wehub-resource-sync
107 lines
4.3 KiB
C++
107 lines
4.3 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, int Rank>
|
|
struct EigenBroadcast<Eigen::DefaultDevice, T, Rank> {
|
|
using Array = Eigen::DSizes<int64_t, Rank>;
|
|
using InType =
|
|
Eigen::TensorMap<Eigen::Tensor<const T, Rank, Eigen::RowMajor, int64_t>>;
|
|
using InType32BitIndex =
|
|
Eigen::TensorMap<Eigen::Tensor<const T, Rank, Eigen::RowMajor, int64_t>,
|
|
Eigen::Aligned>;
|
|
using OutType =
|
|
Eigen::TensorMap<Eigen::Tensor<T, Rank, Eigen::RowMajor, int64_t>>;
|
|
using OutType32BitIndex =
|
|
Eigen::TensorMap<Eigen::Tensor<T, Rank, Eigen::RowMajor, int64_t>,
|
|
Eigen::Aligned>;
|
|
|
|
static void Eval(const Eigen::DefaultDevice& dev,
|
|
OutType out,
|
|
InType in,
|
|
const Array& bcast) {
|
|
// Eigen::TensorMap.broadcast not support 0D
|
|
out.device(dev) = in.broadcast(bcast);
|
|
}
|
|
|
|
static void Eval(const Eigen::DefaultDevice& dev,
|
|
OutType32BitIndex out,
|
|
InType32BitIndex in,
|
|
const Array& bcast) {
|
|
out.device(dev) = in.broadcast(bcast);
|
|
}
|
|
};
|
|
|
|
template <typename T, int Rank>
|
|
struct EigenBroadcastGrad<Eigen::DefaultDevice, T, Rank> {
|
|
using Array = Eigen::DSizes<int64_t, Rank>;
|
|
using Array2 = Eigen::DSizes<int64_t, Rank * 2>;
|
|
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 out,
|
|
InType in,
|
|
const Array& reduce_dims,
|
|
const Array2& reshape_dims) {
|
|
out.device(dev) =
|
|
in.reshape(reshape_dims).sum(reduce_dims).reshape(out.dimensions());
|
|
}
|
|
};
|
|
|
|
#define INSTANTIATION(FUNCTOR, T) \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 1>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 2>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 3>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 4>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 5>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 6>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 7>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 8>; \
|
|
template struct FUNCTOR<Eigen::DefaultDevice, T, 9>
|
|
INSTANTIATION(EigenBroadcast, bool);
|
|
INSTANTIATION(EigenBroadcast, dtype::float16);
|
|
INSTANTIATION(EigenBroadcast, dtype::bfloat16);
|
|
INSTANTIATION(EigenBroadcast, dtype::complex<float>);
|
|
INSTANTIATION(EigenBroadcast, dtype::complex<double>);
|
|
INSTANTIATION(EigenBroadcast, float);
|
|
INSTANTIATION(EigenBroadcast, double);
|
|
INSTANTIATION(EigenBroadcast, int);
|
|
INSTANTIATION(EigenBroadcast, int8_t);
|
|
INSTANTIATION(EigenBroadcast, uint8_t);
|
|
INSTANTIATION(EigenBroadcast, int16_t);
|
|
INSTANTIATION(EigenBroadcast, int64_t);
|
|
INSTANTIATION(EigenBroadcastGrad, bool);
|
|
INSTANTIATION(EigenBroadcastGrad, float);
|
|
INSTANTIATION(EigenBroadcastGrad, dtype::float16);
|
|
INSTANTIATION(EigenBroadcastGrad, dtype::bfloat16);
|
|
INSTANTIATION(EigenBroadcastGrad, dtype::complex<float>);
|
|
INSTANTIATION(EigenBroadcastGrad, dtype::complex<double>);
|
|
INSTANTIATION(EigenBroadcastGrad, double);
|
|
INSTANTIATION(EigenBroadcastGrad, int);
|
|
INSTANTIATION(EigenBroadcastGrad, int8_t);
|
|
INSTANTIATION(EigenBroadcastGrad, uint8_t);
|
|
INSTANTIATION(EigenBroadcastGrad, int16_t);
|
|
INSTANTIATION(EigenBroadcastGrad, int64_t);
|
|
template struct EigenBroadcastGrad<Eigen::DefaultDevice, float, 0>;
|
|
template struct EigenBroadcastGrad<Eigen::DefaultDevice, double, 0>;
|
|
template struct EigenBroadcastGrad<Eigen::DefaultDevice, int, 0>;
|
|
template struct EigenBroadcastGrad<Eigen::DefaultDevice, int64_t, 0>;
|
|
#undef INSTANTIATION
|
|
|
|
} // namespace phi::funcs
|