getLayoutOptimizerValue ()

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

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

عمومی RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

عمومی int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

public RewriterConfig.MemOptType getMemoryOptimization ()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

عمومی int getMemoryOptimizationValue ()

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

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

رشته عمومی getMemoryOptimizerTargetNodeNameScope ()

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

string memory_optimizer_target_node_name_scope = 6;

عمومی com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes ()

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

string memory_optimizer_target_node_name_scope = 6;

public RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

عمومی int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

عمومی طولانی getMetaOptimizerTimeoutMs ()

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

int64 meta_optimizer_timeout_ms = 20;

public int getMinGraphNodes ()

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

int32 min_graph_nodes = 17;

getOptimizers رشته عمومی (int index)

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

repeated string optimizers = 100;

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

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

repeated string optimizers = 100;

public int getOptimizersCount ()

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

repeated string optimizers = 100;

عمومی com.google.protobuf.ProtocolStringList getOptimizersList ()

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

repeated string optimizers = 100;

عمومی 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;

عمومی VerifierConfig getPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

عمومی 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;

عمومی int getRemappingValue ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

public RewriterConfig.Toggle getScopedAllocatorOptimization ()

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

عمومی int getScopedAllocatorOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

عمومی ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

عمومی ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

عمومی int getSerializedSize ()

عمومی RewriterConfig.Toggle getShapeOptimization ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

عمومی int getShapeOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()

بولی عمومی hasAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

بولی عمومی hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

بولی عمومی hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

بولی عمومی hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

هش کد عمومی ()

بولین نهایی عمومی isInitialized ()

عمومی استاتیک RewriterConfig.Builder newBuilder ()

عمومی استاتیک RewriterConfig.Builder newBuilder (نمونه اولیه RewriterConfig )

عمومی RewriterConfig.Builder newBuilderForType ()

عمومی static RewriterConfig parseDelimitedFrom (ورودی جریان ورودی)

پرتاب می کند

IOException

عمومی static RewriterConfig parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

عمومی static RewriterConfig parseFrom (داده های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

InvalidProtocolBufferException

عمومی static RewriterConfig parseFrom (ورودی com.google.protobuf.CodedInputStream)

پرتاب می کند

IOException

عمومی static RewriterConfig parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

InvalidProtocolBufferException

عمومی static RewriterConfig parseFrom (داده ByteBuffer)

پرتاب می کند

InvalidProtocolBufferException

عمومی static RewriterConfig parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

عمومی static RewriterConfig parseFrom (داده های com.google.protobuf.ByteString)

پرتاب می کند

InvalidProtocolBufferException

عمومی static RewriterConfig parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

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

پرتاب می کند

InvalidProtocolBufferException

استاتیک عمومی تجزیه کننده ()

عمومی RewriterConfig.Builder toBuilder ()

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

پرتاب می کند

IOException