code: def normalize_padding(value):
      if isinstance(value, (list, tuple)):
          return value
      padding = value.lower()
      if padding not in {"valid", "same", "causal"}:
          raise ValueError(
              "The `padding` argument must be a list/tuple or one of "
              '"valid", "same" (or "causal", only for `Conv1D). '
              "Received: " + str(padding)
          )
      return padding
  
file_path: tensorflow/tensorflow/python/keras/utils/conv_utils.py
imports: import itertools
  import numpy
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.keras import backend
  from tensorflow.python.ops import array_ops
label_desc: Use image node_id 7 for calling a global function with example usage: normalize_padding(value) and returns: padding, value