sgemm_tcore: Fix fp16 addr gen in vx_wmma_load
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@@ -37,6 +37,9 @@
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#error "threadblock size too big for cluster"
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#endif
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// using float_type = float;
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using float_type = float16_t;
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template <typename T>
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inline void global_dmem_load(const uint32_t dim_n, const uint32_t dim_k,
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const uint32_t k, const T *A, const T *B,
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@@ -391,7 +394,7 @@ inline void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
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}
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#pragma GCC unroll 1
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for (uint32_t block_k = 0; (block_k * BK) < (dim_k); block_k++) {
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for (uint32_t block_k = 0; (block_k * BK) < dim_k; block_k++) {
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// producer code: GMEM->SMEM memory movement
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// ---------------------------------------------------------------------
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@@ -572,8 +575,6 @@ void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
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const uint32_t problem_size = (dim_m * dim_n) / (ELEM_PER_THREAD);
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const uint32_t num_threadblocks = problem_size / threads_per_threadblock;
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using float_type = float16_t;
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// "static" shared memory allocation. This would determine threadblock
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// occupancy of a single cluster
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uint8_t *sharedmem_per_threadblock = reinterpret_cast<uint8_t *>(
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@@ -25,7 +25,7 @@
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#define WN 8
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#define TCM 8
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#define TCN 8
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#define TCK 8
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#define TCK 16
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#define WMITER (WM / TCM)
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#define WNITER (WN / TCN)
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#define ELEM_PER_THREAD (WMITER * WNITER * (TCM * TCN) / NUM_THREADS)
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@@ -40,9 +40,9 @@
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//
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// For correctness, only one of either should be 1. E.g., PRODUCE 1 CONSUME 0
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// generates the NN kernel where both A and B are stored row-major in GMEM.
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// To model the case where the A matrix is already stored transposed in GMEM
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// ("TN" kernel), set both to 0.
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#define TRANSPOSE_AT_PRODUCE 1
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// To model the case where the A matrix is already stored column-major in GMEM,
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// set both to 0.
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#define TRANSPOSE_AT_PRODUCE 0
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#define TRANSPOSE_AT_CONSUME 0
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// GMEM_COALESCED: When TRANSPOSE_AT_PRODUCE == 1 (i.e. transpose at
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// GMEM->SMEM), determines whether we do bank-conflict-free accesses for
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@@ -156,7 +156,8 @@ inline void vx_wmma(const int dest_reg) {
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// `local_k` is assumed to be multiple of TCK
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template <typename T>
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inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
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const int warp_row, const int wm_iter, const int thread_in_warp) {
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const int warp_row, const int wm_iter,
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const int thread_in_warp) {
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const int tid = thread_in_warp;
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const int tg = tid / 4;
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@@ -171,13 +172,17 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
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// neighboring columns; therefore, it essentially becomes equivalent to
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// moving a fp32 matrix whose column dimensions (dim_k/BK/k) are compressed
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// by a factor of two.
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constexpr uint32_t packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
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constexpr uint32_t BK_adjusted = BK / packed_factor;
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constexpr int packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
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constexpr int BK_adjusted = BK / packed_factor;
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constexpr int BM_adjusted = BM / packed_factor;
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const int local_k_adjusted = local_k / packed_factor;
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constexpr int smem_A_rows = BM;
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constexpr int smem_A_cols = BK_adjusted;
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constexpr int smem_AS_rows = BK_adjusted;
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constexpr int smem_AS_cols = BM;
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// constexpr int smem_AS_rows = BK;
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// constexpr int smem_AS_cols = BM_adjusted;
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if constexpr (TRANSPOSE_AT_CONSUME) {
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// int A_offset = (WM * warp_row + TCM * wm_iter + row) * smem_A_cols;
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@@ -188,7 +193,7 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
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smem_addr = reinterpret_cast<const volatile uint8_t *>(
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&reinterpret_cast<const volatile float *>(
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smem_A)[(WM * warp_row + TCM * wm_iter + row) * smem_A_cols +
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local_k]);
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local_k /* FIXME: adjust for fp16? */]);
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// step to the next column
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// threads read from different rows; bank conflicts
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asm volatile("flw f0, %0(%1)" ::"i"(0 * sizeof(float)), "r"(smem_addr));
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@@ -206,7 +211,7 @@ inline void vx_wmma_load_a(volatile const T *smem_A, const int local_k,
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const volatile uint8_t *smem_addr;
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smem_addr = reinterpret_cast<const volatile uint8_t *>(
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&reinterpret_cast<const volatile float *>(
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smem_A)[((local_k + 0) * smem_AS_cols) +
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smem_A)[((local_k_adjusted + 0) * smem_AS_cols) +
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(WM * warp_row + TCM * wm_iter) + row]);
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// step to the next row
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// threads read from different columns; no bank conflicts
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@@ -234,17 +239,21 @@ inline void vx_wmma_load_b(const volatile T *smem_B, const int local_k,
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map_operand(tid, row, col);
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// see comment in vx_wmma_load_a
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constexpr uint32_t packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
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constexpr uint32_t BN_adjusted = BN / packed_factor;
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constexpr int packed_factor = (std::is_same_v<T, float16_t> ? 2 : 1);
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constexpr int BK_adjusted = BN / packed_factor;
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constexpr int BN_adjusted = BN / packed_factor;
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const int local_k_adjusted = local_k / packed_factor;
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constexpr int smem_B_rows = BK;
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constexpr int smem_B_cols = BN_adjusted;
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// constexpr int smem_B_rows = BK;
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// constexpr int smem_B_cols = BN_adjusted;
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constexpr int smem_B_rows = BK_adjusted;
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constexpr int smem_B_cols = BN;
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// f8-f15 stores a single column of B
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const volatile uint8_t *smem_addr;
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smem_addr = reinterpret_cast<const volatile uint8_t *>(
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&reinterpret_cast<const volatile float *>(
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smem_B)[((local_k + 0) * smem_B_cols) +
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smem_B)[((local_k_adjusted + 0) * smem_B_cols) +
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(WN * warp_col + TCN * wn_iter) + col]);
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// step to the next row
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// threads read from different columns; no bank conflicts
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