Class RewriterConfig.Builder

  • 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 type org.platanios.tensorflow.proto.RewriterConfig
    • Method Detail

      • getDescriptor

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

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • clear

        public RewriterConfig.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • getDefaultInstanceForType

        public RewriterConfig getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
      • build

        public RewriterConfig build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder
      • buildPartial

        public RewriterConfig buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder
      • clone

        public RewriterConfig.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.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 interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • clearField

        public RewriterConfig.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • clearOneof

        public RewriterConfig.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.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 interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.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 interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • mergeFrom

        public RewriterConfig.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>
      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • mergeFrom

        public RewriterConfig.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                         throws java.io.IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RewriterConfig.Builder>
        Throws:
        java.io.IOException
      • 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 interface RewriterConfigOrBuilder
        Returns:
        The enum numeric value on the wire for layoutOptimizer.
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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.
      • 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 interface RewriterConfigOrBuilder
        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.
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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.
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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.
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        Returns:
        Whether the scopedAllocatorOpts field is set.
      • 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;
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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.
      • getCustomOptimizersCount

        public int getCustomOptimizersCount()
         list of CustomGraphOptimizers to apply.
         
        repeated .org.platanios.tensorflow.proto.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;
        Specified by:
        getCustomOptimizersCount in interface RewriterConfigOrBuilder
      • 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;
      • 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 interface RewriterConfigOrBuilder
        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 interface RewriterConfigOrBuilder
        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;
      • 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;
      • 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;
      • 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 interface RewriterConfigOrBuilder
        Returns:
        Whether the postOptimizationVerifierConfig field is set.
      • 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 interface RewriterConfigOrBuilder
        Returns:
        The postOptimizationVerifierConfig.
      • 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;
      • 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;
      • 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;
      • 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;
      • 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;
      • setUnknownFields

        public final RewriterConfig.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>
      • mergeUnknownFields

        public final RewriterConfig.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RewriterConfig.Builder>