RewriterConfigOrBuilder

genel arayüz RewriterConfigOrBuilder
Bilinen Dolaylı Alt Sınıflar

Genel Yöntemler

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

Genel Yöntemler

genel özet 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;

genel özet 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;

genel özet 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;

genel özet 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;

genel özet 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;

genel özet 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;

genel özet AutoParallelOptions getAutoParallel ()

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

genel özet AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

genel özet 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;

genel özet 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;

genel özet 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;

genel özet 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;

genel özet RewriterConfig.CpuLayout getCpuLayoutConversion ()

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

genel özet int getCpuLayoutConversionValue ()

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

genel özet RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int dizini)

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

genel özet int getCustomOptimizersCount ()

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

genel özet Listesi< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

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

genel özet RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int dizini)

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

genel özet listesi<? RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList () öğesini genişletir

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

genel özet RewriterConfig.Toggle getDebugStripper ()

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

genel özet int getDebugStripperValue ()

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

genel özet RewriterConfig.Toggle getDependencyOptimization ()

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

genel özet int getDependencyOptimizationValue ()

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

genel soyut boolean getDisableMetaOptimizer ()

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

genel soyut boolean getDisableModelPruning ()

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

genel soyut boolean 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;

genel soyut boolean 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;

genel özet RewriterConfig.Toggle getFunctionOptimization ()

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

genel özet int getFunctionOptimizationValue ()

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

genel özet RewriterConfig.Toggle getImplementationSelector ()

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

genel özet int getImplementationSelectorValue ()

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

genel özet VerifierConfig getInterOptimizerVerifierConfig ()

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

genel özet VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

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

genel özet 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;

genel özet 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;

genel özet RewriterConfig.Toggle getLoopOptimization ()

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

genel özet int getLoopOptimizationValue ()

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

genel özet 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;

genel özet 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;

genel özet String getMemoryOptimizerTargetNodeNameScope ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 
string memory_optimizer_target_node_name_scope = 6;

genel özet 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;

genel özet RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

genel özet int getMetaOptimizerIterationsValue ()

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

genel özet uzun 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;

genel özet 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;

genel özet String getOptimizers (int indeksi)

 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;

genel özet com.google.protobuf.ByteString getOptimizersBytes (int dizini)

 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;

genel özet 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;

genel özet Listesi<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).
 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;

genel özet RewriterConfig.Toggle getPinToHostOptimization ()

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

genel özet int getPinToHostOptimizationValue ()

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

genel özet VerifierConfig getPostOptimizationVerifierConfig ()

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

genel özet VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

genel özet RewriterConfig.Toggle getRemapping ()

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

genel özet int getRemappingValue ()

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

genel özet 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;

genel özet 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;

genel özet ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

genel özet ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

genel özet RewriterConfig.Toggle getShapeOptimization ()

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

genel özet int getShapeOptimizationValue ()

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

genel soyut boolean hasAutoParallel ()

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

genel soyut boolean hasInterOptimizerVerifierConfig ()

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

genel soyut boolean hasPostOptimizationVerifierConfig ()

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

genel soyut boolean hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;