Simplify the inference unittests' cmake and codes. (#8216)

paddle/inference/tests/book/CMakeLists.txt

-set(PYTHON_TESTS_DIR ${PADDLE_SOURCE_DIR}/python/paddle/v2/fluid/tests)
-cc_test(test_inference_recognize_digits_mlp
-    SRCS test_inference_recognize_digits.cc
+function(inference_test TARGET_NAME)
+  set(options "")
+  set(oneValueArgs "")
+  set(multiValueArgs ARGS)
+  cmake_parse_arguments(inference_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
+
+  set(PYTHON_TESTS_DIR ${PADDLE_SOURCE_DIR}/python/paddle/v2/fluid/tests)
+  if(inference_test_ARGS)
+    foreach(arg ${inference_test_ARGS})
+      cc_test(test_inference_${TARGET_NAME}_${arg}
+          SRCS test_inference_${TARGET_NAME}.cc
           DEPS ARCHIVE_START paddle_fluid ARCHIVE_END
-    ARGS --dirname=${PYTHON_TESTS_DIR}/book/recognize_digits_mlp.inference.model)
-cc_test(test_inference_image_classification_vgg
-    SRCS test_inference_image_classification.cc
+          ARGS --dirname=${PYTHON_TESTS_DIR}/book/${TARGET_NAME}_${arg}.inference.model)
+      set_tests_properties(test_inference_${TARGET_NAME}_${arg}
+          PROPERTIES DEPENDS test_${TARGET_NAME})
+    endforeach()
+  else()
+    cc_test(test_inference_${TARGET_NAME}
+        SRCS test_inference_${TARGET_NAME}.cc
         DEPS ARCHIVE_START paddle_fluid ARCHIVE_END
-    ARGS --dirname=${PYTHON_TESTS_DIR}/book/image_classification_vgg.inference.model)
-cc_test(test_inference_image_classification_resnet
-    SRCS test_inference_image_classification.cc
-    DEPS ARCHIVE_START paddle_fluid ARCHIVE_END
-    ARGS --dirname=${PYTHON_TESTS_DIR}/book/image_classification_resnet.inference.model)
-cc_test(test_inference_label_semantic_roles
-    SRCS test_inference_label_semantic_roles.cc
-    DEPS ARCHIVE_START paddle_fluid ARCHIVE_END
-    ARGS --dirname=${PYTHON_TESTS_DIR}/book/label_semantic_roles.inference.model)
-set_tests_properties(test_inference_recognize_digits_mlp
-    PROPERTIES DEPENDS test_recognize_digits)
-set_tests_properties(test_inference_image_classification_vgg
-    PROPERTIES DEPENDS test_image_classification_train)
-set_tests_properties(test_inference_image_classification_resnet
-    PROPERTIES DEPENDS test_image_classification_train)
-set_tests_properties(test_inference_label_semantic_roles
-    PROPERTIES DEPENDS test_label_semantic_roles) 
+        ARGS --dirname=${PYTHON_TESTS_DIR}/book/${TARGET_NAME}.inference.model)
+    set_tests_properties(test_inference_${TARGET_NAME}
+        PROPERTIES DEPENDS test_${TARGET_NAME})
+  endif()
+endfunction(inference_test)
+
+inference_test(recognize_digits ARGS mlp)
+inference_test(image_classification ARGS vgg resnet)
+inference_test(label_semantic_roles)

paddle/inference/tests/book/test_helper.h

@@ -12,6 +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 <time.h>
 #include "paddle/framework/lod_tensor.h"
 #include "paddle/inference/io.h"
 

paddle/inference/tests/book/test_inference_image_classification.cc

@@ -13,51 +13,11 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include <gtest/gtest.h>
-#include <time.h>
-#include <sstream>
 #include "gflags/gflags.h"
-#include "paddle/framework/lod_tensor.h"
-#include "paddle/inference/io.h"
+#include "test_helper.h"
 
 DEFINE_string(dirname, "", "Directory of the inference model.");
 
-template <typename Place, typename T>
-void TestInference(const std::string& dirname,
-                   const std::vector<paddle::framework::LoDTensor*>& cpu_feeds,
-                   std::vector<paddle::framework::LoDTensor*>& cpu_fetchs) {
-  // 1. Define place, executor and scope
-  auto place = Place();
-  auto executor = paddle::framework::Executor(place);
-  auto* scope = new paddle::framework::Scope();
-
-  // 2. Initialize the inference_program and load all parameters from file
-  auto inference_program = paddle::inference::Load(executor, *scope, dirname);
-
-  // 3. Get the feed_target_names and fetch_target_names
-  const std::vector<std::string>& feed_target_names =
-      inference_program->GetFeedTargetNames();
-  const std::vector<std::string>& fetch_target_names =
-      inference_program->GetFetchTargetNames();
-
-  // 4. Prepare inputs: set up maps for feed targets
-  std::map<std::string, const paddle::framework::LoDTensor*> feed_targets;
-  for (size_t i = 0; i < feed_target_names.size(); ++i) {
-    // Please make sure that cpu_feeds[i] is right for feed_target_names[i]
-    feed_targets[feed_target_names[i]] = cpu_feeds[i];
-  }
-
-  // 5. Define Tensor to get the outputs: set up maps for fetch targets
-  std::map<std::string, paddle::framework::LoDTensor*> fetch_targets;
-  for (size_t i = 0; i < fetch_target_names.size(); ++i) {
-    fetch_targets[fetch_target_names[i]] = cpu_fetchs[i];
-  }
-
-  // 6. Run the inference program
-  executor.Run(*inference_program, scope, feed_targets, fetch_targets);
-
-  delete scope;
-}
-
 TEST(inference, image_classification) {
   if (FLAGS_dirname.empty()) {
     LOG(FATAL) << "Usage: ./example --dirname=path/to/your/model";
@@ -70,12 +30,10 @@ TEST(inference, image_classification) {
   // In unittests, this is done in paddle/testing/paddle_gtest_main.cc
 
   paddle::framework::LoDTensor input;
-  srand(time(0));
-  float* input_ptr =
-      input.mutable_data<float>({1, 3, 32, 32}, paddle::platform::CPUPlace());
-  for (int i = 0; i < 3072; ++i) {
-    input_ptr[i] = rand() / (static_cast<float>(RAND_MAX));
-  }
+  // Use normilized image pixels as input data,
+  // which should be in the range [0.0, 1.0].
+  SetupTensor<float>(
+      input, {1, 3, 32, 32}, static_cast<float>(0), static_cast<float>(1));
   std::vector<paddle::framework::LoDTensor*> cpu_feeds;
   cpu_feeds.push_back(&input);
 
@@ -98,16 +56,6 @@ TEST(inference, image_classification) {
       dirname, cpu_feeds, cpu_fetchs2);
   LOG(INFO) << output2.dims();
 
-  EXPECT_EQ(output1.dims(), output2.dims());
-  EXPECT_EQ(output1.numel(), output2.numel());
-
-  float err = 1E-3;
-  int count = 0;
-  for (int64_t i = 0; i < output1.numel(); ++i) {
-    if (fabs(output1.data<float>()[i] - output2.data<float>()[i]) > err) {
-      count++;
-    }
-  }
-  EXPECT_EQ(count, 0) << "There are " << count << " different elements.";
+  CheckError<float>(output1, output2);
 #endif
 }

paddle/inference/tests/book/test_inference_label_semantic_roles.cc

@@ -13,8 +13,6 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include <gtest/gtest.h>
-#include <time.h>
-#include <sstream>
 #include "gflags/gflags.h"
 #include "test_helper.h"
 

paddle/inference/tests/book/test_inference_recognize_digits.cc

@@ -13,8 +13,6 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include <gtest/gtest.h>
-#include <time.h>
-#include <sstream>
 #include "gflags/gflags.h"
 #include "test_helper.h"