[mobile][opencl] add test4 male2fe ,test=mobile (#2717)

* [mobile][opencl] suite model male2fe ,support a type element_mul ,test=mobile

* [mobile][opencl] add test4 male2fe ,test=mobile

mobile/test/CMakeLists.txt

@@ -551,6 +551,12 @@ if (ENABLE_ALL_TEST)
 
         ADD_EXECUTABLE(test-inference-api-v2 net/test_inference_api_v2.cpp test_helper.h test_include.h executor_for_test.h)
         target_link_libraries(test-inference-api-v2 paddle-mobile)
+
+        if (GPU_CL)
+            ADD_EXECUTABLE(test-net-male2fe net/test_mobilenet_male2fe.cpp test_helper.h test_include.h executor_for_test.h)
+            target_link_libraries(test-net-male2fe paddle-mobile)
+        endif()
+
     endif ()
 else ()
     # gen test

mobile/test/net/test_mobilenet_male2fe.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 <iostream>
+#include "../../src/common/types.h"
+#include "../test_helper.h"
+#include "../test_include.h"
+
+void feed(PaddleMobile<paddle_mobile::GPU_CL> *paddle_mobile, const DDim &dims,
+          std::string image_path, std::string feed_name) {
+  float *input_data_array = new float[product(dims)];
+  std::ifstream in(image_path, std::ios::in);
+  for (int i = 0; i < product(dims); i++) {
+    float num;
+    in >> num;
+    input_data_array[i] = num;
+  }
+  in.close();
+  framework::Tensor input_tensor(input_data_array, dims);
+  DLOG << feed_name << " : " << input_tensor;
+  paddle_mobile->Feed(feed_name, input_tensor);
+}
+
+int main() {
+  paddle_mobile::PaddleMobile<paddle_mobile::GPU_CL> paddle_mobile;
+  auto time1 = paddle_mobile::time();
+#ifdef PADDLE_MOBILE_CL
+  paddle_mobile.SetCLPath("/data/local/tmp/bin");
+#endif
+
+  if (paddle_mobile.Load(std::string("../models/nanbiannv") + "/model",
+                         std::string("../models/nanbiannv") + "/params",
+                         true)) {
+    auto time2 = paddle_mobile::time();
+    std::cout << "load cost :" << paddle_mobile::time_diff(time1, time2) << "ms"
+              << std::endl;
+
+    std::vector<float> input;
+    feed(&paddle_mobile, {1, 3, 256, 256}, "../images/input_1_3_256_256",
+         "image");
+
+    auto time3 = paddle_mobile::time();
+    paddle_mobile.Predict();
+    auto time4 = paddle_mobile::time();
+
+    std::cout << "predict cost :" << paddle_mobile::time_diff(time3, time4)
+              << "ms" << std::endl;
+  }
+
+  auto rgb = paddle_mobile.Fetch("rgb");
+  auto mask = paddle_mobile.Fetch("mask");
+  LOG(kLOG_INFO) << "rgb" << *rgb;
+  LOG(kLOG_INFO) << "mask" << *mask;
+  return 0;
+}