RewriterConfig

RewriterConfig للفصل النهائي العام

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

فئات متداخلة

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

الثوابت

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

الأساليب العامة

منطقية
يساوي (كائن كائن)
RewriterConfig.Toggle
الحصول على التحسين الحسابي ()
 Arithmetic optimizations (default is ON)
 e.g.
كثافة العمليات
الحصول على قيمة التحسين الحسابي ()
 Arithmetic optimizations (default is ON)
 e.g.
RewriterConfig.Toggle
الحصول على AutoMixedPrecision ()
 Optimize data types for CUDA (default is OFF).
RewriterConfig.Toggle
الحصول على AutoMixedPrecisionMkl ()
 Optimize data types for MKL (default is OFF).
كثافة العمليات
الحصول على AutoMixedPrecisionMklValue ()
 Optimize data types for MKL (default is OFF).
كثافة العمليات
الحصول على AutoMixedPrecisionValue ()
 Optimize data types for CUDA (default is OFF).
خيارات التوازي التلقائي
الحصول على AutoParallel ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptionsOrBuilder
الحصول على AutoParallelOrBuilder ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Toggle
getCommonSubgraphElivation ()
 Common subgraph elimination (default is ON)
 e.g.
كثافة العمليات
getCommonSubgraphElivationValue ()
 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.
كثافة العمليات
getConstantFoldingValue ()
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
RewriterConfig.CpuLayout
الحصول على CpuLayoutConversion ()
 CPU Conversion settings between NHCW and NCHW.
كثافة العمليات
getCpuLayoutConversionValue ()
 CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer
getCustomOptimizers (فهرس كثافة العمليات)
 list of CustomGraphOptimizers to apply.
كثافة العمليات
الحصول علىCustomOptimizersCount ()
 list of CustomGraphOptimizers to apply.
القائمة< RewriterConfig.CustomGraphOptimizer >
قائمة getCustomOptimizers ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder
getCustomOptimizersOrBuilder (فهرس كثافة العمليات)
 list of CustomGraphOptimizers to apply.
القائمة<؟ يمتد RewriterConfig.CustomGraphOptimizerOrBuilder >
getCustomOptimizersOrBuilderList ()
 list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle
الحصول على DebugStripper ()
 Strips debug-related nodes from the graph (off by default).
كثافة العمليات
getDebugStripperValue ()
 Strips debug-related nodes from the graph (off by default).
تكوين إعادة الكتابة الثابت
إعادة كتابة التكوين
RewriterConfig.Toggle
الحصول على التبعية ()
 Control dependency optimizations (default is ON).
كثافة العمليات
الحصول على قيمة التبعية ()
 Control dependency optimizations (default is ON).
النهائي الثابت com.google.protobuf.Descriptors.Descriptor
منطقية
الحصول على DisableMetaOptimizer ()
 Disable the entire meta optimizer (off by default).
منطقية
getDisableModelPruning ()
 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;
منطقية
getExperimentalDisableCompressedTensorOptimization ()
 Disable optimizations that assume compressed tensors.
منطقية
getFailOnOptimizerErrors ()
 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error.
RewriterConfig.Toggle
الحصول على الوظيفة الأمثل ()
 Function optimizations (default is ON).
كثافة العمليات
getFunctionOptimizationValue ()
 Function optimizations (default is ON).
RewriterConfig.Toggle
GetImplementationSelector ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
كثافة العمليات
الحصول علىImplementationSelectorValue ()
 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
الحصول على LayoutOptimizer ()
 Optimize tensor layouts (default is ON)
 e.g.
كثافة العمليات
الحصول على LayoutOptimizerValue ()
 Optimize tensor layouts (default is ON)
 e.g.
RewriterConfig.Toggle
الحصول على LoopOptimization ()
 Loop optimizations (default is ON).
كثافة العمليات
getLoopOptimizationValue ()
 Loop optimizations (default is ON).
RewriterConfig.MemOptType
تحسين الذاكرة ()
 Configures memory optimization passes through the meta-optimizer.
كثافة العمليات
الحصول على قيمة الذاكرة الأمثل ()
 Configures memory optimization passes through the meta-optimizer.
خيط
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
الحصول على MetaOptimizerIterations ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
كثافة العمليات
getMetaOptimizerIterationsValue ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
طويل
getMetaOptimizerTimeoutMs ()
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
كثافة العمليات
getMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
خيط
الحصول على أوبتيمايزر (فهرس كثافة العمليات)
 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 (فهرس كثافة العمليات)
 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).
كثافة العمليات
الحصول على أوبتيمايزركونت ()
 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
قائمة الحصول على أوبتيمايزر ()
 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).
RewriterConfig.Toggle
getPinToHostOptimization ()
 Force small ops onto the CPU (default is OFF).
كثافة العمليات
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
الحصول على إعادة رسم الخرائط ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
كثافة العمليات
الحصول على قيمة إعادة التعيين ()
 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).
كثافة العمليات
getScopedAllocatorOptimizationValue ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
خيارات ScopedAllocator
getScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder
getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
كثافة العمليات
RewriterConfig.Toggle
الحصول على الشكل الأمثل ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
كثافة العمليات
الحصول على قيمة الشكل الأمثل ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
النهائي com.google.protobuf.UnknownFieldSet
منطقية
لديهAutoParallel ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
منطقية
hasInterOptimizerVerifierConfig ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
منطقية
hasPostOptimizationVerifierConfig ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
منطقية
hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
كثافة العمليات
منطقية نهائية
ثابت RewriterConfig.Builder
ثابت RewriterConfig.Builder
newBuilder (النموذج الأولي لـ RewriterConfig )
RewriterConfig.Builder
تكوين إعادة الكتابة الثابت
parseDelimitedFrom (إدخال InputStream)
تكوين إعادة الكتابة الثابت
parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
تكوين إعادة الكتابة الثابت
parseFrom (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
تكوين إعادة الكتابة الثابت
parseFrom (com.google.protobuf.CodedInputStream الإدخال)
تكوين إعادة الكتابة الثابت
parseFrom (بيانات البايت[]، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
تكوين إعادة الكتابة الثابت
parseFrom (بيانات ByteBuffer)
تكوين إعادة الكتابة الثابت
parseFrom (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
تكوين إعادة الكتابة الثابت
parseFrom (بيانات com.google.protobuf.ByteString)
تكوين إعادة الكتابة الثابت
parseFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
تكوين إعادة الكتابة الثابت
parseFrom (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ثابتة
RewriterConfig.Builder
فارغ
writeTo (com.google.protobuf.CodedOutputStream الإخراج)

الطرق الموروثة

الثوابت

العدد النهائي الثابت العام ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 7

العدد النهائي الثابت العام AUTO_MIXED_PRECISION_FIELD_NUMBER

القيمة الثابتة: 23

العدد النهائي الثابت العام AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

القيمة الثابتة: 25

العدد النهائي الثابت العام AUTO_PARALLEL_FIELD_NUMBER

القيمة الثابتة: 5

العدد النهائي الثابت العام COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

القيمة الثابتة: 24

العدد النهائي الثابت العام CONSTANT_FOLDING_FIELD_NUMBER

القيمة الثابتة: 3

عدد العمليات النهائية الثابتة العامة CPU_LAYOUT_CONVERSION_FIELD_NUMBER

القيمة الثابتة: 50

العدد النهائي الثابت العام CUSTOM_OPTIMIZERS_FIELD_NUMBER

القيمة الثابتة: 200

العدد النهائي الثابت العام DEBUG_STRIPPER_FIELD_NUMBER

القيمة الثابتة: 11

العدد النهائي الثابت العام DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 8

العدد النهائي الثابت العام DISABLE_META_OPTIMIZER_FIELD_NUMBER

القيمة الثابتة: 19

العدد النهائي الثابت العام DISABLE_MODEL_PRUNING_FIELD_NUMBER

القيمة الثابتة: 2

العدد النهائي الثابت العام EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 26

العدد النهائي الثابت العام FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

القيمة الثابتة: 21

int النهائي الثابت العام FUNCTION_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 10

العدد النهائي الثابت العام IMPLEMENTATION_SELECTOR_FIELD_NUMBER

القيمة الثابتة: 22

العدد النهائي الثابت العام INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

القيمة الثابتة: 300

العدد النهائي الثابت العام LAYOUT_OPTIMIZER_FIELD_NUMBER

القيمة الثابتة: 1

العدد النهائي الثابت العام LOOP_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 9

العدد النهائي الثابت العام MEMORY_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 4

العدد النهائي الثابت العام MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

القيمة الثابتة: 6

العدد النهائي الثابت العام META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

القيمة الثابتة: 12

العدد النهائي الثابت العام META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

القيمة الثابتة: 20

العدد النهائي الثابت العام MIN_GRAPH_NODES_FIELD_NUMBER

القيمة الثابتة: 17

العدد النهائي الثابت العام OPTIMIZERS_FIELD_NUMBER

القيمة الثابتة: 100

الرقم النهائي الثابت العام PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 18

العدد النهائي الثابت العام POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

القيمة الثابتة: 301

العدد النهائي الثابت العام REMAPPING_FIELD_NUMBER

القيمة الثابتة: 14

العدد النهائي الثابت العام SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 15

العدد النهائي الثابت العام SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

القيمة الثابتة: 16

العدد النهائي الثابت العام SHAPE_OPTIMIZATION_FIELD_NUMBER

القيمة الثابتة: 13

الأساليب العامة

القيمة المنطقية العامة تساوي (Object obj)

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;

int public getArithmeticOptimizationValue ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

RewriterConfig.Toggle public 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;

RewriterConfig.Toggle public getAutoMixedPrecisionMkl ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 
.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

int العام getAutoMixedPrecisionMklValue ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 
.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

int العام 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;

خيارات AutoParallel العامة getAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

AutoParallelOptionsOrBuilder العامة getAutoParallelOrBuilder ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

RewriterConfig.Toggle public getCommonSubgraphElivation ()

 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;

int العام getCommonSubgraphElivationValue ()

 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;

RewriterConfig.Toggle getConstantFolding ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 
.tensorflow.RewriterConfig.Toggle constant_folding = 3;

int العام 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;

RewriterConfig.CpuLayout العامة getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

int public getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 
.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

RewriterConfig.CustomGraphOptimizer العامة getCustomOptimizers (مؤشر int)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

int العام getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

القائمة العامة< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

RewriterConfig.CustomGraphOptimizerOrBuilder العامة getCustomOptimizersOrBuilder (فهرس كثافة العمليات)

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

القائمة العامة <؟ يمتد RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

RewriterConfig.Toggle getDebugStripper ()

 Strips debug-related nodes from the graph (off by default).
 
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

int public getDebugStripperValue ()

 Strips debug-related nodes from the graph (off by default).
 
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

GetDefaultInstance () RewriterConfig الثابت العام

RewriterConfig العامة getDefaultInstanceForType ()

RewriterConfig.Toggle getDependencyOptimization ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

int public getDependencyOptimizationValue ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

النهائي العام الثابت com.google.protobuf.Descriptors.Descriptor getDescriptor ()

getDisableMetaOptimizer () المنطقي العام

 Disable the entire meta optimizer (off by default).
 
bool disable_meta_optimizer = 19;

getDisableModelPruning () المنطقية العامة

 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;

الحصول على القيمة المنطقية العامة ExperimentalDisableCompressedTensorOptimization ()

 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;

getFailOnOptimizerErrors () المنطقية العامة

 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;

RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle function_optimization = 10;

int public getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle function_optimization = 10;

RewriterConfig.Toggle getImplementationSelector ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

int public getImplementationSelectorValue ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 
.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

تكوين التحقق العام getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

التحقق العام ConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

RewriterConfig.Toggle getLayoutOptimizer ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

int public 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;

RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

int public getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

RewriterConfig.MemOptType العامة 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;

int public 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;

سلسلة عامة 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;

com.google.protobuf.ByteString العامة 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;

RewriterConfig.NumIterationsType العامة getMetaOptimizerIterations ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

int public getMetaOptimizerIterationsValue ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

getMetaOptimizerTimeoutMs () العامة الطويلة

 Maximum number of milliseconds to spend optimizing a single graph before
 timing out. If equal to 0 the system picks a default (currently 5 minutes).
 If less than 0 the optimizer will never time out.
 
int64 meta_optimizer_timeout_ms = 20;

int public 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;

سلسلة getOptimizers العامة (مؤشر int)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 
repeated string optimizers = 100;

com.google.protobuf.ByteString getOptimizersBytes العام (مؤشر int)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 
repeated string optimizers = 100;

int public getOptimizersCount ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 
repeated string optimizers = 100;

com.google.protobuf.ProtocolStringList العامة 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;

عام الحصول على بارسيرفورتيب ()

RewriterConfig.Toggle public getPinToHostOptimization ()

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

int public getPinToHostOptimizationValue ()

 Force small ops onto the CPU (default is OFF).
 
.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

تكوين التحقق العام getPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

التحقق العام ConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

RewriterConfig.Toggle getRemapping ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
.tensorflow.RewriterConfig.Toggle remapping = 14;

int public getRemappingValue ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 
.tensorflow.RewriterConfig.Toggle remapping = 14;

RewriterConfig.Toggle public getScopedAllocatorOptimization ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

int العام 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;

خيارات ScopedAllocator العامة getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

int public getSerializedSize ()

RewriterConfig.Toggle getShapeOptimization ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

int public getShapeOptimizationValue ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

النهائي العام com.google.protobuf.UnknownFieldSet getUnknownFields ()

المنطق المنطقي العام hasAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 
.tensorflow.AutoParallelOptions auto_parallel = 5;

المنطق المنطقي العام hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 
.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

المنطق المنطقي العام hasPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 
.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

المنطق المنطقي العام hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

كود التجزئة الدولي العام ()

تمت تهيئة القيمة المنطقية النهائية العامة ()

RewriterConfig.Builder العام الثابت newBuilder ()

RewriterConfig.Builder العام الثابت newBuilder (النموذج الأولي لـ RewriterConfig )

RewriterConfig.Builder العامة newBuilderForType ()

تحليل RewriterConfig العام الثابت DelimitedFrom (إدخال InputStream)

رميات
IOEException

ParseDelimitedFrom الثابت العام لـ RewriterConfig (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

تحليل RewriterConfig العام الثابت (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

تحليل RewriterConfig العام الثابت (com.google.protobuf.CodedInputStream input)

رميات
IOEException

تحليل RewriterConfig العام الثابت (بيانات البايت []، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

تحليل RewriterConfig العام الثابت (بيانات ByteBuffer)

رميات
InvalidProtocolBufferException

تحليل RewriterConfig العام الثابت (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

تحليل RewriterConfig العام الثابت (بيانات com.google.protobuf.ByteString)

رميات
InvalidProtocolBufferException

تحليل RewriterConfig العام الثابت (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

تحليل RewriterConfig العام الثابت (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

ساكنة عامة محلل ()

RewriterConfig.Builder toBuilder () العامة

الكتابة إلى الفراغ العام (إخراج com.google.protobuf.CodedOutputStream)

رميات
IOEException