[kernel] add AscendC op: lightning_indexer and sparse_flash_attention (#4625)

### What this PR does / why we need it?
Provide high-performance AscendC operators lightning_indexer and
sparse_flash_attention to boost the execution performance of the
DeepSeek v3.2 model. Meanwhile, adapt the two AscendC operators to
vllm-ascend framework.

### Does this PR introduce _any_ user-facing change?
No (only underlying operator optimizations, with no user-facing changes)

### How was this patch tested?

- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

Signed-off-by: MingYang119 <songmingyang@huawei.com>

csrc/lightning_indexer/op_kernel/lightning_indexer.cpp

@@ -0,0 +1,58 @@
+/**
+ * This program is free software, you can redistribute it and/or modify it.
+ * Copyright (c) 2025 Huawei Technologies Co., Ltd.
+ * This file is a part of the CANN Open Software.
+ * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").
+ * Please refer to the License for details. You may not use this file except in compliance with the License.
+ * 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 FITNESS FOR A PARTICULAR PURPOSE.
+ * See LICENSE in the root of the software repository for the full text of the License.
+ */
+
+/*!
+ * \file lightning_indexer.cpp
+ * \brief
+ */
+
+#include "kernel_operator.h"
+#include "lib/matmul_intf.h"
+#include "lightning_indexer_template_tiling_key.h"
+#include "lightning_indexer_kernel.h"
+
+using namespace LIKernel;
+
+#define INVOKE_LI_NO_KFC_OP_IMPL(templateClass, ...)                                                                   \
+    do {                                                                                                               \
+        templateClass<LIType<__VA_ARGS__>> op;                                                                         \
+        LI_COPY_TILING_DATA(LITilingData, tiling);                                                                     \
+        op.Init(query, key, weights, actualSeqLengthsQ, actualSeqLengths, blocktable, sparseIndices, user,           \
+                tiling_data, &tPipe);                                                                                  \
+        op.Process();                                                                                                  \
+    } while (0)
+
+#define LI_COPY_TILING_DATA(tilingDataStruct, tiling)                                                                  \
+    GET_TILING_DATA_WITH_STRUCT(tilingDataStruct, tiling_data_in, tiling);                                             \
+    const tilingDataStruct *__restrict tiling_data = &tiling_data_in;
+
+
+template <int DT_Q, int DT_K, int DT_OUT, int PAGE_ATTENTION, int LAYOUT_T, int K_LAYOUT_T>
+__global__ __aicore__ void lightning_indexer(__gm__ uint8_t *query, __gm__ uint8_t *key, __gm__ uint8_t *weights,
+                                             __gm__ uint8_t *actualSeqLengthsQ, __gm__ uint8_t *actualSeqLengths,
+                                             __gm__ uint8_t *blocktable, __gm__ uint8_t *sparseIndices,
+                                             __gm__ uint8_t *workspace, __gm__ uint8_t *tiling)
+{
+#if (__CCE_AICORE__ == 310) || (defined __DAV_310R6__) || (__CCE_AICORE__ == 200)
+
+#else
+    TPipe tPipe;
+    __gm__ uint8_t *user = GetUserWorkspace(workspace);
+    KERNEL_TASK_TYPE_DEFAULT(KERNEL_TYPE_MIX_AIC_1_2);
+
+    if constexpr (DT_Q == LI_TPL_FP16 && DT_K == LI_TPL_FP16 && DT_OUT == LI_TPL_INT32) {
+        INVOKE_LI_NO_KFC_OP_IMPL(LIPreload, half, half, int32_t, PAGE_ATTENTION, 
+                                 LI_LAYOUT(LAYOUT_T), LI_LAYOUT(K_LAYOUT_T));
+    } else {
+        INVOKE_LI_NO_KFC_OP_IMPL(LIPreload, bfloat16_t, bfloat16_t, int32_t, PAGE_ATTENTION, 
+                                 LI_LAYOUT(LAYOUT_T), LI_LAYOUT(K_LAYOUT_T));
+    }
+#endif
+}