* Copyright (c) Huawei Technologies Co., Ltd. 2025-2025. All rights reserved.
* MindIE is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
* http://license.coscl.org.cn/MulanPSL2
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
*/
#ifndef SPARSE_BLOCK_ESTIMATE_MINDIE_SD_IMPL_H
#define SPARSE_BLOCK_ESTIMATE_MINDIE_SD_IMPL_H
#include <ATen/Tensor.h>
#include <c10/util/Optional.h>
#include <string>
#include <tuple>
std::tuple<at::Tensor, at::Tensor> sparse_block_estimate_mindie_sd_impl_npu(
const at::Tensor &query, const at::Tensor &key,
c10::OptionalIntArrayRef actual_seq_lengths,
c10::OptionalIntArrayRef actual_seq_lengths_kv,
std::string input_layout, int64_t stride, int64_t sparse_size, int64_t num_heads,
int64_t num_key_value_heads, double scale_value, double threshold,
bool causal, bool keep_sink, bool keep_recent, double row_sparse);
#endif
