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24 changes: 24 additions & 0 deletions
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configs/classification/_base_/models/metaformer/identityformer_m36.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='identityformer_m36', | ||
| drop_path_rate=0.3, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=768, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
24 changes: 24 additions & 0 deletions
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configs/classification/_base_/models/metaformer/identityformer_s12.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='identityformer_s12', | ||
| drop_path_rate=0.1, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=512, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
24 changes: 24 additions & 0 deletions
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configs/classification/_base_/models/metaformer/poolformerv2_m36.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='poolformerv2_m36', | ||
| drop_path_rate=0.3, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=768, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
24 changes: 24 additions & 0 deletions
24
configs/classification/_base_/models/metaformer/poolformerv2_s12.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='poolformerv2_s12', | ||
| drop_path_rate=0.1, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=512, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
24 changes: 24 additions & 0 deletions
24
configs/classification/_base_/models/metaformer/randformer_m36.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='randformer_m36', | ||
| drop_path_rate=0.15, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=768, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
24 changes: 24 additions & 0 deletions
24
configs/classification/_base_/models/metaformer/randformer_s12.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| # model settings | ||
| model = dict( | ||
| type='MixUpClassification', | ||
| pretrained=None, | ||
| alpha=[0.8, 1.0,], | ||
| mix_mode=["mixup", "cutmix",], | ||
| mix_args=dict(), | ||
| backbone=dict( | ||
| type='MetaFormer', | ||
| arch='randformer_s12', | ||
| drop_path_rate=0.1, | ||
| ), | ||
| head=dict( | ||
| type='MetaFormerClsHead', | ||
| loss=dict(type='LabelSmoothLoss', | ||
| label_smooth_val=0.1, num_classes=1000, mode='original', loss_weight=1.0), | ||
| with_avg_pool=True, | ||
| head_dropout=0., | ||
| in_channels=512, num_classes=1000), | ||
| init_cfg=[ | ||
| dict(type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.), | ||
| dict(type='Constant', layer=['LayerNorm', 'GroupNorm'], val=1., bias=0.) | ||
| ], | ||
| ) |
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42 changes: 42 additions & 0 deletions
42
configs/classification/imagenet/metaformer/identityformer_m36_8xb128_ac4_ep300.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/metaformer/identityformer_m36.py', | ||
| '../../_base_/datasets/imagenet/poolformer_m_sz224_8xbs128.py', | ||
| '../../_base_/default_runtime.py', | ||
| ] | ||
|
|
||
| # data | ||
| data = dict(imgs_per_gpu=128, workers_per_gpu=8) | ||
|
|
||
| # additional hooks | ||
| update_interval = 4 # total: 8 x bs128 x 4 accumulates = bs4096 | ||
|
|
||
| # optimizer | ||
| optimizer = dict( | ||
| type='AdamW', | ||
| lr=4e-3, # lr / bs4096 | ||
| weight_decay=0.05, eps=1e-8, betas=(0.9, 0.999), | ||
| paramwise_options={ | ||
| '(bn|ln|gn)(\d+)?.(weight|bias)': dict(weight_decay=0.), | ||
| 'norm': dict(weight_decay=0.), | ||
| 'bias': dict(weight_decay=0.), | ||
| 'layer_scale': dict(weight_decay=0.), | ||
| 'res_scale': dict(weight_decay=0.), | ||
| }) | ||
|
|
||
| # fp16 | ||
| use_fp16 = False | ||
| fp16 = dict(type='mmcv', loss_scale='dynamic') | ||
| optimizer_config = dict( | ||
| grad_clip=dict(max_norm=5.0), update_interval=update_interval) | ||
|
|
||
| # lr scheduler | ||
| lr_config = dict( | ||
| policy='CosineAnnealing', | ||
| by_epoch=False, min_lr=1e-6, | ||
| warmup='linear', | ||
| warmup_iters=5, warmup_by_epoch=True, | ||
| warmup_ratio=1e-6, | ||
| ) | ||
|
|
||
| # runtime settings | ||
| runner = dict(type='EpochBasedRunner', max_epochs=300) |
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configs/classification/imagenet/metaformer/identityformer_m48_8xb128_ac4_ep300.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/metaformer/identityformer_m36.py', | ||
| '../../_base_/datasets/imagenet/poolformer_m_sz224_8xbs128.py', | ||
| '../../_base_/default_runtime.py', | ||
| ] | ||
|
|
||
| # model settings | ||
| model = dict( | ||
| backbone=dict( | ||
| arch='identityformer_m48', drop_path_rate=0.4), | ||
| ) | ||
|
|
||
| # data | ||
| data = dict(imgs_per_gpu=128, workers_per_gpu=8) | ||
|
|
||
| # additional hooks | ||
| update_interval = 4 # total: 8 x bs128 x 4 accumulates = bs4096 | ||
|
|
||
| # optimizer | ||
| optimizer = dict( | ||
| type='AdamW', | ||
| lr=4e-3, # lr / bs4096 | ||
| weight_decay=0.05, eps=1e-8, betas=(0.9, 0.999), | ||
| paramwise_options={ | ||
| '(bn|ln|gn)(\d+)?.(weight|bias)': dict(weight_decay=0.), | ||
| 'norm': dict(weight_decay=0.), | ||
| 'bias': dict(weight_decay=0.), | ||
| 'layer_scale': dict(weight_decay=0.), | ||
| 'res_scale': dict(weight_decay=0.), | ||
| }) | ||
|
|
||
| # fp16 | ||
| use_fp16 = False | ||
| fp16 = dict(type='mmcv', loss_scale='dynamic') | ||
| optimizer_config = dict( | ||
| grad_clip=dict(max_norm=5.0), update_interval=update_interval) | ||
|
|
||
| # lr scheduler | ||
| lr_config = dict( | ||
| policy='CosineAnnealing', | ||
| by_epoch=False, min_lr=1e-6, | ||
| warmup='linear', | ||
| warmup_iters=5, warmup_by_epoch=True, | ||
| warmup_ratio=1e-6, | ||
| ) | ||
|
|
||
| # runtime settings | ||
| runner = dict(type='EpochBasedRunner', max_epochs=300) |
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configs/classification/imagenet/metaformer/identityformer_s12_8xb128_ac4_ep300.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/metaformer/identityformer_s12.py', | ||
| '../../_base_/datasets/imagenet/poolformer_m_sz224_8xbs128.py', | ||
| '../../_base_/default_runtime.py', | ||
| ] | ||
|
|
||
| # data | ||
| data = dict(imgs_per_gpu=128, workers_per_gpu=8) | ||
|
|
||
| # additional hooks | ||
| update_interval = 4 # total: 8 x bs128 x 4 accumulates = bs4096 | ||
|
|
||
| # optimizer | ||
| optimizer = dict( | ||
| type='AdamW', | ||
| lr=4e-3, # lr / bs4096 | ||
| weight_decay=0.05, eps=1e-8, betas=(0.9, 0.999), | ||
| paramwise_options={ | ||
| '(bn|ln|gn)(\d+)?.(weight|bias)': dict(weight_decay=0.), | ||
| 'norm': dict(weight_decay=0.), | ||
| 'bias': dict(weight_decay=0.), | ||
| 'layer_scale': dict(weight_decay=0.), | ||
| 'res_scale': dict(weight_decay=0.), | ||
| }) | ||
|
|
||
| # fp16 | ||
| use_fp16 = False | ||
| fp16 = dict(type='mmcv', loss_scale='dynamic') | ||
| optimizer_config = dict( | ||
| grad_clip=dict(max_norm=5.0), update_interval=update_interval) | ||
|
|
||
| # lr scheduler | ||
| lr_config = dict( | ||
| policy='CosineAnnealing', | ||
| by_epoch=False, min_lr=1e-6, | ||
| warmup='linear', | ||
| warmup_iters=5, warmup_by_epoch=True, | ||
| warmup_ratio=1e-6, | ||
| ) | ||
|
|
||
| # runtime settings | ||
| runner = dict(type='EpochBasedRunner', max_epochs=300) |
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