Remove some comments

PaddlePaddle · Jul 4, 2022 · c1073aa · c1073aa
1 parent e051af3
commit c1073aa
Showing 1 changed file with 1 addition and 30 deletions.
diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc
@@ -1746,37 +1746,8 @@ PYBIND11_MODULE(core_noavx, m) {
         return new_rows;
       });
 
-  // extern PyTypeObject* p_tensor_type;
-
   py::class_<jit::ExecutorFunction, std::shared_ptr<jit::ExecutorFunction>>(
       m, "ExectorFunction", R"DOC(ExectorFunction Class.)DOC")
-      // .def("__call__", &jit::ExecutorFunction::operator())
-      // .def("__call__", [](jit::ExecutorFunction &self, const
-      // std::vector<py::object> &tensor_inputs) { if
-      // (PyObject_IsInstance(tensor_inputs[0].ptr(),
-      // reinterpret_cast<PyObject*>(p_tensor_type))) {
-      //   VLOG(3) << "eager tensor";
-      // } else {
-      //   VLOG(3) << "varbase";
-      // }
-
-      // std::vector<Variable> var_inputs;
-      // for (auto &tensor: tensor_inputs) {
-      //   auto real_tensor = tensor->tensor;
-      //   Variable var;
-      //   auto *dense_tensor = var.GetMutable<frameworkPyTypeObject>();
-      //   dense_tensor->ShareDataWith(*static_cast<framework::Tensor*>(real_tensor.impl().get()));
-      //   var_inputs.emplace_back(var);
-      // }
-      // auto var_outputs = self(var_inputs);
-      // std::vector<paddle::experimental::Tensor> tensor_outputs;
-      // for (auto &var: var_outputs) {
-      //   paddle::experimental::Tensor tensor;
-      //   tensor.set_impl(std::make_shared<framework::Tensor>(var.Get<framework::Tensor>()));
-      //   tensor_outputs.emplace_back(tensor);
-      // }
-      // return tensor_outputs;
-      // })
       .def("__call__",
            [](jit::ExecutorFunction &self,
               const std::vector<std::shared_ptr<imperative::VarBase>>
@@ -1802,11 +1773,11 @@ PYBIND11_MODULE(core_noavx, m) {
       .def("forward", &jit::Layer::forward)
       .def("function_names", &jit::Layer::FunctionNames);
 
-  // m.def("Load", &paddle::jit::Load);
   m.def("Load",
         [](const std::string &path, const platform::CPUPlace &cpu_place) {
           return paddle::jit::Load(path, cpu_place);
         });
+
   m.def("Load",
         [](const std::string &path, const platform::CUDAPlace &cuda_place) {
           return paddle::jit::Load(path, cuda_place);