code: def _alter_qnn_dense_layout(_attrs, inputs, tinfos, out_type):
      data_tensor = tinfos[0]
      weight_tensor = tinfos[1]
  
      if check_vrmpy_applicable(data_tensor, weight_tensor):
          weight_layout = "NC32n4c"
          return relay.qnn.op.contrib_dense_pack(
              *inputs, weight_layout, None, out_type.dtype
          )
      else:
          return None
  
imports: from tvm import relay
  from ..dense_alter_op import check_vrmpy_applicable
  from ...nn import qnn_dense_alter_layout
label_desc: Use image node_id 1 for calling a global function with example usage: _alter_qnn_dense_layout(_attrs, inputs, tinfos, out_type) and returns: relay, None