code: def decode_exr_info(contents, name=None):
      """
      Decode a EXR-encoded image meta data.
  
      Args:
        contents: A `Tensor` of type `string`. 0-D.  The EXR-encoded image.
        name: A name for the operation (optional).
  
      Returns:
        A `Tensor` of type `uint8` and shape of `[height, width, 4]` (RGBA).
      """
      shape, dtype, channel = core_ops.io_decode_exr_info(
          contents, name=name
      )
      return shape, dtype, channel
  
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 5 for calling a global function with example usage: decode_exr_info(contents, name) and returns: shape,  dtype,  channel