wehub-resource-sync
40 lines
1.4 KiB
C++
40 lines
1.4 KiB
C++
// Copyright (c) 2022 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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namespace phi {
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template <typename T, typename Context>
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void ErfinvGradKernel(const Context& dev_ctx,
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const DenseTensor& out,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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if (x_grad && x_grad->numel() == 0) {
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return;
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}
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auto eigen_out = EigenVector<T>::Flatten(out);
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auto eigen_dout = EigenVector<T>::Flatten(out_grad);
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auto eigen_dx = EigenVector<T>::Flatten(*x_grad);
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auto& place = *dev_ctx.eigen_device();
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T half_sqrt_pi = static_cast<T>(1 / M_2_SQRTPI);
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eigen_dx.device(place) = half_sqrt_pi * eigen_dout * eigen_out.square().exp();
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}
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} // namespace phi
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