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// 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/funcs/activation_functor.h"
#include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/fluid/platform/device_context.h"
namespace phi {
#define ToString(x) #x
template <typename T, typename Context, typename Functor>
void ActivationImpl(const Context& dev_ctx,
const DenseTensor& X,
DenseTensor* Out,
const Functor& functor) {
PADDLE_ENFORCE_NOT_NULL(Out,
errors::NotFound("Output Out should not be nullptr"));
dev_ctx.template Alloc<T>(Out);
auto x = phi::EigenVector<T>::Flatten(
GET_DATA_SAFELY(&X, "Input", "X", "Activation"));
auto out = phi::EigenVector<T>::Flatten(
GET_DATA_SAFELY(Out, "Output", "Out", "Activation"));
auto* place = dev_ctx.eigen_device();
// use 32bit index to speed up computation
bool use_32bit_index = out.size() < Eigen::NumTraits<int>::highest();
bool is_gpu_place = paddle::platform::is_gpu_place(dev_ctx.GetPlace());
if (use_32bit_index && is_gpu_place) {
functor(*place, To32BitIndex(x), To32BitIndex(out));
} else {
functor(*place, x, out);
}
}
template <typename T, typename Context>
void PowKernel(const Context& dev_ctx,
const DenseTensor& x,
const Scalar& factor,
DenseTensor* out) {
PADDLE_ENFORCE_NOT_NULL(out,
errors::NotFound("Output Out should not be nullptr"));
dev_ctx.template Alloc<T>(out);
auto x_flatten = phi::EigenVector<T>::Flatten(
GET_DATA_SAFELY(&x, "Input", "X", "Activation"));
auto out_flatten = phi::EigenVector<T>::Flatten(
GET_DATA_SAFELY(out, "Output", "Out", "Activation"));
auto* place = dev_ctx.eigen_device();
phi::funcs::PowFunctor<T> functor;
auto attrs = functor.GetAttrs();
*(attrs[0].second) = factor.to<float>();
functor(*place, x_flatten, out_flatten);
}
} // namespace phi