#pragma once

#include <torch/torch.h>

void paged_attention_v1(
    torch::Tensor& out, torch::Tensor& query, torch::Tensor& key_cache,
    torch::Tensor& value_cache, int64_t num_kv_heads, double scale,
    torch::Tensor& block_tables, torch::Tensor& seq_lens, int64_t block_size,
    int64_t max_seq_len, const std::optional<torch::Tensor>& alibi_slopes,
    const std::string& kv_cache_dtype, torch::Tensor& k_scale,
    torch::Tensor& v_scale, const int64_t tp_rank,
    const int64_t blocksparse_local_blocks,
    const int64_t blocksparse_vert_stride, const int64_t blocksparse_block_size,
    const int64_t blocksparse_head_sliding_step);

void paged_attention_v2(
    torch::Tensor& out, torch::Tensor& exp_sums, torch::Tensor& max_logits,
    torch::Tensor& tmp_out, torch::Tensor& query, torch::Tensor& key_cache,
    torch::Tensor& value_cache, int64_t num_kv_heads, double scale,
    torch::Tensor& block_tables, torch::Tensor& seq_lens, int64_t block_size,
    int64_t max_seq_len, const std::optional<torch::Tensor>& alibi_slopes,
    const std::string& kv_cache_dtype, torch::Tensor& k_scale,
    torch::Tensor& v_scale, const int64_t tp_rank,
    const int64_t blocksparse_local_blocks,
    const int64_t blocksparse_vert_stride, const int64_t blocksparse_block_size,
    const int64_t blocksparse_head_sliding_step);

void swap_blocks(torch::Tensor& src, torch::Tensor& dst,
                 const torch::Tensor& block_mapping);

// Note: the key_caches and value_caches vectors are constant but
// not the Tensors they contain. The vectors need to be const refs
// in order to satisfy pytorch's C++ operator registration code.
void copy_blocks(std::vector<torch::Tensor> const& key_caches,
                 std::vector<torch::Tensor> const& value_caches,
                 const torch::Tensor& block_mapping);

void reshape_and_cache(torch::Tensor& key, torch::Tensor& value,
                       torch::Tensor& key_cache, torch::Tensor& value_cache,
                       torch::Tensor& slot_mapping,
                       const std::string& kv_cache_dtype,
                       torch::Tensor& k_scale, torch::Tensor& v_scale);

void reshape_and_cache_flash(torch::Tensor& key, torch::Tensor& value,
                             torch::Tensor& key_cache,
                             torch::Tensor& value_cache,
                             torch::Tensor& slot_mapping,
                             const std::string& kv_cache_dtype,
                             torch::Tensor& k_scale, torch::Tensor& v_scale);

int64_t get_device_attribute(int64_t attribute, int64_t device_id);

int64_t get_max_shared_memory_per_block_device_attribute(int64_t device_id);

void convert_fp8(torch::Tensor& dst_cache, torch::Tensor& src_cache,
                 const double scale, const std::string& kv_cache_dtype);