Package org.platanios.tensorflow.proto
Class RewriterConfig.Builder
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite.Builder
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- com.google.protobuf.AbstractMessage.Builder<BuilderType>
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- com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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- org.platanios.tensorflow.proto.RewriterConfig.Builder
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- All Implemented Interfaces:
com.google.protobuf.Message.Builder
,com.google.protobuf.MessageLite.Builder
,com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
,java.lang.Cloneable
,RewriterConfigOrBuilder
- Enclosing class:
- RewriterConfig
public static final class RewriterConfig.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder> implements RewriterConfigOrBuilder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
Protobuf typeorg.platanios.tensorflow.proto.RewriterConfig
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description RewriterConfig.Builder
addAllCustomOptimizers(java.lang.Iterable<? extends RewriterConfig.CustomGraphOptimizer> values)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
addAllOptimizers(java.lang.Iterable<java.lang.String> values)
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.Builder
addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.RewriterConfig.CustomGraphOptimizer.Builder
addCustomOptimizersBuilder()
list of CustomGraphOptimizers to apply.RewriterConfig.CustomGraphOptimizer.Builder
addCustomOptimizersBuilder(int index)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
addOptimizers(java.lang.String value)
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.Builder
addOptimizersBytes(com.google.protobuf.ByteString value)
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.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
RewriterConfig
build()
RewriterConfig
buildPartial()
RewriterConfig.Builder
clear()
RewriterConfig.Builder
clearArithmeticOptimization()
Arithmetic optimizations (default is ON) e.g.RewriterConfig.Builder
clearAutoMixedPrecision()
Optimize data types (default is OFF).RewriterConfig.Builder
clearAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.RewriterConfig.Builder
clearCommonSubgraphElimination()
Common subgraph elimination (default is ON) e.g.RewriterConfig.Builder
clearConstantFolding()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.Builder
clearCustomOptimizers()
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
clearDebugStripper()
Strips debug-related nodes from the graph (off by default).RewriterConfig.Builder
clearDependencyOptimization()
Control dependency optimizations (default is ON).RewriterConfig.Builder
clearDisableMetaOptimizer()
Disable the entire meta optimizer (off by default).RewriterConfig.Builder
clearDisableModelPruning()
If true, don't remove unnecessary ops from the graphRewriterConfig.Builder
clearFailOnOptimizerErrors()
If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.RewriterConfig.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
RewriterConfig.Builder
clearFunctionOptimization()
Function optimizations (default is ON).RewriterConfig.Builder
clearImplementationSelector()
Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.Builder
clearInterOptimizerVerifierConfig()
VerifierConfig specifying the verifiers to be run after every optimizer.RewriterConfig.Builder
clearLayoutOptimizer()
Optimize tensor layouts (default is ON) e.g.RewriterConfig.Builder
clearLoopOptimization()
Loop optimizations (default is ON).RewriterConfig.Builder
clearMemoryOptimization()
Configures memory optimization passes through the meta-optimizer.RewriterConfig.Builder
clearMemoryOptimizerTargetNodeNameScope()
A node name scope for node names which are valid outputs of recomputations.RewriterConfig.Builder
clearMetaOptimizerIterations()
Controls how many times we run the optimizers in meta optimizer (default is once).RewriterConfig.Builder
clearMetaOptimizerTimeoutMs()
Maximum number of milliseconds to spend optimizing a single graph before timing out.RewriterConfig.Builder
clearMinGraphNodes()
The minimum number of nodes in a graph to optimizer.RewriterConfig.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
RewriterConfig.Builder
clearOptimizers()
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.Builder
clearPinToHostOptimization()
Force small ops onto the CPU (default is OFF).RewriterConfig.Builder
clearPostOptimizationVerifierConfig()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.RewriterConfig.Builder
clearRemapping()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.Builder
clearScopedAllocatorOptimization()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.Builder
clearScopedAllocatorOpts()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
clearShapeOptimization()
Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.Builder
clone()
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 (default is OFF).int
getAutoMixedPrecisionValue()
Optimize data types (default is OFF).AutoParallelOptions
getAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.AutoParallelOptions.Builder
getAutoParallelBuilder()
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.CustomGraphOptimizer
getCustomOptimizers(int index)
list of CustomGraphOptimizers to apply.RewriterConfig.CustomGraphOptimizer.Builder
getCustomOptimizersBuilder(int index)
list of CustomGraphOptimizers to apply.java.util.List<RewriterConfig.CustomGraphOptimizer.Builder>
getCustomOptimizersBuilderList()
list of CustomGraphOptimizers to apply.int
getCustomOptimizersCount()
list of CustomGraphOptimizers to apply.java.util.List<RewriterConfig.CustomGraphOptimizer>
getCustomOptimizersList()
list of CustomGraphOptimizers to apply.RewriterConfig.CustomGraphOptimizerOrBuilder
getCustomOptimizersOrBuilder(int index)
list of CustomGraphOptimizers to apply.java.util.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).RewriterConfig
getDefaultInstanceForType()
RewriterConfig.Toggle
getDependencyOptimization()
Control dependency optimizations (default is ON).int
getDependencyOptimizationValue()
Control dependency optimizations (default is ON).static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
boolean
getDisableMetaOptimizer()
Disable the entire meta optimizer (off by default).boolean
getDisableModelPruning()
If true, don't remove unnecessary ops from the graphboolean
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.VerifierConfig.Builder
getInterOptimizerVerifierConfigBuilder()
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.java.lang.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.java.lang.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.VerifierConfig.Builder
getPostOptimizationVerifierConfigBuilder()
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()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptions.Builder
getScopedAllocatorOptsBuilder()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder
getScopedAllocatorOptsOrBuilder()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
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.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()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
RewriterConfig.Builder
mergeAutoParallel(AutoParallelOptions value)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.RewriterConfig.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RewriterConfig.Builder
mergeFrom(com.google.protobuf.Message other)
RewriterConfig.Builder
mergeFrom(RewriterConfig other)
RewriterConfig.Builder
mergeInterOptimizerVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run after every optimizer.RewriterConfig.Builder
mergePostOptimizationVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.RewriterConfig.Builder
mergeScopedAllocatorOpts(ScopedAllocatorOptions value)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
RewriterConfig.Builder
removeCustomOptimizers(int index)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
setArithmeticOptimization(RewriterConfig.Toggle value)
Arithmetic optimizations (default is ON) e.g.RewriterConfig.Builder
setArithmeticOptimizationValue(int value)
Arithmetic optimizations (default is ON) e.g.RewriterConfig.Builder
setAutoMixedPrecision(RewriterConfig.Toggle value)
Optimize data types (default is OFF).RewriterConfig.Builder
setAutoMixedPrecisionValue(int value)
Optimize data types (default is OFF).RewriterConfig.Builder
setAutoParallel(AutoParallelOptions value)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.RewriterConfig.Builder
setAutoParallel(AutoParallelOptions.Builder builderForValue)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.RewriterConfig.Builder
setCommonSubgraphElimination(RewriterConfig.Toggle value)
Common subgraph elimination (default is ON) e.g.RewriterConfig.Builder
setCommonSubgraphEliminationValue(int value)
Common subgraph elimination (default is ON) e.g.RewriterConfig.Builder
setConstantFolding(RewriterConfig.Toggle value)
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.Builder
setConstantFoldingValue(int value)
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.Builder
setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.RewriterConfig.Builder
setDebugStripper(RewriterConfig.Toggle value)
Strips debug-related nodes from the graph (off by default).RewriterConfig.Builder
setDebugStripperValue(int value)
Strips debug-related nodes from the graph (off by default).RewriterConfig.Builder
setDependencyOptimization(RewriterConfig.Toggle value)
Control dependency optimizations (default is ON).RewriterConfig.Builder
setDependencyOptimizationValue(int value)
Control dependency optimizations (default is ON).RewriterConfig.Builder
setDisableMetaOptimizer(boolean value)
Disable the entire meta optimizer (off by default).RewriterConfig.Builder
setDisableModelPruning(boolean value)
If true, don't remove unnecessary ops from the graphRewriterConfig.Builder
setFailOnOptimizerErrors(boolean value)
If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.RewriterConfig.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
RewriterConfig.Builder
setFunctionOptimization(RewriterConfig.Toggle value)
Function optimizations (default is ON).RewriterConfig.Builder
setFunctionOptimizationValue(int value)
Function optimizations (default is ON).RewriterConfig.Builder
setImplementationSelector(RewriterConfig.Toggle value)
Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.Builder
setImplementationSelectorValue(int value)
Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.Builder
setInterOptimizerVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run after every optimizer.RewriterConfig.Builder
setInterOptimizerVerifierConfig(VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.RewriterConfig.Builder
setLayoutOptimizer(RewriterConfig.Toggle value)
Optimize tensor layouts (default is ON) e.g.RewriterConfig.Builder
setLayoutOptimizerValue(int value)
Optimize tensor layouts (default is ON) e.g.RewriterConfig.Builder
setLoopOptimization(RewriterConfig.Toggle value)
Loop optimizations (default is ON).RewriterConfig.Builder
setLoopOptimizationValue(int value)
Loop optimizations (default is ON).RewriterConfig.Builder
setMemoryOptimization(RewriterConfig.MemOptType value)
Configures memory optimization passes through the meta-optimizer.RewriterConfig.Builder
setMemoryOptimizationValue(int value)
Configures memory optimization passes through the meta-optimizer.RewriterConfig.Builder
setMemoryOptimizerTargetNodeNameScope(java.lang.String value)
A node name scope for node names which are valid outputs of recomputations.RewriterConfig.Builder
setMemoryOptimizerTargetNodeNameScopeBytes(com.google.protobuf.ByteString value)
A node name scope for node names which are valid outputs of recomputations.RewriterConfig.Builder
setMetaOptimizerIterations(RewriterConfig.NumIterationsType value)
Controls how many times we run the optimizers in meta optimizer (default is once).RewriterConfig.Builder
setMetaOptimizerIterationsValue(int value)
Controls how many times we run the optimizers in meta optimizer (default is once).RewriterConfig.Builder
setMetaOptimizerTimeoutMs(long value)
Maximum number of milliseconds to spend optimizing a single graph before timing out.RewriterConfig.Builder
setMinGraphNodes(int value)
The minimum number of nodes in a graph to optimizer.RewriterConfig.Builder
setOptimizers(int index, java.lang.String value)
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.Builder
setPinToHostOptimization(RewriterConfig.Toggle value)
Force small ops onto the CPU (default is OFF).RewriterConfig.Builder
setPinToHostOptimizationValue(int value)
Force small ops onto the CPU (default is OFF).RewriterConfig.Builder
setPostOptimizationVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.RewriterConfig.Builder
setPostOptimizationVerifierConfig(VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.RewriterConfig.Builder
setRemapping(RewriterConfig.Toggle value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.Builder
setRemappingValue(int value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
RewriterConfig.Builder
setScopedAllocatorOptimization(RewriterConfig.Toggle value)
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.Builder
setScopedAllocatorOptimizationValue(int value)
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.Builder
setScopedAllocatorOpts(ScopedAllocatorOptions value)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
RewriterConfig.Builder
setShapeOptimization(RewriterConfig.Toggle value)
Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.Builder
setShapeOptimizationValue(int value)
Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3
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Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeFrom, newUninitializedMessageException
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Method Detail
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
-
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
clear
public RewriterConfig.Builder clear()
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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getDefaultInstanceForType
public RewriterConfig getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
-
build
public RewriterConfig build()
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
-
buildPartial
public RewriterConfig buildPartial()
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
-
clone
public RewriterConfig.Builder clone()
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
setField
public RewriterConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
clearField
public RewriterConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
clearOneof
public RewriterConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
setRepeatedField
public RewriterConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
- Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
addRepeatedField
public RewriterConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
-
mergeFrom
public RewriterConfig.Builder mergeFrom(com.google.protobuf.Message other)
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>
-
mergeFrom
public RewriterConfig.Builder mergeFrom(RewriterConfig other)
-
isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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mergeFrom
public RewriterConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>
- Throws:
java.io.IOException
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getLayoutOptimizerValue
public int getLayoutOptimizerValue()
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle layout_optimizer = 1;
- Specified by:
getLayoutOptimizerValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for layoutOptimizer.
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setLayoutOptimizerValue
public RewriterConfig.Builder setLayoutOptimizerValue(int value)
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle layout_optimizer = 1;
- Parameters:
value
- The enum numeric value on the wire for layoutOptimizer to set.- Returns:
- This builder for chaining.
-
getLayoutOptimizer
public RewriterConfig.Toggle getLayoutOptimizer()
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle layout_optimizer = 1;
- Specified by:
getLayoutOptimizer
in interfaceRewriterConfigOrBuilder
- Returns:
- The layoutOptimizer.
-
setLayoutOptimizer
public RewriterConfig.Builder setLayoutOptimizer(RewriterConfig.Toggle value)
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle layout_optimizer = 1;
- Parameters:
value
- The layoutOptimizer to set.- Returns:
- This builder for chaining.
-
clearLayoutOptimizer
public RewriterConfig.Builder clearLayoutOptimizer()
Optimize tensor layouts (default is ON) e.g. This will try to use NCHW layout on GPU which is faster.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle layout_optimizer = 1;
- Returns:
- This builder for chaining.
-
getConstantFoldingValue
public int getConstantFoldingValue()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle constant_folding = 3;
- Specified by:
getConstantFoldingValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for constantFolding.
-
setConstantFoldingValue
public RewriterConfig.Builder setConstantFoldingValue(int value)
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle constant_folding = 3;
- Parameters:
value
- The enum numeric value on the wire for constantFolding to set.- Returns:
- This builder for chaining.
-
getConstantFolding
public RewriterConfig.Toggle getConstantFolding()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle constant_folding = 3;
- Specified by:
getConstantFolding
in interfaceRewriterConfigOrBuilder
- Returns:
- The constantFolding.
-
setConstantFolding
public RewriterConfig.Builder setConstantFolding(RewriterConfig.Toggle value)
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle constant_folding = 3;
- Parameters:
value
- The constantFolding to set.- Returns:
- This builder for chaining.
-
clearConstantFolding
public RewriterConfig.Builder clearConstantFolding()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle constant_folding = 3;
- Returns:
- This builder for chaining.
-
getShapeOptimizationValue
public int getShapeOptimizationValue()
Shape optimizations (default is ON) Simplify computations made on shapes.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle shape_optimization = 13;
- Specified by:
getShapeOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for shapeOptimization.
-
setShapeOptimizationValue
public RewriterConfig.Builder setShapeOptimizationValue(int value)
Shape optimizations (default is ON) Simplify computations made on shapes.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle shape_optimization = 13;
- Parameters:
value
- The enum numeric value on the wire for shapeOptimization to set.- Returns:
- This builder for chaining.
-
getShapeOptimization
public RewriterConfig.Toggle getShapeOptimization()
Shape optimizations (default is ON) Simplify computations made on shapes.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle shape_optimization = 13;
- Specified by:
getShapeOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The shapeOptimization.
-
setShapeOptimization
public RewriterConfig.Builder setShapeOptimization(RewriterConfig.Toggle value)
Shape optimizations (default is ON) Simplify computations made on shapes.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle shape_optimization = 13;
- Parameters:
value
- The shapeOptimization to set.- Returns:
- This builder for chaining.
-
clearShapeOptimization
public RewriterConfig.Builder clearShapeOptimization()
Shape optimizations (default is ON) Simplify computations made on shapes.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle shape_optimization = 13;
- Returns:
- This builder for chaining.
-
getRemappingValue
public int getRemappingValue()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle remapping = 14;
- Specified by:
getRemappingValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for remapping.
-
setRemappingValue
public RewriterConfig.Builder setRemappingValue(int value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle remapping = 14;
- Parameters:
value
- The enum numeric value on the wire for remapping to set.- Returns:
- This builder for chaining.
-
getRemapping
public RewriterConfig.Toggle getRemapping()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle remapping = 14;
- Specified by:
getRemapping
in interfaceRewriterConfigOrBuilder
- Returns:
- The remapping.
-
setRemapping
public RewriterConfig.Builder setRemapping(RewriterConfig.Toggle value)
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle remapping = 14;
- Parameters:
value
- The remapping to set.- Returns:
- This builder for chaining.
-
clearRemapping
public RewriterConfig.Builder clearRemapping()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle remapping = 14;
- Returns:
- This builder for chaining.
-
getCommonSubgraphEliminationValue
public int getCommonSubgraphEliminationValue()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle common_subgraph_elimination = 24;
- Specified by:
getCommonSubgraphEliminationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for commonSubgraphElimination.
-
setCommonSubgraphEliminationValue
public RewriterConfig.Builder setCommonSubgraphEliminationValue(int value)
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle common_subgraph_elimination = 24;
- Parameters:
value
- The enum numeric value on the wire for commonSubgraphElimination to set.- Returns:
- This builder for chaining.
-
getCommonSubgraphElimination
public RewriterConfig.Toggle getCommonSubgraphElimination()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle common_subgraph_elimination = 24;
- Specified by:
getCommonSubgraphElimination
in interfaceRewriterConfigOrBuilder
- Returns:
- The commonSubgraphElimination.
-
setCommonSubgraphElimination
public RewriterConfig.Builder setCommonSubgraphElimination(RewriterConfig.Toggle value)
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle common_subgraph_elimination = 24;
- Parameters:
value
- The commonSubgraphElimination to set.- Returns:
- This builder for chaining.
-
clearCommonSubgraphElimination
public RewriterConfig.Builder clearCommonSubgraphElimination()
Common subgraph elimination (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle common_subgraph_elimination = 24;
- Returns:
- This builder for chaining.
-
getArithmeticOptimizationValue
public int getArithmeticOptimizationValue()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle arithmetic_optimization = 7;
- Specified by:
getArithmeticOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for arithmeticOptimization.
-
setArithmeticOptimizationValue
public RewriterConfig.Builder setArithmeticOptimizationValue(int value)
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle arithmetic_optimization = 7;
- Parameters:
value
- The enum numeric value on the wire for arithmeticOptimization to set.- Returns:
- This builder for chaining.
-
getArithmeticOptimization
public RewriterConfig.Toggle getArithmeticOptimization()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle arithmetic_optimization = 7;
- Specified by:
getArithmeticOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The arithmeticOptimization.
-
setArithmeticOptimization
public RewriterConfig.Builder setArithmeticOptimization(RewriterConfig.Toggle value)
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle arithmetic_optimization = 7;
- Parameters:
value
- The arithmeticOptimization to set.- Returns:
- This builder for chaining.
-
clearArithmeticOptimization
public RewriterConfig.Builder clearArithmeticOptimization()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle arithmetic_optimization = 7;
- Returns:
- This builder for chaining.
-
getDependencyOptimizationValue
public int getDependencyOptimizationValue()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle dependency_optimization = 8;
- Specified by:
getDependencyOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for dependencyOptimization.
-
setDependencyOptimizationValue
public RewriterConfig.Builder setDependencyOptimizationValue(int value)
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle dependency_optimization = 8;
- Parameters:
value
- The enum numeric value on the wire for dependencyOptimization to set.- Returns:
- This builder for chaining.
-
getDependencyOptimization
public RewriterConfig.Toggle getDependencyOptimization()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle dependency_optimization = 8;
- Specified by:
getDependencyOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The dependencyOptimization.
-
setDependencyOptimization
public RewriterConfig.Builder setDependencyOptimization(RewriterConfig.Toggle value)
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle dependency_optimization = 8;
- Parameters:
value
- The dependencyOptimization to set.- Returns:
- This builder for chaining.
-
clearDependencyOptimization
public RewriterConfig.Builder clearDependencyOptimization()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle dependency_optimization = 8;
- Returns:
- This builder for chaining.
-
getLoopOptimizationValue
public int getLoopOptimizationValue()
Loop optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle loop_optimization = 9;
- Specified by:
getLoopOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for loopOptimization.
-
setLoopOptimizationValue
public RewriterConfig.Builder setLoopOptimizationValue(int value)
Loop optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle loop_optimization = 9;
- Parameters:
value
- The enum numeric value on the wire for loopOptimization to set.- Returns:
- This builder for chaining.
-
getLoopOptimization
public RewriterConfig.Toggle getLoopOptimization()
Loop optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle loop_optimization = 9;
- Specified by:
getLoopOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The loopOptimization.
-
setLoopOptimization
public RewriterConfig.Builder setLoopOptimization(RewriterConfig.Toggle value)
Loop optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle loop_optimization = 9;
- Parameters:
value
- The loopOptimization to set.- Returns:
- This builder for chaining.
-
clearLoopOptimization
public RewriterConfig.Builder clearLoopOptimization()
Loop optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle loop_optimization = 9;
- Returns:
- This builder for chaining.
-
getFunctionOptimizationValue
public int getFunctionOptimizationValue()
Function optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle function_optimization = 10;
- Specified by:
getFunctionOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for functionOptimization.
-
setFunctionOptimizationValue
public RewriterConfig.Builder setFunctionOptimizationValue(int value)
Function optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle function_optimization = 10;
- Parameters:
value
- The enum numeric value on the wire for functionOptimization to set.- Returns:
- This builder for chaining.
-
getFunctionOptimization
public RewriterConfig.Toggle getFunctionOptimization()
Function optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle function_optimization = 10;
- Specified by:
getFunctionOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The functionOptimization.
-
setFunctionOptimization
public RewriterConfig.Builder setFunctionOptimization(RewriterConfig.Toggle value)
Function optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle function_optimization = 10;
- Parameters:
value
- The functionOptimization to set.- Returns:
- This builder for chaining.
-
clearFunctionOptimization
public RewriterConfig.Builder clearFunctionOptimization()
Function optimizations (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle function_optimization = 10;
- Returns:
- This builder for chaining.
-
getDebugStripperValue
public int getDebugStripperValue()
Strips debug-related nodes from the graph (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle debug_stripper = 11;
- Specified by:
getDebugStripperValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for debugStripper.
-
setDebugStripperValue
public RewriterConfig.Builder setDebugStripperValue(int value)
Strips debug-related nodes from the graph (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle debug_stripper = 11;
- Parameters:
value
- The enum numeric value on the wire for debugStripper to set.- Returns:
- This builder for chaining.
-
getDebugStripper
public RewriterConfig.Toggle getDebugStripper()
Strips debug-related nodes from the graph (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle debug_stripper = 11;
- Specified by:
getDebugStripper
in interfaceRewriterConfigOrBuilder
- Returns:
- The debugStripper.
-
setDebugStripper
public RewriterConfig.Builder setDebugStripper(RewriterConfig.Toggle value)
Strips debug-related nodes from the graph (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle debug_stripper = 11;
- Parameters:
value
- The debugStripper to set.- Returns:
- This builder for chaining.
-
clearDebugStripper
public RewriterConfig.Builder clearDebugStripper()
Strips debug-related nodes from the graph (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle debug_stripper = 11;
- Returns:
- This builder for chaining.
-
getDisableModelPruning
public boolean getDisableModelPruning()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- Specified by:
getDisableModelPruning
in interfaceRewriterConfigOrBuilder
- Returns:
- The disableModelPruning.
-
setDisableModelPruning
public RewriterConfig.Builder setDisableModelPruning(boolean value)
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- Parameters:
value
- The disableModelPruning to set.- Returns:
- This builder for chaining.
-
clearDisableModelPruning
public RewriterConfig.Builder clearDisableModelPruning()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- Returns:
- This builder for chaining.
-
getScopedAllocatorOptimizationValue
public int getScopedAllocatorOptimizationValue()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle scoped_allocator_optimization = 15;
- Specified by:
getScopedAllocatorOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for scopedAllocatorOptimization.
-
setScopedAllocatorOptimizationValue
public RewriterConfig.Builder setScopedAllocatorOptimizationValue(int value)
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle scoped_allocator_optimization = 15;
- Parameters:
value
- The enum numeric value on the wire for scopedAllocatorOptimization to set.- Returns:
- This builder for chaining.
-
getScopedAllocatorOptimization
public RewriterConfig.Toggle getScopedAllocatorOptimization()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle scoped_allocator_optimization = 15;
- Specified by:
getScopedAllocatorOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The scopedAllocatorOptimization.
-
setScopedAllocatorOptimization
public RewriterConfig.Builder setScopedAllocatorOptimization(RewriterConfig.Toggle value)
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle scoped_allocator_optimization = 15;
- Parameters:
value
- The scopedAllocatorOptimization to set.- Returns:
- This builder for chaining.
-
clearScopedAllocatorOptimization
public RewriterConfig.Builder clearScopedAllocatorOptimization()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle scoped_allocator_optimization = 15;
- Returns:
- This builder for chaining.
-
getPinToHostOptimizationValue
public int getPinToHostOptimizationValue()
Force small ops onto the CPU (default is OFF).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle pin_to_host_optimization = 18;
- Specified by:
getPinToHostOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for pinToHostOptimization.
-
setPinToHostOptimizationValue
public RewriterConfig.Builder setPinToHostOptimizationValue(int value)
Force small ops onto the CPU (default is OFF).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle pin_to_host_optimization = 18;
- Parameters:
value
- The enum numeric value on the wire for pinToHostOptimization to set.- Returns:
- This builder for chaining.
-
getPinToHostOptimization
public RewriterConfig.Toggle getPinToHostOptimization()
Force small ops onto the CPU (default is OFF).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle pin_to_host_optimization = 18;
- Specified by:
getPinToHostOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The pinToHostOptimization.
-
setPinToHostOptimization
public RewriterConfig.Builder setPinToHostOptimization(RewriterConfig.Toggle value)
Force small ops onto the CPU (default is OFF).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle pin_to_host_optimization = 18;
- Parameters:
value
- The pinToHostOptimization to set.- Returns:
- This builder for chaining.
-
clearPinToHostOptimization
public RewriterConfig.Builder clearPinToHostOptimization()
Force small ops onto the CPU (default is OFF).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle pin_to_host_optimization = 18;
- Returns:
- This builder for chaining.
-
getImplementationSelectorValue
public int getImplementationSelectorValue()
Enable the swap of kernel implementations based on the device placement (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle implementation_selector = 22;
- Specified by:
getImplementationSelectorValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for implementationSelector.
-
setImplementationSelectorValue
public RewriterConfig.Builder setImplementationSelectorValue(int value)
Enable the swap of kernel implementations based on the device placement (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle implementation_selector = 22;
- Parameters:
value
- The enum numeric value on the wire for implementationSelector to set.- Returns:
- This builder for chaining.
-
getImplementationSelector
public RewriterConfig.Toggle getImplementationSelector()
Enable the swap of kernel implementations based on the device placement (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle implementation_selector = 22;
- Specified by:
getImplementationSelector
in interfaceRewriterConfigOrBuilder
- Returns:
- The implementationSelector.
-
setImplementationSelector
public RewriterConfig.Builder setImplementationSelector(RewriterConfig.Toggle value)
Enable the swap of kernel implementations based on the device placement (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle implementation_selector = 22;
- Parameters:
value
- The implementationSelector to set.- Returns:
- This builder for chaining.
-
clearImplementationSelector
public RewriterConfig.Builder clearImplementationSelector()
Enable the swap of kernel implementations based on the device placement (default is ON).
.org.platanios.tensorflow.proto.RewriterConfig.Toggle implementation_selector = 22;
- Returns:
- This builder for chaining.
-
getAutoMixedPrecisionValue
public int getAutoMixedPrecisionValue()
Optimize data types (default is OFF). e.g., 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.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle auto_mixed_precision = 23;
- Specified by:
getAutoMixedPrecisionValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for autoMixedPrecision.
-
setAutoMixedPrecisionValue
public RewriterConfig.Builder setAutoMixedPrecisionValue(int value)
Optimize data types (default is OFF). e.g., 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.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle auto_mixed_precision = 23;
- Parameters:
value
- The enum numeric value on the wire for autoMixedPrecision to set.- Returns:
- This builder for chaining.
-
getAutoMixedPrecision
public RewriterConfig.Toggle getAutoMixedPrecision()
Optimize data types (default is OFF). e.g., 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.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle auto_mixed_precision = 23;
- Specified by:
getAutoMixedPrecision
in interfaceRewriterConfigOrBuilder
- Returns:
- The autoMixedPrecision.
-
setAutoMixedPrecision
public RewriterConfig.Builder setAutoMixedPrecision(RewriterConfig.Toggle value)
Optimize data types (default is OFF). e.g., 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.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle auto_mixed_precision = 23;
- Parameters:
value
- The autoMixedPrecision to set.- Returns:
- This builder for chaining.
-
clearAutoMixedPrecision
public RewriterConfig.Builder clearAutoMixedPrecision()
Optimize data types (default is OFF). e.g., 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.
.org.platanios.tensorflow.proto.RewriterConfig.Toggle auto_mixed_precision = 23;
- Returns:
- This builder for chaining.
-
getDisableMetaOptimizer
public boolean getDisableMetaOptimizer()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19;
- Specified by:
getDisableMetaOptimizer
in interfaceRewriterConfigOrBuilder
- Returns:
- The disableMetaOptimizer.
-
setDisableMetaOptimizer
public RewriterConfig.Builder setDisableMetaOptimizer(boolean value)
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19;
- Parameters:
value
- The disableMetaOptimizer to set.- Returns:
- This builder for chaining.
-
clearDisableMetaOptimizer
public RewriterConfig.Builder clearDisableMetaOptimizer()
Disable the entire meta optimizer (off by default).
bool disable_meta_optimizer = 19;
- Returns:
- This builder for chaining.
-
getMetaOptimizerIterationsValue
public int getMetaOptimizerIterationsValue()
Controls how many times we run the optimizers in meta optimizer (default is once).
.org.platanios.tensorflow.proto.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
- Specified by:
getMetaOptimizerIterationsValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for metaOptimizerIterations.
-
setMetaOptimizerIterationsValue
public RewriterConfig.Builder setMetaOptimizerIterationsValue(int value)
Controls how many times we run the optimizers in meta optimizer (default is once).
.org.platanios.tensorflow.proto.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
- Parameters:
value
- The enum numeric value on the wire for metaOptimizerIterations to set.- Returns:
- This builder for chaining.
-
getMetaOptimizerIterations
public RewriterConfig.NumIterationsType getMetaOptimizerIterations()
Controls how many times we run the optimizers in meta optimizer (default is once).
.org.platanios.tensorflow.proto.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
- Specified by:
getMetaOptimizerIterations
in interfaceRewriterConfigOrBuilder
- Returns:
- The metaOptimizerIterations.
-
setMetaOptimizerIterations
public RewriterConfig.Builder setMetaOptimizerIterations(RewriterConfig.NumIterationsType value)
Controls how many times we run the optimizers in meta optimizer (default is once).
.org.platanios.tensorflow.proto.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
- Parameters:
value
- The metaOptimizerIterations to set.- Returns:
- This builder for chaining.
-
clearMetaOptimizerIterations
public RewriterConfig.Builder clearMetaOptimizerIterations()
Controls how many times we run the optimizers in meta optimizer (default is once).
.org.platanios.tensorflow.proto.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;
- Returns:
- This builder for chaining.
-
getMinGraphNodes
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;
- Specified by:
getMinGraphNodes
in interfaceRewriterConfigOrBuilder
- Returns:
- The minGraphNodes.
-
setMinGraphNodes
public RewriterConfig.Builder setMinGraphNodes(int value)
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;
- Parameters:
value
- The minGraphNodes to set.- Returns:
- This builder for chaining.
-
clearMinGraphNodes
public RewriterConfig.Builder clearMinGraphNodes()
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;
- Returns:
- This builder for chaining.
-
getMemoryOptimizationValue
public int getMemoryOptimizationValue()
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.org.platanios.tensorflow.proto.RewriterConfig.MemOptType memory_optimization = 4;
- Specified by:
getMemoryOptimizationValue
in interfaceRewriterConfigOrBuilder
- Returns:
- The enum numeric value on the wire for memoryOptimization.
-
setMemoryOptimizationValue
public RewriterConfig.Builder setMemoryOptimizationValue(int value)
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.org.platanios.tensorflow.proto.RewriterConfig.MemOptType memory_optimization = 4;
- Parameters:
value
- The enum numeric value on the wire for memoryOptimization to set.- Returns:
- This builder for chaining.
-
getMemoryOptimization
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.
.org.platanios.tensorflow.proto.RewriterConfig.MemOptType memory_optimization = 4;
- Specified by:
getMemoryOptimization
in interfaceRewriterConfigOrBuilder
- Returns:
- The memoryOptimization.
-
setMemoryOptimization
public RewriterConfig.Builder setMemoryOptimization(RewriterConfig.MemOptType value)
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.org.platanios.tensorflow.proto.RewriterConfig.MemOptType memory_optimization = 4;
- Parameters:
value
- The memoryOptimization to set.- Returns:
- This builder for chaining.
-
clearMemoryOptimization
public RewriterConfig.Builder clearMemoryOptimization()
Configures memory optimization passes through the meta-optimizer. Has no effect on manually requested memory optimization passes in the optimizers field.
.org.platanios.tensorflow.proto.RewriterConfig.MemOptType memory_optimization = 4;
- Returns:
- This builder for chaining.
-
getMemoryOptimizerTargetNodeNameScope
public java.lang.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;
- Specified by:
getMemoryOptimizerTargetNodeNameScope
in interfaceRewriterConfigOrBuilder
- Returns:
- The memoryOptimizerTargetNodeNameScope.
-
getMemoryOptimizerTargetNodeNameScopeBytes
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;
- Specified by:
getMemoryOptimizerTargetNodeNameScopeBytes
in interfaceRewriterConfigOrBuilder
- Returns:
- The bytes for memoryOptimizerTargetNodeNameScope.
-
setMemoryOptimizerTargetNodeNameScope
public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScope(java.lang.String value)
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;
- Parameters:
value
- The memoryOptimizerTargetNodeNameScope to set.- Returns:
- This builder for chaining.
-
clearMemoryOptimizerTargetNodeNameScope
public RewriterConfig.Builder clearMemoryOptimizerTargetNodeNameScope()
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;
- Returns:
- This builder for chaining.
-
setMemoryOptimizerTargetNodeNameScopeBytes
public RewriterConfig.Builder setMemoryOptimizerTargetNodeNameScopeBytes(com.google.protobuf.ByteString value)
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;
- Parameters:
value
- The bytes for memoryOptimizerTargetNodeNameScope to set.- Returns:
- This builder for chaining.
-
getMetaOptimizerTimeoutMs
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;
- Specified by:
getMetaOptimizerTimeoutMs
in interfaceRewriterConfigOrBuilder
- Returns:
- The metaOptimizerTimeoutMs.
-
setMetaOptimizerTimeoutMs
public RewriterConfig.Builder setMetaOptimizerTimeoutMs(long value)
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;
- Parameters:
value
- The metaOptimizerTimeoutMs to set.- Returns:
- This builder for chaining.
-
clearMetaOptimizerTimeoutMs
public RewriterConfig.Builder clearMetaOptimizerTimeoutMs()
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;
- Returns:
- This builder for chaining.
-
hasAutoParallel
public boolean hasAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
- Specified by:
hasAutoParallel
in interfaceRewriterConfigOrBuilder
- Returns:
- Whether the autoParallel field is set.
-
getAutoParallel
public AutoParallelOptions getAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
- Specified by:
getAutoParallel
in interfaceRewriterConfigOrBuilder
- Returns:
- The autoParallel.
-
setAutoParallel
public RewriterConfig.Builder setAutoParallel(AutoParallelOptions value)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
-
setAutoParallel
public RewriterConfig.Builder setAutoParallel(AutoParallelOptions.Builder builderForValue)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
-
mergeAutoParallel
public RewriterConfig.Builder mergeAutoParallel(AutoParallelOptions value)
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
-
clearAutoParallel
public RewriterConfig.Builder clearAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
-
getAutoParallelBuilder
public AutoParallelOptions.Builder getAutoParallelBuilder()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
-
getAutoParallelOrBuilder
public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.org.platanios.tensorflow.proto.AutoParallelOptions auto_parallel = 5;
- Specified by:
getAutoParallelOrBuilder
in interfaceRewriterConfigOrBuilder
-
getFailOnOptimizerErrors
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;
- Specified by:
getFailOnOptimizerErrors
in interfaceRewriterConfigOrBuilder
- Returns:
- The failOnOptimizerErrors.
-
setFailOnOptimizerErrors
public RewriterConfig.Builder setFailOnOptimizerErrors(boolean value)
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;
- Parameters:
value
- The failOnOptimizerErrors to set.- Returns:
- This builder for chaining.
-
clearFailOnOptimizerErrors
public RewriterConfig.Builder clearFailOnOptimizerErrors()
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;
- Returns:
- This builder for chaining.
-
hasScopedAllocatorOpts
public boolean hasScopedAllocatorOpts()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
- Specified by:
hasScopedAllocatorOpts
in interfaceRewriterConfigOrBuilder
- Returns:
- Whether the scopedAllocatorOpts field is set.
-
getScopedAllocatorOpts
public ScopedAllocatorOptions getScopedAllocatorOpts()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
- Specified by:
getScopedAllocatorOpts
in interfaceRewriterConfigOrBuilder
- Returns:
- The scopedAllocatorOpts.
-
setScopedAllocatorOpts
public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions value)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
-
setScopedAllocatorOpts
public RewriterConfig.Builder setScopedAllocatorOpts(ScopedAllocatorOptions.Builder builderForValue)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
-
mergeScopedAllocatorOpts
public RewriterConfig.Builder mergeScopedAllocatorOpts(ScopedAllocatorOptions value)
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
-
clearScopedAllocatorOpts
public RewriterConfig.Builder clearScopedAllocatorOpts()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
-
getScopedAllocatorOptsBuilder
public ScopedAllocatorOptions.Builder getScopedAllocatorOptsBuilder()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
-
getScopedAllocatorOptsOrBuilder
public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder()
.org.platanios.tensorflow.proto.ScopedAllocatorOptions scoped_allocator_opts = 16;
- Specified by:
getScopedAllocatorOptsOrBuilder
in interfaceRewriterConfigOrBuilder
-
getOptimizersList
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;
- Specified by:
getOptimizersList
in interfaceRewriterConfigOrBuilder
- Returns:
- A list containing the optimizers.
-
getOptimizersCount
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;
- Specified by:
getOptimizersCount
in interfaceRewriterConfigOrBuilder
- Returns:
- The count of optimizers.
-
getOptimizers
public java.lang.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;
- Specified by:
getOptimizers
in interfaceRewriterConfigOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The optimizers at the given index.
-
getOptimizersBytes
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;
- Specified by:
getOptimizersBytes
in interfaceRewriterConfigOrBuilder
- Parameters:
index
- The index of the value to return.- Returns:
- The bytes of the optimizers at the given index.
-
setOptimizers
public RewriterConfig.Builder setOptimizers(int index, java.lang.String value)
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;
- Parameters:
index
- The index to set the value at.value
- The optimizers to set.- Returns:
- This builder for chaining.
-
addOptimizers
public RewriterConfig.Builder addOptimizers(java.lang.String value)
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;
- Parameters:
value
- The optimizers to add.- Returns:
- This builder for chaining.
-
addAllOptimizers
public RewriterConfig.Builder addAllOptimizers(java.lang.Iterable<java.lang.String> values)
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;
- Parameters:
values
- The optimizers to add.- Returns:
- This builder for chaining.
-
clearOptimizers
public RewriterConfig.Builder clearOptimizers()
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;
- Returns:
- This builder for chaining.
-
addOptimizersBytes
public RewriterConfig.Builder addOptimizersBytes(com.google.protobuf.ByteString value)
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;
- Parameters:
value
- The bytes of the optimizers to add.- Returns:
- This builder for chaining.
-
getCustomOptimizersList
public java.util.List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
- Specified by:
getCustomOptimizersList
in interfaceRewriterConfigOrBuilder
-
getCustomOptimizersCount
public int getCustomOptimizersCount()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
- Specified by:
getCustomOptimizersCount
in interfaceRewriterConfigOrBuilder
-
getCustomOptimizers
public RewriterConfig.CustomGraphOptimizer getCustomOptimizers(int index)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
- Specified by:
getCustomOptimizers
in interfaceRewriterConfigOrBuilder
-
setCustomOptimizers
public RewriterConfig.Builder setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
setCustomOptimizers
public RewriterConfig.Builder setCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addCustomOptimizers
public RewriterConfig.Builder addCustomOptimizers(RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addCustomOptimizers
public RewriterConfig.Builder addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer value)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addCustomOptimizers
public RewriterConfig.Builder addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addCustomOptimizers
public RewriterConfig.Builder addCustomOptimizers(int index, RewriterConfig.CustomGraphOptimizer.Builder builderForValue)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addAllCustomOptimizers
public RewriterConfig.Builder addAllCustomOptimizers(java.lang.Iterable<? extends RewriterConfig.CustomGraphOptimizer> values)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
clearCustomOptimizers
public RewriterConfig.Builder clearCustomOptimizers()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
removeCustomOptimizers
public RewriterConfig.Builder removeCustomOptimizers(int index)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
getCustomOptimizersBuilder
public RewriterConfig.CustomGraphOptimizer.Builder getCustomOptimizersBuilder(int index)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
getCustomOptimizersOrBuilder
public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder(int index)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
- Specified by:
getCustomOptimizersOrBuilder
in interfaceRewriterConfigOrBuilder
-
getCustomOptimizersOrBuilderList
public java.util.List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder> getCustomOptimizersOrBuilderList()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
- Specified by:
getCustomOptimizersOrBuilderList
in interfaceRewriterConfigOrBuilder
-
addCustomOptimizersBuilder
public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
addCustomOptimizersBuilder
public RewriterConfig.CustomGraphOptimizer.Builder addCustomOptimizersBuilder(int index)
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
getCustomOptimizersBuilderList
public java.util.List<RewriterConfig.CustomGraphOptimizer.Builder> getCustomOptimizersBuilderList()
list of CustomGraphOptimizers to apply.
repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
-
hasInterOptimizerVerifierConfig
public boolean hasInterOptimizerVerifierConfig()
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
- Specified by:
hasInterOptimizerVerifierConfig
in interfaceRewriterConfigOrBuilder
- Returns:
- Whether the interOptimizerVerifierConfig field is set.
-
getInterOptimizerVerifierConfig
public VerifierConfig getInterOptimizerVerifierConfig()
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
- Specified by:
getInterOptimizerVerifierConfig
in interfaceRewriterConfigOrBuilder
- Returns:
- The interOptimizerVerifierConfig.
-
setInterOptimizerVerifierConfig
public RewriterConfig.Builder setInterOptimizerVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
-
setInterOptimizerVerifierConfig
public RewriterConfig.Builder setInterOptimizerVerifierConfig(VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
-
mergeInterOptimizerVerifierConfig
public RewriterConfig.Builder mergeInterOptimizerVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
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clearInterOptimizerVerifierConfig
public RewriterConfig.Builder clearInterOptimizerVerifierConfig()
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
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getInterOptimizerVerifierConfigBuilder
public VerifierConfig.Builder getInterOptimizerVerifierConfigBuilder()
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
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getInterOptimizerVerifierConfigOrBuilder
public VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder()
VerifierConfig specifying the verifiers to be run after every optimizer.
.org.platanios.tensorflow.proto.VerifierConfig inter_optimizer_verifier_config = 300;
- Specified by:
getInterOptimizerVerifierConfigOrBuilder
in interfaceRewriterConfigOrBuilder
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hasPostOptimizationVerifierConfig
public boolean hasPostOptimizationVerifierConfig()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
- Specified by:
hasPostOptimizationVerifierConfig
in interfaceRewriterConfigOrBuilder
- Returns:
- Whether the postOptimizationVerifierConfig field is set.
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getPostOptimizationVerifierConfig
public VerifierConfig getPostOptimizationVerifierConfig()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
- Specified by:
getPostOptimizationVerifierConfig
in interfaceRewriterConfigOrBuilder
- Returns:
- The postOptimizationVerifierConfig.
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setPostOptimizationVerifierConfig
public RewriterConfig.Builder setPostOptimizationVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
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setPostOptimizationVerifierConfig
public RewriterConfig.Builder setPostOptimizationVerifierConfig(VerifierConfig.Builder builderForValue)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
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mergePostOptimizationVerifierConfig
public RewriterConfig.Builder mergePostOptimizationVerifierConfig(VerifierConfig value)
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
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clearPostOptimizationVerifierConfig
public RewriterConfig.Builder clearPostOptimizationVerifierConfig()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
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getPostOptimizationVerifierConfigBuilder
public VerifierConfig.Builder getPostOptimizationVerifierConfigBuilder()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
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getPostOptimizationVerifierConfigOrBuilder
public VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder()
VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
.org.platanios.tensorflow.proto.VerifierConfig post_optimization_verifier_config = 301;
- Specified by:
getPostOptimizationVerifierConfigOrBuilder
in interfaceRewriterConfigOrBuilder
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setUnknownFields
public final RewriterConfig.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
setUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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mergeUnknownFields
public final RewriterConfig.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
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