add_executor_ut

Change-Id: Ibc3221bdb90032663e7078e63a839dbde4c119d1

paddle/fluid/train/custom_trainer/feed/unit_test/test_executor.cc

@@ -13,26 +13,90 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include <iostream>
+#include <fstream>
 #include <gtest/gtest.h>
 
 #include "paddle/fluid/train/custom_trainer/feed/executor/executor.h"
 #include "paddle/fluid/framework/tensor_util.h"
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/framework/io/fs.h"
 
 namespace paddle {
 namespace custom_trainer {
 namespace feed {
 
+<<<<<<< HEAD
 TEST(testSimpleExecutor, initialize) {
     SimpleExecutor execute;
     auto context_ptr = std::make_shared<TrainerContext>();
+=======
+const char test_data_dir[] = "test_data";
+const char main_program_path[] = "test_data/main_program";
+const char startup_program_path[] = "test_data/startup_program";
+
+class SimpleExecuteTest : public testing::Test
+{
+public:
+    static void SetUpTestCase()
+    {
+        ::paddle::framework::localfs_mkdir(test_data_dir);
+
+        {
+            std::unique_ptr<paddle::framework::ProgramDesc> startup_program(
+                new paddle::framework::ProgramDesc());
+            std::ofstream fout(startup_program_path, std::ios::out | std::ios::binary);
+            ASSERT_TRUE(fout);
+            fout << startup_program->Proto()->SerializeAsString();
+            fout.close();
+        }
+
+        {
+            std::unique_ptr<paddle::framework::ProgramDesc> main_program(
+                new paddle::framework::ProgramDesc());
+
+            auto load_block = main_program->MutableBlock(0);
+            framework::OpDesc* op = load_block->AppendOp();
+            op->SetType("mean");
+            op->SetInput("X", {"x"});
+            op->SetOutput("Out", {"mean"});
+            op->CheckAttrs();
+            std::ofstream fout(main_program_path, std::ios::out | std::ios::binary);
+            ASSERT_TRUE(fout);
+            fout << main_program->Proto()->SerializeAsString();
+            fout.close();
+        }
+    }
+
+    static void TearDownTestCase()
+    {
+        ::paddle::framework::localfs_remove(test_data_dir);
+    }
+
+    virtual void SetUp()
+    {
+        context_ptr.reset(new TrainerContext());
+    }
+
+    virtual void TearDown()
+    {
+        context_ptr = nullptr;
+    }
+
+    std::shared_ptr<TrainerContext> context_ptr;
+};
+
+TEST_F(SimpleExecuteTest, initialize) {
+    SimpleExecute execute;
+>>>>>>> add_executor_ut
     YAML::Node config = YAML::Load("[1, 2, 3]");
     ASSERT_NE(0, execute.initialize(config, context_ptr));
-    config = YAML::Load("{startup_program: ./data/startup_program, main_program: ./data/main_program}");
+    config = YAML::Load(std::string() + "{startup_program: " + startup_program_path + ", main_program: " + main_program_path + "}");
     ASSERT_EQ(0, execute.initialize(config, context_ptr));
-    config = YAML::Load("{thread_num: 2, startup_program: ./data/startup_program, main_program: ./data/main_program}");
+    config = YAML::Load(std::string() + "{thread_num: 2, startup_program: " + startup_program_path + ", main_program: " + main_program_path + "}");
     ASSERT_EQ(0, execute.initialize(config, context_ptr));
 }
 
+<<<<<<< HEAD
 float uniform(float min, float max) {
     float result = (float)rand() / RAND_MAX;
     return min + result * (max - min);
@@ -58,21 +122,33 @@ TEST(testSimpleExecutor, run) {
     SimpleExecutor execute;
     auto context_ptr = std::make_shared<TrainerContext>();
     auto config = YAML::Load("{thread_num: 2, startup_program: ./data/startup_program, main_program: ./data/main_program}");
+=======
+TEST_F(SimpleExecuteTest, run) {
+    SimpleExecute execute;
+    auto config = YAML::Load(std::string() + "{thread_num: 2, startup_program: " + startup_program_path + ", main_program: " + main_program_path + "}");
+>>>>>>> add_executor_ut
     ASSERT_EQ(0, execute.initialize(config, context_ptr));
-
     
 	auto x_var = execute.mutable_var<::paddle::framework::LoDTensor>("x");
-	auto y_var = execute.mutable_var<::paddle::framework::LoDTensor>("y");
+    execute.mutable_var<::paddle::framework::LoDTensor>("mean");
     ASSERT_NE(nullptr, x_var);
-    ASSERT_NE(nullptr, y_var);
 
-    next_batch(1024, context_ptr->cpu_place, x_var, y_var);
+    int x_len = 10;
+	x_var->Resize({1, x_len});
+	auto x_data = x_var->mutable_data<float>(context_ptr->cpu_place);
+    std::cout << "x: ";
+    for (int i = 0; i < x_len; ++i) {
+        x_data[i] = i;
+        std::cout << i << " ";
+    }
+    std::cout << std::endl;
 
     ASSERT_EQ(0, execute.run());
 
-	auto loss_var = execute.var<::paddle::framework::LoDTensor>("loss");
-    auto loss = loss_var.data<float>()[0];
-    std::cout << "loss: " << loss << std::endl;
+	auto mean_var = execute.var<::paddle::framework::LoDTensor>("mean");
+    auto mean = mean_var.data<float>()[0];
+    std::cout << "mean: " << mean << std::endl;
+    ASSERT_NEAR(4.5, mean, 1e-9);
 }
 
 }  // namespace feed