RewriterConfigOrBuilder

อินเทอร์เฟซสาธารณะ RewriterConfigOrBuilder

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

วิธีการสาธารณะ

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

วิธีการสาธารณะ

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

นามธรรมสาธารณะ AutoParallelOptions getAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

นามธรรมสาธารณะ AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

นามธรรมสาธารณะ 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;

บทคัดย่อสาธารณะ RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

นามธรรมสาธารณะ int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

บทคัดย่อสาธารณะ RewriterConfig.CustomGraphOptimizer getCustomOptimizers (ดัชนี int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

บทคัดย่อสาธารณะ int getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

รายการนามธรรมสาธารณะ < RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

บทคัดย่อสาธารณะ RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (ดัชนี int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

รายการนามธรรมสาธารณะ<? ขยาย RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getDebugStripper ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

นามธรรมสาธารณะ int getDebugStripperValue ()

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

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getDependencyOptimization ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

บทคัดย่อสาธารณะ int getDependencyOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

บูลีนนามธรรมสาธารณะ getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

บูลีนนามธรรมสาธารณะ getDisableModelPruning ()

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

bool disable_model_pruning = 2;

บูลีนนามธรรมสาธารณะ 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;

บูลีนนามธรรมสาธารณะ 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;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

บทคัดย่อสาธารณะ int getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getImplementationSelector ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

บทคัดย่อสาธารณะ int getImplementationSelectorValue ()

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

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

VerifierConfig นามธรรมสาธารณะ getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

VerifierConfigOrBuilder นามธรรมสาธารณะ getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

บทคัดย่อสาธารณะ int getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

สตริงนามธรรมสาธารณะ 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;

นามธรรมสาธารณะ 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;

บทคัดย่อสาธารณะ RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

บทคัดย่อสาธารณะ int getMetaOptimizerIterationsValue ()

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

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

นามธรรมสาธารณะ getMetaOptimizerTimeoutMs ยาว ()

 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;

นามธรรมสาธารณะ 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;

สตริงนามธรรมสาธารณะ getOptimizers (ดัชนี 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;

บทคัดย่อสาธารณะ com.google.protobuf.ByteString getOptimizersBytes (ดัชนี 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;

บทคัดย่อสาธารณะ 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;

รายการนามธรรมสาธารณะ 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;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getPinToHostOptimization ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

นามธรรมสาธารณะ int getPinToHostOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

VerifierConfig นามธรรมสาธารณะ getPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

VerifierConfigOrBuilder นามธรรมสาธารณะ getPostOptimizationVerifierConfigOrBuilder ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getRemapping ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

บทคัดย่อสาธารณะ int getRemappingValue ()

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

.tensorflow.RewriterConfig.Toggle remapping = 14;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ 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;

บทคัดย่อสาธารณะ ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

นามธรรมสาธารณะ ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

บทคัดย่อสาธารณะ RewriterConfig.Toggle getShapeOptimization ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

นามธรรมสาธารณะ int getShapeOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

บูลีนนามธรรมสาธารณะ hasAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

บูลีนนามธรรมสาธารณะ hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

บูลีนนามธรรมสาธารณะ hasPostOptimizationVerifierConfig ()

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

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

บูลีนนามธรรมสาธารณะ hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;