Add HEART v2 training config
Browse files
configs/4x_HEART_pretrain_v2.yml
ADDED
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| 1 |
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name: 4x_HEART_pd12m_full_200k
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| 2 |
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scale: 4
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use_amp: true
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amp_bf16: true
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use_channels_last: true
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fast_matmul: false
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use_compile: true
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compile_mode: reduce-overhead
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num_gpu: auto
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manual_seed: 1024
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datasets:
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train:
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name: PD12M full
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type: pairedimagedataset
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dataroot_gt:
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- /home/phips/Documents/dataset/pd12m/new/pd12m_train_full_gt
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dataroot_lq:
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- /home/phips/Documents/dataset/pd12m/new/pd12m_train_full_lr_x4
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lq_size: 128
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use_hflip: true
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use_rot: true
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num_worker_per_gpu: 8
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batch_size_per_gpu: 2
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accum_iter: 1
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val:
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name: Urban100 x4
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type: pairedimagedataset
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dataroot_gt:
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- /home/phips/Documents/dataset/Urban100/HR
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dataroot_lq:
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- /home/phips/Documents/dataset/Urban100/x4
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filename_tmpl: '{}'
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network_g:
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type: heart
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use_checkpoint: false
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rank: 8
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attention_freq: 2
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path:
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param_key_g: null
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strict_load_g: true
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resume_state: null
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pretrain_network_g: experiments/heart_pretrain/models/heart_4x_pretrain.safetensors
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train:
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ema_decay: 0.999
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ema_power: 0.75
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grad_clip: false
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grad_clip_max_norm: 100
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optim_g:
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type: AdamW
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lr: 0.0001
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weight_decay: 0
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betas:
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- 0.9
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- 0.99
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scheduler:
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type: MultiStepLR
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milestones:
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- 100000
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- 160000
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gamma: 0.5
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total_iter: 200000
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warmup_iter: -1
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losses:
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- type: charbonnierloss
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loss_weight: 1.0
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val:
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val_enabled: true
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val_freq: 5000
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save_img: false
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tile_size: 0
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tile_overlap: 8
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metrics_enabled: true
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metrics:
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psnr:
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type: calculate_psnr
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crop_border: 4
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test_y_channel: true
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ssim:
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type: calculate_ssim
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crop_border: 4
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test_y_channel: true
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topiq:
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type: calculate_topiq
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lpips:
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type: calculate_lpips
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better: lower
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save_best: true
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early_stop: true
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early_stop_metric: psnr
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early_stop_patience: 4
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early_stop_min_delta: 0.0
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logger:
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print_freq: 100
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save_checkpoint_freq: 10000
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save_checkpoint_format: safetensors
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use_tb_logger: true
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