提交 d922996c 编写于 作者: xiebaiyuan's avatar xiebaiyuan

add_yolo_combined unit test

上级 d62369e9
......@@ -18,6 +18,9 @@ elseif ("yolo" IN_LIST NET)
# gen test
ADD_EXECUTABLE(test-yolo net/test_yolo.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-yolo paddle-mobile)
# gen test
ADD_EXECUTABLE(test_yolo_combined net/test_yolo_combined.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test_yolo_combined paddle-mobile)
elseif ("squeezenet" IN_LIST NET)
# gen test
ADD_EXECUTABLE(test-squeezenet net/test_squeezenet.cpp test_helper.h test_include.h executor_for_test.h)
......@@ -74,6 +77,10 @@ else ()
ADD_EXECUTABLE(test-yolo net/test_yolo.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-yolo paddle-mobile)
# gen test
ADD_EXECUTABLE(test_yolo_combined net/test_yolo_combined.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test_yolo_combined paddle-mobile)
# gen test
ADD_EXECUTABLE(test-googlenet net/test_googlenet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-googlenet paddle-mobile)
......
/* 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() {
paddle_mobile::PaddleMobile<paddle_mobile::CPU> paddle_mobile;
paddle_mobile.SetThreadNum(4);
// ../../../test/models/googlenet
// ../../../test/models/mobilenet
auto time1 = time();
if (paddle_mobile.Load(std::string(g_yolo_combined) + "/model",
std::string(g_yolo_combined) + "/params", true)) {
auto time2 = time();
std::cout << "load cost :" << time_diff(time1, time1) << "ms" << std::endl;
std::vector<int64_t> dims{1, 3, 416, 416};
std::vector<float> input;
GetInput<float>(g_test_image_desktop_1_3_416_416_nchw_float, &input, dims);
std::cout << "input.size(): " << input.size() << std::endl;
for (int j = 0; j < 100; ++j) {
std::cout << j << " : " << input[j] << std::endl;
}
// // 预热十次
// for (int i = 0; i < 10; ++i) {
// paddle_mobile.Predict(input, dims);
// }
auto time3 = time();
const vector<float> vector_out = paddle_mobile.Predict(input, dims);
std::cout << "--------------------------------------------" << std::endl;
for (float i : vector_out) {
std::cout << i << std::endl;
}
std::cout << "--------------------------------------------" << std::endl;
std::cout << "load cost :" << time_diff(time1, time1) << "ms" << std::endl;
auto time4 = time();
std::cout << "predict cost :" << time_diff(time3, time4) / 10 << "ms"
<< std::endl;
}
return 0;
}
......@@ -41,12 +41,15 @@ static const char *g_resnet_50 = "../models/resnet_50";
static const char *g_resnet = "../models/resnet";
static const char *g_googlenet_combine = "../models/googlenet_combine";
static const char *g_yolo = "../models/yolo";
static const char *g_yolo_combined = "../models/yolo_combined";
static const char *g_fluid_fssd_new = "../models/fluid_fssd_new";
static const char *g_test_image_1x3x224x224 =
"../images/test_image_1x3x224x224_float";
static const char *g_test_image_1x3x224x224_banana =
"../images/input_3x224x224_banana";
static const char *g_test_image_desktop_1_3_416_416_nchw_float =
"../images/in_put_1_3_416_416_2";
static const char *g_hand = "../images/hand_image";
static const char *g_imgfssd_ar = "../images/test_image_ssd_ar";
static const char *g_imgfssd_ar1 = "../images/003_0001.txt";
......
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