EVOLUTION-MANAGER

Edit File: xla_config_registry.h

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
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==============================================================================*/

#ifndef TENSORFLOW_CORE_UTIL_XLA_CONFIG_REGISTRY_H_
#define TENSORFLOW_CORE_UTIL_XLA_CONFIG_REGISTRY_H_

#include <functional>

#include "tensorflow/core/framework/logging.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/protobuf/config.pb.h"

namespace tensorflow {

namespace xla_config_registry {

// XlaGlobalJitLevel is used by XLA to expose its JIT level for processing
// single gpu and general (multi-gpu) graphs.
struct XlaGlobalJitLevel {
  OptimizerOptions::GlobalJitLevel single_gpu;
  OptimizerOptions::GlobalJitLevel general;
};

// Input is the jit_level in session config, and return value is the jit_level
// from XLA, reflecting the effect of the environment variable flags.
typedef std::function<XlaGlobalJitLevel(
    const OptimizerOptions::GlobalJitLevel&)>
    GlobalJitLevelGetterTy;

void RegisterGlobalJitLevelGetter(GlobalJitLevelGetterTy getter);

XlaGlobalJitLevel GetGlobalJitLevel(
    OptimizerOptions::GlobalJitLevel jit_level_in_session_opts);

#define REGISTER_XLA_CONFIG_GETTER(getter) \
  REGISTER_XLA_CONFIG_GETTER_UNIQ_HELPER(__COUNTER__, getter)

#define REGISTER_XLA_CONFIG_GETTER_UNIQ_HELPER(ctr, getter) \
  REGISTER_XLA_CONFIG_GETTER_UNIQ(ctr, getter)

#define REGISTER_XLA_CONFIG_GETTER_UNIQ(ctr, getter)                    \
  static bool xla_config_registry_registration_##ctr =                  \
      (::tensorflow::xla_config_registry::RegisterGlobalJitLevelGetter( \
           getter),                                                     \
       true)

}  // namespace xla_config_registry

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_UTIL_XLA_CONFIG_REGISTRY_H_