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pull/2526/head
gaotingquan 2023-05-29 09:06:10 +00:00 committed by Tingquan Gao
parent 8405882f11
commit b3f7e3b974
34 changed files with 34 additions and 34 deletions
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2
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_dml.yaml
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@ -17,7 +17,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_ssld.yaml
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@ -18,7 +18,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_udml.yaml
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@ -17,7 +17,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/Distillation/res2net200_vd_distill_pphgnet_base.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/EfficientNetV2/EfficientNetV2_S.yaml
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@ -18,7 +18,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
EMA:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_0_ampo2_ultra.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O2: pure fp16
# O1: mixed fp16, O2: pure fp16
level: O2
# model architecture

2
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x0_5.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x1_0.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x1_5.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x2_0.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_S.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_S_L2.yaml
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@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XS.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XS_L2.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XXS.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XXS_L2.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x0_5.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x0_75.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x1_0.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 65536
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model ema

2
ppcls/configs/ImageNet/NextViT/NextViT_base_224.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/NextViT/NextViT_base_384.yaml
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@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/NextViT/NextViT_large_224.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/NextViT/NextViT_large_384.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/NextViT/NextViT_small_224.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/NextViT/NextViT_small_384.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1

2
ppcls/configs/ImageNet/PPHGNet/PPHGNet_base.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/PPHGNet/PPHGNet_small.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/PPHGNet/PPHGNet_tiny.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/PPLCNet/PPLCNet_x1_0_ampo2_ultra.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O2: pure fp16
# O1: mixed fp16, O2: pure fp16
level: O2
# model architecture

2
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O1.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O1_ultra.yaml
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@ -22,7 +22,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O1: mixed fp16
# O1: mixed fp16, O2: pure fp16
level: O1
# model architecture

2
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O2_ultra.yaml
View File

@ -22,7 +22,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O2: pure fp16
# O1: mixed fp16, O2: pure fp16
level: O2
# model architecture

2
ppcls/configs/ImageNet/ResNet/ResNet50_ampo2_ultra.yaml
View File

@ -21,7 +21,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O2: pure fp16
# O1: mixed fp16, O2: pure fp16
level: O2
# model architecture

2
ppcls/configs/ImageNet/SENet/SE_ResNeXt101_32x4d_amp_O2_ultra.yaml
View File

@ -19,7 +19,7 @@ Global:
AMP:
scale_loss: 128.0
use_dynamic_loss_scaling: True
# O2: pure fp16
# O1: mixed fp16, O2: pure fp16
level: O2
# model architecture