sgemm_tcore: Fix fp16 addr gen in vx_wmma_load

This commit is contained in:
Hansung Kim
2024-08-13 14:34:03 -07:00
parent e69fbea83a
commit 409424b032
2 changed files with 27 additions and 17 deletions

View File

@@ -37,6 +37,9 @@
#error "threadblock size too big for cluster"
#endif
// using float_type = float;
using float_type = float16_t;
template <typename T>
inline void global_dmem_load(const uint32_t dim_n, const uint32_t dim_k,
const uint32_t k, const T *A, const T *B,
@@ -391,7 +394,7 @@ inline void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
}
#pragma GCC unroll 1
for (uint32_t block_k = 0; (block_k * BK) < (dim_k); block_k++) {
for (uint32_t block_k = 0; (block_k * BK) < dim_k; block_k++) {
// producer code: GMEM->SMEM memory movement
// ---------------------------------------------------------------------
@@ -572,8 +575,6 @@ void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
const uint32_t problem_size = (dim_m * dim_n) / (ELEM_PER_THREAD);
const uint32_t num_threadblocks = problem_size / threads_per_threadblock;
using float_type = float16_t;
// "static" shared memory allocation. This would determine threadblock
// occupancy of a single cluster
uint8_t *sharedmem_per_threadblock = reinterpret_cast<uint8_t *>(

View File

@@ -25,7 +25,7 @@
#define WN 8
#define TCM 8
#define TCN 8
#define TCK 8
#define TCK 16
#define WMITER (WM / TCM)
#define WNITER (WN / TCN)
#define ELEM_PER_THREAD (WMITER * WNITER * (TCM * TCN) / NUM_THREADS)
@@ -40,9 +40,9 @@
//
// For correctness, only one of either should be 1. E.g., PRODUCE 1 CONSUME 0
// generates the NN kernel where both A and B are stored row-major in GMEM.
// To model the case where the A matrix is already stored transposed in GMEM
// ("TN" kernel), set both to 0.
#define TRANSPOSE_AT_PRODUCE 1
// To model the case where the A matrix is already stored column-major in GMEM,
// set both to 0.
#define TRANSPOSE_AT_PRODUCE 0
#define TRANSPOSE_AT_CONSUME 0
// GMEM_COALESCED: When TRANSPOSE_AT_PRODUCE == 1 (i.e. transpose at
// GMEM->SMEM), determines whether we do bank-conflict-free accesses for
@@ -156,7 +156,8 @@ inline void vx_wmma(const int dest_reg) {
// `local_k` is assumed to be multiple of TCK
template <typename T>
inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
const int warp_row, const int wm_iter, const int thread_in_warp) {
const int warp_row, const int wm_iter,
const int thread_in_warp) {
const int tid = thread_in_warp;
const int tg = tid / 4;
@@ -171,13 +172,17 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
// neighboring columns; therefore, it essentially becomes equivalent to
// moving a fp32 matrix whose column dimensions (dim_k/BK/k) are compressed
// by a factor of two.
constexpr uint32_t packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
constexpr uint32_t BK_adjusted = BK / packed_factor;
constexpr int packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
constexpr int BK_adjusted = BK / packed_factor;
constexpr int BM_adjusted = BM / packed_factor;
const int local_k_adjusted = local_k / packed_factor;
constexpr int smem_A_rows = BM;
constexpr int smem_A_cols = BK_adjusted;
constexpr int smem_AS_rows = BK_adjusted;
constexpr int smem_AS_cols = BM;
// constexpr int smem_AS_rows = BK;
// constexpr int smem_AS_cols = BM_adjusted;
if constexpr (TRANSPOSE_AT_CONSUME) {
// int A_offset = (WM * warp_row + TCM * wm_iter + row) * smem_A_cols;
@@ -188,7 +193,7 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
smem_addr = reinterpret_cast<const volatile uint8_t *>(
&reinterpret_cast<const volatile float *>(
smem_A)[(WM * warp_row + TCM * wm_iter + row) * smem_A_cols +
local_k]);
local_k /* FIXME: adjust for fp16? */]);
// step to the next column
// threads read from different rows; bank conflicts
asm volatile("flw f0, %0(%1)" ::"i"(0 * sizeof(float)), "r"(smem_addr));
@@ -206,7 +211,7 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
const volatile uint8_t *smem_addr;
smem_addr = reinterpret_cast<const volatile uint8_t *>(
&reinterpret_cast<const volatile float *>(
smem_A)[((local_k + 0) * smem_AS_cols) +
smem_A)[((local_k_adjusted + 0) * smem_AS_cols) +
(WM * warp_row + TCM * wm_iter) + row]);
// step to the next row
// threads read from different columns; no bank conflicts
@@ -234,17 +239,21 @@ inline void vx_wmma_load_b(const volatile T *smem_B, const int local_k,
map_operand(tid, row, col);
// see comment in vx_wmma_load_a
constexpr uint32_t packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
constexpr uint32_t BN_adjusted = BN / packed_factor;
constexpr int packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
constexpr int BK_adjusted = BN / packed_factor;
constexpr int BN_adjusted = BN / packed_factor;
const int local_k_adjusted = local_k / packed_factor;
constexpr int smem_B_rows = BK;
constexpr int smem_B_cols = BN_adjusted;
// constexpr int smem_B_rows = BK;
// constexpr int smem_B_cols = BN_adjusted;
constexpr int smem_B_rows = BK_adjusted;
constexpr int smem_B_cols = BN;
// f8-f15 stores a single column of B
const volatile uint8_t *smem_addr;
smem_addr = reinterpret_cast<const volatile uint8_t *>(
&reinterpret_cast<const volatile float *>(
smem_B)[((local_k + 0) * smem_B_cols) +
smem_B)[((local_k_adjusted + 0) * smem_B_cols) +
(WN * warp_col + TCN * wn_iter) + col]);
// step to the next row
// threads read from different columns; no bank conflicts