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Upload ddpm_pred_x0_cifar10 checkpoints and training logs

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  1. ddpm_pred_x0_cifar10/ckpt/step079999/ema.pt +3 -0
  2. ddpm_pred_x0_cifar10/ckpt/step079999/meta.pt +3 -0
  3. ddpm_pred_x0_cifar10/ckpt/step079999/model.pt +3 -0
  4. ddpm_pred_x0_cifar10/ckpt/step079999/optimizer.pt +3 -0
  5. ddpm_pred_x0_cifar10/ckpt/step159999/ema.pt +3 -0
  6. ddpm_pred_x0_cifar10/ckpt/step159999/meta.pt +3 -0
  7. ddpm_pred_x0_cifar10/ckpt/step159999/model.pt +3 -0
  8. ddpm_pred_x0_cifar10/ckpt/step159999/optimizer.pt +3 -0
  9. ddpm_pred_x0_cifar10/ckpt/step239999/ema.pt +3 -0
  10. ddpm_pred_x0_cifar10/ckpt/step239999/meta.pt +3 -0
  11. ddpm_pred_x0_cifar10/ckpt/step239999/model.pt +3 -0
  12. ddpm_pred_x0_cifar10/ckpt/step239999/optimizer.pt +3 -0
  13. ddpm_pred_x0_cifar10/ckpt/step319999/ema.pt +3 -0
  14. ddpm_pred_x0_cifar10/ckpt/step319999/meta.pt +3 -0
  15. ddpm_pred_x0_cifar10/ckpt/step319999/model.pt +3 -0
  16. ddpm_pred_x0_cifar10/ckpt/step319999/optimizer.pt +3 -0
  17. ddpm_pred_x0_cifar10/ckpt/step399999/ema.pt +3 -0
  18. ddpm_pred_x0_cifar10/ckpt/step399999/meta.pt +3 -0
  19. ddpm_pred_x0_cifar10/ckpt/step399999/model.pt +3 -0
  20. ddpm_pred_x0_cifar10/ckpt/step399999/optimizer.pt +3 -0
  21. ddpm_pred_x0_cifar10/ckpt/step479999/ema.pt +3 -0
  22. ddpm_pred_x0_cifar10/ckpt/step479999/meta.pt +3 -0
  23. ddpm_pred_x0_cifar10/ckpt/step479999/model.pt +3 -0
  24. ddpm_pred_x0_cifar10/ckpt/step479999/optimizer.pt +3 -0
  25. ddpm_pred_x0_cifar10/ckpt/step559999/ema.pt +3 -0
  26. ddpm_pred_x0_cifar10/ckpt/step559999/meta.pt +3 -0
  27. ddpm_pred_x0_cifar10/ckpt/step559999/model.pt +3 -0
  28. ddpm_pred_x0_cifar10/ckpt/step559999/optimizer.pt +3 -0
  29. ddpm_pred_x0_cifar10/ckpt/step639999/ema.pt +3 -0
  30. ddpm_pred_x0_cifar10/ckpt/step639999/meta.pt +3 -0
  31. ddpm_pred_x0_cifar10/ckpt/step639999/model.pt +3 -0
  32. ddpm_pred_x0_cifar10/ckpt/step639999/optimizer.pt +3 -0
  33. ddpm_pred_x0_cifar10/ckpt/step719999/ema.pt +3 -0
  34. ddpm_pred_x0_cifar10/ckpt/step719999/meta.pt +3 -0
  35. ddpm_pred_x0_cifar10/ckpt/step719999/model.pt +3 -0
  36. ddpm_pred_x0_cifar10/ckpt/step719999/optimizer.pt +3 -0
  37. ddpm_pred_x0_cifar10/ckpt/step799999/ema.pt +3 -0
  38. ddpm_pred_x0_cifar10/ckpt/step799999/meta.pt +3 -0
  39. ddpm_pred_x0_cifar10/ckpt/step799999/model.pt +3 -0
  40. ddpm_pred_x0_cifar10/ckpt/step799999/optimizer.pt +3 -0
  41. ddpm_pred_x0_cifar10/config-2023-08-07-07-49-01.yaml +54 -0
  42. ddpm_pred_x0_cifar10/config-2023-08-09-23-34-33.yaml +54 -0
  43. ddpm_pred_x0_cifar10/output-2023-08-07-07-49-01.log +847 -0
  44. ddpm_pred_x0_cifar10/output-2023-08-09-23-34-33.log +0 -0
  45. ddpm_pred_x0_cifar10/samples.zip +3 -0
  46. ddpm_pred_x0_cifar10/tensorboard/events.out.tfevents.1691408944.aa-ESC4000-G4.24711.0 +3 -0
  47. ddpm_pred_x0_cifar10/tensorboard/events.out.tfevents.1691638477.aa-ESC4000-G4.12367.0 +3 -0
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+ seed: 2022
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+ data:
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+ name: CIFAR-10
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+ dataroot: ~/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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+ micro_batch: 0
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+ model:
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+ target: models.unet.UNet
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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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+ - true
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+ n_heads: 1
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+ dropout: 0.1
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+ ema_decay: 0.9999
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+ ema_gradual: true
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+ diffusion:
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+ target: diffusions.ddpm.DDPM
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+ params:
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+ total_steps: 1000
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+ beta_schedule: linear
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+ beta_start: 0.0001
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+ beta_end: 0.02
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+ objective: pred_x0
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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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+ clip_grad_norm: 1.0
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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: 64
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+ optim:
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+ target: torch.optim.Adam
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+ params:
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+ lr: 0.0002
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+ seed: 2022
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+ data:
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+ name: CIFAR-10
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+ dataroot: ~/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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+ micro_batch: 0
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+ model:
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+ target: models.unet.UNet
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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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+ n_heads: 1
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+ dropout: 0.1
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+ ema_decay: 0.9999
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+ ema_gradual: true
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+ diffusion:
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+ target: diffusions.ddpm.DDPM
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+ params:
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+ total_steps: 1000
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+ beta_schedule: linear
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+ beta_start: 0.0001
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+ beta_end: 0.02
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+ objective: pred_x0
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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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+ clip_grad_norm: 1.0
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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: 64
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+ optim:
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+ target: torch.optim.Adam
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+ params:
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+ lr: 0.0002
ddpm_pred_x0_cifar10/output-2023-08-07-07-49-01.log ADDED
@@ -0,0 +1,847 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 2023-08-07 07:49:04,646 - INFO - Experiment directory: ./runs/ddpm_cifar10_pred_x0
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+ 2023-08-07 07:49:04,647 - INFO - Number of processes: 4
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+ 2023-08-07 07:49:04,647 - INFO - Distributed type: DistributedType.MULTI_GPU
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+ 2023-08-07 07:49:04,647 - INFO - Mixed precision: no
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+ 2023-08-07 07:49:04,647 - INFO - ==============================
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+ 2023-08-07 07:49:06,157 - INFO - Size of training set: 50000
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+ 2023-08-07 07:49:06,157 - INFO - Batch size per process: 32
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+ 2023-08-07 07:49:06,157 - INFO - Total batch size: 128
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+ 2023-08-07 07:49:06,157 - INFO - ==============================
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+ 2023-08-07 07:49:06,976 - INFO - Start training...
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+ 2023-08-07 07:50:31,019 - INFO - [Train] step: 399, loss: 0.119830, lr: 0.000200
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+ 2023-08-07 18:24:55,283 - INFO - [Train] step: 181999, loss: 0.094663, lr: 0.000200
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+ 2023-08-07 18:43:03,889 - INFO - [Train] step: 187199, loss: 0.095830, lr: 0.000200
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