modify unit testing of gemm and googlenet

test/CMakeLists.txt

@@ -114,8 +114,12 @@ else ()
     target_link_libraries(test-softmax paddle-mobile)
 
     # gen test
-    ADD_EXECUTABLE(test-gemm common/test_gemm.cpp)
-    target_link_libraries(test-gemm paddle-mobile)
+    ADD_EXECUTABLE(test-gemm-accuracy common/test_gemm_accuracy.cpp)
+    target_link_libraries(test-gemm-accuracy paddle-mobile)
+
+    # gen test
+    ADD_EXECUTABLE(test-gemm-perf common/test_gemm_perf.cpp)
+    target_link_libraries(test-gemm-perf paddle-mobile)
 
     # gen test
     ADD_EXECUTABLE(test-enforce common/test_enforce.cpp)

test/common/test_gemm_perf.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 "../test_helper.h"
+#include "operators/math/gemm.h"
+#include "operators/math/math_function.h"
+
+#define a(i, j) a[(i)*lda + (j)]
+#define b(i, j) b[(i)*ldb + (j)]
+#define c1(i, j) c1[(i)*ldc + (j)]
+
+#define m 1024
+#define n 1024
+#define k 1024
+
+int main() {
+  Tensor aa, bb, cc, scale, bias;
+  auto aaptr = aa.mutable_data<float>({m, k});
+  auto bbptr = bb.mutable_data<float>({k, n});
+  auto ccptr = cc.mutable_data<float>({m, n});
+  auto scaleptr = scale.mutable_data<float>({m});
+  auto biasptr = bias.mutable_data<float>({m});
+
+  for (int i = 0; i < m * k; ++i) {
+    aaptr[i] = 2;
+  }
+  for (int i = 0; i < k * n; ++i) {
+    bbptr[i] = 2;
+  }
+  for (int i = 0; i < m * n; ++i) {
+    ccptr[i] = 2;
+  }
+  for (int i = 0; i < m; ++i) {
+    scaleptr[i] = 1;
+    biasptr[i] = 0;
+  }
+
+  auto time1 = time();
+  for (int j = 0; j < 10; ++j) {
+    paddle_mobile::operators::math::matmul<float>(aa, false, bb, false,
+                                                  static_cast<float>(1), &cc,
+                                                  static_cast<float>(0), false);
+
+    //    paddle_mobile::operators::math::matmulWithBn<float>(
+    //        aa, false, bb, false, static_cast<float>(1), &cc,
+    //        static_cast<float>(0), true, &scale, &bias, 0);
+  }
+  auto time2 = time();
+  std::cout << "gemm  cost :" << time_diff(time1, time2) / 10 << "ms\n";
+
+  return 0;
+}

test/net/test_googlenet.cpp

@@ -12,7 +12,7 @@ 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 <iostream>
 #include "../test_helper.h"
 #include "../test_include.h"
 
@@ -23,15 +23,20 @@ int main() {
   auto time1 = time();
   if (paddle_mobile.Load(g_googlenet, optimize)) {
     auto time2 = time();
-    DLOG << "load cost: " << time_diff(time1, time1) << "ms";
+    std::cout << "load cost :" << time_diff(time1, time2) << "ms" << std::endl;
     std::vector<float> input;
     std::vector<int64_t> dims{1, 3, 224, 224};
     GetInput<float>(g_test_image_1x3x224x224, &input, dims);
-    auto time3 = time();
+    // 预热一次
     auto vec_result = paddle_mobile.Predict(input, dims);
+    auto time3 = time();
+    for (int i = 0; i < 10; ++i) {
+      auto vec_result = paddle_mobile.Predict(input, dims);
+    }
     auto time4 = time();
 
-    DLOG << "predict cost :" << time_diff(time3, time4) << "ms";
+    std::cout << "predict cost :" << time_diff(time3, time4) / 10 << "ms"
+              << std::endl;
   }
   return 0;
 }