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// Copyright (c) 2024 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_device_function.h"
#include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/activation_functor.h"
#include "paddle/phi/kernels/funcs/elementwise/elementwise_op_impl.cu.h"
namespace phi {
template <typename T>
struct CudaSoftReluFunctor {
using MT = typename MPTypeTrait<T>::Type;
MT one = static_cast<MT>(1.0f);
float threshold;
void SetAttrs(float threshold_) { threshold = threshold_; }
// soft_relu(x) = log(1 + exp(max(min(x, threshold), -threshold)))
// threshold should not be negative
__device__ __forceinline__ T operator()(const T arg_x) {
MT x = static_cast<MT>(arg_x);
MT t = static_cast<MT>(threshold);
MT temp_min = x < t ? x : t;
MT temp_max = temp_min > -t ? temp_min : -t;
return static_cast<T>(log(one + exp(temp_max)));
}
};
template <typename T, typename Context>
void SoftReluCudaKernel(const Context& dev_ctx,
const DenseTensor& x,
float threshold,
DenseTensor* out) {
dev_ctx.template Alloc<T>(out);
std::vector<const DenseTensor*> ins = {&x};
std::vector<DenseTensor*> outs = {out};
CudaSoftReluFunctor<T> functor;
functor.SetAttrs(threshold);
funcs::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins, &outs, functor);
}
} // namespace phi
PD_REGISTER_KERNEL(soft_relu,
GPU,
ALL_LAYOUT,
phi::SoftReluCudaKernel,
float,
double,
phi::float16,
phi::bfloat16) {}