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Upload ddpm_cfg_cifar10 checkpoints and training logs

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  1. ddpm_cfg_cifar10/ckpt/step799999/ema.pt +3 -0
  2. ddpm_cfg_cifar10/ckpt/step799999/meta.pt +3 -0
  3. ddpm_cfg_cifar10/ckpt/step799999/model.pt +3 -0
  4. ddpm_cfg_cifar10/ckpt/step799999/optimizer.pt +3 -0
  5. ddpm_cfg_cifar10/config-2023-05-06-19-03-22.yaml +58 -0
  6. ddpm_cfg_cifar10/output-2023-05-06-19-03-22.log +0 -0
  7. ddpm_cfg_cifar10/samples.zip +3 -0
  8. ddpm_cfg_cifar10/tensorboard/events.out.tfevents.1683371004.ubuntu-WS-C621E-SAGE-Series.1587378.0 +3 -0
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+ seed: 2022
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+ data:
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+ target: datasets.cifar10.CIFAR10
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+ params:
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+ root: ~/data/CIFAR-10/
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+ img_size: 32
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+ img_channels: 3
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+ num_classes: 10
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+ dataloader:
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+ num_workers: 4
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+ pin_memory: true
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+ prefetch_factor: 2
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+ model:
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+ target: models.unet_categorial_adagn.UNetCategorialAdaGN
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+ params:
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+ in_channels: 3
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+ out_channels: 3
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+ dim: 128
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+ dim_mults:
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+ - 1
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+ - 2
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+ - 2
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+ - 2
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+ use_attn:
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+ - false
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+ - true
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+ - true
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+ - false
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+ num_res_blocks: 2
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+ num_classes: 10
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+ attn_head_dims: 64
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+ resblock_updown: true
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+ dropout: 0.1
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+ diffusion:
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+ target: diffusions.cfg.ddpm_cfg.DDPMCFG
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+ params:
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+ total_steps: 1000
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+ beta_schedule: cosine
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+ beta_start: 0.0001
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+ beta_end: 0.02
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+ objective: pred_eps
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+ var_type: fixed_large
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+ train:
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+ n_steps: 800000
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+ batch_size: 128
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+ micro_batch: 0
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+ clip_grad_norm: 1.0
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+ ema_decay: 0.9999
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+ ema_gradual: true
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+ print_freq: 400
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+ save_freq: 10000
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+ sample_freq: 5000
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+ n_samples_each_class: 10
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+ p_uncond: 0.2
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+ optim:
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+ target: torch.optim.AdamW
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+ params:
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+ lr: 0.0002
ddpm_cfg_cifar10/output-2023-05-06-19-03-22.log ADDED
The diff for this file is too large to render. See raw diff
 
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