def gen_backend(backend='cpu', rng_seed=None, datatype=np.float32, batch_size=0, stochastic_round=False, device_id=0, max_devices=get_device_count(), compat_mode=None, deterministic_update=None, deterministic=None):
 logger = logging.getLogger(__name__)
 if (NervanaObject.be is not None):
  cleanup_backend()
 else:
  atexit.register(cleanup_backend)
 if ((deterministic_update is not None) or (deterministic is not None)):
  logger.warning('deterministic_update and deterministic args are deprecated in favor of specifying random seed')
  deterministic = None
 from neon.backends.backend import Backend
 be = Backend.allocate_backend(backend, rng_seed=rng_seed, default_dtype=datatype, stochastic_round=stochastic_round, device_id=device_id, num_devices=max_devices, compat_mode=compat_mode, deterministic=deterministic)
 logger.info('Backend: {}, RNG seed: {}'.format(backend, rng_seed))
 NervanaObject.be = be
 be.bsz = batch_size
 return be

def gen_backend ( backend = 'cpu' , rng_seed = None , datatype = np . float32 , batch_size = 0 , stochastic_round = False , device_id = 0 , max_devices = get_device_count ( ) , compat_mode = None , deterministic_update = None , deterministic = None ) : logger = logging . getLogger ( __name__ ) if ( NervanaObject . be is not None ) : cleanup_backend ( ) else : atexit . register ( cleanup_backend ) if ( ( deterministic_update is not None ) or ( deterministic is not None ) ) : logger . warning ( 'deterministic_update and deterministic args are deprecated in favor of specifying random seed' ) deterministic = None from neon . backends . backend import Backend be = Backend . allocate_backend ( backend , rng_seed = rng_seed , default_dtype = datatype , stochastic_round = stochastic_round , device_id = device_id , num_devices = max_devices , compat_mode = compat_mode , deterministic = deterministic ) logger . info ( 'Backend: {}, RNG seed: {}' . format ( backend , rng_seed ) ) NervanaObject . be = be be . bsz = batch_size return be
construct and return a backend instance of the appropriate type based on the arguments given .