refactor: harden param PODs and CUTLASS-style fp8 layout tags

- NSDMI null/-1 defaults for AttentionParams/FP8Params pointer+flag members: partially packed structs can no longer hold garbage non-null pointers that gate optional paths (root cause class of the paged test bug); still aggregates, still trivially copyable
- move per-lane ldmatrix wrappers (ldsm_x2/x4) from fp8/gemm.cuh to common/mma.cuh as ldmatrix_x2_lane/x4_lane, next to the single-address variants
- DEVICE_FORCEINLINE macro in common/mma.cuh (matches layout_policies.cuh, internal linkage)
- frag_addr now delegates to tile_at: the swizzle math has one source
- operand layouts as CUTLASS-style RowMajor/ColMajor tags threaded from launch_fp8_gemm through the kernel to load_operand_tile; B's operand view via transpose_layout_t; call sites read <Fmt, false, RowMajor, ColMajor> instead of <Fmt, false, false, true>
This commit is contained in:
2026-08-24 15:27:52 +08:00
parent f6db546578
commit d5067af064
5 changed files with 147 additions and 95 deletions
+25 -17
View File
@@ -24,6 +24,14 @@ constexpr int MAX_SPLITS = 32;
// layout_policies.cuh); a given call only touches the fields of one mode, so
// this is a POD shared by both paths rather than two parallel structs that
// drift out of sync.
//
// Pointer/flag members carry default member initializers: the pointers gate
// optional paths via null checks (new_k_ptr, mask, o_part, ...), so a stack
// `AttentionParams<T> p;` left partially packed must never see garbage
// non-null pointers or a garbage use_mask/causal_offset — that class of bug
// reads through wild addresses. NSDMI keeps the struct an aggregate (C++17)
// and trivially copyable, so `= {}`, memcpy-style packing and by-value kernel
// params all behave exactly as before.
template<typename T, typename AT = float>
struct AttentionParams {
// Shape
@@ -37,17 +45,17 @@ struct AttentionParams {
// Attention behavior
float scale;
// -1 = non-causal; >=0 = absolute position of first Q token
int causal_offset;
int use_mask;
int causal_offset = -1;
int use_mask = 0;
// pointers
const T* __restrict__ q_ptr;
const T* __restrict__ k_ptr;
const T* __restrict__ v_ptr;
const T* __restrict__ new_k_ptr;
const T* __restrict__ new_v_ptr;
T* __restrict__ o_ptr;
const bool* __restrict__ mask;
const T* __restrict__ q_ptr = nullptr;
const T* __restrict__ k_ptr = nullptr;
const T* __restrict__ v_ptr = nullptr;
const T* __restrict__ new_k_ptr = nullptr;
const T* __restrict__ new_v_ptr = nullptr;
T* __restrict__ o_ptr = nullptr;
const bool* __restrict__ mask = nullptr;
// strides
int q_b_stride;
@@ -68,19 +76,19 @@ struct AttentionParams {
int mask_l_stride;
// Paged K/V addressing
const int* __restrict__ req_to_token; // [num_reqs, max_context_len]
const int* __restrict__ req_pool_indices; // [batch]
const int* __restrict__ kv_indptr; // [batch + 1]
const int* __restrict__ qo_indptr; // [batch + 1] or nullptr for decode
const int* __restrict__ q_tile_to_batch; // [num_q_tiles], prefill only
const int* __restrict__ q_tile_to_index; // [num_q_tiles], prefill only
const int* __restrict__ req_to_token = nullptr; // [num_reqs, max_context_len]
const int* __restrict__ req_pool_indices = nullptr; // [batch]
const int* __restrict__ kv_indptr = nullptr; // [batch + 1]
const int* __restrict__ qo_indptr = nullptr; // [batch + 1] or nullptr for decode
const int* __restrict__ q_tile_to_batch = nullptr; // [num_q_tiles], prefill only
const int* __restrict__ q_tile_to_index = nullptr; // [num_q_tiles], prefill only
int num_q_tiles;
int max_context_len; // req_to_token stride (dim 1)
// Decode split-KV workspace
int num_splits;
AT* __restrict__ o_part;
AT* __restrict__ ml_part;
AT* __restrict__ o_part = nullptr;
AT* __restrict__ ml_part = nullptr;
};
} // namespace attention