Interface OptimizerOptionsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
OptimizerOptions, OptimizerOptions.Builder

public interface OptimizerOptionsOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Summary

    Modifier and Type
    Method
    Description
    boolean
    CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
    boolean
    If true, optimize the graph using common subexpression elimination.
    boolean
    If true, perform constant folding optimization on the graph.
    boolean
    If true, perform function inlining on the graph.
    .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
    int
    .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
    long
    Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
    Overall optimization level.
    int
    Overall optimization level.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
  • Method Details

    • getDoCommonSubexpressionElimination

      boolean getDoCommonSubexpressionElimination()
       If true, optimize the graph using common subexpression elimination.
       Note: the optimization Level L1 will override this setting to true. So in
       order to disable common subexpression elimination the opt_level has to be
       set to L0.
       
      bool do_common_subexpression_elimination = 1;
      Returns:
      The doCommonSubexpressionElimination.
    • getDoConstantFolding

      boolean getDoConstantFolding()
       If true, perform constant folding optimization on the graph.
       Note: the optimization Level L1 will override this setting to true. So in
       order to disable constant folding the opt_level has to be set to L0.
       
      bool do_constant_folding = 2;
      Returns:
      The doConstantFolding.
    • getMaxFoldedConstantInBytes

      long getMaxFoldedConstantInBytes()
       Constant folding optimization replaces tensors whose values can be
       predetermined, with constant nodes. To avoid inserting too large constants,
       the size of each constant created can be limited. If this value is zero, a
       default limit of 10 MiB will be applied. If constant folding optimization
       is disabled, this value is ignored.
       
      int64 max_folded_constant_in_bytes = 6;
      Returns:
      The maxFoldedConstantInBytes.
    • getDoFunctionInlining

      boolean getDoFunctionInlining()
       If true, perform function inlining on the graph.
       
      bool do_function_inlining = 4;
      Returns:
      The doFunctionInlining.
    • getOptLevelValue

      int getOptLevelValue()
       Overall optimization level. The actual optimizations applied will be the
       logical OR of the flags that this level implies and any flags already set.
       
      .tensorflow.OptimizerOptions.Level opt_level = 3;
      Returns:
      The enum numeric value on the wire for optLevel.
    • getOptLevel

      OptimizerOptions.Level getOptLevel()
       Overall optimization level. The actual optimizations applied will be the
       logical OR of the flags that this level implies and any flags already set.
       
      .tensorflow.OptimizerOptions.Level opt_level = 3;
      Returns:
      The optLevel.
    • getGlobalJitLevelValue

      int getGlobalJitLevelValue()
      .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
      Returns:
      The enum numeric value on the wire for globalJitLevel.
    • getGlobalJitLevel

      OptimizerOptions.GlobalJitLevel getGlobalJitLevel()
      .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
      Returns:
      The globalJitLevel.
    • getCpuGlobalJit

      boolean getCpuGlobalJit()
       CPU code will be autoclustered only if global_jit_level >= ON_1 and either:
        - this flag is true, or
        - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
       
      bool cpu_global_jit = 7;
      Returns:
      The cpuGlobalJit.