Uses of Enum
org.tensorflow.proto.RewriterConfig.Toggle
Packages that use RewriterConfig.Toggle
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Uses of RewriterConfig.Toggle in org.tensorflow.proto
Subclasses with type arguments of type RewriterConfig.Toggle in org.tensorflow.protoModifier and TypeClassDescriptionstatic enumProtobuf enumtensorflow.RewriterConfig.ToggleMethods in org.tensorflow.proto that return RewriterConfig.ToggleModifier and TypeMethodDescriptionstatic RewriterConfig.ToggleRewriterConfig.Toggle.forNumber(int value) RewriterConfig.Builder.getArithmeticOptimization()Arithmetic optimizations (default is ON) e.g.RewriterConfig.getArithmeticOptimization()Arithmetic optimizations (default is ON) e.g.RewriterConfigOrBuilder.getArithmeticOptimization()Arithmetic optimizations (default is ON) e.g.RewriterConfig.Builder.getAutoMixedPrecision()Optimize data types for CUDA/oneDNN (default is OFF).RewriterConfig.getAutoMixedPrecision()Optimize data types for CUDA/oneDNN (default is OFF).RewriterConfigOrBuilder.getAutoMixedPrecision()Optimize data types for CUDA/oneDNN (default is OFF).RewriterConfig.Builder.getAutoMixedPrecisionCpu()Emulate a model using data type float16 on CPU (default is OFF).RewriterConfig.getAutoMixedPrecisionCpu()Emulate a model using data type float16 on CPU (default is OFF).RewriterConfigOrBuilder.getAutoMixedPrecisionCpu()Emulate a model using data type float16 on CPU (default is OFF).RewriterConfig.Builder.getAutoMixedPrecisionMkl()Optimize data types for oneDNN (default is OFF).RewriterConfig.getAutoMixedPrecisionMkl()Optimize data types for oneDNN (default is OFF).RewriterConfigOrBuilder.getAutoMixedPrecisionMkl()Optimize data types for oneDNN (default is OFF).RewriterConfig.Builder.getAutoMixedPrecisionOnednnBfloat16()Optimize data types for oneDNN (default is OFF).RewriterConfig.getAutoMixedPrecisionOnednnBfloat16()Optimize data types for oneDNN (default is OFF).RewriterConfigOrBuilder.getAutoMixedPrecisionOnednnBfloat16()Optimize data types for oneDNN (default is OFF).RewriterConfig.Builder.getCommonSubgraphElimination()Common subgraph elimination (default is ON) e.g.RewriterConfig.getCommonSubgraphElimination()Common subgraph elimination (default is ON) e.g.RewriterConfigOrBuilder.getCommonSubgraphElimination()Common subgraph elimination (default is ON) e.g.RewriterConfig.Builder.getConstantFolding()Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.getConstantFolding()Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfigOrBuilder.getConstantFolding()Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.Builder.getDebugStripper()Strips debug-related nodes from the graph (off by default).RewriterConfig.getDebugStripper()Strips debug-related nodes from the graph (off by default).RewriterConfigOrBuilder.getDebugStripper()Strips debug-related nodes from the graph (off by default).RewriterConfig.Builder.getDependencyOptimization()Control dependency optimizations (default is ON).RewriterConfig.getDependencyOptimization()Control dependency optimizations (default is ON).RewriterConfigOrBuilder.getDependencyOptimization()Control dependency optimizations (default is ON).RewriterConfig.Builder.getExperimentalConditionalCodeMotion()Conditional code motion (default is ON).RewriterConfig.getExperimentalConditionalCodeMotion()Conditional code motion (default is ON).RewriterConfigOrBuilder.getExperimentalConditionalCodeMotion()Conditional code motion (default is ON).RewriterConfig.Builder.getFunctionOptimization()Function optimizations (default is ON).RewriterConfig.getFunctionOptimization()Function optimizations (default is ON).RewriterConfigOrBuilder.getFunctionOptimization()Function optimizations (default is ON).RewriterConfig.Builder.getImplementationSelector()Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.getImplementationSelector()Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfigOrBuilder.getImplementationSelector()Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.Builder.getLayoutOptimizer()Optimize tensor layouts (default is ON) e.g.RewriterConfig.getLayoutOptimizer()Optimize tensor layouts (default is ON) e.g.RewriterConfigOrBuilder.getLayoutOptimizer()Optimize tensor layouts (default is ON) e.g.RewriterConfig.Builder.getLoopOptimization()Loop optimizations (default is ON).RewriterConfig.getLoopOptimization()Loop optimizations (default is ON).RewriterConfigOrBuilder.getLoopOptimization()Loop optimizations (default is ON).RewriterConfig.Builder.getPinToHostOptimization()Force small ops onto the CPU (default is OFF).RewriterConfig.getPinToHostOptimization()Force small ops onto the CPU (default is OFF).RewriterConfigOrBuilder.getPinToHostOptimization()Force small ops onto the CPU (default is OFF).RewriterConfig.Builder.getRemapping()Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.getRemapping()Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfigOrBuilder.getRemapping()Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.Builder.getScopedAllocatorOptimization()Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.getScopedAllocatorOptimization()Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfigOrBuilder.getScopedAllocatorOptimization()Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.Builder.getShapeOptimization()Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.getShapeOptimization()Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfigOrBuilder.getShapeOptimization()Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.Builder.getUsePluginOptimizers()Optimizers registered by plugin (default is ON)RewriterConfig.getUsePluginOptimizers()Optimizers registered by plugin (default is ON)RewriterConfigOrBuilder.getUsePluginOptimizers()Optimizers registered by plugin (default is ON)static RewriterConfig.ToggleRewriterConfig.Toggle.valueOf(int value) Deprecated.static RewriterConfig.ToggleRewriterConfig.Toggle.valueOf(Descriptors.EnumValueDescriptor desc) Returns the enum constant of this type with the specified name.static RewriterConfig.ToggleReturns the enum constant of this type with the specified name.static RewriterConfig.Toggle[]RewriterConfig.Toggle.values()Returns an array containing the constants of this enum type, in the order they are declared.Methods in org.tensorflow.proto that return types with arguments of type RewriterConfig.ToggleMethods in org.tensorflow.proto with parameters of type RewriterConfig.ToggleModifier and TypeMethodDescriptionRewriterConfig.Builder.setArithmeticOptimization(RewriterConfig.Toggle value) Arithmetic optimizations (default is ON) e.g.RewriterConfig.Builder.setAutoMixedPrecision(RewriterConfig.Toggle value) Optimize data types for CUDA/oneDNN (default is OFF).RewriterConfig.Builder.setAutoMixedPrecisionCpu(RewriterConfig.Toggle value) Emulate a model using data type float16 on CPU (default is OFF).RewriterConfig.Builder.setAutoMixedPrecisionMkl(RewriterConfig.Toggle value) Optimize data types for oneDNN (default is OFF).RewriterConfig.Builder.setAutoMixedPrecisionOnednnBfloat16(RewriterConfig.Toggle value) Optimize data types for oneDNN (default is OFF).RewriterConfig.Builder.setCommonSubgraphElimination(RewriterConfig.Toggle value) Common subgraph elimination (default is ON) e.g.RewriterConfig.Builder.setConstantFolding(RewriterConfig.Toggle value) Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.RewriterConfig.Builder.setDebugStripper(RewriterConfig.Toggle value) Strips debug-related nodes from the graph (off by default).RewriterConfig.Builder.setDependencyOptimization(RewriterConfig.Toggle value) Control dependency optimizations (default is ON).RewriterConfig.Builder.setExperimentalConditionalCodeMotion(RewriterConfig.Toggle value) Conditional code motion (default is ON).RewriterConfig.Builder.setFunctionOptimization(RewriterConfig.Toggle value) Function optimizations (default is ON).RewriterConfig.Builder.setImplementationSelector(RewriterConfig.Toggle value) Enable the swap of kernel implementations based on the device placement (default is ON).RewriterConfig.Builder.setLayoutOptimizer(RewriterConfig.Toggle value) Optimize tensor layouts (default is ON) e.g.RewriterConfig.Builder.setLoopOptimization(RewriterConfig.Toggle value) Loop optimizations (default is ON).RewriterConfig.Builder.setPinToHostOptimization(RewriterConfig.Toggle value) Force small ops onto the CPU (default is OFF).RewriterConfig.Builder.setRemapping(RewriterConfig.Toggle value) Remapping (default is ON) Remap subgraphs onto more efficient implementations.RewriterConfig.Builder.setScopedAllocatorOptimization(RewriterConfig.Toggle value) Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).RewriterConfig.Builder.setShapeOptimization(RewriterConfig.Toggle value) Shape optimizations (default is ON) Simplify computations made on shapes.RewriterConfig.Builder.setUsePluginOptimizers(RewriterConfig.Toggle value) Optimizers registered by plugin (default is ON)