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@@ -1991,3 +1991,6 @@ imagenet/models/ic9600/4ximagenet_span_fp16_ic9600_04/training_states/100000.sta
 imagenet/models/ic9600/4ximagenet_span_fp16_ic9600_05/training_states/100000.state filter=lfs diff=lfs merge=lfs -text
 imagenet/models/ic9600/4ximagenet_span_fp16_ic9600_06/training_states/90000.state filter=lfs diff=lfs merge=lfs -text
 imagenet/models/ic9600/4ximagenet_span_fp16_ic9600_07/training_states/90000.state filter=lfs diff=lfs merge=lfs -text
+lsdir/models/4xlsdir_bhi_span_fp16/training_states/100000.state filter=lfs diff=lfs merge=lfs -text
+lsdir/models/4xlsdir_bhi05_span_fp16/training_states/100000.state filter=lfs diff=lfs merge=lfs -text
+lsdir/models/4xlsdir_span_fp16/training_states/100000.state filter=lfs diff=lfs merge=lfs -text

lsdir/models/4xlsdir_bhi05_span_fp16/4xlsdir_bhi05_span_fp16.toml

@@ -0,0 +1,60 @@
+# GENERATE TIME: Sun Oct 27 22:40:06 2024
+# CMD:
+# train.py -opt options/span/4xlsdir_bhi05_span_fp16.toml
+
+name = "4xlsdir_bhi05_span_fp16"
+model_type = "image"
+scale = 4
+use_amp = true
+manual_seed = 1024
+
+[datasets.train]
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_BHI_HR/'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_BHI_LR/'
+patch_size = 32
+batch_size = 16
+
+[datasets.val]
+name = "val"
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/testsets/Urban100/hr'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/testsets/Urban100/lr_x4/'
+[val]
+val_freq = 10000
+[val.metrics.psnr]
+type = "calculate_psnr"
+[val.metrics.ssim]
+type = "calculate_ssim"
+[val.metrics.dists]
+type = "calculate_dists"
+better = "lower"
+
+[path]
+
+[network_g]
+type = "span"
+
+[train]
+ema = 0.999
+
+[train.optim_g]
+type = "adamw"
+lr = 1e-4
+betas = [ 0.9, 0.99 ]
+weight_decay = 0
+
+[train.scheduler]
+type = "multisteplr"
+milestones = [ 50000 ]
+gamma = 0.5
+
+[train.pixel_opt]
+type = "L1Loss"
+loss_weight = 1.0
+reduction = "mean"
+
+[logger]
+total_iter = 100000
+save_checkpoint_freq = 10000
+use_tb_logger = true

lsdir/models/4xlsdir_bhi05_span_fp16/models/net_g_100000.pth

@@ -0,0 +1,3 @@
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+size 9010221

lsdir/models/4xlsdir_bhi05_span_fp16/training_states/100000.state

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+size 14859114

lsdir/models/4xlsdir_bhi_span_fp16/4xlsdir_bhi_span_fp16.toml

@@ -0,0 +1,60 @@
+# GENERATE TIME: Sun Oct 27 16:48:18 2024
+# CMD:
+# train.py -opt options/span/4xlsdir_bhi_span_fp16.toml
+
+name = "4xlsdir_bhi_span_fp16"
+model_type = "image"
+scale = 4
+use_amp = true
+manual_seed = 1024
+
+[datasets.train]
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_BHI_HR/'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_BHI_LR/'
+patch_size = 32
+batch_size = 16
+
+[datasets.val]
+name = "val"
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/testsets/Urban100/hr'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/testsets/Urban100/lr_x4/'
+[val]
+val_freq = 10000
+[val.metrics.psnr]
+type = "calculate_psnr"
+[val.metrics.ssim]
+type = "calculate_ssim"
+[val.metrics.dists]
+type = "calculate_dists"
+better = "lower"
+
+[path]
+
+[network_g]
+type = "span"
+
+[train]
+ema = 0.999
+
+[train.optim_g]
+type = "adamw"
+lr = 1e-4
+betas = [ 0.9, 0.99 ]
+weight_decay = 0
+
+[train.scheduler]
+type = "multisteplr"
+milestones = [ 50000 ]
+gamma = 0.5
+
+[train.pixel_opt]
+type = "L1Loss"
+loss_weight = 1.0
+reduction = "mean"
+
+[logger]
+total_iter = 100000
+save_checkpoint_freq = 10000
+use_tb_logger = true

lsdir/models/4xlsdir_bhi_span_fp16/models/net_g_100000.pth

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lsdir/models/4xlsdir_bhi_span_fp16/training_states/100000.state

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lsdir/models/4xlsdir_span_fp16/4xlsdir_span_fp16.toml

@@ -0,0 +1,60 @@
+# GENERATE TIME: Sun Oct 27 14:57:09 2024
+# CMD:
+# train.py -opt options/span/4xlsdir_span_fp16.toml
+
+name = "4xlsdir_span_fp16"
+model_type = "image"
+scale = 4
+use_amp = true
+manual_seed = 1024
+
+[datasets.train]
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_HR_tiled/'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/LSDIR/LSDIR_LR/'
+patch_size = 32
+batch_size = 16
+
+[datasets.val]
+name = "val"
+type = "paired"
+dataroot_gt = '/home/phips/Documents/Datasets/wip/testsets/Urban100/hr'
+dataroot_lq = '/home/phips/Documents/Datasets/wip/testsets/Urban100/lr_x4/'
+[val]
+val_freq = 10000
+[val.metrics.psnr]
+type = "calculate_psnr"
+[val.metrics.ssim]
+type = "calculate_ssim"
+[val.metrics.dists]
+type = "calculate_dists"
+better = "lower"
+
+[path]
+
+[network_g]
+type = "span"
+
+[train]
+ema = 0.999
+
+[train.optim_g]
+type = "adamw"
+lr = 1e-4
+betas = [ 0.9, 0.99 ]
+weight_decay = 0
+
+[train.scheduler]
+type = "multisteplr"
+milestones = [ 50000 ]
+gamma = 0.5
+
+[train.pixel_opt]
+type = "L1Loss"
+loss_weight = 1.0
+reduction = "mean"
+
+[logger]
+total_iter = 100000
+save_checkpoint_freq = 10000
+use_tb_logger = true

lsdir/models/4xlsdir_span_fp16/models/net_g_100000.pth

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lsdir/models/4xlsdir_span_fp16/training_states/100000.state

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