remove misplaced config

docs/stability/clean/configs/4x_SPAN_S_stability.yml

@@ -1,128 +0,0 @@
-name: 4x_SPAN_S_stability
-scale: 4
-use_amp: true
-amp_bf16: true
-use_channels_last: true
-fast_matmul: false
-use_compile: false
-compile_mode: default
-num_gpu: auto
-manual_seed: 1024
-
-high_order_degradation: true
-lq_usm: true
-lq_usm_radius_range: [1, 25]
-blur_prob: 0.6
-resize_prob: [0.2, 0.7, 0.1]
-resize_mode_list: ['bilinear', 'bicubic', 'nearest-exact', 'lanczos']
-resize_mode_prob: [0.25, 0.25, 0.25, 0.25]
-resize_range: [0.4, 1.5]
-gaussian_noise_prob: 0.4
-noise_range: [1, 15]
-poisson_scale_range: [0.05, 2]
-gray_noise_prob: 0.1
-jpeg_prob: 0.4
-jpeg_range: [40, 95]
-blur_prob2: 0.3
-resize_prob2: [0.3, 0.4, 0.3]
-resize_mode_list2: ['bilinear', 'bicubic', 'nearest-exact', 'lanczos']
-resize_mode_prob2: [0.25, 0.25, 0.25, 0.25]
-resize_range2: [0.6, 1.2]
-gaussian_noise_prob2: 0.3
-noise_range2: [1, 10]
-poisson_scale_range2: [0.05, 1.5]
-gray_noise_prob2: 0.05
-jpeg_prob2: 0.3
-jpeg_range2: [40, 95]
-resize_mode_list3: ['bilinear', 'bicubic', 'nearest-exact', 'lanczos']
-resize_mode_prob3: [0.25, 0.25, 0.25, 0.25]
-queue_size: 120
-
-datasets:
-  train:
-    name: LUCID OTF Train
-    type: realesrgandataset
-    dataroot_gt: [datasets/train/lucid_hc512/hr]
-    blur_kernel_size: 12
-    kernel_list: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso']
-    kernel_prob: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03]
-    kernel_range: [5, 17]
-    blur_sigma: [0.2, 2]
-    betag_range: [0.5, 4]
-    betap_range: [1, 2]
-    blur_kernel_size2: 12
-    kernel_list2: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso']
-    kernel_prob2: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03]
-    kernel_range2: [5, 17]
-    blur_sigma2: [0.2, 1]
-    betag_range2: [0.5, 4]
-    betap_range2: [1, 2]
-    final_kernel_range: [5, 17]
-    lq_size: 96
-    use_hflip: true
-    use_rot: true
-    num_worker_per_gpu: 8
-    batch_size_per_gpu: 8
-    accum_iter: 1
-  val:
-    name: Urban100 OTF x4 Val
-    type: pairedimagedataset
-    dataroot_gt: [datasets/val/urban100/hr]
-    dataroot_lq: [datasets/val/urban100_otf_x4]
-
-network_g:
-  type: span_s
-  norm: false
-
-path:
-  param_key_g: ~
-  strict_load_g: true
-  resume_state: ~
-
-train:
-  ema_decay: 0.999
-  ema_power: 0.75
-  grad_clip: false
-  grad_clip_max_norm: 100
-  optim_g:
-    type: AdamW
-    lr: !!float 1e-4
-    weight_decay: 0
-    betas: [0.9, 0.99]
-  scheduler:
-    type: MultiStepLR
-    milestones: [12000, 24000]
-    gamma: 0.5
-  total_iter: 30000
-  warmup_iter: -1
-  losses:
-    - type: charbonnierloss
-      loss_weight: 1.0
-    - type: perceptualloss
-      criterion: charbonnier
-      loss_weight: 0.01
-    - type: mssimloss
-      loss_weight: 0.5
-
-val:
-  val_enabled: true
-  val_freq: 3000
-  save_img: false
-  tile_size: 0
-  tile_overlap: 8
-  metrics_enabled: true
-  metrics:
-    psnr:
-      type: calculate_psnr
-      crop_border: 4
-      test_y_channel: true
-    ssim:
-      type: calculate_ssim
-      crop_border: 4
-      test_y_channel: true
-
-logger:
-  print_freq: 100
-  save_checkpoint_freq: 1000
-  save_checkpoint_format: safetensors
-  use_tb_logger: true