wehub-resource-sync
115 lines
3.1 KiB
Plaintext
115 lines
3.1 KiB
Plaintext
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/rrelu_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/distribution_helper.h"
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#include "paddle/phi/kernels/funcs/for_range.h"
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namespace phi {
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template <typename T>
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struct RReluTrainCudaFunctor {
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public:
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RReluTrainCudaFunctor(const T* in, T* out, T* noise)
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: in_(in), out_(out), noise_(noise) {
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zero_ = static_cast<T>(0);
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}
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__device__ void operator()(int64_t idx) {
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T x = in_[idx];
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if (x < zero_) {
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out_[idx] = noise_[idx] * x;
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} else {
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out_[idx] = x;
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noise_[idx] = 1.0;
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}
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}
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private:
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const T* in_;
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T* out_;
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T* noise_;
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T zero_;
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};
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template <typename T>
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struct RReluTestCudaFunctor {
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public:
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RReluTestCudaFunctor(const T* in, T* out, T* noise, T mid_val)
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: in_(in), out_(out), noise_(noise), mid_val_(mid_val) {
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zero_ = static_cast<T>(0);
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}
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__device__ void operator()(int64_t idx) {
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T x = in_[idx];
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if (x < zero_) {
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out_[idx] = mid_val_ * x;
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noise_[idx] = mid_val_;
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} else {
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out_[idx] = x;
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noise_[idx] = 1.0;
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}
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}
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private:
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const T* in_;
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T* out_;
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T* noise_;
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T zero_;
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T mid_val_;
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};
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template <typename T, typename Context>
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void RReluKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const float lower,
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const float upper,
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bool is_test,
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DenseTensor* out,
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DenseTensor* noise) {
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const T* x_data = x.data<T>();
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T* out_data = dev_ctx.template Alloc<T>(out);
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T* noise_data = dev_ctx.template Alloc<T>(noise);
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auto size = x.numel();
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if (size <= 0) return;
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funcs::ForRange<Context> for_range(dev_ctx, size);
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if (is_test) {
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T mid_val = static_cast<T>((lower + upper) / 2.0);
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RReluTestCudaFunctor<T> functor(x_data, out_data, noise_data, mid_val);
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for_range(functor);
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} else {
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using MT = typename MPTypeTrait<T>::Type;
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funcs::uniform_distribution<MT> dist;
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funcs::uniform_real_transform<MT> trans(lower, upper);
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funcs::distribution_and_transform<T>(dev_ctx, noise, dist, trans);
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RReluTrainCudaFunctor<T> functor(x_data, out_data, noise_data);
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for_range(functor);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(rrelu,
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GPU,
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ALL_LAYOUT,
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phi::RReluKernel,
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float,
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phi::float16,
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phi::bfloat16,
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double) {}
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