Package org.tensorflow.framework
Class RewriterConfig
- java.lang.Object
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- org.nd4j.shade.protobuf.AbstractMessageLite
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- org.nd4j.shade.protobuf.AbstractMessage
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- org.nd4j.shade.protobuf.GeneratedMessageV3
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- org.tensorflow.framework.RewriterConfig
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- All Implemented Interfaces:
Serializable,org.nd4j.shade.protobuf.Message,org.nd4j.shade.protobuf.MessageLite,org.nd4j.shade.protobuf.MessageLiteOrBuilder,org.nd4j.shade.protobuf.MessageOrBuilder,RewriterConfigOrBuilder
public final class RewriterConfig extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements RewriterConfigOrBuilder
Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
Protobuf typetensorflow.RewriterConfig- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classRewriterConfig.BuilderGraph rewriting is experimental and subject to change, not covered by any API stability guarantees.static classRewriterConfig.CustomGraphOptimizerMessage to describe custom graph optimizer and its parametersstatic interfaceRewriterConfig.CustomGraphOptimizerOrBuilderstatic classRewriterConfig.MemOptTypeProtobuf enumtensorflow.RewriterConfig.MemOptTypestatic classRewriterConfig.NumIterationsTypeEnum controlling the number of times to run optimizers.static classRewriterConfig.ToggleProtobuf enumtensorflow.RewriterConfig.Toggle-
Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter
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Field Summary
Fields Modifier and Type Field Description static intARITHMETIC_OPTIMIZATION_FIELD_NUMBERstatic intAUTO_PARALLEL_FIELD_NUMBERstatic intCONSTANT_FOLDING_FIELD_NUMBERstatic intCUSTOM_OPTIMIZERS_FIELD_NUMBERstatic intDEBUG_STRIPPER_FIELD_NUMBERstatic intDEPENDENCY_OPTIMIZATION_FIELD_NUMBERstatic intDISABLE_MODEL_PRUNING_FIELD_NUMBERstatic intFUNCTION_OPTIMIZATION_FIELD_NUMBERstatic intLAYOUT_OPTIMIZER_FIELD_NUMBERstatic intLOOP_OPTIMIZATION_FIELD_NUMBERstatic intMEMORY_OPTIMIZATION_FIELD_NUMBERstatic intMEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBERstatic intMETA_OPTIMIZER_ITERATIONS_FIELD_NUMBERstatic intOPTIMIZERS_FIELD_NUMBERstatic intREMAPPING_FIELD_NUMBERstatic intSCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBERstatic intSCOPED_ALLOCATOR_OPTS_FIELD_NUMBERstatic intSHAPE_OPTIMIZATION_FIELD_NUMBER
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description booleanequals(Object obj)RewriterConfig.TogglegetArithmeticOptimization()Arithmetic optimizations (default is ON) e.g.intgetArithmeticOptimizationValue()Arithmetic optimizations (default is ON) e.g.AutoParallelOptionsgetAutoParallel()Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.AutoParallelOptionsOrBuildergetAutoParallelOrBuilder()Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.RewriterConfig.TogglegetConstantFolding()Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.intgetConstantFoldingValue()Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.CustomGraphOptimizergetCustomOptimizers(int index)list of CustomGraphOptimizers to apply.intgetCustomOptimizersCount()list of CustomGraphOptimizers to apply.List<RewriterConfig.CustomGraphOptimizer>getCustomOptimizersList()list of CustomGraphOptimizers to apply.RewriterConfig.CustomGraphOptimizerOrBuildergetCustomOptimizersOrBuilder(int index)list of CustomGraphOptimizers to apply.List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder>getCustomOptimizersOrBuilderList()list of CustomGraphOptimizers to apply.RewriterConfig.TogglegetDebugStripper()Strips debug-related nodes from the graph (off by default).intgetDebugStripperValue()Strips debug-related nodes from the graph (off by default).static RewriterConfiggetDefaultInstance()RewriterConfiggetDefaultInstanceForType()RewriterConfig.TogglegetDependencyOptimization()Control dependency optimizations (default is ON).intgetDependencyOptimizationValue()Control dependency optimizations (default is ON).static org.nd4j.shade.protobuf.Descriptors.DescriptorgetDescriptor()booleangetDisableModelPruning()If true, don't remove unnecessary ops from the graphRewriterConfig.TogglegetFunctionOptimization()Function optimizations (default is ON).intgetFunctionOptimizationValue()Function optimizations (default is ON).RewriterConfig.TogglegetLayoutOptimizer()Optimize tensor layouts (default is ON) e.g.intgetLayoutOptimizerValue()Optimize tensor layouts (default is ON) e.g.RewriterConfig.TogglegetLoopOptimization()Loop optimizations (default is ON).intgetLoopOptimizationValue()Loop optimizations (default is ON).RewriterConfig.MemOptTypegetMemoryOptimization()Configures memory optimization passes through the meta-optimizer.intgetMemoryOptimizationValue()Configures memory optimization passes through the meta-optimizer.StringgetMemoryOptimizerTargetNodeNameScope()A node name scope for node names which are valid outputs of recompuations.org.nd4j.shade.protobuf.ByteStringgetMemoryOptimizerTargetNodeNameScopeBytes()A node name scope for node names which are valid outputs of recompuations.RewriterConfig.NumIterationsTypegetMetaOptimizerIterations()Controls how many times we run the optimizers in meta optimizer (default is once).intgetMetaOptimizerIterationsValue()Controls how many times we run the optimizers in meta optimizer (default is once).StringgetOptimizers(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).org.nd4j.shade.protobuf.ByteStringgetOptimizersBytes(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).intgetOptimizersCount()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).org.nd4j.shade.protobuf.ProtocolStringListgetOptimizersList()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).org.nd4j.shade.protobuf.Parser<RewriterConfig>getParserForType()RewriterConfig.TogglegetRemapping()Remapping (default is ON) Remap subgraphs onto more efficient implementations.intgetRemappingValue()Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.TogglegetScopedAllocatorOptimization()Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).intgetScopedAllocatorOptimizationValue()Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).ScopedAllocatorOptionsgetScopedAllocatorOpts().tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;ScopedAllocatorOptionsOrBuildergetScopedAllocatorOptsOrBuilder().tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;intgetSerializedSize()RewriterConfig.TogglegetShapeOptimization()Shape optimizations (default is ON) Simplify computations made on shapes.intgetShapeOptimizationValue()Shape optimizations (default is ON) Simplify computations made on shapes.org.nd4j.shade.protobuf.UnknownFieldSetgetUnknownFields()booleanhasAutoParallel()Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.inthashCode()booleanhasScopedAllocatorOpts().tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()booleanisInitialized()static RewriterConfig.BuildernewBuilder()static RewriterConfig.BuildernewBuilder(RewriterConfig prototype)RewriterConfig.BuildernewBuilderForType()protected RewriterConfig.BuildernewBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)protected ObjectnewInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)static RewriterConfigparseDelimitedFrom(InputStream input)static RewriterConfigparseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static RewriterConfigparseFrom(byte[] data)static RewriterConfigparseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static RewriterConfigparseFrom(InputStream input)static RewriterConfigparseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static RewriterConfigparseFrom(ByteBuffer data)static RewriterConfigparseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static RewriterConfigparseFrom(org.nd4j.shade.protobuf.ByteString data)static RewriterConfigparseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static RewriterConfigparseFrom(org.nd4j.shade.protobuf.CodedInputStream input)static RewriterConfigparseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static org.nd4j.shade.protobuf.Parser<RewriterConfig>parser()RewriterConfig.BuildertoBuilder()voidwriteTo(org.nd4j.shade.protobuf.CodedOutputStream output)-
Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Field Detail
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LAYOUT_OPTIMIZER_FIELD_NUMBER
public static final int LAYOUT_OPTIMIZER_FIELD_NUMBER
- See Also:
- Constant Field Values
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CONSTANT_FOLDING_FIELD_NUMBER
public static final int CONSTANT_FOLDING_FIELD_NUMBER
- See Also:
- Constant Field Values
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SHAPE_OPTIMIZATION_FIELD_NUMBER
public static final int SHAPE_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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REMAPPING_FIELD_NUMBER
public static final int REMAPPING_FIELD_NUMBER
- See Also:
- Constant Field Values
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ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
public static final int ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
public static final int DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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LOOP_OPTIMIZATION_FIELD_NUMBER
public static final int LOOP_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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FUNCTION_OPTIMIZATION_FIELD_NUMBER
public static final int FUNCTION_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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DEBUG_STRIPPER_FIELD_NUMBER
public static final int DEBUG_STRIPPER_FIELD_NUMBER
- See Also:
- Constant Field Values
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DISABLE_MODEL_PRUNING_FIELD_NUMBER
public static final int DISABLE_MODEL_PRUNING_FIELD_NUMBER
- See Also:
- Constant Field Values
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SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
public static final int SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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META_OPTIMIZER_ITERATIONS_FIELD_NUMBER
public static final int META_OPTIMIZER_ITERATIONS_FIELD_NUMBER
- See Also:
- Constant Field Values
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MEMORY_OPTIMIZATION_FIELD_NUMBER
public static final int MEMORY_OPTIMIZATION_FIELD_NUMBER
- See Also:
- Constant Field Values
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MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
public static final int MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
- See Also:
- Constant Field Values
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AUTO_PARALLEL_FIELD_NUMBER
public static final int AUTO_PARALLEL_FIELD_NUMBER
- See Also:
- Constant Field Values
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SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
public static final int SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
- See Also:
- Constant Field Values
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OPTIMIZERS_FIELD_NUMBER
public static final int OPTIMIZERS_FIELD_NUMBER
- See Also:
- Constant Field Values
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CUSTOM_OPTIMIZERS_FIELD_NUMBER
public static final int CUSTOM_OPTIMIZERS_FIELD_NUMBER
- See Also:
- Constant Field Values
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Method Detail
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newInstance
protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstancein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getUnknownFields
public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
- Specified by:
getUnknownFieldsin interfaceorg.nd4j.shade.protobuf.MessageOrBuilder- Overrides:
getUnknownFieldsin classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDescriptor
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTablein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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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.
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;- Specified by:
getLayoutOptimizerValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for layoutOptimizer.
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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.
.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;- Specified by:
getLayoutOptimizerin interfaceRewriterConfigOrBuilder- Returns:
- The layoutOptimizer.
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getConstantFoldingValue
public int getConstantFoldingValue()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.tensorflow.RewriterConfig.Toggle constant_folding = 3;- Specified by:
getConstantFoldingValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for constantFolding.
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getConstantFolding
public RewriterConfig.Toggle getConstantFolding()
Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
.tensorflow.RewriterConfig.Toggle constant_folding = 3;- Specified by:
getConstantFoldingin interfaceRewriterConfigOrBuilder- Returns:
- The constantFolding.
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getShapeOptimizationValue
public int getShapeOptimizationValue()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;- Specified by:
getShapeOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for shapeOptimization.
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getShapeOptimization
public RewriterConfig.Toggle getShapeOptimization()
Shape optimizations (default is ON) Simplify computations made on shapes.
.tensorflow.RewriterConfig.Toggle shape_optimization = 13;- Specified by:
getShapeOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The shapeOptimization.
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getRemappingValue
public int getRemappingValue()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14;- Specified by:
getRemappingValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for remapping.
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getRemapping
public RewriterConfig.Toggle getRemapping()
Remapping (default is ON) Remap subgraphs onto more efficient implementations.
.tensorflow.RewriterConfig.Toggle remapping = 14;- Specified by:
getRemappingin interfaceRewriterConfigOrBuilder- Returns:
- The remapping.
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getArithmeticOptimizationValue
public int getArithmeticOptimizationValue()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;- Specified by:
getArithmeticOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for arithmeticOptimization.
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getArithmeticOptimization
public RewriterConfig.Toggle getArithmeticOptimization()
Arithmetic optimizations (default is ON) e.g. Simplify arithmetic ops; merge ops with same value (like constants).
.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;- Specified by:
getArithmeticOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The arithmeticOptimization.
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getDependencyOptimizationValue
public int getDependencyOptimizationValue()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;- Specified by:
getDependencyOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for dependencyOptimization.
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getDependencyOptimization
public RewriterConfig.Toggle getDependencyOptimization()
Control dependency optimizations (default is ON). Remove redundant control dependencies, which may enable other optimization.
.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;- Specified by:
getDependencyOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The dependencyOptimization.
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getLoopOptimizationValue
public int getLoopOptimizationValue()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;- Specified by:
getLoopOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for loopOptimization.
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getLoopOptimization
public RewriterConfig.Toggle getLoopOptimization()
Loop optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle loop_optimization = 9;- Specified by:
getLoopOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The loopOptimization.
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getFunctionOptimizationValue
public int getFunctionOptimizationValue()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10;- Specified by:
getFunctionOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for functionOptimization.
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getFunctionOptimization
public RewriterConfig.Toggle getFunctionOptimization()
Function optimizations (default is ON).
.tensorflow.RewriterConfig.Toggle function_optimization = 10;- Specified by:
getFunctionOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The functionOptimization.
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getDebugStripperValue
public int getDebugStripperValue()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;- Specified by:
getDebugStripperValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for debugStripper.
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getDebugStripper
public RewriterConfig.Toggle getDebugStripper()
Strips debug-related nodes from the graph (off by default).
.tensorflow.RewriterConfig.Toggle debug_stripper = 11;- Specified by:
getDebugStripperin interfaceRewriterConfigOrBuilder- Returns:
- The debugStripper.
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getDisableModelPruning
public boolean getDisableModelPruning()
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;- Specified by:
getDisableModelPruningin interfaceRewriterConfigOrBuilder- Returns:
- The disableModelPruning.
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getScopedAllocatorOptimizationValue
public int getScopedAllocatorOptimizationValue()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;- Specified by:
getScopedAllocatorOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for scopedAllocatorOptimization.
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getScopedAllocatorOptimization
public RewriterConfig.Toggle getScopedAllocatorOptimization()
Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;- Specified by:
getScopedAllocatorOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The scopedAllocatorOptimization.
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getMetaOptimizerIterationsValue
public int getMetaOptimizerIterationsValue()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;- Specified by:
getMetaOptimizerIterationsValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for metaOptimizerIterations.
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getMetaOptimizerIterations
public RewriterConfig.NumIterationsType getMetaOptimizerIterations()
Controls how many times we run the optimizers in meta optimizer (default is once).
.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;- Specified by:
getMetaOptimizerIterationsin interfaceRewriterConfigOrBuilder- Returns:
- The metaOptimizerIterations.
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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.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;- Specified by:
getMemoryOptimizationValuein interfaceRewriterConfigOrBuilder- Returns:
- The enum numeric value on the wire for memoryOptimization.
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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.
.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;- Specified by:
getMemoryOptimizationin interfaceRewriterConfigOrBuilder- Returns:
- The memoryOptimization.
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getMemoryOptimizerTargetNodeNameScope
public String getMemoryOptimizerTargetNodeNameScope()
A node name scope for node names which are valid outputs of recompuations. 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:
getMemoryOptimizerTargetNodeNameScopein interfaceRewriterConfigOrBuilder- Returns:
- The memoryOptimizerTargetNodeNameScope.
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getMemoryOptimizerTargetNodeNameScopeBytes
public org.nd4j.shade.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes()
A node name scope for node names which are valid outputs of recompuations. 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:
getMemoryOptimizerTargetNodeNameScopeBytesin interfaceRewriterConfigOrBuilder- Returns:
- The bytes for memoryOptimizerTargetNodeNameScope.
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hasAutoParallel
public boolean hasAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5;- Specified by:
hasAutoParallelin interfaceRewriterConfigOrBuilder- Returns:
- Whether the autoParallel field is set.
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getAutoParallel
public AutoParallelOptions getAutoParallel()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5;- Specified by:
getAutoParallelin interfaceRewriterConfigOrBuilder- Returns:
- The autoParallel.
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getAutoParallelOrBuilder
public AutoParallelOptionsOrBuilder getAutoParallelOrBuilder()
Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
.tensorflow.AutoParallelOptions auto_parallel = 5;- Specified by:
getAutoParallelOrBuilderin interfaceRewriterConfigOrBuilder
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hasScopedAllocatorOpts
public boolean hasScopedAllocatorOpts()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;- Specified by:
hasScopedAllocatorOptsin interfaceRewriterConfigOrBuilder- Returns:
- Whether the scopedAllocatorOpts field is set.
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getScopedAllocatorOpts
public ScopedAllocatorOptions getScopedAllocatorOpts()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;- Specified by:
getScopedAllocatorOptsin interfaceRewriterConfigOrBuilder- Returns:
- The scopedAllocatorOpts.
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getScopedAllocatorOptsOrBuilder
public ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder()
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;- Specified by:
getScopedAllocatorOptsOrBuilderin interfaceRewriterConfigOrBuilder
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getOptimizersList
public org.nd4j.shade.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 registered optimizers will be run after the base optimizers, in the order that they are specified.repeated string optimizers = 100;- Specified by:
getOptimizersListin interfaceRewriterConfigOrBuilder- Returns:
- A list containing the optimizers.
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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 registered optimizers will be run after the base optimizers, in the order that they are specified.repeated string optimizers = 100;- Specified by:
getOptimizersCountin interfaceRewriterConfigOrBuilder- Returns:
- The count of optimizers.
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getOptimizers
public String getOptimizers(int index)
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer). Of the RewriterConfig options, only the AutoParallel configuration options (the auto_parallel field) apply to manually requested optimization passes ("autoparallel"). Memory optimization passes ("memory") invoked here are not configurable (in contrast to memory optimization passes through the meta-optimizer) and act only on manual op annotations. Custom registered optimizers will be run after the base optimizers, in the order that they are specified.repeated string optimizers = 100;- Specified by:
getOptimizersin interfaceRewriterConfigOrBuilder- Parameters:
index- The index of the element to return.- Returns:
- The optimizers at the given index.
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getOptimizersBytes
public org.nd4j.shade.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 registered optimizers will be run after the base optimizers, in the order that they are specified.repeated string optimizers = 100;- Specified by:
getOptimizersBytesin interfaceRewriterConfigOrBuilder- Parameters:
index- The index of the value to return.- Returns:
- The bytes of the optimizers at the given index.
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getCustomOptimizersList
public List<RewriterConfig.CustomGraphOptimizer> getCustomOptimizersList()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;- Specified by:
getCustomOptimizersListin interfaceRewriterConfigOrBuilder
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getCustomOptimizersOrBuilderList
public List<? extends RewriterConfig.CustomGraphOptimizerOrBuilder> getCustomOptimizersOrBuilderList()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;- Specified by:
getCustomOptimizersOrBuilderListin interfaceRewriterConfigOrBuilder
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getCustomOptimizersCount
public int getCustomOptimizersCount()
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;- Specified by:
getCustomOptimizersCountin interfaceRewriterConfigOrBuilder
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getCustomOptimizers
public RewriterConfig.CustomGraphOptimizer getCustomOptimizers(int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;- Specified by:
getCustomOptimizersin interfaceRewriterConfigOrBuilder
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getCustomOptimizersOrBuilder
public RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder(int index)
list of CustomGraphOptimizers to apply.
repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;- Specified by:
getCustomOptimizersOrBuilderin interfaceRewriterConfigOrBuilder
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitializedin interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classorg.nd4j.shade.protobuf.GeneratedMessageV3
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writeTo
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws IOException- Specified by:
writeToin interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
writeToin classorg.nd4j.shade.protobuf.GeneratedMessageV3- Throws:
IOException
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getSerializedSize
public int getSerializedSize()
- Specified by:
getSerializedSizein interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
getSerializedSizein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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equals
public boolean equals(Object obj)
- Specified by:
equalsin interfaceorg.nd4j.shade.protobuf.Message- Overrides:
equalsin classorg.nd4j.shade.protobuf.AbstractMessage
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hashCode
public int hashCode()
- Specified by:
hashCodein interfaceorg.nd4j.shade.protobuf.Message- Overrides:
hashCodein classorg.nd4j.shade.protobuf.AbstractMessage
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parseFrom
public static RewriterConfig parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static RewriterConfig parseFrom(InputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static RewriterConfig parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static RewriterConfig parseDelimitedFrom(InputStream input) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static RewriterConfig parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseFrom
public static RewriterConfig parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static RewriterConfig parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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newBuilderForType
public RewriterConfig.Builder newBuilderForType()
- Specified by:
newBuilderForTypein interfaceorg.nd4j.shade.protobuf.Message- Specified by:
newBuilderForTypein interfaceorg.nd4j.shade.protobuf.MessageLite
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newBuilder
public static RewriterConfig.Builder newBuilder()
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newBuilder
public static RewriterConfig.Builder newBuilder(RewriterConfig prototype)
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toBuilder
public RewriterConfig.Builder toBuilder()
- Specified by:
toBuilderin interfaceorg.nd4j.shade.protobuf.Message- Specified by:
toBuilderin interfaceorg.nd4j.shade.protobuf.MessageLite
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newBuilderForType
protected RewriterConfig.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForTypein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstance
public static RewriterConfig getDefaultInstance()
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parser
public static org.nd4j.shade.protobuf.Parser<RewriterConfig> parser()
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getParserForType
public org.nd4j.shade.protobuf.Parser<RewriterConfig> getParserForType()
- Specified by:
getParserForTypein interfaceorg.nd4j.shade.protobuf.Message- Specified by:
getParserForTypein interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
getParserForTypein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstanceForType
public RewriterConfig getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForTypein interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
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