wehub-resource-sync
60 lines
2.1 KiB
Plaintext
60 lines
2.1 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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#ifndef _USE_MATH_DEFINES
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#define _USE_MATH_DEFINES
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#endif
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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#include "paddle/phi/kernels/funcs/eigen/extensions.h"
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namespace phi {
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namespace funcs {
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template <typename T>
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struct EigenErf<Eigen::GpuDevice, T> {
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using InType =
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Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
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using OutType =
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Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, int64_t>>;
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static void Eval(const Eigen::GpuDevice& dev, OutType out, const InType& in) {
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out.device(dev) = in.erf();
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}
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};
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template <typename T>
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struct EigenErfGrad<Eigen::GpuDevice, T> {
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using InType =
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Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
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using OutType =
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Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, int64_t>>;
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static void Eval(const Eigen::GpuDevice& dev,
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OutType din,
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const InType& in,
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const InType& dout) {
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din.device(dev) =
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dout * static_cast<T>(M_2_SQRTPI) * (-(in.square())).exp();
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}
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};
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#define INSTANTIATION(FUNCTOR) \
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template struct FUNCTOR<Eigen::GpuDevice, float>; \
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template struct FUNCTOR<Eigen::GpuDevice, double>; \
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template struct FUNCTOR<Eigen::GpuDevice, dtype::float16>; \
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template struct FUNCTOR<Eigen::GpuDevice, dtype::bfloat16>
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INSTANTIATION(EigenErf);
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INSTANTIATION(EigenErfGrad);
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#undef INSTANTIATION
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} // namespace funcs
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} // namespace phi
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