def add_args(parser: argparse.ArgumentParser):
parser.add_argument('--miner.learning_rate',
default=0.01,
type=float,
help='Training initial learning rate.')
parser.add_argument('--miner.momentum',
default=0.9,
type=float,
help='Training initial momentum for SGD.')
parser.add_argument('--miner.n_epochs',
default=int(sys.maxsize),
type=int,
help='Number of training epochs.')
parser.add_argument(
'--miner.sync_interval',
default=150,
type=int,
help='Batches before we we sync with chain and emit new weights.')
parser.add_argument(
'--miner.root_dir',
default='~/.bittensor/miners/',
type=str,
help='Root path to load and save data associated with each miner')
parser.add_argument(
'--miner.name',
default='ffnn-grunt',
type=str,
help='Trials for this miner go in miner.root / miner.name')
parser.add_argument(
'--miner.trial_uid',
default=str(time.time()).split('.')[0],
type=str,
help='Saved models go in miner.root_dir / miner.name / miner.uid')
parser.add_argument('--miner.record_log',
default=False,
help='Record all logs when running this miner')
parser.add_argument(
'--miner.config_file',
type=str,
help=
'config file to run this neuron, if not using cmd line arguments.')
bittensor.neuron.Neuron.add_args(parser)
FFNNSynapse.add_args(parser)
def add_args(parser: argparse.ArgumentParser):
parser.add_argument('--miner.learning_rate',
default=0.01,
type=float,
help='Training initial learning rate.')
parser.add_argument('--miner.momentum',
default=0.9,
type=float,
help='Training initial momentum for SGD.')
parser.add_argument(
'--miner.clip_gradients',
default=0.8,
type=float,
help=
'Implement gradient clipping to avoid exploding loss on smaller architectures.'
)
parser.add_argument('--miner.n_epochs',
default=int(sys.maxsize),
type=int,
help='Number of training epochs.')
parser.add_argument(
'--miner.epoch_length',
default=int(sys.maxsize),
type=int,
help='Iterations of training per epoch (or dataset EOF)')
parser.add_argument('--miner.batch_size_train',
default=64,
type=int,
help='Training batch size.')
parser.add_argument('--miner.batch_size_test',
default=64,
type=int,
help='Testing batch size.')
parser.add_argument('--miner.log_interval',
default=150,
type=int,
help='Batches until miner prints log statements.')
parser.add_argument(
'--miner.sync_interval',
default=10,
type=int,
help='Batches before we we sync with chain and emit new weights.')
parser.add_argument(
'--miner.root_dir',
default='~/.bittensor/miners/',
type=str,
help='Root path to load and save data associated with each miner')
parser.add_argument(
'--miner.name',
default='mnist',
type=str,
help='Trials for this miner go in miner.root / miner.name')
parser.add_argument(
'--miner.trial_uid',
default=str(time.time()).split('.')[0],
type=str,
help='Saved models go in miner.root_dir / miner.name / miner.uid')
parser.add_argument('--miner.record_log',
default=False,
help='Record all logs when running this miner')
parser.add_argument(
'--miner.config_file',
type=str,
help=
'config file to run this neuron, if not using cmd line arguments.')
bittensor.neuron.Neuron.add_args(parser)
FFNNSynapse.add_args(parser)
