// 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/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
std::tuple<at::Tensor, at::Tensor> aminmax(const at::Tensor &self,
                                           c10::optional<int64_t> dim,
                                           bool keepdim)
{
    at::IntArrayRef dims;
    c10::SmallVector<int64_t, N> dimlist;
    if (dim.has_value()) {
        dims = dim.value();
    } else {
        dimlist = op_plugin::utils::get_dimlist_for_tensor(self);
        dims = dimlist;
    }
    auto output_size = op_infer::reduce_ops_npu_output_size(self, dims, keepdim);
    auto min = at_npu::native::OpPreparation::apply_tensor_without_format(self, output_size);
    auto max = at_npu::native::OpPreparation::apply_tensor_without_format(self, output_size);
    EXEC_NPU_CMD(aclnnAminmax, self, dims, keepdim, min, max);
    return std::tie(min, max);
}

std::tuple<at::Tensor &, at::Tensor &> aminmax_out(const at::Tensor &self,
                                                   c10::optional<int64_t> dim,
                                                   bool keepdim,
                                                   at::Tensor &min,
                                                   at::Tensor &max)
{
    DO_COMPATIBILITY(aclnnAminmax, acl_op::aminmax_out(self, dim, keepdim, min, max));
    at::IntArrayRef dims;
    c10::SmallVector<int64_t, N> dimlist;
    if (dim.has_value()) {
        dims = dim.value();
    } else {
        dimlist = op_plugin::utils::get_dimlist_for_tensor(self);
        dims = dimlist;
    }
    auto output_size = op_infer::reduce_ops_npu_output_size(self, dims, keepdim);
    at_npu::native::OpPreparation::check_tensor({self}, min, self.scalar_type(), output_size);
    at_npu::native::OpPreparation::check_tensor({self}, max, self.scalar_type(), output_size);
    EXEC_NPU_CMD(aclnnAminmax, self, dims, keepdim, min, max);
    return std::tie(min, max);
}
}