code: def pmap(*args, **kwargs):
      """Parallel-map to apply a function on multiple accelerators in parallel."""
      return backend()["pmap"](*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 34 for calling a global function with example usage: pmap() and returns: backend