[feat] add fa3 in sgl-kernel (#4902)

Co-authored-by: Sleepcoo <Sleepcoo@gmail.com>
This commit is contained in:
yinfan98
2025-03-31 03:57:10 +08:00
committed by GitHub
parent 9adf178cc2
commit 37c66ec856
7 changed files with 1300 additions and 0 deletions

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@@ -23,6 +23,8 @@ limitations under the License.
#include <vector>
#include "sgl_kernel_torch_shim.h"
#define _CONCAT(A, B) A##B
#define CONCAT(A, B) _CONCAT(A, B)
@@ -291,3 +293,48 @@ void top_p_sampling_from_probs(
double top_p_val,
bool deterministic,
int64_t cuda_stream);
/*
* From flash-attention
*/
std::vector<at::Tensor> mha_fwd(
at::Tensor& q, // (b, s_q, h, d) or (total_q, h, d) if there is cu_seqlens_q
const at::Tensor& k, // (b_k, s_k, h_k, d) or (total_k, h_k, d) if there is cu_seqlens_k or (num_pages, page_size,
// h_k, d) if there is page_table.
const at::Tensor& v, // (b_k, s_k, h_k, dv) or (total_k, h_k, dv) if there is cu_seqlens_k or (num_pages,
// page_size, h_k, dv) if there is page_table.
std::optional<const at::Tensor>&
k_new_, // (b, s_k_new, h_k, d) or (total_k_new, h_k, d) if there is cu_seqlens_k_new
std::optional<const at::Tensor>&
v_new_, // (b, s_k_new, h_k, dv) or (total_k_new, h_k, dv) if there is cu_seqlens_k_new
std::optional<const at::Tensor>& q_v_, // (b, s_q, h, dv) or (total_q_new, h, dv) if there is cu_seqlens_q
std::optional<at::Tensor>& out_, // (b, s_q, h, dv) or (total_q, h, dv) if there is cu_seqlens_q
std::optional<const at::Tensor>& cu_seqlens_q_, // b+1
std::optional<const at::Tensor>& cu_seqlens_k_, // b+1
std::optional<const at::Tensor>& cu_seqlens_k_new_, // b+1
std::optional<const at::Tensor>&
seqused_q_, // b. If given, only this many elements of each batch element's queries and outputs are used.
std::optional<const at::Tensor>&
seqused_k_, // b. If given, only this many elements of each batch element's keys are used.
std::optional<int> max_seqlen_q_,
// TODO: check if we need max_seqlen_k
std::optional<int> max_seqlen_k_,
std::optional<const at::Tensor>& page_table_, // (b_k, max_num_pages_per_seq)
std::optional<const at::Tensor>& kv_batch_idx_, // b. indices to index into the KV cache
std::optional<const at::Tensor>& leftpad_k_, // b
std::optional<const at::Tensor>& rotary_cos_, // seqlen_ro x (rotary_dim / 2)
std::optional<const at::Tensor>& rotary_sin_, // seqlen_ro x (rotary_dim / 2)
std::optional<const at::Tensor>& seqlens_rotary_, // b
std::optional<at::Tensor>& q_descale_, // (b, h_k), not (b, h)
std::optional<at::Tensor>& k_descale_, // (b, h_k)
std::optional<at::Tensor>& v_descale_, // (b, h_k)
float const softmax_scale,
bool is_causal,
int window_size_left,
int window_size_right,
float const softcap,
bool const is_rotary_interleaved, // if true, rotary combines indices 0 & 1, else indices 0 & rotary_dim / 2
std::optional<at::Tensor>& scheduler_metadata_, // (b + 1)
int num_splits,
std::optional<bool> pack_gqa_,
int const sm_margin);