message: Correct pylint issues
diff: @@ -239,8 +239,8 @@ def fold_batch_norms(input_graph_def):
  conv_op = node_from_map(input_node_map,
  node.input[INPUT_ORDER[node.op].index("conv_op")])
  if conv_op.op != "Conv2D" and conv_op.op != "DepthwiseConv2dNative":
  - tf_logging.warning(
  - "Didn't find expected Conv2D or DepthwiseConv2dNative input to '%s'" % node.name)
  + tf_logging.warning("Didn't find expected Conv2D or DepthwiseConv2dNative"
  + " input to '%s'" % node.name)
  continue
  weights_op = node_from_map(input_node_map, conv_op.input[1])
  @@ -339,7 +339,8 @@ def fold_batch_norms(input_graph_def):
  elif conv_op.op == "DepthwiseConv2dNative":
  channel_multiplier = weights.shape[3]
  while not it.finished:
  - current_scale = scale_value[it.multi_index[2] * channel_multiplier + it.multi_index[3]]
  + current_scale = scale_value[it.multi_index[2] * channel_multiplier
  + + it.multi_index[3]]
  it[0] *= current_scale
  it.iternext()
  scaled_weights_op = node_def_pb2.NodeDef()
  