// 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"

namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;
using npu_utils = at_npu::native::NpuUtils;

at::Tensor npu_rotated_box_decode(const at::Tensor &self, const at::Tensor &deltas, const at::Tensor &weight)
{
    at::Tensor result = npu_preparation::apply_tensor(self);
    at::Tensor weight_cpu = weight.to(at::Device(at::kCPU), at::kFloat);
    auto weight_ptr = weight_cpu.data_ptr<float>();
    TORCH_CHECK(weight_ptr != nullptr, "weight_ptr is nullptr." + OPS_ERROR(ErrCode::VALUE));
    at::ArrayRef<float> weight_list(weight_ptr, weight_cpu.numel());

    at_npu::native::OpCommand cmd;
    cmd.Name("RotatedBoxDecode").Input(self).Input(deltas).Output(result).Attr("weight", weight_list).Run();
    return result;
}
} // namespace acl_op