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Add IC9600 testing models

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  1. .gitattributes +71 -0
  2. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/4xIC9600_01_DF2K_plksr_tiny_fp16.toml +63 -0
  3. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_10000.pth +3 -0
  4. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_100000.pth +3 -0
  5. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_20000.pth +3 -0
  6. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_30000.pth +3 -0
  7. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_40000.pth +3 -0
  8. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_50000.pth +3 -0
  9. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_60000.pth +3 -0
  10. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_70000.pth +3 -0
  11. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_80000.pth +3 -0
  12. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_90000.pth +3 -0
  13. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/models/net_g_latest.pth +3 -0
  14. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/train_4xIC9600_0.1_DF2K_plksr_tiny_fp16_20241003_130437.log +0 -0
  15. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/10000.state +3 -0
  16. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/100000.state +3 -0
  17. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/20000.state +3 -0
  18. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/30000.state +3 -0
  19. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/40000.state +3 -0
  20. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/50000.state +3 -0
  21. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/60000.state +3 -0
  22. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/70000.state +3 -0
  23. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/80000.state +3 -0
  24. ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/training_states/90000.state +3 -0
  25. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/4xIC9600_02_DF2K_plksr_tiny_fp16.toml +63 -0
  26. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_10000.pth +3 -0
  27. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_100000.pth +3 -0
  28. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_20000.pth +3 -0
  29. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_30000.pth +3 -0
  30. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_40000.pth +3 -0
  31. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_50000.pth +3 -0
  32. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_60000.pth +3 -0
  33. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_70000.pth +3 -0
  34. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_80000.pth +3 -0
  35. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_90000.pth +3 -0
  36. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/models/net_g_latest.pth +3 -0
  37. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/train_4xIC9600_0.2_DF2K_plksr_tiny_fp16_20241003_145240.log +0 -0
  38. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/10000.state +3 -0
  39. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/100000.state +3 -0
  40. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/20000.state +3 -0
  41. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/30000.state +3 -0
  42. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/40000.state +3 -0
  43. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/50000.state +3 -0
  44. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/60000.state +3 -0
  45. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/70000.state +3 -0
  46. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/80000.state +3 -0
  47. ic9600/4xIC9600_0.2_DF2K_plksr_tiny_fp16/training_states/90000.state +3 -0
  48. ic9600/4xIC9600_0.3_DF2K_plksr_tiny_fp16/4xIC9600_03_DF2K_plksr_tiny_fp16.toml +63 -0
  49. ic9600/4xIC9600_0.3_DF2K_plksr_tiny_fp16/models/net_g_10000.pth +3 -0
  50. ic9600/4xIC9600_0.3_DF2K_plksr_tiny_fp16/models/net_g_100000.pth +3 -0
.gitattributes CHANGED
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ic9600/4xIC9600_0.1_DF2K_plksr_tiny_fp16/4xIC9600_01_DF2K_plksr_tiny_fp16.toml ADDED
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+ # GENERATE TIME: Thu Oct 3 13:04:37 2024
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+ # CMD:
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+ # train.py -opt options/plksr_tiny/complexity/fp16/4xIC9600_01_DF2K_plksr_tiny_fp16.toml
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+
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+ # Training config exactly as used for testing with neosr, latest commit hash dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74
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+ name = "4xIC9600_0.1_DF2K_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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+
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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/complexity/sets/complexity01_hr/'
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+ dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/complexity/sets/complexity01_lr/'
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+ patch_size = 32
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+ batch_size = 16
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+
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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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+
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+ [path]
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+
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+ [network_g]
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+ #type = "plksr"
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+ type = "plksr_tiny"
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+
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+ [train]
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+ ema = 0.999
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+
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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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+
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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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+
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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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+
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+ [logger]
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+ total_iter = 100000
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+ save_checkpoint_freq = 10000
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+ use_tb_logger = true
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+ # GENERATE TIME: Thu Oct 3 14:52:40 2024
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+ # CMD:
3
+ # train.py -opt options/plksr_tiny/complexity/fp16/4xIC9600_02_DF2K_plksr_tiny_fp16.toml
4
+
5
+ # Training config exactly as used for testing with neosr, latest commit hash dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74
6
+ name = "4xIC9600_0.2_DF2K_plksr_tiny_fp16"
7
+ model_type = "image"
8
+ scale = 4
9
+ use_amp = true
10
+ manual_seed = 1024
11
+
12
+ [datasets.train]
13
+ type = "paired"
14
+ dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/train/complexity/sets/complexity02_hr/'
15
+ dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/complexity/sets/complexity02_lr/'
16
+ patch_size = 32
17
+ batch_size = 16
18
+
19
+ [datasets.val]
20
+ name = "val"
21
+ type = "paired"
22
+ dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_HR/'
23
+ dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_LR_bicubic/X4/'
24
+ [val]
25
+ val_freq = 10000
26
+ save_img = false
27
+ [val.metrics.psnr]
28
+ type = "calculate_psnr"
29
+ [val.metrics.ssim]
30
+ type = "calculate_ssim"
31
+ [val.metrics.dists]
32
+ type = "calculate_dists"
33
+ better = "lower"
34
+
35
+ [path]
36
+
37
+ [network_g]
38
+ #type = "plksr"
39
+ type = "plksr_tiny"
40
+
41
+ [train]
42
+ ema = 0.999
43
+
44
+ [train.optim_g]
45
+ type = "adamw"
46
+ lr = 1e-4
47
+ betas = [ 0.9, 0.99 ]
48
+ weight_decay = 0
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+
50
+ [train.scheduler]
51
+ type = "multisteplr"
52
+ milestones = [ 60000, 120000 ]
53
+ gamma = 0.5
54
+
55
+ [train.pixel_opt]
56
+ type = "L1Loss"
57
+ loss_weight = 1.0
58
+ reduction = "mean"
59
+
60
+ [logger]
61
+ total_iter = 100000
62
+ save_checkpoint_freq = 10000
63
+ use_tb_logger = true
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1
+ # GENERATE TIME: Thu Oct 3 16:44:48 2024
2
+ # CMD:
3
+ # train.py -opt options/plksr_tiny/complexity/fp16/4xIC9600_03_DF2K_plksr_tiny_fp16.toml
4
+
5
+ # Training config exactly as used for testing with neosr, latest commit hash dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74
6
+ name = "4xIC9600_0.3_DF2K_plksr_tiny_fp16"
7
+ model_type = "image"
8
+ scale = 4
9
+ use_amp = true
10
+ manual_seed = 1024
11
+
12
+ [datasets.train]
13
+ type = "paired"
14
+ dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/train/complexity/sets/complexity03_hr/'
15
+ dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/train/complexity/sets/complexity03_lr/'
16
+ patch_size = 32
17
+ batch_size = 16
18
+
19
+ [datasets.val]
20
+ name = "val"
21
+ type = "paired"
22
+ dataroot_gt = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_HR/'
23
+ dataroot_lq = '/home/phips/Documents/Datasets/wip/DF2K/test/DIV2K_valid_LR_bicubic/X4/'
24
+ [val]
25
+ val_freq = 10000
26
+ save_img = false
27
+ [val.metrics.psnr]
28
+ type = "calculate_psnr"
29
+ [val.metrics.ssim]
30
+ type = "calculate_ssim"
31
+ [val.metrics.dists]
32
+ type = "calculate_dists"
33
+ better = "lower"
34
+
35
+ [path]
36
+
37
+ [network_g]
38
+ #type = "plksr"
39
+ type = "plksr_tiny"
40
+
41
+ [train]
42
+ ema = 0.999
43
+
44
+ [train.optim_g]
45
+ type = "adamw"
46
+ lr = 1e-4
47
+ betas = [ 0.9, 0.99 ]
48
+ weight_decay = 0
49
+
50
+ [train.scheduler]
51
+ type = "multisteplr"
52
+ milestones = [ 60000, 120000 ]
53
+ gamma = 0.5
54
+
55
+ [train.pixel_opt]
56
+ type = "L1Loss"
57
+ loss_weight = 1.0
58
+ reduction = "mean"
59
+
60
+ [logger]
61
+ total_iter = 100000
62
+ save_checkpoint_freq = 10000
63
+ use_tb_logger = true
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