Add examples for LLama-2 & 3

torch_pruning/dependency.py

@@ -1193,7 +1193,10 @@ def _update_expand_index_mapping(self, node: Node):
                 return
             if out_channels is not None:  # =0 if there is a residual connection to model inputs
                 break
-        assert hasattr(node.grad_fn, '_saved_self_sym_sizes'), "New version of PyTorch is required for expand operation."
+        if not hasattr(node.grad_fn, '_saved_self_sym_sizes'):
+            #warnings.warn("Expand operation detected but the shape information is not available")
+            return 
+
         if len(node.grad_fn._saved_self_sym_sizes) != 5:
             return