code: def _ones_like(
      input, dtype=None, name=None, layout=None
  ):  # pylint: disable=redefined-builtin,unused-argument
      return np.ones_like(
          ops.convert_to_tensor(input), dtype=utils.numpy_dtype(dtype)
      )
  
imports: import functools
  import numpy
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import einsum
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import norm
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import tensordot
label_desc: Use image node_id 9 for calling a global function with example usage: _ones_like(input, dtype, name, layout) and returns: np