class_docstr: Numpy functions accelerated to run on GPUs and TPUs. Use like numpy.
class_docstr_tok: ["Numpy","functions","accelerated","to","run","on","GPUs","and","TPUs",".","Use","like","numpy","."]
code: def __getattr__(self, attr):
      return getattr(backend()["np"], attr)
  
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 1 for calling the NumpyBackend obj's underlying member method code with example usage: obj.__getattr__(attr) and returns: getattr