test_mobilenet_GPU.cpp 2.3 KB
Newer Older
Y
yangfei 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
/* 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 <iostream>
#include "../test_helper.h"
#include "../test_include.h"

int main() {
20 21
  paddle_mobile::PaddleMobile<paddle_mobile::GPU_CL> paddle_mobile;
  //    paddle_mobile.SetThreadNum(4);
L
liuruilong 已提交
22
  auto time1 = paddle_mobile::time();
23 24 25
  //  auto isok = paddle_mobile.Load(std::string(g_mobilenet_detect) + "/model",
  //                     std::string(g_mobilenet_detect) + "/params", true);

L
liuruilong 已提交
26
  auto isok = paddle_mobile.Load(g_mobilenet, true);
27
  if (isok) {
L
liuruilong 已提交
28
    auto time2 = paddle_mobile::time();
L
liuruilong 已提交
29
    std::cout << "load cost :" << paddle_mobile::time_diff(time1, time2) << "ms"
Y
yangfei 已提交
30
              << std::endl;
31 32 33 34 35

    std::vector<float> input;
    std::vector<int64_t> dims{1, 3, 224, 224};
    GetInput<float>(g_test_image_1x3x224x224_banana, &input, dims);

L
liuruilong 已提交
36
    auto time3 = paddle_mobile::time();
L
liuruilong 已提交
37
    auto vec_result = paddle_mobile.Predict(input, dims);
L
liuruilong 已提交
38
    auto time4 = paddle_mobile::time();
L
liuruilong 已提交
39

L
liuruilong 已提交
40 41 42
//    for (int i = 0; i < 10; ++i) {
//      auto vec_result = paddle_mobile.Predict(input, dims);
//    }
L
liuruilong 已提交
43 44


L
liuruilong 已提交
45
//    auto time3 = paddle_mobile::time();
L
liuruilong 已提交
46

L
liuruilong 已提交
47 48 49
//    for (int i = 0; i < 10; ++i) {
//      auto vec_result = paddle_mobile.Predict(input, dims);
//    }
L
liuruilong 已提交
50

L
liuruilong 已提交
51 52
//    auto time4 = paddle_mobile::time();
    std::cout << "predict cost :" << paddle_mobile::time_diff(time3, time4) << "ms" << std::endl;
L
liuruilong 已提交
53 54 55 56
    std::vector<float>::iterator biggest =
        std::max_element(std::begin(vec_result), std::end(vec_result));
    std::cout << " Max element is " << *biggest << " at position "
              << std::distance(std::begin(vec_result), biggest) << std::endl;
57 58 59 60 61 62
  }

  std::cout << "如果结果Nan请查看: test/images/g_test_image_1x3x224x224_banana "
               "是否存在?"
            << std::endl;
  return 0;
Y
yangfei 已提交
63
}