[phi] tranfer the selu_op and pass the CI (#39819)

* tranfer the selu_op and pass the CI

* add sig files

* fix code

* fix by code review

* remove TOOD

* change the include position

* change the head position

paddle/fluid/operators/selu_op.cc

@@ -12,8 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#include "paddle/fluid/operators/selu_op.h"
-
 #include <memory>
 #include <string>
 #include <unordered_map>
@@ -127,9 +125,3 @@ REGISTER_OPERATOR(selu, ops::SeluOp, ops::SeluOpMaker, ops::SeluOpInferVarType,
                   ops::SeluGradMaker<paddle::framework::OpDesc>,
                   ops::SeluGradMaker<paddle::imperative::OpBase>);
 REGISTER_OPERATOR(selu_grad, ops::SeluGradOp);
-REGISTER_OP_CPU_KERNEL(
-    selu, ops::SeluKernel<paddle::platform::CPUDeviceContext, float>,
-    ops::SeluKernel<paddle::platform::CPUDeviceContext, double>);
-REGISTER_OP_CPU_KERNEL(
-    selu_grad, ops::SeluGradKernel<paddle::platform::CPUDeviceContext, float>,
-    ops::SeluGradKernel<paddle::platform::CPUDeviceContext, double>);

paddle/fluid/operators/selu_op.cu

-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License. */
-#include "paddle/fluid/operators/selu_op.h"
-
-namespace ops = paddle::operators;
-REGISTER_OP_CUDA_KERNEL(
-    selu, ops::SeluKernel<paddle::platform::CUDADeviceContext, float>,
-    ops::SeluKernel<paddle::platform::CUDADeviceContext, double>);
-REGISTER_OP_CUDA_KERNEL(
-    selu_grad, ops::SeluGradKernel<paddle::platform::CUDADeviceContext, float>,
-    ops::SeluGradKernel<paddle::platform::CUDADeviceContext, double>);

paddle/phi/kernels/cpu/selu_grad_kernel.cc

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/selu_grad_kernel.h"
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_grad_kernel_impl.h"
+
+PD_REGISTER_KERNEL(
+    selu_grad, CPU, ALL_LAYOUT, phi::SeluGradKernel, float, double) {}

paddle/phi/kernels/cpu/selu_kernel.cc

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/selu_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_kernel_impl.h"
+
+PD_REGISTER_KERNEL(selu, CPU, ALL_LAYOUT, phi::SeluKernel, float, double) {}

paddle/phi/kernels/gpu/selu_grad_kernel.cu

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/selu_grad_kernel.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_grad_kernel_impl.h"
+
+PD_REGISTER_KERNEL(
+    selu_grad, GPU, ALL_LAYOUT, phi::SeluGradKernel, float, double) {}

paddle/phi/kernels/gpu/selu_kernel.cu

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/selu_kernel.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_kernel_impl.h"
+
+PD_REGISTER_KERNEL(selu, GPU, ALL_LAYOUT, phi::SeluKernel, float, double) {}

paddle/phi/kernels/impl/selu_grad_kernel_impl.h

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+#include "paddle/phi/kernels/impl/selu_kernel_impl.h"
+
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+template <typename T, typename Context>
+void SeluGradKernel(const Context& dev_ctx,
+                    const DenseTensor& out,
+                    const DenseTensor& dout,
+                    float scale,
+                    float alpha,
+                    DenseTensor* dx) {
+  auto dx_ptr = dev_ctx.template Alloc<T>(dx);
+  SeluGradFunctor<T> functor(
+      out.data<T>(), dout.data<T>(), alpha, scale, dx_ptr);
+  size_t limit = static_cast<size_t>(out.numel());
+  paddle::platform::ForRange<Context> for_range(dev_ctx, limit);
+  for_range(functor);
+}
+}  // namespace phi

paddle/fluid/operators/selu_op.h → paddle/phi/kernels/impl/selu_kernel_impl.h

-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License. */
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
 
 #pragma once
 #include <string>
-#include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/operators/math.h"
 #include "paddle/fluid/platform/for_range.h"
+#include "paddle/phi/core/dense_tensor.h"
 
-namespace paddle {
-namespace operators {
+namespace phi {
 
 template <typename T>
 struct SeluFunctor {
@@ -32,7 +31,7 @@ struct SeluFunctor {
   HOSTDEVICE void operator()(size_t idx) const {
     T x_ele = x_data_ptr_[idx];
     if (x_ele <= 0) {
-      x_ele = alpha_ * real_exp(x_ele) - alpha_;
+      x_ele = alpha_ * paddle::operators::real_exp(x_ele) - alpha_;
     }
     y_data_ptr_[idx] = scale_ * x_ele;
   }
@@ -44,8 +43,11 @@ struct SeluFunctor {
 
 template <typename T>
 struct SeluGradFunctor {
-  SeluGradFunctor(const T* y_data_ptr, const T* dy_data_ptr, float alpha,
-                  float scale, T* dx_data_ptr)
+  SeluGradFunctor(const T* y_data_ptr,
+                  const T* dy_data_ptr,
+                  float alpha,
+                  float scale,
+                  T* dx_data_ptr)
       : y_data_ptr_(y_data_ptr),
         dy_data_ptr_(dy_data_ptr),
         alpha_(alpha),
@@ -71,53 +73,16 @@ struct SeluGradFunctor {
   T* dx_data_ptr_;
 };
 
-template <typename DeviceContext, typename T>
-class SeluKernel : public framework::OpKernel<T> {
- public:
-  void Compute(const framework::ExecutionContext& context) const override {
-    using Tensor = framework::Tensor;
-
-    auto* x = context.Input<Tensor>("X");
-    auto* out = context.Output<Tensor>("Out");
-
-    float alpha = context.Attr<float>("alpha");
-    float scale = context.Attr<float>("scale");
-
-    auto out_ptr = out->mutable_data<T>(context.GetPlace());
-
-    SeluFunctor<T> functor(x->data<T>(), alpha, scale, out_ptr);
-
-    auto& dev_ctx = context.template device_context<DeviceContext>();
-    size_t limit = static_cast<size_t>(x->numel());
-    platform::ForRange<DeviceContext> for_range(dev_ctx, limit);
-    for_range(functor);
-  }
-};
-
-template <typename DeviceContext, typename T>
-class SeluGradKernel : public framework::OpKernel<T> {
- public:
-  void Compute(const framework::ExecutionContext& context) const override {
-    using Tensor = framework::Tensor;
-
-    auto* out = context.Input<Tensor>("Out");
-    auto* dout = context.Input<Tensor>(framework::GradVarName("Out"));
-    auto* dx = context.Output<Tensor>(framework::GradVarName("X"));
-
-    float alpha = context.Attr<float>("alpha");
-    float scale = context.Attr<float>("scale");
-
-    auto dx_ptr = dx->mutable_data<T>(context.GetPlace());
-
-    SeluGradFunctor<T> functor(out->data<T>(), dout->data<T>(), alpha, scale,
-                               dx_ptr);
-
-    auto& dev_ctx = context.template device_context<DeviceContext>();
-    size_t limit = static_cast<size_t>(out->numel());
-    platform::ForRange<DeviceContext> for_range(dev_ctx, limit);
-    for_range(functor);
-  }
-};
-
-}  // namespace operators
-}  // namespace paddle
+template <typename T, typename Context>
+void SeluKernel(const Context& dev_ctx,
+                const DenseTensor& x,
+                float scale,
+                float alpha,
+                DenseTensor* out) {
+  auto out_ptr = dev_ctx.template Alloc<T>(out);
+  SeluFunctor<T> functor(x.data<T>(), alpha, scale, out_ptr);
+  size_t limit = static_cast<size_t>(x.numel());
+  paddle::platform::ForRange<Context> for_range(dev_ctx, limit);
+  for_range(functor);
+}
+}  // namespace phi

paddle/phi/kernels/selu_grad_kernel.h

+
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void SeluGradKernel(const Context& dev_ctx,
+                    const DenseTensor& out,
+                    const DenseTensor& d_out,
+                    float scale,
+                    float alpha,
+                    DenseTensor* d_x);
+}  // namespace phi

paddle/phi/kernels/selu_kernel.h

+
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void SeluKernel(const Context& dev_ctx,
+                const DenseTensor& x,
+                float scale,
+                float alpha,
+                DenseTensor* out);
+}  // phi

paddle/phi/ops/compat/selu_sig.cc

+
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/core/compat/op_utils.h"
+
+namespace phi {
+
+KernelSignature SeluGradGradOpArgumentMapping(
+    const ArgumentMappingContext& ctx) {
+  return KernelSignature("selu_grad",
+                         {"Out", GradVarName("Out")},
+                         {"scale", "alpha"},
+                         {GradVarName("X")});
+}
+}  // namespace phi
+PD_REGISTER_ARG_MAPPING_FN(selu_grad, phi::SeluGradGradOpArgumentMapping);