// Copyright (c) 2023 Huawei Technologies Co., Ltd
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"
#include "op_plugin/utils/custom_functions/aclops/inner_compute.h"

#include <ATen/native/LinearAlgebraUtils.h>

namespace acl_op {
std::tuple<at::Tensor &, at::Tensor &> triangular_solve_out(const at::Tensor &self, const at::Tensor &A, bool upper,
                                                            bool transpose, bool unitriangular, at::Tensor &X,
                                                            at::Tensor &M)
{
    at::Tensor result_tmp;
    at::Tensor clone_a_tmp;
    std::tie(result_tmp, clone_a_tmp) = triangular_solve_out_common_nocheck(self, A, upper, transpose, unitriangular);
    X.resize_as_(result_tmp).copy_(result_tmp);
    M.resize_as_(clone_a_tmp).copy_(clone_a_tmp);
    return std::tie(X, M);
}
} // namespace acl_op