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Added resume training args to run_training #11

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Added resume training args to run_training #11

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22 changes: 21 additions & 1 deletion run_training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,19 @@

#----------------------------------------------------------------------------

def run(dataset, data_dir, result_dir, config_id, num_gpus, total_kimg, gamma, mirror_augment, metrics):
def run(dataset,
data_dir,
result_dir,
config_id,
num_gpus,
total_kimg,
gamma,
mirror_augment,
metrics,
resume_pkl,
resume_kimg,
resume_time,
resume_with_new_nets):
train = EasyDict(run_func_name='training.training_loop.training_loop') # Options for training loop.
G = EasyDict(func_name='training.networks_stylegan2.G_main') # Options for generator network.
D = EasyDict(func_name='training.networks_stylegan2.D_stylegan2') # Options for discriminator network.
Expand All @@ -50,6 +62,10 @@ def run(dataset, data_dir, result_dir, config_id, num_gpus, total_kimg, gamma, m
train.total_kimg = total_kimg
train.mirror_augment = mirror_augment
train.image_snapshot_ticks = train.network_snapshot_ticks = 10
train.resume_pkl = resume_pkl
train.resume_kimg = resume_kimg
train.resume_time = resume_time
train.resume_with_new_nets = resume_with_new_nets
sched.G_lrate_base = sched.D_lrate_base = 0.002
sched.minibatch_size_base = 32
sched.minibatch_gpu_base = 4
Expand Down Expand Up @@ -168,6 +184,10 @@ def main():
parser.add_argument('--gamma', help='R1 regularization weight (default is config dependent)', default=None, type=float)
parser.add_argument('--mirror-augment', help='Mirror augment (default: %(default)s)', default=False, metavar='BOOL', type=_str_to_bool)
parser.add_argument('--metrics', help='Comma-separated list of metrics or "none" (default: %(default)s)', default='fid50k', type=_parse_comma_sep)
parser.add_argument('--resume-pkl', help='Network pickle to resume training from', default=None)
parser.add_argument('--resume-kimg', help='Assumed training progress at the beginning. Affects reporting and training schedule.', default=0.0, type=float)
parser.add_argument('--resume-time', help='Assumed wallclock time at the beginning. Affects reporting.', default=0.0, type=float)
parser.add_argument('--resume-with-new-nets', help='Construct new networks according to G_args and D_args before resuming training (default: %(default)s)', default=False, metavar='BOOL', type=_str_to_bool)

args = parser.parse_args()

Expand Down