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  1. alternating_args.json +12 -0
  2. cycle_0/dit/config.json +49 -0
  3. cycle_0/dit/train_loss.csv +0 -0
  4. cycle_0/dit_config.json +49 -0
  5. cycle_0/dit_config.yaml +47 -0
  6. cycle_0/rater/config.json +51 -0
  7. cycle_0/rater/metrics.csv +501 -0
  8. cycle_0/rater_config.json +51 -0
  9. cycle_0/rater_config.yaml +48 -0
  10. cycle_1/dit/checkpoints/final.pt +3 -0
  11. cycle_1/dit/config.json +49 -0
  12. cycle_1/dit/train_loss.csv +0 -0
  13. cycle_1/dit_config.json +49 -0
  14. cycle_1/dit_config.yaml +47 -0
  15. cycle_2/dit/config.json +49 -0
  16. cycle_2/dit/train_loss.csv +0 -0
  17. cycle_2/dit_config.json +49 -0
  18. cycle_2/dit_config.yaml +47 -0
  19. cycle_2/rater/config.json +51 -0
  20. cycle_2/rater/metrics.csv +501 -0
  21. cycle_2/rater_config.json +51 -0
  22. cycle_2/rater_config.yaml +48 -0
  23. cycle_3/dit/config.json +49 -0
  24. cycle_3/dit/train_loss.csv +0 -0
  25. cycle_3/dit_config.json +49 -0
  26. cycle_3/dit_config.yaml +47 -0
  27. cycle_4/dit/config.json +49 -0
  28. cycle_4/dit/train_loss.csv +0 -0
  29. cycle_4/dit_config.json +49 -0
  30. cycle_4/dit_config.yaml +47 -0
  31. cycle_4/rater/config.json +51 -0
  32. cycle_4/rater/metrics.csv +501 -0
  33. cycle_4/rater_config.json +51 -0
  34. cycle_4/rater_config.yaml +48 -0
  35. cycle_5/dit/config.json +49 -0
  36. cycle_5/dit/train_loss.csv +0 -0
  37. cycle_5/dit_config.json +49 -0
  38. cycle_5/dit_config.yaml +47 -0
  39. cycle_6/dit/config.json +49 -0
  40. cycle_6/dit/train_loss.csv +0 -0
  41. cycle_6/dit_config.json +49 -0
  42. cycle_6/dit_config.yaml +47 -0
  43. cycle_6/rater/config.json +51 -0
  44. cycle_6/rater/metrics.csv +501 -0
  45. cycle_6/rater_config.json +51 -0
  46. cycle_6/rater_config.yaml +48 -0
  47. cycle_7/dit/config.json +49 -0
  48. cycle_7/dit/train_loss.csv +0 -0
  49. cycle_7/dit_config.json +49 -0
  50. cycle_7/dit_config.yaml +47 -0
alternating_args.json ADDED
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+ {
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+ "rater_config": "configs/alternate/100k_init_val_00_02/rater.yaml",
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+ "dit_config": "configs/alternate/100k_init_val_00_02/dit.yaml",
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+ "num_cycles": 8,
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+ "dit_steps_per_cycle": 20000,
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+ "warm_start": false,
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+ "warm_start_steps": 200,
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+ "output_dir": "experiments/alt_100k_val_00_02_rater_even",
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+ "rater_cycles": "even",
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+ "rater_gpus": 4,
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+ "dit_gpus": 4
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+ }
cycle_0/dit/config.json ADDED
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+ {
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+ "dataset_name": "imagefolder",
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+ "data_path": "../data/imagenet/train",
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+ "image_size": 256,
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+ "latent_size": 32,
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+ "latent_channels": 4,
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+ "num_classes": 1000,
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+ "vae": "mse",
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+ "num_dummy_samples": 1000,
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+ "dit_model_name": "DiT-S/2",
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+ "noise_rater_model_name": "DiTRater_tc",
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+ "num_noise_samples": 8,
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+ "num_outer_noise_samples": 4,
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+ "diffusion_steps": 1000,
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+ "batch_size": 256,
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+ "train_split_ratio": 0.9,
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+ "inner_lr": 0.0001,
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+ "meta_steps": 100,
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+ "inner_steps": 1,
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+ "meta_refresh_steps": 10,
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+ "grad_clip_norm": 1.0,
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+ "normalize_inner_grad": false,
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+ "rater_ema_decay": 0.0,
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+ "num_inner_models": 2,
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+ "device": "cuda",
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+ "save_checkpoint": false,
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+ "checkpoint_every": 0,
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+ "output_dir": "experiments/alt_100k_val_00_02_rater_even/cycle_0",
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+ "log": true,
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+ "dit_lr": 0.0001,
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+ "dit_total_steps": 20000,
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+ "dit_ema_decay": 0.9999,
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+ "dit_log_every": 100,
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+ "dit_ckpt_every": 20000,
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+ "dit_learn_sigma": true,
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+ "noise_rater_checkpoint": "experiments/alt_100k_val_00_02_rater_even/cycle_0/rater/noise_rater.pt",
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+ "rater_ratio": 1.0,
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+ "dit_init_checkpoint": "experiments/dit_s_2_400k/checkpoints/0100000.pt",
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+ "dit_resume_checkpoint": null,
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+ "use_ddp": true,
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+ "seed": 0,
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+ "run_name": "dit",
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+ "loss_profile_bins": 0,
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+ "dit_init_checkpoint_pool": null,
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+ "profile_every": 0
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+ }
cycle_0/dit/train_loss.csv ADDED
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cycle_0/dit_config.json ADDED
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+ {
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+ "dataset_name": "imagefolder",
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+ "data_path": "../data/imagenet/train",
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+ "image_size": 256,
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+ "latent_size": 32,
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+ "latent_channels": 4,
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+ "num_classes": 1000,
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+ "vae": "mse",
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+ "num_dummy_samples": 1000,
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+ "dit_model_name": "DiT-S/2",
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+ "noise_rater_model_name": "DiTRater_tc",
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+ "num_noise_samples": 8,
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+ "num_outer_noise_samples": 4,
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+ "diffusion_steps": 1000,
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+ "timestep_min_frac": 0.0,
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+ "timestep_max_frac": 1.0,
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+ "batch_size": 256,
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+ "train_split_ratio": 0.9,
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+ "inner_lr": 0.0001,
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+ "outer_lr": 0.001,
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+ "meta_steps": 100,
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+ "inner_steps": 1,
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+ "meta_refresh_steps": 10,
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+ "grad_clip_norm": 1.0,
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+ "normalize_inner_grad": false,
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+ "rater_ema_decay": 0.0,
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+ "num_inner_models": 2,
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+ "device": "cuda",
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+ "save_checkpoint": false,
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+ "checkpoint_every": 0,
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+ "output_dir": "experiments/alt_100k_val_00_02_rater_even/cycle_0",
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+ "log": true,
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+ "dit_lr": 0.0001,
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+ "dit_total_steps": 20000,
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+ "dit_ema_decay": 0.9999,
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+ "dit_log_every": 100,
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+ "dit_ckpt_every": 20000,
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+ "dit_learn_sigma": true,
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+ "noise_rater_checkpoint": "experiments/alt_100k_val_00_02_rater_even/cycle_0/rater/noise_rater.pt",
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+ "rater_ratio": 1.0,
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+ "dit_init_checkpoint": "experiments/dit_s_2_400k/checkpoints/0100000.pt",
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+ "dit_resume_checkpoint": null,
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+ "use_ddp": true,
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+ "seed": 0,
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+ "run_name": "dit",
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+ "loss_profile_bins": 0,
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+ "dit_init_checkpoint_pool": null,
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+ "profile_every": 0
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+ }
cycle_0/dit_config.yaml ADDED
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+ batch_size: 256
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+ checkpoint_every: 0
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+ data_path: ../data/imagenet/train
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+ dataset_name: imagefolder
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+ device: cuda
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+ diffusion_steps: 1000
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+ dit_ckpt_every: 20000
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+ dit_ema_decay: 0.9999
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+ dit_init_checkpoint: experiments/dit_s_2_400k/checkpoints/0100000.pt
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+ dit_init_checkpoint_pool: null
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+ dit_learn_sigma: true
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+ dit_log_every: 100
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+ dit_lr: 0.0001
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+ dit_model_name: DiT-S/2
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+ dit_resume_checkpoint: null
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+ dit_total_steps: 20000
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+ grad_clip_norm: 1.0
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+ image_size: 256
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+ inner_lr: 0.0001
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+ inner_steps: 1
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+ latent_channels: 4
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+ latent_size: 32
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+ log: true
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+ loss_profile_bins: 0
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+ meta_refresh_steps: 10
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+ meta_steps: 100
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+ noise_rater_checkpoint: experiments/alt_100k_val_00_02_rater_even/cycle_0/rater/noise_rater.pt
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+ noise_rater_model_name: DiTRater_tc
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+ normalize_inner_grad: false
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+ num_classes: 1000
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+ num_dummy_samples: 1000
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+ num_inner_models: 2
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+ num_noise_samples: 8
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+ num_outer_noise_samples: 4
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+ outer_lr: 0.001
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+ output_dir: experiments/alt_100k_val_00_02_rater_even/cycle_0
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+ profile_every: 0
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+ rater_ema_decay: 0.0
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+ rater_ratio: 1.0
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+ run_name: dit
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+ save_checkpoint: false
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+ seed: 0
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+ timestep_max_frac: 1.0
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+ timestep_min_frac: 0.0
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+ train_split_ratio: 0.9
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+ use_ddp: true
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+ vae: mse
cycle_0/rater/config.json ADDED
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+ {
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+ "dataset_name": "imagefolder",
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+ "data_path": "../data/imagenet/train",
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+ "num_dummy_samples": 1000,
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+ "dit_model_name": "DiT-S/2",
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+ "noise_rater_model_name": "DiTRater_tc",
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+ "batch_size": 32,
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+ "meta_steps": 500,
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+ "device": "cuda:0",
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+ "save_checkpoint": true,
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+ "checkpoint_every": 0,
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+ "output_dir": "experiments/alt_100k_val_00_02_rater_even/cycle_0",
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+ "log": true,
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+ "dit_lr": 0.0001,
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+ "dit_total_steps": 10000,
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+ "dit_ema_decay": 0.9999,
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+ "experiments/dit_s_2_400k/checkpoints/0100000.pt"
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+ ],
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+ "profile_every": 0
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+ }
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cycle_4/rater_config.yaml ADDED
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cycle_6/dit_config.yaml ADDED
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cycle_6/rater/config.json ADDED
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+ "seed": 60000,
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+ "run_name": "rater",
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+ "loss_profile_bins": 0,
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+ "dit_init_checkpoint_pool": [
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+ "experiments/alt_100k_val_00_02_rater_even/cycle_5/dit/checkpoints/final.pt"
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+ ],
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+ "profile_every": 0
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+ }
cycle_6/rater_config.yaml ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ batch_size: 32
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+ dataset_name: imagefolder
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+ device: cuda
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+ dit_init_checkpoint: null
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+ dit_init_checkpoint_pool:
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+ - experiments/alt_100k_val_00_02_rater_even/cycle_5/dit/checkpoints/final.pt
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+ dit_learn_sigma: true
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+ dit_lr: 0.0001
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+ dit_model_name: DiT-S/2
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+ dit_resume_checkpoint: null
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+ dit_total_steps: 10000
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+ grad_clip_norm: 1.0
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+ num_noise_samples: 4
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+ outer_lr: 0.001
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+ output_dir: experiments/alt_100k_val_00_02_rater_even/cycle_6
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+ profile_every: 0
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+ run_name: rater
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+ save_checkpoint: true
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+ seed: 60000
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+ timestep_max_frac: 0.2
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+ timestep_min_frac: 0.0
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+ train_split_ratio: 0.9
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+ use_ddp: true
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+ vae: mse
cycle_7/dit/config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "loss_profile_bins": 0,
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+ }
cycle_7/dit/train_loss.csv ADDED
The diff for this file is too large to render. See raw diff
 
cycle_7/dit_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "data_path": "../data/imagenet/train",
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+ "loss_profile_bins": 0,
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+ "profile_every": 0
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+ }
cycle_7/dit_config.yaml ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ batch_size: 256
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+ dataset_name: imagefolder
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+ device: cuda
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+ diffusion_steps: 1000
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+ dit_ema_decay: 0.9999
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+ dit_init_checkpoint_pool: null
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+ dit_learn_sigma: true
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+ dit_lr: 0.0001
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+ dit_model_name: DiT-S/2
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+ grad_clip_norm: 1.0
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+ image_size: 256
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+ inner_lr: 0.0001
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+ latent_size: 32
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+ log: true
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+ loss_profile_bins: 0
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+ noise_rater_checkpoint: null
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+ noise_rater_model_name: DummyNoiseRater
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+ normalize_inner_grad: false
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+ num_classes: 1000
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+ num_dummy_samples: 1000
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+ num_inner_models: 2
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+ num_noise_samples: 1
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+ num_outer_noise_samples: 4
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+ output_dir: experiments/alt_100k_val_00_02_rater_even/cycle_7
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+ profile_every: 0
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+ rater_ratio: 1.0
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+ run_name: dit
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+ save_checkpoint: false
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+ seed: 0
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+ timestep_max_frac: 1.0
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+ timestep_min_frac: 0.0
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+ train_split_ratio: 0.9
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+ use_ddp: true
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+ vae: mse