111 lines
3.3 KiB
C++
111 lines
3.3 KiB
C++
/* 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 <vector>
|
|
|
|
#include "paddle/phi/kernels/funcs/math_function.h"
|
|
|
|
namespace phi {
|
|
|
|
#define CUDA_NUM_THREADS 1024
|
|
|
|
inline static int64_t PADDLE_GET_BLOCKS(const int64_t N) {
|
|
return (N + CUDA_NUM_THREADS - 1) / CUDA_NUM_THREADS;
|
|
}
|
|
|
|
template <typename T>
|
|
struct PReluChannelFirstWiseCUDAFunctor {
|
|
const T* x_;
|
|
const T* alpha_;
|
|
size_t channel_num_;
|
|
size_t plane_size_;
|
|
int64_t numel_;
|
|
|
|
HOSTDEVICE inline PReluChannelFirstWiseCUDAFunctor(const T* x,
|
|
const T* alpha,
|
|
int64_t numel,
|
|
size_t channel_num,
|
|
size_t plane_size)
|
|
: x_(x),
|
|
alpha_(alpha),
|
|
numel_(numel),
|
|
channel_num_(channel_num),
|
|
plane_size_(plane_size) {}
|
|
|
|
HOSTDEVICE inline T operator()(const int64_t n) const {
|
|
T zero = static_cast<T>(0);
|
|
size_t temp = n / plane_size_;
|
|
size_t channel_index = temp % channel_num_;
|
|
T scale = alpha_[channel_index];
|
|
T x = x_[n];
|
|
return (x > zero) ? x : scale * x;
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct PReluChannelLastWiseCUDAFunctor {
|
|
const T* x_;
|
|
const T* alpha_;
|
|
size_t channel_num_;
|
|
|
|
HOSTDEVICE inline PReluChannelLastWiseCUDAFunctor(const T* x,
|
|
const T* alpha,
|
|
size_t channel_num)
|
|
: x_(x), alpha_(alpha), channel_num_(channel_num) {}
|
|
|
|
HOSTDEVICE inline T operator()(const int64_t n) const {
|
|
T zero = static_cast<T>(0);
|
|
size_t channel_index = n % channel_num_;
|
|
T scale = alpha_[channel_index];
|
|
T x = x_[n];
|
|
return (x > zero) ? x : scale * x;
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct PreluElementWiseDirectCUDAFunctor {
|
|
const T* x_;
|
|
const T* alpha_;
|
|
size_t spatial_size_;
|
|
|
|
HOSTDEVICE inline PreluElementWiseDirectCUDAFunctor(const T* x,
|
|
const T* alpha,
|
|
size_t spatial_size)
|
|
: x_(x), alpha_(alpha), spatial_size_(spatial_size) {}
|
|
|
|
HOSTDEVICE inline T operator()(const int64_t n) const {
|
|
T zero = static_cast<T>(0);
|
|
size_t element_index = n % spatial_size_;
|
|
T scale = alpha_[element_index];
|
|
T x = x_[n];
|
|
return (x > zero) ? x : scale * x;
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct PreluScalarDirectCUDAFunctor {
|
|
const T* scalar_;
|
|
HOSTDEVICE inline PreluScalarDirectCUDAFunctor(const T* scalar)
|
|
: scalar_(scalar) {}
|
|
HOSTDEVICE inline T operator()(const T x) const {
|
|
T zero = static_cast<T>(0);
|
|
return (x > zero) ? x : scalar_[0] * x;
|
|
}
|
|
};
|
|
|
|
} // namespace phi
|