main.c 2.9 KB
Newer Older
D
dzhwinter 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14
//   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
//
// 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.

15 16 17 18 19 20 21 22 23 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 57 58 59 60 61 62 63
#include <paddle/capi.h>
#include <time.h>
#include "../common/common.h"

#define CONFIG_BIN "./trainer_config.bin"

int main() {
  // Initalize Paddle
  char* argv[] = {"--use_gpu=False"};
  CHECK(paddle_init(1, (char**)argv));

  // Reading config binary file. It is generated by `convert_protobin.sh`
  long size;
  void* buf = read_config(CONFIG_BIN, &size);

  // Create a gradient machine for inference.
  paddle_gradient_machine machine;
  CHECK(paddle_gradient_machine_create_for_inference(&machine, buf, (int)size));
  CHECK(paddle_gradient_machine_randomize_param(machine));

  // Loading parameter. Uncomment the following line and change the directory.
  // CHECK(paddle_gradient_machine_load_parameter_from_disk(machine,
  //                                                "./some_where_to_params"));
  paddle_arguments in_args = paddle_arguments_create_none();

  // There is only one input of this network.
  CHECK(paddle_arguments_resize(in_args, 1));

  // Create input ids.
  int sentence_ids[] = {83, 48, 20, 84, 394, 853, 64, 53, 64};

  paddle_ivector sentence = paddle_ivector_create(
      sentence_ids, sizeof(sentence_ids) / sizeof(int), false, false);
  CHECK(paddle_arguments_set_ids(in_args, 0, sentence));

  int seq_pos_array[] = {0, sizeof(sentence_ids) / sizeof(int)};

  paddle_ivector seq_pos = paddle_ivector_create(
      seq_pos_array, sizeof(seq_pos_array) / sizeof(int), false, false);

  CHECK(paddle_arguments_set_sequence_start_pos(in_args, 0, 0, seq_pos));

  paddle_arguments out_args = paddle_arguments_create_none();
  CHECK(paddle_gradient_machine_forward(machine,
                                        in_args,
                                        out_args,
                                        /* isTrain */ false));
  paddle_matrix prob = paddle_matrix_create_none();

Y
Yu Yang 已提交
64
  CHECK(paddle_arguments_get_value(out_args, 0, prob));
65 66 67 68 69 70 71 72 73 74 75

  paddle_real* array;

  CHECK(paddle_matrix_get_row(prob, 0, &array));

  printf("Prob: ");
  for (int i = 0; i < 2; ++i) {
    printf("%.2f ", array[i]);
  }
  printf("\n");

Y
Yu Yang 已提交
76 77 78 79 80 81 82
  CHECK(paddle_matrix_destroy(prob));
  CHECK(paddle_arguments_destroy(out_args));
  CHECK(paddle_ivector_destroy(seq_pos));
  CHECK(paddle_ivector_destroy(sentence));
  CHECK(paddle_arguments_destroy(in_args));
  CHECK(paddle_gradient_machine_destroy(machine));

83 84
  return 0;
}