wehub-resource-sync
51 lines
1.8 KiB
C++
51 lines
1.8 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/funcs/eigen/eigen_function.h"
|
|
|
|
namespace phi::funcs {
|
|
|
|
template <typename T>
|
|
struct EigenL1Norm<Eigen::DefaultDevice, T> {
|
|
using InType =
|
|
Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
|
|
using OutType = Eigen::TensorMap<
|
|
Eigen::TensorFixedSize<T, Eigen::Sizes<>, Eigen::RowMajor, int64_t>>;
|
|
static void Eval(const Eigen::DefaultDevice& dev,
|
|
OutType out,
|
|
const InType& in) {
|
|
out.device(dev) = in.abs().sum();
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct EigenL1NormGrad<Eigen::DefaultDevice, T> {
|
|
using Array = Eigen::DSizes<int64_t, 1>;
|
|
using InType =
|
|
Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
|
|
using OutType =
|
|
Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, int64_t>>;
|
|
static void Eval(const Eigen::DefaultDevice& dev,
|
|
OutType din,
|
|
const InType& dout,
|
|
const InType& in,
|
|
const Array& bcast) {
|
|
din.device(dev) = dout.broadcast(bcast) * in.sign();
|
|
}
|
|
};
|
|
|
|
template struct EigenL1Norm<Eigen::DefaultDevice, float>;
|
|
template struct EigenL1NormGrad<Eigen::DefaultDevice, float>;
|
|
|
|
} // namespace phi::funcs
|