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