code: def _FilterStr(v):
      if isinstance(v, (list, tuple)):
          return _FirstNotNone([_FilterStr(x) for x in v])
      if isinstance(v, compat.bytes_or_text_types):
          return None
      else:
          return _NotNone(v)
  
imports: import numpy
  from tensorboard.compat.proto import tensor_pb2
  from tensorboard.compat.tensorflow_stub import dtypes, compat, tensor_shape
label_desc: Use image node_id 26 for calling a global function with example usage: _FilterStr(v) and returns: _FirstNotNone, None, _NotNone