fix typo

Signed-off-by: c8ef <[email protected]>

Author: c8ef

deepspeed/sequence/layer.py

@@ -338,11 +338,11 @@ def __init__(
         if sp_stream is not None:
             self.overlap_handles = {}
             self.sp_overlap_comm = True
-            self.dafult_stream = get_accelerator().default_stream()
+            self.default_stream = get_accelerator().default_stream()
 
     def layer_sync(self, layer):
         if self.sp_overlap_comm and hasattr(layer, 'done_event'):
-            self.dafult_stream.wait_event(layer.done_event)
+            self.default_stream.wait_event(layer.done_event)
 
     def forward(self,
                 query: Tensor,
@@ -374,7 +374,7 @@ def bwd_hook(layer_type):
             def pre_hook_fun(grad):
                 type = 'd' + layer_type
                 self.overlap_handles[type + '_work'].wait()
-                self.sp_stream.wait_stream(self.dafult_stream)
+                self.sp_stream.wait_stream(self.default_stream)
                 all2all_output = self.overlap_handles[type + '_grad']
                 grad = list(grad)
                 grad[0] = self.overlap_handles[type + '_post_all2all_func'](all2all_output)
@@ -389,7 +389,7 @@ def pre_hook_fun(grad):
         key_layer = _SeqAllToAll.apply(self.spg, key, self.scatter_idx, self.gather_idx, batch_dim_idx, None,
                                        self.overlap_handles, 'k')
         if self.sp_overlap_comm:
-            self.dafult_stream.wait_stream(self.sp_stream)
+            self.default_stream.wait_stream(self.sp_stream)
 
         value_layer = _SeqAllToAll.apply(self.spg, value, self.scatter_idx, self.gather_idx, batch_dim_idx, None,
                                          self.overlap_handles, 'v')