[MKLDNN] Delete mkldnn hard code of prior_box (#47068)

* remove prior_box mkldnn hard code

* add header file

* simplify PD_VISIT_TYPE

* decouple dependency between prior_box and density_prior_box

* fix pragma omp parallel error

* bypass #pragma omp_parallel_for error

* polish code

* remove visit_type headerfile

* polish codestyle

* polish codestyle

* try fix CI error

* add testcase, datatype=float64

* reset test_prior_box testcase

* add datacheck to DenseTensor

* update template name

* call prior_box with macro expand

paddle/fluid/operators/detection/prior_box_op.cc

@@ -34,26 +34,6 @@ class PriorBoxOp : public framework::OperatorWithKernel {
       const framework::ExecutionContext& ctx) const override {
     auto input_input_type =
         OperatorWithKernel::IndicateVarDataType(ctx, "Input");
-
-#ifdef PADDLE_WITH_MKLDNN
-    if (this->CanMKLDNNBeUsed(ctx, input_input_type)) {
-      auto input_image_type = framework::TransToProtoVarType(
-          ctx.Input<phi::DenseTensor>("Image")->dtype());
-      int customized_type_value =
-          framework::OpKernelType::kDefaultCustomizedTypeValue;
-      if (input_image_type == framework::DataTypeTrait<float>::DataType()) {
-        customized_type_value = kPriorBoxFLOAT;
-      } else if (input_image_type ==
-                 framework::DataTypeTrait<double>::DataType()) {
-        customized_type_value = kPriorBoxDOUBLE;
-      }
-      return framework::OpKernelType(input_input_type,
-                                     ctx.GetPlace(),
-                                     phi::DataLayout::kMKLDNN,
-                                     framework::LibraryType::kMKLDNN,
-                                     customized_type_value);
-    }
-#endif
     return framework::OpKernelType(input_input_type, ctx.GetPlace());
   }
 };
@@ -209,44 +189,10 @@ REGISTER_OPERATOR(
     paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
     PriorBoxInferShapeFunctor);
 
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
-                                    MKLDNN,
-                                    ::paddle::platform::CPUPlace,
-                                    FF,
-                                    ops::kPriorBoxFLOAT,
-                                    ops::PriorBoxOpKernel<float, float>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
-                                    MKLDNN,
-                                    ::paddle::platform::CPUPlace,
-                                    DD,
-                                    ops::kPriorBoxDOUBLE,
-                                    ops::PriorBoxOpKernel<double, double>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
-                                    MKLDNN,
-                                    ::paddle::platform::CPUPlace,
-                                    U8F,
-                                    ops::kPriorBoxFLOAT,
-                                    ops::PriorBoxOpKernel<uint8_t, float>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
-                                    MKLDNN,
-                                    ::paddle::platform::CPUPlace,
-                                    S8F,
-                                    ops::kPriorBoxFLOAT,
-                                    ops::PriorBoxOpKernel<int8_t, float>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
-                                    MKLDNN,
-                                    ::paddle::platform::CPUPlace,
-                                    U8D,
-                                    ops::kPriorBoxDOUBLE,
-                                    ops::PriorBoxOpKernel<uint8_t, double>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(prior_box,
+REGISTER_OP_KERNEL(prior_box,
                    MKLDNN,
                    ::paddle::platform::CPUPlace,
-                                    S8D,
-                                    ops::kPriorBoxDOUBLE,
-                                    ops::PriorBoxOpKernel<int8_t, double>);
+                   ops::PriorBoxOpKernel<float>,
+                   ops::PriorBoxOpKernel<double>,
+                   ops::PriorBoxOpKernel<uint8_t>,
+                   ops::PriorBoxOpKernel<int8_t>);

paddle/fluid/operators/detection/prior_box_op.h

@@ -18,14 +18,12 @@ limitations under the License. */
 
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/platform/transform.h"
+#include "paddle/phi/core/visit_type.h"
 #include "paddle/phi/kernels/funcs/math_function.h"
 
 namespace paddle {
 namespace operators {
 
-constexpr int kPriorBoxFLOAT = 1;
-constexpr int kPriorBoxDOUBLE = 2;
-
 inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
                                bool flip,
                                std::vector<float>* output_aspect_ratior) {
@@ -50,10 +48,19 @@ inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
   }
 }
 
-template <typename T, typename K>
+template <typename T>
 class PriorBoxOpKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
+    auto* image = ctx.Input<phi::DenseTensor>("Image");
+
+    PD_VISIT_FLOATING_TYPES(image->dtype(), "PriorBoxOpHandler", ([&] {
+                              PriorBoxOpHandler<data_t>(ctx);
+                            }));
+  }
+
+  template <typename K>
+  void PriorBoxOpHandler(const framework::ExecutionContext& ctx) const {
     auto* input = ctx.Input<phi::DenseTensor>("Input");
     auto* image = ctx.Input<phi::DenseTensor>("Image");
     auto* boxes = ctx.Output<phi::DenseTensor>("Boxes");
@@ -200,7 +207,7 @@ class PriorBoxOpKernel : public framework::OpKernel<T> {
     }
     vars->Resize(var_dim);
   }
-};  // namespace operators
+};
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/platform/mkldnn_op_list.h

@@ -54,10 +54,7 @@ static const std::unordered_set<std::string> mkldnn_white_list = {
     "flatten",
     "flatten_grad",
     "flatten2",
-    "flatten2_grad",
-    // NOTE(jiahongyu): Below ops register kernel with customized_type_value, we
-    // need to analysis and solve them one-by-one.
-    "prior_box"};
+    "flatten2_grad"};
 
 inline bool in_mkldnn_white_list(const std::string& op_name) {
   return mkldnn_white_list.find(op_name) != mkldnn_white_list.end();

paddle/phi/core/dense_tensor.cc

@@ -139,8 +139,10 @@ const T* DenseTensor::data() const {
       dtype(),
       paddle::experimental::CppTypeToDataType<T>::Type(),
       phi::errors::InvalidArgument(
-          "The type of data we are trying to retrieve does not match the "
-          "type of data currently contained in the container."));
+          "The type of data we are trying to retrieve (%s) does not match the "
+          "type of data (%s) currently contained in the container.",
+          paddle::experimental::CppTypeToDataType<T>::Type(),
+          dtype()));
   return static_cast<const T*>(data());
 }
 
@@ -150,8 +152,10 @@ T* DenseTensor::data() {
   PADDLE_ENFORCE(
       (dtype() == paddle::experimental::CppTypeToDataType<T>::Type()),
       phi::errors::InvalidArgument(
-          "The type of data we are trying to retrieve does not match the "
-          "type of data currently contained in the container."));
+          "The type of data we are trying to retrieve (%s) does not match the "
+          "type of data (%s) currently contained in the container.",
+          paddle::experimental::CppTypeToDataType<T>::Type(),
+          dtype()));
   return ret;
 }