[coloattention]modify coloattention (#5627)

* modify coloattention

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* fix

* fix

* fix

fxi

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

colossalai/kernel/kernel_loader.py

@@ -113,10 +113,6 @@ class FlashAttentionLoader(KernelLoader):
     ]
 
 
-class FlashAttentionWithPaddingMaskLoader(KernelLoader):
-    REGISTRY = [FlashAttentionNpuExtension, FlashAttentionDaoCudaExtension]
-
-
 class FlashAttentionWithCustomMaskLoader(KernelLoader):
     REGISTRY = [FlashAttentionNpuExtension, FlashAttentionSdpaCudaExtension]
 

colossalai/shardformer/layer/attn.py

@@ -8,7 +8,6 @@ from colossalai.kernel.kernel_loader import (
     FlashAttentionForFloatAndCustomMaskLoader,
     FlashAttentionLoader,
     FlashAttentionWithCustomMaskLoader,
-    FlashAttentionWithPaddingMaskLoader,
     KernelLoader,
 )
 
@@ -65,15 +64,17 @@ class ColoAttention:
             half_dispatch_map = {
                 None: FlashAttentionLoader(),
                 AttnMaskType.CUSTOM: FlashAttentionWithCustomMaskLoader(),
-                AttnMaskType.PADDED: FlashAttentionWithPaddingMaskLoader(),
+                AttnMaskType.PADDED: FlashAttentionLoader(),
                 AttnMaskType.CAUSAL: FlashAttentionLoader(),
-                AttnMaskType.PADDED_CAUSAL: FlashAttentionWithPaddingMaskLoader(),
+                AttnMaskType.PADDED_CAUSAL: FlashAttentionLoader(),
             }
             # fp32
             float_dispatch_map = {
                 None: FlashAttentionForFloatAndCustomMaskLoader(),
                 AttnMaskType.CUSTOM: FlashAttentionForFloatAndCustomMaskLoader(),
+                AttnMaskType.PADDED: FlashAttentionForFloatAndCustomMaskLoader(),
                 AttnMaskType.CAUSAL: FlashAttentionForFloatAndCustomMaskLoader(),
+                AttnMaskType.PADDED_CAUSAL: FlashAttentionForFloatAndCustomMaskLoader(),
             }
             ColoAttention._kernel_dispatch_map = {
                 torch.float16: half_dispatch_map,
@@ -140,16 +141,22 @@ class ColoAttention:
             outputs["attention_mask_type"] = AttnMaskType.CAUSAL
             attention_mask = torch.ones(s_q, s_kv, dtype=dtype, device=device).tril(diagonal=0).expand(b, s_q, s_kv)
         else:
+            assert q_padding_mask.shape == (
+                b,
+                s_q,
+            ), f"q_padding_mask shape {q_padding_mask.shape} should be the same. ({shape_4d})"
+            max_seqlen_q, cu_seqlens_q, q_indices = get_pad_info(q_padding_mask)
             if kv_padding_mask is None:
                 # self attention
                 kv_padding_mask = q_padding_mask
-            assert q_padding_mask.shape == (b, s_q) and kv_padding_mask.shape == (
+                max_seqlen_kv, cu_seqlens_kv, kv_indices = max_seqlen_q, cu_seqlens_q, q_indices
+            else:
+                max_seqlen_kv, cu_seqlens_kv, kv_indices = get_pad_info(kv_padding_mask)
+            assert kv_padding_mask.shape == (
                 b,
                 s_kv,
-            ), f"q_padding_mask shape {q_padding_mask.shape} and kv_padding_mask shape {kv_padding_mask.shape} should be the same. ({shape_4d})"
-            attention_mask = torch.einsum("bi,bj->bij", q_padding_mask, kv_padding_mask).to(dtype=dtype, device=device)
-            max_seqlen_q, cu_seqlens_q, q_indices = get_pad_info(q_padding_mask)
-            max_seqlen_kv, cu_seqlens_kv, kv_indices = get_pad_info(kv_padding_mask)
+            ), f"q_padding_mask shape {kv_padding_mask.shape} should be the same. ({shape_4d})"
+            attention_mask = q_padding_mask[:, None, :].expand(b, s_kv, s_q).to(dtype=dtype, device=device)
             outputs.update(
                 {
                     "cu_seqlens_q": cu_seqlens_q,

tests/test_shardformer/test_flash_attention.py

@@ -4,11 +4,7 @@ from copy import copy
 import torch
 from torch.testing import assert_close
 
-from colossalai.kernel.kernel_loader import (
-    FlashAttentionLoader,
-    FlashAttentionWithCustomMaskLoader,
-    FlashAttentionWithPaddingMaskLoader,
-)
+from colossalai.kernel.kernel_loader import FlashAttentionLoader, FlashAttentionWithCustomMaskLoader
 from colossalai.shardformer.layer import AttnMaskType, ColoAttention
 from colossalai.shardformer.layer.attn import invert_mask
 from colossalai.testing import clear_cache_before_run, parameterize
@@ -119,11 +115,6 @@ def test_flash_attn_func(dtype: torch.dtype):
         if ext.is_available():
             ext.assert_compatible()
             avail_custom_mask_attn_funcs.append((ext.load(), ext.name, True))
-    for ext_cls in FlashAttentionWithPaddingMaskLoader.REGISTRY:
-        ext = ext_cls()
-        if ext.is_available():
-            ext.assert_compatible()
-            avail_padding_mask_attn_funcs.append((ext.load(), ext.name, True))
 
     test_sets = {
         "none": (lambda dtype: ({}, None), avail_attn_funcs),