tensorflow/core/profiler/internal/profiler_interface.h

/* Copyright 2016 The TensorFlow Authors All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    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,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_CORE_PROFILER_INTERNAL_PROFILER_INTERFACE_H_
#define TENSORFLOW_CORE_PROFILER_INTERNAL_PROFILER_INTERFACE_H_

#include "tensorflow/core/lib/core/status.h"
#include "tensorflow/core/protobuf/config.pb.h"

namespace tensorflow {
class EagerContext;
struct ProfilerContext {
  EagerContext* eager_context = nullptr;
};

namespace profiler {

// Interface for tensorflow profiler plugins.
//
// ProfileSession calls each of these methods at most once per instance, and
// implementations can rely on that guarantee for simplicity.
//
// Thread-safety: Implementations are only required to be go/thread-compatible.
// ProfileSession is go/thread-safe and synchronizes access to ProfilerInterface
// instances.
class ProfilerInterface {
 public:
  virtual ~ProfilerInterface() = default;

  // Starts profiling.
  virtual Status Start() = 0;

  // Stops profiling.
  virtual Status Stop() = 0;

  // Moves collected profile data into step_stats_collector.
  virtual Status CollectData(RunMetadata* run_metadata) = 0;
};

}  // namespace profiler

using ProfilerFactory =
    std::unique_ptr<profiler::ProfilerInterface> (*)(const ProfilerContext*);

void RegisterProfilerFactory(ProfilerFactory factory);

void CreateProfilers(
    const ProfilerContext* context,
    std::vector<std::unique_ptr<profiler::ProfilerInterface>>* result);

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_PROFILER_INTERNAL_PROFILER_INTERFACE_H_