[hotfix] fix flash attn window_size err (#6132)

* [fix] fix flash attn

* [hotfix] fix flash-atten version

* [fix] fix flash_atten version

* [fix] fix flash-atten versions

* [fix] fix flash-attn not enough values to unpack error

* [fix] fix test_ring_attn

* [fix] fix test ring attn

colossalai/shardformer/layer/attn.py

@@ -6,6 +6,7 @@ import torch.distributed
 import torch.distributed as dist
 import torch.nn.functional as F
 from einops import rearrange
+from packaging import version
 
 from colossalai.kernel.kernel_loader import (
     FlashAttentionDaoLoader,
@@ -642,9 +643,7 @@ class RingAttention(torch.autograd.Function):
         max_seqlen_q = max_seqlen_kv = max_seqlen
         cu_seqlens_half = cu_seqlens // 2
         max_seqlen_half = max_seqlen // 2
-
         misc_kwargs = {
-            "window_size": (-1, -1),
             "alibi_slopes": None,
             "softmax_scale": q.shape[-1] ** -0.5 if softmax_scale is None else softmax_scale,
             "dropout_p": dropout_p,
@@ -652,6 +651,13 @@ class RingAttention(torch.autograd.Function):
             "softcap": 0.0,
             "return_softmax": False,
         }
+        import flash_attn
+
+        if version.parse(flash_attn.__version__) > version.parse("2.6.3"):
+            misc_kwargs["window_size_left"] = -1
+            misc_kwargs["window_size_right"] = -1
+        else:
+            misc_kwargs["window_size"] = (-1, -1)
 
         if (
             RingAttention.HALF_INDICES is not None
@@ -707,6 +713,19 @@ class RingAttention(torch.autograd.Function):
 
         # Helper to pass args to FA
         def _forward(q, k, v, causal):
+            if version.parse(flash_attn.__version__) > version.parse("2.6.3"):
+                (out, softmax_lse, S_dmask, rng_state) = _flash_attn_forward(
+                    q,
+                    k,
+                    v,
+                    cu_seqlens_q if q.shape[0] == t else cu_seqlens_half,
+                    cu_seqlens_kv if k.shape[0] == t else cu_seqlens_half,
+                    max_seqlen_q if q.shape[0] == t else max_seqlen_half,
+                    max_seqlen_kv if k.shape[0] == t else max_seqlen_half,
+                    causal=causal,
+                    **misc_kwargs,
+                )
+            else:
                 (
                     _,
                     _,