add test yolo and mobilenet

src/framework/operator.h

@@ -50,7 +50,8 @@ static std::unordered_map<
                            {"lrn", {{"X"}, {"Out"}}},
                            {"concat", {{"X"}, {"Out"}}},
                            {"feed", {{"X"}, {"Out"}}},
-                           {"fetch", {{"X"}, {"Out"}}}};
+                           {"fetch", {{"X"}, {"Out"}}},
+                           {"reshape", {{"X"}, {"Out"}}}};
 
 template <typename Dtype>
 class OperatorBase : PaddleMobileObject {

test/CMakeLists.txt

@@ -84,10 +84,18 @@ target_link_libraries(test-gemm paddle-mobile)
 ADD_EXECUTABLE(test-enforce common/test_enforce.cpp)
 target_link_libraries(test-enforce paddle-mobile)
 
+# 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-googlenet net/test_googlenet.cpp test_helper.h  test_include.h executor_for_test.h)
 target_link_libraries(test-googlenet paddle-mobile)
 
+# gen test
+ADD_EXECUTABLE(test-mobilenet net/test_mobilenet.cpp test_helper.h  test_include.h executor_for_test.h)
+target_link_libraries(test-mobilenet paddle-mobile)
+
 # gen test
 ADD_EXECUTABLE(test-sigmoid operators/test_sigmoid_op.cpp  test_include.h)
 target_link_libraries(test-sigmoid paddle-mobile)

test/net/test_mobilenet.cpp

+/* 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 <fstream>
+#include "../test_helper.h"
+#include "../test_include.h"
+
+int main() {
+  paddle_mobile::Loader<paddle_mobile::CPU> loader;
+  auto time1 = time();
+  auto program = loader.Load(g_mobilenet);
+  auto time2 = time();
+  DLOG << "load cost :" << time_diff(time1, time1) << "ms";
+  paddle_mobile::Executor<paddle_mobile::CPU> executor(program, 1);
+
+  std::vector<int64_t> dims{1, 3, 224, 224};
+  Tensor input_tensor;
+  SetupTensor<float>(&input_tensor, {1, 3, 224, 224}, static_cast<float>(0),
+                     static_cast<float>(1));
+
+  std::vector<float> input(input_tensor.data<float>(),
+                           input_tensor.data<float>() + input_tensor.numel());
+  auto time3 = time();
+  executor.predict(input, dims);
+  auto time4 = time();
+  DLOG << "predict cost :" << time_diff(time3, time4) << "ms";
+  return 0;
+}

test/net/test_yolo.cpp

+/* 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 <fstream>
+#include "../test_helper.h"
+#include "../test_include.h"
+
+int main() {
+  paddle_mobile::Loader<paddle_mobile::CPU> loader;
+  //  ../../../test/models/googlenet
+  //  ../../../test/models/mobilenet
+  auto time1 = time();
+  auto program = loader.Load(g_yolo);
+  auto time2 = time();
+  DLOG << "load cost :" << time_diff(time1, time1) << "ms";
+  paddle_mobile::Executor<paddle_mobile::CPU> executor(program, 1);
+
+  std::vector<int64_t> dims{1, 3, 227, 227};
+  Tensor input_tensor;
+  SetupTensor<float>(&input_tensor, {1, 3, 227, 227}, static_cast<float>(0),
+                     static_cast<float>(1));
+
+  std::vector<float> input(input_tensor.data<float>(),
+                           input_tensor.data<float>() + input_tensor.numel());
+  auto time3 = time();
+  executor.predict(input, dims);
+  auto time4 = time();
+  DLOG << "predict cost :" << time_diff(time3, time4) << "ms";
+  return 0;
+}

test/test_helper.h

@@ -28,6 +28,7 @@ static const std::string g_mobilenet_ssd = "../models/mobilenet+ssd";
 static const std::string g_squeezenet = "../models/squeezenet";
 static const std::string g_resnet =
     "../models/image_classification_resnet.inference.model";
+static const std::string g_yolo = "../models/yolo";
 static const std::string g_test_image_1x3x224x224 =
     "../images/test_image_1x3x224x224_float";
 using paddle_mobile::framework::DDim;