Upload baseline configs
Browse files
baseline/configs/4xDF2K_plksr_tiny.toml
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name = "4xDF2K_plksr_tiny"
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model_type = "image"
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scale = 4
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manual_seed = 1024
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[datasets.train]
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_HR_tiled/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_LR_tiled/'
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patch_size = 32
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batch_size = 16
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[datasets.val]
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name = "val"
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_HR/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_LR_bicubic/X4/'
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[val]
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val_freq = 10000
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save_img = false
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[val.metrics.psnr]
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type = "calculate_psnr"
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[val.metrics.ssim]
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type = "calculate_ssim"
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[val.metrics.dists]
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type = "calculate_dists"
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better = "lower"
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[path]
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[network_g]
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#type = "plksr"
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type = "plksr_tiny"
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[train]
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ema = 0.999
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[train.optim_g]
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type = "adamw"
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lr = 1e-4
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betas = [ 0.9, 0.99 ]
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weight_decay = 0
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[train.scheduler]
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type = "multisteplr"
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milestones = [ 60000, 120000 ]
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gamma = 0.5
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[train.pixel_opt]
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type = "L1Loss"
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loss_weight = 1.0
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reduction = "mean"
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[logger]
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total_iter = 1000000
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save_checkpoint_freq = 10000
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use_tb_logger = true
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baseline/configs/4xDF2K_plksr_tiny_bf16.toml
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name = "4xDF2K_plksr_tiny_bf16"
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model_type = "image"
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scale = 4
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use_amp = true
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bfloat16 = true
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manual_seed = 1024
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[datasets.train]
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_HR_tiled/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_LR_tiled/'
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patch_size = 32
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batch_size = 16
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[datasets.val]
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name = "val"
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_HR/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_LR_bicubic/X4/'
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[val]
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val_freq = 10000
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save_img = false
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[val.metrics.psnr]
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type = "calculate_psnr"
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[val.metrics.ssim]
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type = "calculate_ssim"
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[val.metrics.dists]
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type = "calculate_dists"
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better = "lower"
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[path]
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[network_g]
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#type = "plksr"
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type = "plksr_tiny"
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[train]
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ema = 0.999
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[train.optim_g]
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type = "adamw"
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lr = 1e-4
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betas = [ 0.9, 0.99 ]
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weight_decay = 0
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[train.scheduler]
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type = "multisteplr"
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milestones = [ 60000, 120000 ]
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gamma = 0.5
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[train.pixel_opt]
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type = "L1Loss"
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loss_weight = 1.0
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reduction = "mean"
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[logger]
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total_iter = 200000
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save_checkpoint_freq = 10000
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use_tb_logger = true
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baseline/configs/4xDF2K_plksr_tiny_fp16.toml
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name = "4xDF2K_plksr_tiny_fp16"
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model_type = "image"
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scale = 4
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use_amp = true
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manual_seed = 1024
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[datasets.train]
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_HR_tiled/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/DF2K_LR_tiled/'
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patch_size = 32
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batch_size = 16
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[datasets.val]
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name = "val"
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type = "paired"
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dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_HR/'
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dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_LR_bicubic/X4/'
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[val]
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val_freq = 10000
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save_img = false
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[val.metrics.psnr]
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type = "calculate_psnr"
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[val.metrics.ssim]
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type = "calculate_ssim"
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[val.metrics.dists]
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type = "calculate_dists"
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better = "lower"
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[path]
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[network_g]
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#type = "plksr"
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type = "plksr_tiny"
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[train]
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ema = 0.999
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[train.optim_g]
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type = "adamw"
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lr = 1e-4
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betas = [ 0.9, 0.99 ]
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weight_decay = 0
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[train.scheduler]
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type = "multisteplr"
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milestones = [ 60000, 120000 ]
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gamma = 0.5
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[train.pixel_opt]
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type = "L1Loss"
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loss_weight = 1.0
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reduction = "mean"
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[logger]
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total_iter = 200000
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save_checkpoint_freq = 10000
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use_tb_logger = true
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