[phi] tranfer the selu_op and pass the CI

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/phi/kernels/cpu/selu_grad_kernel.cc

@@ -0,0 +1,21 @@
+// 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

@@ -0,0 +1,20 @@
+// 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

@@ -0,0 +1,21 @@
+// 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/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_grad_kernel_impl.h"
+#include "paddle/phi/kernels/selu_grad_kernel.h"
+
+PD_REGISTER_KERNEL(
+    selu_grad, GPU, ALL_LAYOUT, phi::SeluGradKernel, float, double) {}

paddle/phi/kernels/gpu/selu_kernel.cu

@@ -0,0 +1,21 @@
+// 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/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/selu_kernel_impl.h"
+#include "paddle/phi/kernels/selu_kernel.h"
+
+// TODO(add supported dtype.)
+PD_REGISTER_KERNEL(selu, GPU, ALL_LAYOUT, phi::SeluKernel, float, double) {}

paddle/phi/kernels/impl/selu_grad_kernel_impl.h

@@ -0,0 +1,33 @@
+// 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"
+#include "paddle/phi/kernels/impl/selu_kernel_impl.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/phi/kernels/impl/selu_kernel_impl.h

@@ -0,0 +1,91 @@
+// 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
+#if defined(__NVCC__) || defined(__HIPCC__)
+// TODO( add GPU related file here )
+#endif
+#include <string>
+#include "paddle/fluid/operators/math.h"
+#include "paddle/fluid/platform/for_range.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T>
+struct SeluFunctor {
+  SeluFunctor(const T* x_data_ptr, float alpha, float scale, T* y_data_ptr)
+      : x_data_ptr_(x_data_ptr),
+        alpha_(alpha),
+        scale_(scale),
+        y_data_ptr_(y_data_ptr) {}
+
+  HOSTDEVICE void operator()(size_t idx) const {
+    T x_ele = x_data_ptr_[idx];
+    if (x_ele <= 0) {
+      x_ele = alpha_ * paddle::operators::real_exp(x_ele) - alpha_;
+    }
+    y_data_ptr_[idx] = scale_ * x_ele;
+  }
+  const T* x_data_ptr_;
+  const float alpha_;
+  const float scale_;
+  T* y_data_ptr_;
+};
+
+template <typename T>
+struct SeluGradFunctor {
+  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),
+        scale_(scale),
+        la_(alpha * scale),
+        dx_data_ptr_(dx_data_ptr) {}
+
+  HOSTDEVICE void operator()(size_t idx) const {
+    T y_ele = y_data_ptr_[idx];
+    T dy_ele = dy_data_ptr_[idx];
+
+    float tmp = scale_;
+    if (y_ele <= 0) {
+      tmp = y_ele + la_;
+    }
+    dx_data_ptr_[idx] = dy_ele * tmp;
+  }
+  const T* y_data_ptr_;
+  const T* dy_data_ptr_;
+  const float alpha_;
+  const float scale_;
+  const float la_;
+  T* dx_data_ptr_;
+};
+
+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