modify test conv op

src/io.cpp

@@ -224,6 +224,18 @@ const framework::Program<Dtype, P> Loader<Dtype, P>::Load(
     }
 
     for (const auto &var : block.vars()) {
+      if (var.type().type() == framework::proto::VarType::LOD_TENSOR) {
+        LOG(kLOG_DEBUG1) << "var name: " << var.name();
+        const framework::proto::VarType::TensorDesc &tensor_desc =
+            var.type().lod_tensor().tensor();
+        LOG(kLOG_DEBUG2) << "in var tensor desc dims size: "
+                         << tensor_desc.dims().size();
+        for (int l = 0; l < tensor_desc.dims().size(); ++l) {
+          LOG(kLOG_DEBUG3) << "var tensor desc dim " << l
+                           << " value: " << tensor_desc.dims()[l];
+        }
+      }
+
       if (var.persistable() &&
           var.type().type() != framework::proto::VarType::FEED_MINIBATCH &&
           var.type().type() != framework::proto::VarType::FETCH_LIST) {

test/operators/test_cov_op.cpp

@@ -28,9 +28,9 @@ int main() {
       executor(program, "conv2d");
 
   paddle_mobile::framework::Tensor input;
-  SetupTensor<float>(&input, {1, 3, 32, 32}, static_cast<float>(0),
-                     static_cast<float>(1));
-  auto out_ddim = paddle_mobile::framework::make_ddim({1, 64, 56, 56});
+  GetInput<float>(g_test_image_1x3x224x224, &input, {1, 3, 224, 224});
+
+  auto out_ddim = paddle_mobile::framework::make_ddim({1, 64, 112, 112});
   auto output = executor.predict(input, "data", "conv2d_0.tmp_0", out_ddim);
 
   auto output_ptr = output->data<float>();

test/test_helper.h

@@ -60,3 +60,14 @@ void GetInput(const std::string &input_name, std::vector<T> *input,
   }
   free(input_ptr);
 }
+
+template <typename T>
+void GetInput(const std::string &input_name, paddle_mobile::framework::Tensor *input,
+              paddle_mobile::framework::DDim dims) {
+
+  T *input_ptr = input->mutable_data<T>(dims);
+
+  std::ifstream in(input_name, std::ios::in | std::ios::binary);
+  in.read((char *)(input_ptr), input->numel() * sizeof(T));
+  in.close();
+}