#pragma once
#include <flashinfer/math.cuh>
#include <flashinfer/layout.cuh>
#include <flashinfer/pos_enc.cuh>
#include <flashinfer/attention/variant_helper.cuh>

#define ADDITIONAL_FUNC_PARAMS {{ additional_func_params }}
#define ADDITIONAL_PARAMS_SETTER {{ additional_params_setter }}

#define DISPATCH_context(DTypeQ, DTypeKV, DTypeO, IdType, HEAD_DIM_QK, HEAD_DIM_VO, POS_ENCODING_MODE, USE_SLIDING_WINDOW, USE_LOGITS_SOFT_CAP, AttentionVariant, Params, ...) {\
  using AttentionVariant = {{ variant_name }}; \
  __VA_ARGS__(); \
}

using namespace flashinfer;

using DTypeQ = {{ dtype_q }};
using DTypeKV = {{ dtype_kv }};
using DTypeO = {{ dtype_o }};
using IdType = int32_t;
constexpr int HEAD_DIM_QK = {{ head_dim_qk }};
constexpr int HEAD_DIM_VO = {{ head_dim_vo }};
constexpr auto USE_LOGITS_SOFT_CAP = {{ use_logits_soft_cap }};
constexpr auto POS_ENCODING_MODE = {{ pos_encoding_mode }};
constexpr auto USE_SLIDING_WINDOW = {{ use_sliding_window }};

struct Params {
  using DTypeQ = DTypeQ;
  using DTypeKV = DTypeKV;
  using DTypeO = DTypeO;
  using IdType = int32_t;
  DTypeQ* q;
  DTypeKV* k;
  DTypeKV* v;
  DTypeO* o;
  float* lse;
  {{ additional_params_decl }}
  uint32_t kv_len;
  uint32_t num_qo_heads;
  uint32_t num_kv_heads;
  uint32_t q_stride_n;
  uint32_t q_stride_h;
  uint32_t kv_stride_n;
  uint32_t kv_stride_h;
  int32_t window_left;
  uint32_t kv_chunk_size;

  __host__ __device__ __forceinline__ uint32_t get_qo_len(uint32_t batch_idx) const { return 1; }

  __host__ __device__ __forceinline__ uint32_t get_kv_len(uint32_t batch_idx) const {
    return kv_len;
  }
};

{{ variant_decl }}