wehub-resource-sync
46 lines
1.5 KiB
C++
46 lines
1.5 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. */
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/phi/kernels/eigvalsh_kernel.h"
|
|
|
|
#include "paddle/phi/kernels/funcs/values_vectors_functor.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void EigvalshKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const std::string& uplo,
|
|
bool is_test,
|
|
DenseTensor* out_w,
|
|
DenseTensor* out_v) {
|
|
if (x.numel() == 0) {
|
|
auto x_dim = x.dims();
|
|
auto w_dim = slice_ddim(x_dim, 0, x_dim.size() - 1);
|
|
out_w->Resize(w_dim);
|
|
out_v->Resize(x_dim);
|
|
dev_ctx.template Alloc<T>(out_w);
|
|
dev_ctx.template Alloc<T>(out_v);
|
|
return;
|
|
}
|
|
bool is_lower = (uplo == "L");
|
|
funcs::MatrixEighFunctor<Context, T> functor;
|
|
if (is_test) {
|
|
functor(dev_ctx, x, out_w, nullptr, is_lower, false);
|
|
} else {
|
|
functor(dev_ctx, x, out_w, out_v, is_lower, true);
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|