add inception_v4 test && enhance uts

.gitlab-ci.yml

@@ -87,7 +87,6 @@ build:mobile_android:
     dependencies:
         - build:server
 
-
 build:mobile_armlinux:
     tags:
         - lite
@@ -108,16 +107,15 @@ build:mobile_armlinux:
     dependencies:
         - build:server
 
-
-build:mobile_model_resnet50:
+build:mobile_model_mobilenetv1:
     tags:
         - lite
     stage: build_mobile
     image: $MOBILE_LITE_DOCKER_IMAGE
 
     script:
-        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_resnet50
-        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_resnet50
+        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_mobilenetv1
+        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_mobilenetv1
 
     dependencies:
         - build:server
@@ -127,18 +125,17 @@ build:mobile_model_resnet50:
         paths:
             - build.lite.android.armv8.gcc
             - ~/.ccache
-            - $CI_PROJECT_DIR/build_mobile_model_resnet50
-
+            - $CI_PROJECT_DIR/build_mobile_model_mobilenetv1
 
-build:mobile_model_mobilenetv1:
+build:mobile_model_mobilenetv2:
     tags:
         - lite
     stage: build_mobile
     image: $MOBILE_LITE_DOCKER_IMAGE
 
     script:
-        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_mobilenetv1
-        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_mobilenetv1
+        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_mobilenetv2
+        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_mobilenetv2
 
     dependencies:
         - build:server
@@ -148,17 +145,17 @@ build:mobile_model_mobilenetv1:
         paths:
             - build.lite.android.armv8.gcc
             - ~/.ccache
-            - $CI_PROJECT_DIR/build_mobile_model_mobilenetv1
+            - $CI_PROJECT_DIR/build_mobile_model_mobilenetv2
 
-build:mobile_model_mobilenetv2:
+build:mobile_model_resnet50:
     tags:
         - lite
     stage: build_mobile
     image: $MOBILE_LITE_DOCKER_IMAGE
 
     script:
-        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_mobilenetv2
-        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_mobilenetv2
+        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_resnet50
+        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_resnet50
 
     dependencies:
         - build:server
@@ -168,30 +165,24 @@ build:mobile_model_mobilenetv2:
         paths:
             - build.lite.android.armv8.gcc
             - ~/.ccache
-            - $CI_PROJECT_DIR/build_mobile_model_mobilenetv2
+            - $CI_PROJECT_DIR/build_mobile_model_resnet50
+
+build:mobile_model_inceptionv4:
+    tags:
+        - lite
+    stage: build_mobile
+    image: $MOBILE_LITE_DOCKER_IMAGE
 
-#build:mobile_model_inceptionv4:
-#    tags:
-#        - lite
-#    stage: build_mobile
-#    image: $MOBILE_LITE_DOCKER_IMAGE
-#    cache:
-#        key: mobile_thirdparty
-#        paths:
-#            - $MOBILE_LITE_CACHE0
-#            - $MOBILE_LITE_CACHE1
-#            - ~/.ccache
-#    script:
-#        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_inceptionv4
-#        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_inceptionv4
-#
-#    dependencies:
-#        - build:server
-#
-#    cache:
-#        key: mobile_thirdparty
-#        paths:
-#            - $MOBILE_LITE_CACHE0
-#            - $MOBILE_LITE_CACHE1
-#            - ~/.ccache
-#            - $CI_PROJECT_DIR/build_mobile_model_inceptionv4
+    script:
+        - export CCACHE_DIR=$CI_PROJECT_DIR/build_mobile_model_inceptionv4
+        - ./paddle/fluid/lite/tools/build.sh build_test_arm_model_inceptionv4
+
+    dependencies:
+        - build:server
+
+    cache:
+        key: mobile_thirdparty
+        paths:
+            - build.lite.android.armv8.gcc
+            - ~/.ccache
+            - $CI_PROJECT_DIR/build_mobile_model_inceptionv4

paddle/fluid/lite/CMakeLists.txt

@@ -200,9 +200,9 @@ if (WITH_TESTING)
     lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "lite_naive_model.tar.gz")
     if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK)
         lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "mobilenet_v1.tar.gz")
-        lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "mobilenet_v2.tar.gz")
+        lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "mobilenet_v2_relu.tar.gz")
         lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "resnet50.tar.gz")
-        lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "inception_v4.tar.gz")
+        lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "inception_v4_simple.tar.gz")
     endif()
     if(NOT LITE_WITH_LIGHT_WEIGHT_FRAMEWORK)
         lite_download_and_uncompress(${LITE_MODEL_DIR} ${LITE_URL} "GoogleNet_inference.tar.gz")

paddle/fluid/lite/api/CMakeLists.txt

@@ -74,7 +74,7 @@ if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK AND WITH_TESTING)
     lite_cc_test(test_mobilenetv2_lite SRCS mobilenetv2_test.cc
        DEPS ${lite_model_test_DEPS}
        ARGS --model_dir=${LITE_MODEL_DIR}/mobilenet_v2 SERIAL)
-    add_dependencies(test_mobilenetv2_lite extern_lite_download_mobilenet_v2_tar_gz)
+    add_dependencies(test_mobilenetv2_lite extern_lite_download_mobilenet_v2_relu_tar_gz)
 
     lite_cc_test(test_resnet50_lite SRCS resnet50_test.cc
        DEPS ${lite_model_test_DEPS}
@@ -84,7 +84,7 @@ if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK AND WITH_TESTING)
     lite_cc_test(test_inceptionv4_lite SRCS inceptionv4_test.cc
        DEPS ${lite_model_test_DEPS}
        ARGS --model_dir=${LITE_MODEL_DIR}/inception_v4 SERIAL)
-    add_dependencies(test_inceptionv4_lite extern_lite_download_inception_v4_tar_gz)
+    add_dependencies(test_inceptionv4_lite extern_lite_download_inception_v4_simple_tar_gz)
 endif()
 
 # These tests needs CLI arguments, and is not supported in ARM CI.

paddle/fluid/lite/api/inceptionv4_test.cc

@@ -39,7 +39,8 @@ TEST(InceptionV4, test) {
   auto* input_tensor = predictor.GetInput(0);
   input_tensor->Resize(DDim(std::vector<DDim::value_type>({1, 3, 224, 224})));
   auto* data = input_tensor->mutable_data<float>();
-  for (int i = 0; i < input_tensor->dims().production(); i++) {
+  auto item_size = input_tensor->dims().production();
+  for (int i = 0; i < item_size; i++) {
     data[i] = 1;
   }
 
@@ -58,16 +59,30 @@ TEST(InceptionV4, test) {
             << ", spend " << (GetCurrentUS() - start) / FLAGS_repeats / 1000.0
             << " ms in average.";
 
+  // std::vector<float> results({0.00078033, 0.00083865, 0.00060029, 0.00057083,
+  //                            0.00070094, 0.00080584, 0.00044525, 0.00074907,
+  //                            0.00059774, 0.00063654});
+  //
+  std::vector<std::vector<float>> results;
+  // i = 1
+  results.emplace_back(std::vector<float>(
+      {0.0011684548,  0.0010390386,  0.0011301535,  0.0010133048,
+       0.0010259597,  0.0010982729,  0.00093195855, 0.0009141837,
+       0.00096620916, 0.00089982944, 0.0010064574,  0.0010474789,
+       0.0009782845,  0.0009230255,  0.0010548076,  0.0010974824,
+       0.0010612885,  0.00089107914, 0.0010112736,  0.00097655767}));
   auto* out = predictor.GetOutput(0);
-  std::vector<float> results({0.00078033, 0.00083865, 0.00060029, 0.00057083,
-                              0.00070094, 0.00080584, 0.00044525, 0.00074907,
-                              0.00059774, 0.00063654});
-  for (int i = 0; i < results.size(); ++i) {
-    EXPECT_NEAR(out->data<float>()[i], results[i], 1e-5);
-  }
   ASSERT_EQ(out->dims().size(), 2);
   ASSERT_EQ(out->dims()[0], 1);
   ASSERT_EQ(out->dims()[1], 1000);
+
+  int step = 50;
+  for (int i = 0; i < results.size(); ++i) {
+    for (int j = 0; j < results[i].size(); ++j) {
+      EXPECT_NEAR(out->data<float>()[j * step + (out->dims()[1] * i)],
+                  results[i][j], 1e-6);
+    }
+  }
 }
 #endif
 

paddle/fluid/lite/api/mobilenetv1_test.cc

@@ -36,7 +36,8 @@ void TestModel(const std::vector<Place>& valid_places,
   auto* input_tensor = predictor.GetInput(0);
   input_tensor->Resize(DDim(std::vector<DDim::value_type>({1, 3, 224, 224})));
   auto* data = input_tensor->mutable_data<float>();
-  for (int i = 0; i < input_tensor->dims().production(); i++) {
+  auto item_size = input_tensor->dims().production();
+  for (int i = 0; i < item_size; i++) {
     data[i] = 1;
   }
 
@@ -55,17 +56,26 @@ void TestModel(const std::vector<Place>& valid_places,
             << ", spend " << (GetCurrentUS() - start) / FLAGS_repeats / 1000.0
             << " ms in average.";
 
+  std::vector<std::vector<float>> results;
+  // i = 1
+  results.emplace_back(std::vector<float>(
+      {0.00019130898, 9.467885e-05,  0.00015971427, 0.0003650665,
+       0.00026431272, 0.00060884043, 0.0002107942,  0.0015819625,
+       0.0010323516,  0.00010079765, 0.00011006987, 0.0017364529,
+       0.0048292773,  0.0013995157,  0.0018453331,  0.0002428986,
+       0.00020211363, 0.00013668182, 0.0005855956,  0.00025901722}));
   auto* out = predictor.GetOutput(0);
-  std::vector<float> results({1.91308980e-04, 5.92055148e-04, 1.12303176e-04,
-                              6.27335685e-05, 1.27507330e-04, 1.32147351e-03,
-                              3.13812525e-05, 6.52209565e-05, 4.78087313e-05,
-                              2.58822285e-04});
-  for (int i = 0; i < results.size(); ++i) {
-    EXPECT_NEAR(out->data<float>()[i], results[i], 1e-6);
-  }
   ASSERT_EQ(out->dims().size(), 2);
   ASSERT_EQ(out->dims()[0], 1);
   ASSERT_EQ(out->dims()[1], 1000);
+
+  int step = 50;
+  for (int i = 0; i < results.size(); ++i) {
+    for (int j = 0; j < results[i].size(); ++j) {
+      EXPECT_NEAR(out->data<float>()[j * step + (out->dims()[1] * i)],
+                  results[i][j], 1e-6);
+    }
+  }
 }
 
 TEST(MobileNetV1, test_arm) {

paddle/fluid/lite/api/mobilenetv2_test.cc

@@ -39,7 +39,8 @@ TEST(MobileNetV2, test) {
   auto* input_tensor = predictor.GetInput(0);
   input_tensor->Resize(DDim(std::vector<DDim::value_type>({1, 3, 224, 224})));
   auto* data = input_tensor->mutable_data<float>();
-  for (int i = 0; i < input_tensor->dims().production(); i++) {
+  auto item_size = input_tensor->dims().production();
+  for (int i = 0; i < item_size; i++) {
     data[i] = 1;
   }
 
@@ -58,16 +59,26 @@ TEST(MobileNetV2, test) {
             << ", spend " << (GetCurrentUS() - start) / FLAGS_repeats / 1000.0
             << " ms in average.";
 
+  std::vector<std::vector<float>> results;
+  // i = 1
+  results.emplace_back(std::vector<float>(
+      {0.00017082224, 5.699624e-05,  0.000260885,   0.00016412718,
+       0.00034818667, 0.00015230637, 0.00032959113, 0.0014772735,
+       0.0009059976,  9.5378724e-05, 5.386537e-05,  0.0006427285,
+       0.0070957416,  0.0016094646,  0.0018807327,  0.00010506048,
+       6.823785e-05,  0.00012269315, 0.0007806194,  0.00022354358}));
   auto* out = predictor.GetOutput(0);
-  std::vector<float> results({0.00097802, 0.00099822, 0.00103093, 0.00100121,
-                              0.00098268, 0.00104065, 0.00099962, 0.00095181,
-                              0.00099694, 0.00099406});
-  for (int i = 0; i < results.size(); ++i) {
-    EXPECT_NEAR(out->data<float>()[i], results[i], 1e-5);
-  }
   ASSERT_EQ(out->dims().size(), 2);
   ASSERT_EQ(out->dims()[0], 1);
   ASSERT_EQ(out->dims()[1], 1000);
+
+  int step = 50;
+  for (int i = 0; i < results.size(); ++i) {
+    for (int j = 0; j < results[i].size(); ++j) {
+      EXPECT_NEAR(out->data<float>()[j * step + (out->dims()[1] * i)],
+                  results[i][j], 1e-6);
+    }
+  }
 }
 #endif
 

paddle/fluid/lite/api/resnet50_test.cc

@@ -39,7 +39,8 @@ TEST(ResNet50, test) {
   auto* input_tensor = predictor.GetInput(0);
   input_tensor->Resize(DDim(std::vector<DDim::value_type>({1, 3, 224, 224})));
   auto* data = input_tensor->mutable_data<float>();
-  for (int i = 0; i < input_tensor->dims().production(); i++) {
+  auto item_size = input_tensor->dims().production();
+  for (int i = 0; i < item_size; i++) {
     data[i] = 1;
   }
 
@@ -58,17 +59,26 @@ TEST(ResNet50, test) {
             << ", spend " << (GetCurrentUS() - start) / FLAGS_repeats / 1000.0
             << " ms in average.";
 
+  std::vector<std::vector<float>> results;
+  // i = 1
+  results.emplace_back(std::vector<float>(
+      {0.00024139918, 0.00020566184, 0.00022418296, 0.00041731037,
+       0.0005366107,  0.00016948722, 0.00028638865, 0.0009257241,
+       0.00072681636, 8.531815e-05,  0.0002129998,  0.0021168243,
+       0.006387163,   0.0037145028,  0.0012812682,  0.00045948103,
+       0.00013535398, 0.0002483765,  0.00076759676, 0.0002773295}));
   auto* out = predictor.GetOutput(0);
-  std::vector<float> results({2.41399175e-04, 4.13724629e-04, 2.64324830e-04,
-                              9.68795503e-05, 2.01968738e-04, 8.14945495e-04,
-                              7.45922662e-05, 1.76479152e-04, 7.47223166e-05,
-                              6.06825110e-04});
-  for (int i = 0; i < results.size(); ++i) {
-    EXPECT_NEAR(out->data<float>()[i], results[i], 1e-5);
-  }
   ASSERT_EQ(out->dims().size(), 2);
   ASSERT_EQ(out->dims()[0], 1);
   ASSERT_EQ(out->dims()[1], 1000);
+
+  int step = 50;
+  for (int i = 0; i < results.size(); ++i) {
+    for (int j = 0; j < results[i].size(); ++j) {
+      EXPECT_NEAR(out->data<float>()[j * step + (out->dims()[1] * i)],
+                  results[i][j], 1e-6);
+    }
+  }
 }
 #endif
 

paddle/fluid/lite/tools/build.sh

@@ -512,7 +512,7 @@ function main {
                 shift
                 ;;
             build_test_arm_model_mobilenetv2)
-                build_test_arm_subtask_model test_mobilenetv2_lite mobilenet_v2
+                build_test_arm_subtask_model test_mobilenetv2_lite mobilenet_v2_relu
                 shift
                 ;;
             build_test_arm_model_resnet50)
@@ -520,7 +520,7 @@ function main {
                 shift
                 ;;
             build_test_arm_model_inceptionv4)
-                build_test_arm_subtask_model test_inceptionv4_lite inception_v4
+                build_test_arm_subtask_model test_inceptionv4_lite inception_v4_simple
                 shift
                 ;;
             check_style)