Fix is_causal fail with compile

src/transformers/integrations/sdpa_attention.py

@@ -42,8 +42,9 @@ def sdpa_attention_forward(
 
     # We dispatch to SDPA's Flash Attention or Efficient kernels via this `is_causal` if statement instead of an inline conditional assignment
     # in SDPA to support both torch.compile's dynamic shapes and full graph options. An inline conditional prevents dynamic shapes from compiling.
+    # Note that it is important to check first for the shape, otherwise compile will fail with `argument 'is_causal' must be bool, not SymBool`
     if is_causal is None:
-        is_causal = causal_mask is None and query.shape[2] > 1
+        is_causal = query.shape[2] > 1 and causal_mask is None
 
     # Shapes (e.g. query.shape[2]) are tensors during jit tracing, resulting in `is_causal` being a tensor.
     # We convert it to a bool for the SDPA kernel that only accepts bools.