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complete amp args

pull/2526/head
gaotingquan 2023-05-29 09:14:57 +00:00 committed by Tingquan Gao
parent b3f7e3b974
commit 09817fe859
34 changed files with 102 additions and 0 deletions
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3
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_dml.yaml
View File

@ -15,8 +15,11 @@ Global:
save_inference_dir: ./inference
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_ssld.yaml
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@ -16,8 +16,11 @@ Global:
to_static: True
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/Distillation/PPLCNet_x2_5_udml.yaml
View File

@ -15,8 +15,11 @@ Global:
save_inference_dir: ./inference
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/Distillation/res2net200_vd_distill_pphgnet_base.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/EfficientNetV2/EfficientNetV2_S.yaml
View File

@ -16,8 +16,11 @@ Global:
save_inference_dir: ./inference
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_0_ampo2_ultra.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O2

3
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x0_5.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x1_0.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x1_5.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV2/MobileViTV2_x2_0.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_S.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_S_L2.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XS.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XS_L2.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XXS.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_XXS_L2.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x0_5.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x0_75.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/MobileViTV3/MobileViTV3_x1_0.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 65536
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_base_224.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_base_384.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_large_224.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_large_384.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_small_224.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/NextViT/NextViT_small_384.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/PPHGNet/PPHGNet_base.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/PPHGNet/PPHGNet_small.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/PPHGNet/PPHGNet_tiny.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/PPLCNet/PPLCNet_x1_0_ampo2_ultra.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O2

3
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O1.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O1_ultra.yaml
View File

@ -20,8 +20,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O1

3
ppcls/configs/ImageNet/ResNet/ResNet50_amp_O2_ultra.yaml
View File

@ -20,8 +20,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O2

3
ppcls/configs/ImageNet/ResNet/ResNet50_ampo2_ultra.yaml
View File

@ -19,8 +19,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O2

3
ppcls/configs/ImageNet/SENet/SE_ResNeXt101_32x4d_amp_O2_ultra.yaml
View File

@ -17,8 +17,11 @@ Global:
# mixed precision training
AMP:
use_amp: True
use_fp16_test: False
scale_loss: 128.0
use_dynamic_loss_scaling: True
use_promote: False
# O1: mixed fp16, O2: pure fp16
level: O2