parameters: (cls,
                             onnx_node,
                             operator,
                             opset_version=_opset_version)
return_statement: return operator(factor)
docstring: get the clip operator from onnx node
          Args:
              onnx_node (OnnxNode): a given onnx node
              operator (Operator Class): a singa operator class
              opset_version (int): the opset version
          Returns: 
              singa operator instance
docstring_summary: get the clip operator from onnx node
          Args:
              onnx_node (OnnxNode): a given onnx node
              operator (Operator Class): a singa operator class
              opset_version (int): the opset version
          Returns: 
              singa operator instance
docstring_tokens: get the clip operator from onnx node Args : onnx_node ( OnnxNode ) : a given onnx node operator ( Operator Class ) : a singa operator class opset_version ( int ) : the opset version Returns : singa operator instance
function: def _create_batch_norm(cls,
                             onnx_node,
                             operator,
                             opset_version=_opset_version):
          """
          get the clip operator from onnx node
          Args:
              onnx_node (OnnxNode): a given onnx node
              operator (Operator Class): a singa operator class
              opset_version (int): the opset version
          Returns: 
              singa operator instance
          """
          factor = onnx_node.getattr('momentum', 0.9)
          onnx_node.set_weight_inputs(onnx_node.inputs[1], 'scale')
          onnx_node.set_weight_inputs(onnx_node.inputs[2], 'bias')
          onnx_node.set_weight_inputs(onnx_node.inputs[3], 'running_mean')
          onnx_node.set_weight_inputs(onnx_node.inputs[4], 'running_var')
          return operator(factor)
function_tokens: def _create_batch_norm ( cls , onnx_node , operator , opset_version = _opset_version ) : factor = onnx_node . getattr ( 'momentum' , 0.9 ) onnx_node . set_weight_inputs ( onnx_node . inputs [ 1 ] , 'scale' ) onnx_node . set_weight_inputs ( onnx_node . inputs [ 2 ] , 'bias' ) onnx_node . set_weight_inputs ( onnx_node . inputs [ 3 ] , 'running_mean' ) onnx_node . set_weight_inputs ( onnx_node . inputs [ 4 ] , 'running_var' ) return operator ( factor )