data_feed_factory.cc 2.8 KB
Newer Older
W
Wang Guibao 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
/* Copyright (c) 2018 PaddlePaddle 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 "paddle/fluid/framework/data_feed_factory.h"
#include <memory>
#include <string>
#include <unordered_map>

namespace paddle {
namespace framework {
W
wanghuancoder 已提交
22 23
class DataFeed;

W
Wang Guibao 已提交
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
typedef std::shared_ptr<DataFeed> (*Createdata_feedFunction)();
typedef std::unordered_map<std::string, Createdata_feedFunction> data_feedMap;
data_feedMap g_data_feed_map;

#define REGISTER_DATAFEED_CLASS(data_feed_class)                      \
  namespace {                                                         \
  std::shared_ptr<DataFeed> Creator_##data_feed_class() {             \
    return std::shared_ptr<DataFeed>(new data_feed_class);            \
  }                                                                   \
  class __Registerer_##data_feed_class {                              \
   public:                                                            \
    __Registerer_##data_feed_class() {                                \
      g_data_feed_map[#data_feed_class] = &Creator_##data_feed_class; \
    }                                                                 \
  };                                                                  \
  __Registerer_##data_feed_class g_registerer_##data_feed_class;      \
  }  // namespace

std::string DataFeedFactory::DataFeedTypeList() {
  std::string data_feed_types;
  for (auto iter = g_data_feed_map.begin(); iter != g_data_feed_map.end();
       ++iter) {
    if (iter != g_data_feed_map.begin()) {
      data_feed_types += ", ";
    }
    data_feed_types += iter->first;
  }
  return data_feed_types;
}

std::shared_ptr<DataFeed> DataFeedFactory::CreateDataFeed(
    std::string data_feed_class) {
  if (g_data_feed_map.count(data_feed_class) < 1) {
57 58 59
    LOG(WARNING) << "Your DataFeed " << data_feed_class
                 << "is not supported currently";
    LOG(WARNING) << "Supported DataFeed: " << DataFeedTypeList();
W
Wang Guibao 已提交
60 61 62 63 64 65
    exit(-1);
  }
  return g_data_feed_map[data_feed_class]();
}

REGISTER_DATAFEED_CLASS(MultiSlotDataFeed);
66
REGISTER_DATAFEED_CLASS(MultiSlotInMemoryDataFeed);
67
REGISTER_DATAFEED_CLASS(PaddleBoxDataFeed);
H
hutuxian 已提交
68 69 70
#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
REGISTER_DATAFEED_CLASS(MultiSlotFileInstantDataFeed);
#endif
W
Wang Guibao 已提交
71 72
}  // namespace framework
}  // namespace paddle