code: def decode_obj(contents, name=None):
      """
      Decode a Wavefront (obj) file into a float32 tensor.
  
      Args:
        contents: A 0-dimensional Tensor of type string, i.e the
          content of the Wavefront (.obj) file.
        name: A name for the operation (optional).
  
      Returns:
        A `Tensor` of type `float32` and shape of `[n, 3]` for vertices.
      """
      return core_ops.io_decode_obj(contents, name=name)
  
file_path: io/tensorflow_io/python/experimental/image_ops.py
imports: import tensorflow
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 13 for calling a global function with example usage: decode_obj(contents, name) and returns: core_ops