restarting on failures
@@ -80,7 +80,7 @@ class neuron:
parser.add_argument('--neuron.n_epochs', type=int, help='Number of training epochs.', default=sys.maxsize )
parser.add_argument('--neuron.epoch_length', type=int, help='Iterations of training per epoch', default=100)
parser.add_argument('--neuron.batch_size_train', type=int, help='Training batch size.', default=2)
- parser.add_argument('--neuron.restart_on_failure', action='store_true', help='''Restart neuron on unknown error.''', default=False)
+ parser.add_argument('--neuron.restart_on_failure', action='store_true', help='''Restart neuron on unknown error.''', default=True)
parser.add_argument('--neuron.compute_remote_gradients', action='store_true', help='''Does the neuron compute and return gradients from backward queries.''', default=False)
parser.add_argument('--neuron.accumulate_remote_gradients', action='store_true', help='''Does the neuron accumulate remote gradients from backward queries.''', default=False)
parser.add_argument('--neuron.n_topk_peer_weights', type=int, help='Maximum number of weights to submit to chain', default=100 )
