/* Copyright 2015 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.
==============================================================================*/

#include "tensorflow/stream_executor/executor_cache.h"

#include "tensorflow/stream_executor/lib/stringprintf.h"

namespace perftools {
namespace gputools {

port::Status ExecutorCache::Insert(const StreamExecutorConfig& config,
                                   std::unique_ptr<StreamExecutor> entry) {
  if (Get(config).ok()) {
    return port::Status(port::error::ALREADY_EXISTS,
                        "An executor with a matching config already exists.");
  }

  cache_[config.ordinal].emplace_back(Entry(config, std::move(entry)));

  return port::Status::OK();
}

port::StatusOr<StreamExecutor*> ExecutorCache::Get(
    const StreamExecutorConfig& config) {
  auto entries = cache_.find(config.ordinal);
  if (entries == cache_.end()) {
    return port::Status(
        port::error::NOT_FOUND,
        port::Printf("No executors registered for ordinal %d", config.ordinal));
  }

  for (const auto& iter : entries->second) {
    if (iter.first.plugin_config == config.plugin_config &&
        iter.first.device_options == config.device_options) {
      return iter.second.get();
    }
  }

  return port::Status(port::error::NOT_FOUND,
                      "No executor found with a matching config.");
}

void ExecutorCache::DestroyAllExecutors() { cache_.clear(); }

}  // namespace gputools
}  // namespace perftools