// 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"

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

std::tuple<at::Tensor, at::Tensor> grid_sampler_3d_backward(
    const at::Tensor& grad_output,
    const at::Tensor& input,
    const at::Tensor& grid,
    int64_t interpolation_mode,
    int64_t padding_mode,
    bool align_corners,
    std::array<bool, 2> output_mask)
{
    return grid_sampler3d_backward_common_nocheck(grad_output, input, grid, interpolation_mode, padding_mode, align_corners);
}

} // namespace acl_op