RewriterConfig

public final class RewriterConfig

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

Nested Classes

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

Constants

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

Public Methods

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

Inherited Methods

Constants

public static final int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Constant Value: 7

public static final int AUTO_MIXED_PRECISION_FIELD_NUMBER

Constant Value: 23

public static final int AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Constant Value: 25

public static final int AUTO_PARALLEL_FIELD_NUMBER

Constant Value: 5

public static final int COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Constant Value: 24

public static final int CONSTANT_FOLDING_FIELD_NUMBER

Constant Value: 3

public static final int CPU_LAYOUT_CONVERSION_FIELD_NUMBER

Constant Value: 50

public static final int CUSTOM_OPTIMIZERS_FIELD_NUMBER

Constant Value: 200

public static final int DEBUG_STRIPPER_FIELD_NUMBER

Constant Value: 11

public static final int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Constant Value: 8

public static final int DISABLE_META_OPTIMIZER_FIELD_NUMBER

Constant Value: 19

public static final int DISABLE_MODEL_PRUNING_FIELD_NUMBER

Constant Value: 2

public static final int EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Constant Value: 26

public static final int FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Constant Value: 21

public static final int FUNCTION_OPTIMIZATION_FIELD_NUMBER

Constant Value: 10

public static final int IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Constant Value: 22

public static final int INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Constant Value: 300

public static final int LAYOUT_OPTIMIZER_FIELD_NUMBER

Constant Value: 1

public static final int LOOP_OPTIMIZATION_FIELD_NUMBER

Constant Value: 9

public static final int MEMORY_OPTIMIZATION_FIELD_NUMBER

Constant Value: 4

public static final int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Constant Value: 6

public static final int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER

Constant Value: 12

public static final int META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Constant Value: 20

public static final int MIN_GRAPH_NODES_FIELD_NUMBER

Constant Value: 17

public static final int OPTIMIZERS_FIELD_NUMBER

Constant Value: 100

public static final int PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Constant Value: 18

public static final int POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Constant Value: 301

public static final int REMAPPING_FIELD_NUMBER

Constant Value: 14

public static final int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Constant Value: 15

public static final int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Constant Value: 16

public static final int SHAPE_OPTIMIZATION_FIELD_NUMBER

Constant Value: 13

Public Methods

public boolean equals (Object obj)

public 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 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 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 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 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 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 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 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 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 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;

public 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;

public 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;

public RewriterConfig.CpuLayout getCpuLayoutConversion ()

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

public int getCpuLayoutConversionValue ()

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

public RewriterConfig.CustomGraphOptimizer getCustomOptimizers (int index)

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

public int getCustomOptimizersCount ()

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

public List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList ()

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

public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (int index)

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

public List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder> getCustomOptimizersOrBuilderList ()

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

public RewriterConfig.Toggle getDebugStripper ()

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

public int getDebugStripperValue ()

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

public static RewriterConfig getDefaultInstance ()

public RewriterConfig getDefaultInstanceForType ()

public RewriterConfig.Toggle getDependencyOptimization ()

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

public int getDependencyOptimizationValue ()

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

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public boolean getDisableMetaOptimizer ()

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

public boolean getDisableModelPruning ()

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

public 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;

public 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;

public RewriterConfig.Toggle getFunctionOptimization ()

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

public int getFunctionOptimizationValue ()

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

public RewriterConfig.Toggle getImplementationSelector ()

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

public int getImplementationSelectorValue ()

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

public VerifierConfig getInterOptimizerVerifierConfig ()

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

public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

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

public 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;

public 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;

public RewriterConfig.Toggle getLoopOptimization ()

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

public int getLoopOptimizationValue ()

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

public 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;

public 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;

public 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;

public 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;

public RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

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

public int getMetaOptimizerIterationsValue ()

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

public long 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;

public 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;

public 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).
 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;

public 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;

public 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;

public com.google.protobuf.ProtocolStringList 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;

public getParserForType ()

public RewriterConfig.Toggle getPinToHostOptimization ()

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

public int getPinToHostOptimizationValue ()

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

public VerifierConfig getPostOptimizationVerifierConfig ()

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

public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

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

public RewriterConfig.Toggle getRemapping ()

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

public int getRemappingValue ()

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

public 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;

public 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;

public ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int getSerializedSize ()

public RewriterConfig.Toggle getShapeOptimization ()

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

public int getShapeOptimizationValue ()

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

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public boolean hasAutoParallel ()

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

public boolean hasInterOptimizerVerifierConfig ()

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

public boolean hasPostOptimizationVerifierConfig ()

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

public boolean hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

public int hashCode ()

public final boolean isInitialized ()

public static RewriterConfig.Builder newBuilder ()

public static RewriterConfig.Builder newBuilder (RewriterConfig prototype)

public RewriterConfig.Builder newBuilderForType ()

public static RewriterConfig parseDelimitedFrom (InputStream input)

Throws
IOException

public static RewriterConfig parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RewriterConfig parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static RewriterConfig parseFrom (com.google.protobuf.CodedInputStream input)

Throws
IOException

public static RewriterConfig parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static RewriterConfig parseFrom (ByteBuffer data)

Throws
InvalidProtocolBufferException

public static RewriterConfig parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RewriterConfig parseFrom (com.google.protobuf.ByteString data)

Throws
InvalidProtocolBufferException

public static RewriterConfig parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RewriterConfig parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static parser ()

public RewriterConfig.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws
IOException