batch_decode_customize_config.jinja

#pragma once
#include <flashinfer/page.cuh>
#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 = {{ idtype }};
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 = IdType;

  DTypeQ* q;
  paged_kv_t<DTypeKV, IdType> paged_kv;
  DTypeO* o;
  float* lse;

  {{ additional_params_decl }}

  uint32_t padded_batch_size;
  uint32_t num_qo_heads;
  IdType q_stride_n;
  IdType q_stride_h;
  int32_t window_left;

  IdType* request_indices;
  IdType* kv_tile_indices;
  IdType* o_indptr;
  IdType* kv_chunk_size_ptr;
  bool* block_valid_mask;
  bool partition_kv;

  __host__ __device__ __forceinline__ int32_t get_qo_len(int32_t batch_idx) const { return 1; }

  __host__ __device__ __forceinline__ int32_t get_kv_len(int32_t batch_idx) const {
    return paged_kv.get_length(batch_idx);
  }
};

{{ variant_decl }}