## Problem In PaddlePaddle's [Design](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/switch_kernel.md), one Operator may have multiple kernels. Users may have some personal preference to choose a certain type of kernel for an operator, such as `force_cpu` to use a CPU kernel, `use_cudnn` to choose a CUDNN kernel, we need to provide a way for a user to do this. In the current design, we use KernelType to describe one kernel. ```cpp struct KernelType { Place place_; DataType data_type_; LayoutType layout_; }; ``` `place_` `data_type_` and `layout_` can come from the input tensor of the operator, `GetActualKernelType(inputs)` use inputs to infer the proper kernel key that fit the incoming data, user can not config it. The design also provides a virtual method `GetExpectedKernelType` that user can overload and choose the KernelType they want to use. so, we should send the information user defined in proto to `GetExpectedKernelType` for choosing a kernel. The problem is, how should we define and send the information for `GetExpectedKernelType` to use? ## Solution ### potential choice 1, Do nothing, let the user add the information they want to operator‘s attribute and get them inside `GetExpectedKernelType`, this can work right. But there is a little problem that users may define many kinds of hints for the same purpose, such as `force_cpu`, `use_cpu`, `CPU` for CPU kernel, and `use_cudnn`, `force_cudnn`, `cudnn_kernel` for use of CUDNN kernel. 2, Pre-define all the needed option and use a single attr key such as `kernel_hint` for the user, this is not so flexible if the user wants to define some more kind of hint. ### final choice To provide enough flexibility while avoiding confusion definition, we can predefine some options, such as `force_cpu`, `use_cudnn`, `use_mkldnn` for a user to choose. ```cpp const std::string kNonHint = ""; const std::string kForceCPU = "force_cpu"; const std::string kUseCUDNN = "use_cudnn"; const std::string kUseMKLDNN = "use_mkldnn"; KernelType GetExpectedKernelTyp() { // "kernel_hint" is a user defined attribute name if (Attr("kernel_hint") == kForceCPU) { return KernelType(CPUPlace, ...) } else { ... } } ``` In Python code ```python def xx_layer(..., kernel_hint=None): layer_helper = ... layer_helper .append_op( type="xx", # "kernel_hint" should be the same with the attr name in CPP attr={"kernel_hint": kernel_hint or ""}) ```