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CPU Generation and Random Seeds #121

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CPU Generation and Random Seeds #121

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25 changes: 21 additions & 4 deletions generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,8 @@
import torch

import legacy
import functools
import random

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

Expand All @@ -43,6 +45,8 @@ def num_range(s: str) -> List[int]:
@click.option('--noise-mode', help='Noise mode', type=click.Choice(['const', 'random', 'none']), default='const', show_default=True)
@click.option('--projected-w', help='Projection result file', type=str, metavar='FILE')
@click.option('--outdir', help='Where to save the output images', type=str, required=True, metavar='DIR')
@click.option('--gpu', help='Use GPU to generate image (using CPU if not specified)', default='False', type=str, show_default=True)
@click.option('--seed-size', 'seed_size', help='The range at which the seed can be chosen from', default=500000, type=int, show_default=True)
def generate_images(
ctx: click.Context,
network_pkl: str,
Expand All @@ -51,7 +55,9 @@ def generate_images(
noise_mode: str,
outdir: str,
class_idx: Optional[int],
projected_w: Optional[str]
projected_w: Optional[str],
gpu: Optional[str],
seed_size: Optional[str]
):
"""Generate images using pretrained network pickle.

Expand Down Expand Up @@ -79,10 +85,19 @@ def generate_images(
"""

print('Loading networks from "%s"...' % network_pkl)
device = torch.device('cuda')

if gpu == 'True':
device = torch.device('cuda')
else:
device = torch.device('cpu')

with dnnlib.util.open_url(network_pkl) as f:
G = legacy.load_network_pkl(f)['G_ema'].to(device) # type: ignore


if gpu != 'True':
G.forward = functools.partial(G.forward, force_fp32=True)

os.makedirs(outdir, exist_ok=True)

# Synthesize the result of a W projection.
Expand All @@ -100,7 +115,9 @@ def generate_images(
return

if seeds is None:
ctx.fail('--seeds option is required when not using --projected-w')
seeds = []
for i in range(0, 5):
seeds.append(random.randint(0, seed_size))

# Labels.
label = torch.zeros([1, G.c_dim], device=device)
Expand All @@ -126,4 +143,4 @@ def generate_images(
if __name__ == "__main__":
generate_images() # pylint: disable=no-value-for-parameter

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