wehub-resource-sync
70 lines
2.6 KiB
Plaintext
70 lines
2.6 KiB
Plaintext
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/soft_relu_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_device_function.h"
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#include "paddle/phi/common/amp_type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/activation_functor.h"
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#include "paddle/phi/kernels/funcs/elementwise/elementwise_op_impl.cu.h"
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namespace phi {
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template <typename T>
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struct CudaSoftReluGradFunctor {
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using MT = typename MPTypeTrait<T>::Type;
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MT one = static_cast<MT>(1.0f);
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float threshold;
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void SetAttrs(float threshold_) { threshold = threshold_; }
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// dx = (out > -threshold && out < threshold) ? dout * (1 - exp(-out)) : 0
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// threshold should not be negative
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__device__ __forceinline__ T operator()(const T arg_dout, const T arg_out) {
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MT dout = static_cast<MT>(arg_dout);
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MT out = static_cast<MT>(arg_out);
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MT t = static_cast<MT>(threshold);
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return (out > -t && out < t) ? static_cast<T>(dout * (one - exp(-out)))
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: static_cast<T>(0.0f);
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}
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};
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template <typename T, typename Context>
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void SoftReluGradCudaKernel(const Context& dev_ctx,
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const DenseTensor& x_in UNUSED,
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const DenseTensor& out_in,
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const DenseTensor& out_grad,
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float threshold,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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CudaSoftReluGradFunctor<T> functor;
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functor.SetAttrs(threshold);
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std::vector<const DenseTensor*> ins = {&out_grad};
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std::vector<DenseTensor*> outs = {x_grad};
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// Only need forward output Out
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ins.push_back(&out_in);
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funcs::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins, &outs, functor);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(soft_relu_grad,
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GPU,
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ALL_LAYOUT,
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phi::SoftReluGradCudaKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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