RewriterConfig

공개 최종 클래스 RewriterConfig

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

Protobuf 유형 tensorflow.RewriterConfig

중첩 클래스

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

상수

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

공개 방법

부울	같음 (객체 객체)
RewriterConfig.Toggle	getArithmeticOptimization () Arithmetic optimizations (default is ON) e.g.
정수	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).
정수	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
정수	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
자동 병렬 옵션	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.
정수	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.
정수	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.
정수	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (정수 인덱스) list of CustomGraphOptimizers to apply.
정수	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
목록< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (정수 인덱스) list of CustomGraphOptimizers to apply.
목록<? RewriterConfig.CustomGraphOptimizerOrBuilder 확장 >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
정수	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
정적 RewriterConfig	getDefaultInstance ()
RewriterConfig	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
정수	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
최종 정적 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
부울	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
부울	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
부울	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
부울	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
정수	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
정수	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
검증자 구성	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
검증자ConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
정수	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
정수	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
정수	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
끈	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).
정수	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
긴	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
정수	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
끈	getOptimizers (정수 인덱스) 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 (정수 인덱스) 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).
정수	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).
정수	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
검증자 구성	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
검증자ConfigOrBuilder	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.
정수	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).
정수	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
범위가 지정된 할당자 옵션	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
범위가 지정된 할당자OptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
정수	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
정수	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
최종 com.google.protobuf.UnknownFieldSet	getUnknownFields ()
부울	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
부울	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
부울	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
부울	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
정수	해시 코드 ()
최종 부울	초기화됨 ()
정적 RewriterConfig.Builder	새로운 빌더 ()
정적 RewriterConfig.Builder	newBuilder ( RewriterConfig 프로토타입)
RewriterConfig.Builder	newBuilderForType ()
정적 RewriterConfig	parsDelimitedFrom (InputStream 입력)
정적 RewriterConfig	parseDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RewriterConfig	ParseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RewriterConfig	ParseFrom (com.google.protobuf.CodedInputStream 입력)
정적 RewriterConfig	parseFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)
정적 RewriterConfig	parsFrom (ByteBuffer 데이터)
정적 RewriterConfig	ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RewriterConfig	ParseFrom (com.google.protobuf.ByteString 데이터)
정적 RewriterConfig	ParseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RewriterConfig	ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
공전	파서 ()
RewriterConfig.Builder	toBuilder ()
무효의	writeTo (com.google.protobuf.CodedOutputStream 출력)

상속된 메서드

java.lang.Object 클래스에서

부울	같음 (개체 arg0)
마지막 수업<?>	getClass ()
정수	해시 코드 ()
최종 무효	알림 ()
최종 무효	통지모두 ()
끈	toString ()
최종 무효	대기 (long arg0, int arg1)
최종 무효	기다리세요 (긴 arg0)
최종 무효	기다리다 ()

인터페이스 org.tensorflow.proto.framework.RewriterConfigOrBuilder 에서

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

상수

공개 정적 최종 int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

상수값: 7

공개 정적 최종 int AUTO_MIXED_PRECISION_FIELD_NUMBER

상수값: 23

공개 정적 최종 int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

상수값: 25

공개 정적 최종 int AUTO_PARALLEL_FIELD_NUMBER

상수값: 5

공개 정적 최종 int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

상수값: 24

공개 정적 최종 int CONSTANT_FOLDING_FIELD_NUMBER

상수값: 3

공개 정적 최종 int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

상수값: 50

공개 정적 최종 int CUSTOM_OPTIMIZERS_FIELD_NUMBER

상수값: 200

공개 정적 최종 int DEBUG_STRIPPER_FIELD_NUMBER

상수값: 11

공개 정적 최종 int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

상수값: 8

공개 정적 최종 int DISABLE_META_OPTIMIZER_FIELD_NUMBER

상수값: 19

공개 정적 최종 int DISABLE_MODEL_PRUNING_FIELD_NUMBER

상수값: 2

공개 정적 최종 int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

상수값: 26

공개 정적 최종 int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

상수값: 21

공개 정적 최종 int FUNCTION_OPTIMIZATION_FIELD_NUMBER

상수값: 10

공개 정적 최종 int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

상수값: 22

공개 정적 최종 int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

상수값: 300

공개 정적 최종 int LAYOUT_OPTIMIZER_FIELD_NUMBER

상수값: 1

공개 정적 최종 int LOOP_OPTIMIZATION_FIELD_NUMBER

상수값: 9

공개 정적 최종 int MEMORY_OPTIMIZATION_FIELD_NUMBER

상수값: 4

공개 정적 최종 int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

상수값: 6

공개 정적 최종 int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

상수값: 12

공개 정적 최종 int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

상수값: 20

공개 정적 최종 int MIN_GRAPH_NODES_FIELD_NUMBER

상수값: 17

공개 정적 최종 int OPTIMIZERS_FIELD_NUMBER

상수값: 100

공개 정적 최종 int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

상수값: 18

공개 정적 최종 int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

상수값: 301

공개 정적 최종 int REMAPPING_FIELD_NUMBER

상수값: 14

공개 정적 최종 int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

상수값: 15

공개 정적 최종 int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

상수값: 16

공개 정적 최종 int SHAPE_OPTIMIZATION_FIELD_NUMBER

상수값: 13

공개 방법

공개 부울 은 (객체 obj)와 같습니다 .

공개 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;

공개 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;

공개 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;

공개 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;

공개 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;

공개 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;

공개 AutoParallelOptions getAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

공개 AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

공개 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;

공개 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;

공개 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;

공개 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;

공개 RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

공개 int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

공개 RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int 인덱스)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

공개 int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

공개 목록< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

공개 RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int 인덱스)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

공개 목록<? RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()를 확장합니다.

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

공개 RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

공개 int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

공개 정적 RewriterConfig getDefaultInstance ()

공개 RewriterConfig getDefaultInstanceForType ()

공개 RewriterConfig.Toggle getDependencyOptimization ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

공개 int getDependencyOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

공개 부울 getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

공개 부울 getDisableModelPruning ()

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

bool disable_model_pruning = 2;

공개 부울 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;

공개 부울 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;

공개 RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

공개 int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

공개 RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

공개 int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

공개 VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

공개 VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

공개 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;

공개 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;

공개 RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

공개 int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

공개 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;

공개 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;

공개 문자열 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;

공개 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;

공개 RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

공개 int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

공개 긴 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;

공개 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;

공개 문자열 getOptimizers (int 인덱스)

 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;

공개 com.google.protobuf.ByteString getOptimizersBytes (int 인덱스)

 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;

공개 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;

공개 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;

공공의 getParserForType ()

공개 RewriterConfig.Toggle getPinToHostOptimization ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

공개 int getPinToHostOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

공개 VerifierConfig getPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

공개 VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

공개 RewriterConfig.Toggle getRemapping ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

공개 int getRemappingValue ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

공개 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;

공개 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;

공개 ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

공개 ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

공개 int getSerializedSize ()

공개 RewriterConfig.Toggle getShapeOptimization ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

공개 int getShapeOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

공개 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()

공개 부울 hasAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

공개 부울 hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

공개 부울 hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

공개 부울 hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

공개 int hashCode ()

공개 최종 부울 isInitialized ()

공개 정적 RewriterConfig.Builder newBuilder ()

공개 정적 RewriterConfig.Builder newBuilder ( RewriterConfig 프로토타입)

공개 RewriterConfig.Builder newBuilderForType ()

공개 정적 RewriterConfig parsDelimitedFrom (InputStream 입력)

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공개 정적 RewriterConfigparseDelimitedFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 RewriterConfig parsFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 RewriterConfig parsFrom (com.google.protobuf.CodedInputStream 입력)

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공개 정적 RewriterConfig parsFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 RewriterConfig parsFrom (ByteBuffer 데이터)

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공개 정적 RewriterConfig parsFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 RewriterConfig parsFrom (com.google.protobuf.ByteString 데이터)

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공개 정적 RewriterConfig parsFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 RewriterConfig parseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 파서 ()

공개 RewriterConfig.Builder toBuilder ()

공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)

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