code: def cond(*args, **kwargs):
      """Conditional computation to run on accelerators."""
      return backend()["cond"](*args, **kwargs)
  
imports: import contextlib
  import enum
  import gin
  from trax.fastmath.jax import JAX_BACKEND
  from trax.fastmath.numpy import NUMPY_BACKEND
  from trax.fastmath.tf import TF_BACKEND
label_desc: Use image node_id 15 for calling a global function with example usage: cond() and returns: backend