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seed: 5678
data:
name: CIFAR-10
dataroot: /data/CIFAR-10/
img_size: 32
img_channels: 3
dataloader:
num_workers: 4
pin_memory: true
prefetch_factor: 2
G:
target: models.simple_cnn.Generator
params:
z_dim: 100
dim: 256
dim_mults:
- 4
- 2
- 1
out_dim: 3
with_bn: true
with_tanh: true
D:
target: models.simple_cnn.Discriminator
params:
in_dim: 3
dim: 256
dim_mults:
- 1
- 2
- 4
with_bn: true
with_sn: true
train:
n_steps: 40000
batch_size: 512
d_iters: 5
resume: null
print_freq: 100
save_freq: 10000
sample_freq: 1000
eval_freq: 1000
n_samples: 64
loss_fn:
target: losses.hinge_loss.HingeLoss
params: {}
optim_G:
target: torch.optim.Adam
params:
lr: 0.0008
betas:
- 0.5
- 0.999
optim_D:
target: torch.optim.Adam
params:
lr: 0.0008
betas:
- 0.5
- 0.999
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