35 lines
1,000 B
Bash
35 lines
1,000 B
Bash
|
loss="mse_sum"
|
||
|
NGPU=$1 ## 1 #8
|
||
|
num_node=2
|
||
|
mem=32
|
||
|
BS=10
|
||
|
lr=2e-4
|
||
|
ENT="python train_dist.py --num_process_per_node $NGPU "
|
||
|
train_vae=False
|
||
|
cmt="lion"
|
||
|
ckpt="./lion_ckpt/unconditional/car/checkpoints/vae_only.pt"
|
||
|
|
||
|
$ENT \
|
||
|
--config "./lion_ckpt/unconditional/car/cfg.yml" \
|
||
|
latent_pts.pvd_mse_loss 1 \
|
||
|
vis_latent_point 1 \
|
||
|
num_val_samples 24 \
|
||
|
ddpm.ema 1 \
|
||
|
ddpm.use_bn False ddpm.use_gn True \
|
||
|
ddpm.time_dim 64 \
|
||
|
ddpm.beta_T 0.02 \
|
||
|
sde.vae_checkpoint $ckpt \
|
||
|
sde.learning_rate_dae $lr sde.learning_rate_min_dae $lr \
|
||
|
trainer.epochs 18000 \
|
||
|
sde.num_channels_dae 2048 \
|
||
|
sde.dropout 0.3 \
|
||
|
latent_pts.style_prior 'models.score_sde.resnet.PriorSEDrop' \
|
||
|
sde.prior_model 'models.latent_points_ada_localprior.PVCNN2Prior' \
|
||
|
sde.train_vae $train_vae \
|
||
|
sde.embedding_scale 1.0 \
|
||
|
viz.save_freq 1000 \
|
||
|
viz.viz_freq -200 viz.log_freq -1 viz.val_freq -10000 \
|
||
|
data.batch_size $BS \
|
||
|
trainer.type 'trainers.train_2prior' \
|
||
|
cmt $cmt
|