!14436 Refator eltwisegrad cpu ops

From: @wuxuejian
Reviewed-by: @kisnwang,@liangchenghui
Signed-off-by: @liangchenghui

mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.h

@@ -18,11 +18,13 @@
 #include <memory>
 #include <vector>
 #include <limits>
+#include <string>
 #include "backend/kernel_compiler/cpu/cpu_kernel.h"
 #include "backend/kernel_compiler/cpu/cpu_kernel_factory.h"
 
 namespace mindspore {
 namespace kernel {
+template <typename T>
 class EltWiseGradCPUKernel : public CPUKernel {
  public:
   EltWiseGradCPUKernel() = default;
@@ -32,95 +34,75 @@ class EltWiseGradCPUKernel : public CPUKernel {
 
   bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
               const std::vector<AddressPtr> &outputs) override;
-  template <typename T>
-  void LaunchKernel(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &outputs);
 
  private:
-  template <typename T>
   void ReluGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void ReLU6Grad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void AbsGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void SigmoidGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void SqrtGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void TanhGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void GeluGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void AsinGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void ACosGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void AtanGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void AsinhGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  template <typename T>
   void AcoshGrad(const T *input1, const T *input2, T *out, size_t start, size_t end);
-  std::vector<size_t> input_shape0_;
-  std::vector<size_t> input_shape1_;
-  std::vector<size_t> input_element_num0_;
-  std::vector<size_t> input_element_num1_;
-  std::vector<size_t> output_shape_;
-  std::vector<size_t> output_element_num_;
-  OperateType operate_type_{RELUGRAD};
-  TypeId dtype_{kTypeUnknown};
+
+  std::string kernel_name_ = "";
 };
 
-MS_REG_CPU_KERNEL(
+MS_REG_CPU_KERNEL_T(
   ReluGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   ReLU6Grad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   AbsGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   SigmoidGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   SqrtGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   TanhGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(GeLUGrad,
-                  KernelAttr()
-                    .AddInputAttr(kNumberTypeFloat32)
-                    .AddInputAttr(kNumberTypeFloat32)
-                    .AddInputAttr(kNumberTypeFloat32)
-                    .AddOutputAttr(kNumberTypeFloat32),
-                  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(GeLUGrad,
+                    KernelAttr()
+                      .AddInputAttr(kNumberTypeFloat32)
+                      .AddInputAttr(kNumberTypeFloat32)
+                      .AddInputAttr(kNumberTypeFloat32)
+                      .AddOutputAttr(kNumberTypeFloat32),
+                    EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   AsinGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   ACosGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   AtanGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   AsinhGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
-MS_REG_CPU_KERNEL(
+  EltWiseGradCPUKernel, float);
+MS_REG_CPU_KERNEL_T(
   AcoshGrad,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
-  EltWiseGradCPUKernel);
+  EltWiseGradCPUKernel, float);
 }  // namespace kernel
 }  // namespace mindspore