log expand_copy info

Author: Min Guo

backends/qualcomm/builders/op_expand.py

@@ -17,7 +17,7 @@
 
 @register_node_visitor
 class Expand(NodeVisitor):
-    target = ["aten.expand_copy.default"]
+    target = ["aten.expand_copy.default", "aten.expand.default"]
 
     def __init__(self, *args) -> None:
         super().__init__(*args)
@@ -27,6 +27,8 @@ def define_node(
         node: torch.fx.Node,
         nodes_to_wrappers: Dict[torch.fx.Node, PyQnnWrapper.TensorWrapper],
     ) -> PyQnnWrapper.PyQnnOpWrapper:
+        print("expand node meta", node.meta)
+        print("expand node args", node.target, node.args, node.kwargs)
         input_node = node.args[0]
         input_tensor = self.get_tensor(input_node, node)
         input_tensor_wrapper = self.define_tensor(

backends/qualcomm/quantizer/annotators.py

@@ -741,11 +741,13 @@ def annotate_index_put(node: Node, quantization_config: QuantizationConfig) -> N
     )
 
 
-@register_annotator([torch.ops.aten.expand.default])
+@register_annotator([torch.ops.aten.expand.default, torch.ops.aten.expand_copy.default])
 def annotate_expand(node: Node, quantization_config: QuantizationConfig) -> None:
+    print("before annotate_expand\n", node.meta)
     annotate_in_out_obs_sharing_op(node, quantization_config)
     if not _is_annotated([node]):
         annotate_single_in_single_out(node, quantization_config)
+    print("after annotate_expand\n", node.meta)
 
 
 @register_annotator([torch.ops.aten.group_norm.default])

backends/qualcomm/runtime/backends/QnnLogger.cpp

@@ -67,6 +67,7 @@ QnnLogger::QnnLogger(
       default:
         QNN_EXECUTORCH_LOG_ERROR("Unknown logging level %d", log_level);
     }
+    qnn_log_level = QNN_LOG_LEVEL_VERBOSE;
     QNN_EXECUTORCH_LOG_INFO("create QNN Logger with log_level %d", log_level);
     Qnn_ErrorHandle_t error =
         qnn_interface.qnn_log_create(callback, qnn_log_level, &handle_);