[BugFix] Refactor attention kernel to handle OOB positions by filling with -inf instead of clearing accumulators.

examples/flash_attention/example_gqa_bwd.py

@@ -54,7 +54,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      -T.infinity(acc_s.dtype))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, k * block_N:(k + 1) * block_N, by // groups, :], V_shared)
                 T.copy(scores_max, scores_max_prev)

examples/flash_attention/example_gqa_bwd_tma_reduce.py

@@ -59,7 +59,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      T.Cast(accum_dtype, -1e30))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, k * block_N:(k + 1) * block_N, by // groups, :], V_shared)
                 T.copy(scores_max, scores_max_prev)

examples/flash_attention/example_gqa_bwd_wgmma_pipelined.py

@@ -54,7 +54,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      -T.infinity(acc_s.dtype))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, k * block_N:(k + 1) * block_N, by // groups, :], V_shared)
                 T.copy(scores_max, scores_max_prev)

examples/flash_attention/example_gqa_fwd_bshd.py

@@ -96,7 +96,9 @@ def MMA0(
                 acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                              -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len, -T.infinity(acc_s.dtype),
+                                             0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro

examples/flash_attention/example_gqa_fwd_bshd_wgmma_pipelined.py

@@ -63,7 +63,9 @@ def MMA0(
                 acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                              -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len, -T.infinity(acc_s.dtype),
+                                             0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro

examples/flash_attention/example_mha_bwd_bhsd.py

@@ -56,7 +56,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      -T.infinity(acc_s.dtype))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, by, k * block_N:(k + 1) * block_N, :], V_shared)
                 T.copy(scores_max, scores_max_prev)
@@ -213,6 +215,8 @@ def flash_bwd(
                     for i, j in T.Parallel(block_M, block_N):
                         qkT[i, j] = T.if_then_else(by * block_M + i <= k * block_N + j, qkT[i, j],
                                                    0)
+                # We don't need to handle OOB positions for non-causal cases,
+                # since OOB values won't affect other positions here.
                 T.copy(dO[bz, bx, k * block_N:(k + 1) * block_N, :], do)
                 T.clear(dsT)
                 T.gemm(V_shared, do, dsT, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)

examples/flash_attention/example_mha_bwd.py → examples/flash_attention/example_mha_bwd_bshd.py

@@ -52,7 +52,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      -T.infinity(acc_s.dtype))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, k * block_N:(k + 1) * block_N, by, :], V_shared)
                 T.copy(scores_max, scores_max_prev)
@@ -206,6 +208,8 @@ def flash_bwd(
                     for i, j in T.Parallel(block_M, block_N):
                         qkT[i, j] = T.if_then_else(by * block_M + i <= k * block_N + j, qkT[i, j],
                                                    0)
+                # We don't need to handle OOB positions for non-causal cases,
+                # since OOB values won't affect other positions here.
                 T.copy(dO[bz, k * block_N:(k + 1) * block_N, bx, :], do)
                 T.clear(dsT)
                 T.gemm(V_shared, do, dsT, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
@@ -340,7 +344,7 @@ def run1():
     parser = argparse.ArgumentParser()
     parser.add_argument('--batch', type=int, default=8, help='Batch size')
     parser.add_argument('--h', type=int, default=32, help='Number of heads')
-    parser.add_argument('--n_ctx', type=int, default=1024, help='Context size')
+    parser.add_argument('--n_ctx', type=int, default=1048, help='Context size')
     parser.add_argument('--d_head', type=int, default=64, help='Head dimension')
     parser.add_argument('--causal', type=bool, default=False, help='Causal flag')
     args = parser.parse_args()

examples/flash_attention/example_mha_bwd_wgmma_pipelined.py → examples/flash_attention/example_mha_bwd_bshd_wgmma_pipelined.py

@@ -53,7 +53,9 @@ def flash_fwd(
                         acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                                      -T.infinity(acc_s.dtype))
                 else:
-                    T.clear(acc_s)
+                    for i, j in T.Parallel(block_M, block_N):
+                        acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len,
+                                                     -T.infinity(acc_s.dtype), 0)
                 T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
                 T.copy(V[bz, k * block_N:(k + 1) * block_N, by, :], V_shared)
                 T.copy(scores_max, scores_max_prev)
@@ -193,6 +195,8 @@ def flash_bwd(
                     for i, j in T.Parallel(block_M, block_N):
                         qkT[i, j] = T.if_then_else(by * block_M + i <= k * block_N + j, qkT[i, j],
                                                    0)
+                # We don't need to handle OOB positions for non-causal cases,
+                # since OOB values won't affect other positions here.
                 T.wait_wgmma(0)
                 T.copy(qkT, qkT_cast)
                 T.gemm(qkT_cast, do, dv, policy=T.GemmWarpPolicy.FullRow, wg_wait=-1)

examples/flash_attention/example_mha_fwd_bhsd.py

@@ -55,7 +55,9 @@ def MMA0(
                 k_idx = k * block_N + j
                 acc_s[i, j] = T.if_then_else(q_idx >= k_idx, 0, -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            # We shall fill -inf for OOB positions
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_kv, -T.infinity(acc_s.dtype), 0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro
@@ -226,7 +228,7 @@ def main(
     parser.add_argument('--seq_q', type=int, default=256, help='query sequence length')
     parser.add_argument('--seq_kv', type=int, default=256, help='key/value sequence length')
     parser.add_argument('--dim', type=int, default=64, help='dim')
-    parser.add_argument('--is_causal', action='store_true', help='causal')
+    parser.add_argument('--is_causal', action='store_true', help='causal', default=False)
     parser.add_argument('--tune', action='store_true', help='tune configs')
     args = parser.parse_args()
     main(args.batch, args.heads, args.seq_q, args.seq_kv, args.dim, args.is_causal, args.tune)

examples/flash_attention/example_mha_fwd_bhsd_wgmma_pipelined.py

@@ -55,7 +55,9 @@ def MMA0(
                 k_idx = k * block_N + j
                 acc_s[i, j] = T.if_then_else(q_idx >= k_idx, 0, -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            # We shall fill -inf for OOB positions
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_kv, -T.infinity(acc_s.dtype), 0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro

examples/flash_attention/example_mha_fwd_bshd.py

@@ -49,7 +49,10 @@ def MMA0(
                 acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                              -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            # We shall fill -inf for OOB positions
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len, -T.infinity(acc_s.dtype),
+                                             0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro

examples/flash_attention/example_mha_fwd_bshd_wgmma_pipelined.py

@@ -49,7 +49,10 @@ def MMA0(
                 acc_s[i, j] = T.if_then_else(bx * block_M + i >= k * block_N + j, 0,
                                              -T.infinity(acc_s.dtype))
         else:
-            T.clear(acc_s)
+            # We shall fill -inf for OOB positions
+            for i, j in T.Parallel(block_M, block_N):
+                acc_s[i, j] = T.if_then_else(k * block_N + j >= seq_len, -T.infinity(acc_s.dtype),
+                                             0)
         T.gemm(Q_shared, K_shared, acc_s, transpose_B=True, policy=T.GemmWarpPolicy.FullRow)
 
     @T.macro

examples/flash_attention/test_example_flash_attention.py

@@ -2,15 +2,15 @@
 
 import example_gqa_bwd
 import example_gqa_bwd_wgmma_pipelined
-import example_mha_bwd
+import example_mha_bwd_bshd
 import example_mha_bwd_bhsd
 import example_mha_fwd_bhsd_wgmma_pipelined
 import example_gqa_fwd_bshd
 import example_mha_fwd_bshd
 import example_gqa_fwd_bshd_wgmma_pipelined
 import example_mha_fwd_bshd_wgmma_pipelined
 import example_mha_fwd_varlen
-import example_mha_bwd_wgmma_pipelined
+import example_mha_bwd_bshd_wgmma_pipelined
 import example_mha_fwd_bhsd
 import example_gqa_bwd_tma_reduce_varlen
 
@@ -33,7 +33,7 @@ def test_example_gqa_bwd_wgmma_pipelined():
 
 @tilelang.testing.requires_cuda
 def test_example_mha_bwd():
-    example_mha_bwd.main(
+    example_mha_bwd_bshd.main(
         BATCH=1,
         H=16,
         N_CTX=512,
@@ -56,7 +56,7 @@ def test_example_mha_bwd_bhsd():
 @tilelang.testing.requires_cuda
 @tilelang.testing.requires_cuda_compute_version_ge(9, 0)
 def test_example_mha_bwd_wgmma_pipelined():
-    example_mha_bwd_wgmma_pipelined.main(BATCH=1, H=32, N_CTX=256, D_HEAD=64, causal=False)
+    example_mha_bwd_bshd_wgmma_pipelined.main(BATCH=1, H=32, N_CTX=256, D_HEAD=64, causal=False)
 
 
 @tilelang.testing.requires_cuda