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Replace 'range' with 'range_value' to suppress the deprecation warning #294

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Replace 'range' with 'range_value' to suppress the deprecation warning #294

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2 changes: 1 addition & 1 deletion apply_factor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,6 +89,6 @@
torch.cat([img1, img, img2], 0),
f"{args.out_prefix}_index-{args.index}_degree-{args.degree}.png",
normalize=True,
range=(-1, 1),
range_value=(-1, 1),
nrow=args.n_sample,
)
2 changes: 1 addition & 1 deletion convert_weight.py
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Original file line number Diff line number Diff line change
Expand Up @@ -297,5 +297,5 @@ def fill_statedict(state_dict, vars, size, n_mlp):
print(img_diff.abs().max())

utils.save_image(
img_concat, name + ".png", nrow=n_sample, normalize=True, range=(-1, 1)
img_concat, name + ".png", nrow=n_sample, normalize=True, range_value=(-1, 1)
)
2 changes: 1 addition & 1 deletion generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ def generate(args, g_ema, device, mean_latent):
f"sample/{str(i).zfill(6)}.png",
nrow=1,
normalize=True,
range=(-1, 1),
range_value=(-1, 1),
)


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2 changes: 1 addition & 1 deletion train.py
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Expand Up @@ -311,7 +311,7 @@ def train(args, loader, generator, discriminator, g_optim, d_optim, g_ema, devic
f"sample/{str(i).zfill(6)}.png",
nrow=int(args.n_sample ** 0.5),
normalize=True,
range=(-1, 1),
range_value=(-1, 1),
)

if i % 10000 == 0:
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