RewriterConfigOrBuilder

পাবলিক ইন্টারফেস RewriterConfigOrBuilder
পরিচিত পরোক্ষ উপশ্রেণী

পাবলিক পদ্ধতি

বিমূর্ত RewriterConfig.Toggle
GetArithmeticOptimization ()
 Arithmetic optimizations (default is ON)
 e.g.
বিমূর্ত int
GetArithmeticOptimizationValue ()
 Arithmetic optimizations (default is ON)
 e.g.
বিমূর্ত RewriterConfig.Toggle
getAutoMixedPrecision ()
 Optimize data types for CUDA (default is OFF).
বিমূর্ত RewriterConfig.Toggle
getAutoMixedPrecisionMkl ()
 Optimize data types for MKL (default is OFF).
বিমূর্ত int
getAutoMixedPrecisionMklValue ()
 Optimize data types for MKL (default is OFF).
বিমূর্ত int
getAutoMixedPrecisionValue ()
 Optimize data types for CUDA (default is OFF).
বিমূর্ত AutoParallelOptions
getAutoParallel ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
বিমূর্ত AutoParallelOptionsOrBuilder
getAutoParallelOrBuilder ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
বিমূর্ত RewriterConfig.Toggle
getCommonSubgraphElimination ()
 Common subgraph elimination (default is ON)
 e.g.
বিমূর্ত int
getCommonSubgraphEliminationValue ()
 Common subgraph elimination (default is ON)
 e.g.
বিমূর্ত RewriterConfig.Toggle
getConstantFolding ()
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
বিমূর্ত int
getConstantFoldingValue ()
 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
বিমূর্ত RewriterConfig.CpuLayout
getCpuLayout রূপান্তর ()
 CPU Conversion settings between NHCW and NCHW.
বিমূর্ত int
getCpuLayout ConversionValue ()
 CPU Conversion settings between NHCW and NCHW.
বিমূর্ত RewriterConfig.CustomGraphOptimizer
getCustomOptimizers (int সূচক)
 list of CustomGraphOptimizers to apply.
বিমূর্ত int
getCustomOptimizersCount ()
 list of CustomGraphOptimizers to apply.
বিমূর্ত তালিকা< RewriterConfig.CustomGraphOptimizer >
getCustomOptimizersList ()
 list of CustomGraphOptimizers to apply.
বিমূর্ত RewriterConfig.CustomGraphOptimizerOrBuilder
getCustomOptimizersOrBuilder (int সূচক)
 list of CustomGraphOptimizers to apply.
বিমূর্ত তালিকা<? RewriterConfig.CustomGraphOptimizerOrBuilder > প্রসারিত করে
getCustomOptimizersOrBuilderList ()
 list of CustomGraphOptimizers to apply.
বিমূর্ত RewriterConfig.Toggle
getDebugStripper ()
 Strips debug-related nodes from the graph (off by default).
বিমূর্ত int
getDebugStripperValue ()
 Strips debug-related nodes from the graph (off by default).
বিমূর্ত RewriterConfig.Toggle
getDependency Optimization ()
 Control dependency optimizations (default is ON).
বিমূর্ত int
নির্ভরতা অপ্টিমাইজেশন ভ্যালু ()
 Control dependency optimizations (default is ON).
বিমূর্ত বুলিয়ান
getDisableMetaOptimizer ()
 Disable the entire meta optimizer (off by default).
বিমূর্ত বুলিয়ান
getDisableModel ছাঁটাই ()
 If true, don't remove unnecessary ops from the graph
 
bool disable_model_pruning = 2;
বিমূর্ত বুলিয়ান
getExperimentalDisableCompressedTensorOptimization ()
 Disable optimizations that assume compressed tensors.
বিমূর্ত বুলিয়ান
getFailOnOptimizerErrors ()
 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error.
বিমূর্ত RewriterConfig.Toggle
getFunctionOptimization ()
 Function optimizations (default is ON).
বিমূর্ত int
getFunctionOptimizationValue ()
 Function optimizations (default is ON).
বিমূর্ত RewriterConfig.Toggle
ইমপ্লিমেন্টেশন সিলেক্টর ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
বিমূর্ত int
Get ImplementationSelectorValue ()
 Enable the swap of kernel implementations based on the device placement
 (default is ON).
বিমূর্ত VerifierConfig
getInterOptimizerVerifierConfig ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
বিমূর্ত VerifierConfigOrBuilder
getInterOptimizerVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
বিমূর্ত RewriterConfig.Toggle
getLayoutOptimizer ()
 Optimize tensor layouts (default is ON)
 e.g.
বিমূর্ত int
getLayoutOptimizerValue ()
 Optimize tensor layouts (default is ON)
 e.g.
বিমূর্ত RewriterConfig.Toggle
getLoopOptimization ()
 Loop optimizations (default is ON).
বিমূর্ত int
getLoopOptimizationValue ()
 Loop optimizations (default is ON).
বিমূর্ত RewriterConfig.MemOptType
getMemory অপ্টিমাইজেশান ()
 Configures memory optimization passes through the meta-optimizer.
বিমূর্ত int
getMemoryOptimizationValue ()
 Configures memory optimization passes through the meta-optimizer.
বিমূর্ত স্ট্রিং
getMemoryOptimizerTargetNodeNameScope ()
 A node name scope for node names which are valid outputs of recomputations.
বিমূর্ত com.google.protobuf.ByteString
getMemoryOptimizerTargetNodeNameScopeBytes ()
 A node name scope for node names which are valid outputs of recomputations.
বিমূর্ত RewriterConfig.NumIterationsType
getMetaOptimizerIterations ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
বিমূর্ত int
getMetaOptimizerIterationsValue ()
 Controls how many times we run the optimizers in meta optimizer (default
 is once).
বিমূর্ত দীর্ঘ
getMetaOptimizerTimeoutMs ()
 Maximum number of milliseconds to spend optimizing a single graph before
 timing out.
বিমূর্ত int
getMinGraphNodes ()
 The minimum number of nodes in a graph to optimizer.
বিমূর্ত স্ট্রিং
getOptimizers (int সূচক)
 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).
বিমূর্ত com.google.protobuf.ByteString
getOptimizersBytes (int সূচক)
 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).
বিমূর্ত 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).
বিমূর্ত তালিকা<স্ট্রিং>
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).
বিমূর্ত RewriterConfig.Toggle
getPinToHostOptimization ()
 Force small ops onto the CPU (default is OFF).
বিমূর্ত int
getPinToHostOptimizationValue ()
 Force small ops onto the CPU (default is OFF).
বিমূর্ত VerifierConfig
getPostOptimizationVerifierConfig ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
বিমূর্ত VerifierConfigOrBuilder
getPostOptimizationVerifierConfigOrBuilder ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
বিমূর্ত RewriterConfig.Toggle
getRemapping ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
বিমূর্ত int
getRemappingValue ()
 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
বিমূর্ত RewriterConfig.Toggle
getScopedAllocator অপ্টিমাইজেশান ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
বিমূর্ত int
getScopedAllocatorOptimizationValue ()
 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
বিমূর্ত ScopedAllocatorOptions
getScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
বিমূর্ত ScopedAllocatorOptionsOrBuilder
getScopedAllocatorOptsOrBuilder ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
বিমূর্ত RewriterConfig.Toggle
getShapeOptimization ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
বিমূর্ত int
getShapeOptimizationValue ()
 Shape optimizations (default is ON)
 Simplify computations made on shapes.
বিমূর্ত বুলিয়ান
স্বয়ংক্রিয় সমান্তরাল ()
 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
বিমূর্ত বুলিয়ান
আছেইন্টারঅপ্টিমাইজার ভেরিফায়ার কনফিগ ()
 VerifierConfig specifying the verifiers to be run after every optimizer.
বিমূর্ত বুলিয়ান
পোস্ট অপ্টিমাইজেশন ভেরিফায়ার কনফিগ ()
 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
বিমূর্ত বুলিয়ান
hasScopedAllocatorOpts ()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

পাবলিক পদ্ধতি

পাবলিক বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত 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;

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত AutoParallelOptions getAutoParallel ()

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

সর্বজনীন বিমূর্ত AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত RewriterConfig.CpuLayout getCpuLayout Conversion ()

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

পাবলিক বিমূর্ত int getCpuLayout ConversionValue ()

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

সর্বজনীন বিমূর্ত RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int সূচক)

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

পাবলিক বিমূর্ত int getCustomOptimizersCount ()

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

সর্বজনীন বিমূর্ত তালিকা< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

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

সর্বজনীন বিমূর্ত RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int index)

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

সর্বজনীন বিমূর্ত তালিকা<? RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList () প্রসারিত করে

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

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getDebugStripper ()

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

পাবলিক বিমূর্ত int getDebugStripperValue ()

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

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getDependencyOptimization ()

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

পাবলিক বিমূর্ত int getDependencyOptimizationValue ()

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

পাবলিক বিমূর্ত বুলিয়ান getDisableMetaOptimizer ()

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

পাবলিক বিমূর্ত বুলিয়ান getDisableModelPruning ()

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

সর্বজনীন বিমূর্ত বুলিয়ান 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;

সর্বজনীন বিমূর্ত বুলিয়ান 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;

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getFunctionOptimization ()

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

পাবলিক বিমূর্ত int getFunctionOptimizationValue ()

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

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getImplementationSelector ()

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

পাবলিক বিমূর্ত int getImplementationSelectorValue ()

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

সর্বজনীন বিমূর্ত VerifierConfig getInterOptimizerVerifierConfig ()

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

সর্বজনীন বিমূর্ত VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

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

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getLoopOptimization ()

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

পাবলিক বিমূর্ত int getLoopOptimizationValue ()

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

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত স্ট্রিং 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;

সর্বজনীন বিমূর্ত 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;

সর্বজনীন বিমূর্ত RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

পাবলিক বিমূর্ত int getMetaOptimizerIterationsValue ()

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

সর্বজনীন বিমূর্ত দীর্ঘ 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত স্ট্রিং getOptimizers (int সূচক)

 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;

সর্বজনীন বিমূর্ত com.google.protobuf.ByteString getOptimizersBytes (int index)

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

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত তালিকা<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;

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getPinToHostOptimization ()

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

পাবলিক বিমূর্ত int getPinToHostOptimizationValue ()

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

সর্বজনীন বিমূর্ত VerifierConfig getPostOptimizationVerifierConfig ()

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

সর্বজনীন বিমূর্ত VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getRemapping ()

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

পাবলিক বিমূর্ত int getRemappingValue ()

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

সর্বজনীন বিমূর্ত 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;

পাবলিক বিমূর্ত 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;

সর্বজনীন বিমূর্ত ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

সর্বজনীন বিমূর্ত ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

সর্বজনীন বিমূর্ত RewriterConfig.Toggle getShapeOptimization ()

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

পাবলিক বিমূর্ত int getShapeOptimizationValue ()

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

সর্বজনীন বিমূর্ত বুলিয়ান hasAutoParallel ()

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

পাবলিক বিমূর্ত বুলিয়ান hasInterOptimizerVerifierConfig ()

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

সর্বজনীন বিমূর্ত বুলিয়ান আছে পোস্ট অপ্টিমাইজেশন ভেরিফায়ার কনফিগ ()

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

সর্বজনীন বিমূর্ত বুলিয়ান hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;