wehub-resource-sync
73 lines
2.1 KiB
C++
73 lines
2.1 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.
|
|
|
|
#include "paddle/phi/kernels/rrelu_kernel.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/generator.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void RReluKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const float lower,
|
|
const float upper,
|
|
bool is_test,
|
|
DenseTensor* out,
|
|
DenseTensor* noise) {
|
|
const T* x_ptr = x.data<T>();
|
|
T* o_ptr = dev_ctx.template Alloc<T>(out);
|
|
T* n_ptr = dev_ctx.template Alloc<T>(noise);
|
|
T zero = static_cast<T>(0);
|
|
int numel = static_cast<int>(x.numel());
|
|
int i = 0;
|
|
|
|
if (is_test) {
|
|
T mid_val = static_cast<T>((lower + upper) / 2.0);
|
|
for (i = 0; i < numel; i++) {
|
|
if (x_ptr[i] < zero) {
|
|
o_ptr[i] = mid_val * x_ptr[i];
|
|
n_ptr[i] = mid_val;
|
|
} else {
|
|
o_ptr[i] = x_ptr[i];
|
|
n_ptr[i] = 1.0;
|
|
}
|
|
}
|
|
|
|
return;
|
|
}
|
|
|
|
auto engine = dev_ctx.GetGenerator()->GetCPUEngine();
|
|
|
|
std::uniform_real_distribution<float> dist(lower, upper);
|
|
|
|
for (i = 0; i < numel; i++) {
|
|
if (x_ptr[i] < zero) {
|
|
T scale = static_cast<T>(dist(*engine));
|
|
o_ptr[i] = scale * x_ptr[i];
|
|
n_ptr[i] = scale;
|
|
} else {
|
|
o_ptr[i] = x_ptr[i];
|
|
n_ptr[i] = 1.0;
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
rrelu, CPU, ALL_LAYOUT, phi::RReluKernel, float, phi::float16, double) {}
|