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minibatch-size and minibatch-gpu from command line #20

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minibatch-size and minibatch-gpu from command line #20

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10 changes: 6 additions & 4 deletions run_training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@

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

def run(dataset, data_dir, result_dir, config_id, num_gpus, total_kimg, gamma, mirror_augment, mirror_augment_v, metrics, min_h, min_w, res_log2, lr, use_attention, resume_with_new_nets, glr, dlr, use_raw):
def run(dataset, data_dir, result_dir, config_id, num_gpus, total_kimg, gamma, mirror_augment, mirror_augment_v, metrics, min_h, min_w, res_log2, lr, use_attention, resume_with_new_nets, glr, dlr, use_raw, minibatch_size, minibatch_gpu):
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 @@ -60,8 +60,8 @@ def run(dataset, data_dir, result_dir, config_id, num_gpus, total_kimg, gamma, m
if dlr:
sched.D_lrate_base = dlr

sched.minibatch_size_base = 32
sched.minibatch_gpu_base = 4
sched.minibatch_size_base = minibatch_size
sched.minibatch_gpu_base = minibatch_gpu
D_loss.gamma = 10
metrics = [metric_defaults[x] for x in metrics]
desc = 'stylegan2'
Expand Down Expand Up @@ -191,10 +191,12 @@ def main():
parser.add_argument('--lr', help='base learning rate', default=0.003, type=float)
parser.add_argument('--glr',help='overwrite base learning rate for G', default=None, type=float)
parser.add_argument('--dlr',help='overwrite base learning rate for D', default=None, type=float)
parser.add_argument('--minibatch-size', help='Maximum minibatch size to use', default=32, type=int)
parser.add_argument('--minibatch-gpu', help='The size processed at a time by a single GPU', default=4, type=int)
parser.add_argument('--use-raw', help='Use raw image dataset, i.e. created from create_from_images_raw (default: %(default)s)', default=True, metavar='BOOL', type=_str_to_bool)
parser.add_argument('--use-attention', help='Experimental: Use google attention (default: %(default)s)', default=False, metavar='BOOL', type=_str_to_bool)
parser.add_argument('--resume_with_new_nets', help='Experimental: Copy from checkpoint instead of direct load, useful for network structure modification (default: %(default)s)', default=False, metavar='BOOL', type=_str_to_bool)

args = parser.parse_args()

if not os.path.exists(args.data_dir):
Expand Down