org.tensorflow.framework.OptimizerOptionsOrBuilder Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of serving-proto

A Java Library for Protobuf in TensorFlow and TensorFlow-Serving

The newest version!

// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto

package org.tensorflow.framework;

public interface OptimizerOptionsOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.OptimizerOptions)
    com.google.protobuf.MessageOrBuilder {

  /**
   *    * If true, optimize the graph using common subexpression elimination.
   * 
   *
   * bool do_common_subexpression_elimination = 1;
   */
  boolean getDoCommonSubexpressionElimination();

  /**
   *    * If true, perform constant folding optimization on the graph.
   * 
   *
   * bool do_constant_folding = 2;
   */
  boolean getDoConstantFolding();

  /**
   *    * 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;
   */
  long getMaxFoldedConstantInBytes();

  /**
   *    * If true, perform function inlining on the graph.
   * 
   *
   * bool do_function_inlining = 4;
   */
  boolean getDoFunctionInlining();

  /**
   *    * 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;
   */
  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;
   */
  org.tensorflow.framework.OptimizerOptions.Level getOptLevel();

  /**
   * .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
   */
  int getGlobalJitLevelValue();
  /**
   * .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
   */
  org.tensorflow.framework.OptimizerOptions.GlobalJitLevel getGlobalJitLevel();
}