RewriterConfigOrBuilder

public interface RewriterConfigOrBuilder
Known Indirect Subclasses

Public Methods

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

Public Methods

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract AutoParallelOptions getAutoParallel ()

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

public abstract AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

public abstract 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;

public abstract int getCommonSubgraphEliminationValue ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 
.tensorflow.