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Merge pull request #988 from littletomatodonkey/dev/fix_dim_cfg 

fix yaml
pull/992/head
Bin Lu 2021-06-29 19:16:29 +08:00 committed by GitHub
parent e744db271b 89229c6246
commit 501a179108
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GPG Key ID: 4AEE18F83AFDEB23
174 changed files with 166 additions and 175 deletions
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1
ppcls/configs/Cartoonface/ResNet50_icartoon.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: "./output/"
device: "gpu"
class_num: 5013
save_interval: 1
eval_mode: "retrieval"
eval_during_train: True

2
ppcls/configs/ImageNet/AlexNet/AlexNet.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: AlexNet
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA102.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA102
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA102x.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA102x
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA102x2.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA102x2
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA169.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA169
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA34.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA34
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA46_c.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA46_c
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA46x_c.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA46x_c
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA60.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA60
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA60x.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA60x
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DLA/DLA60x_c.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DLA60x_c
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DPN/DPN107.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DPN107
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DPN/DPN131.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DPN131
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DPN/DPN68.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DPN68
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DPN/DPN92.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DPN92
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DPN/DPN98.yaml
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@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DPN98
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml
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@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DarkNet53
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_AutoAugment.yaml
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@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_Baseline.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_Cutmix.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_Cutout.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_GridMask.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_HideAndSeek.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_Mixup.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_RandAugment.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DataAugment/ResNet50_RandomErasing.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_base_distilled_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_base_distilled_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_base_distilled_patch16_384.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_base_distilled_patch16_384
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_base_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_base_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_base_patch16_384.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_base_patch16_384
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_small_distilled_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_small_distilled_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_small_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_small_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_tiny_distilled_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_tiny_distilled_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DeiT/DeiT_tiny_patch16_224.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DeiT_tiny_patch16_224
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DenseNet/DenseNet121.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DenseNet121
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DenseNet/DenseNet161.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DenseNet161
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DenseNet/DenseNet169.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DenseNet169
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DenseNet/DenseNet201.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DenseNet201
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/DenseNet/DenseNet264.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: DenseNet264
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Distillation/mv3_large_x1_0_distill_mv3_small_x1_0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: "./output/"
device: "gpu"
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: "DistillationModel"
class_num: 1000
# if not null, its lengths should be same as models
pretrained_list:
# if not null, its lengths should be same as models

2
ppcls/configs/ImageNet/EfficientNet/EfficientNetB0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: EfficientNetB0
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: GhostNet_x0_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: GhostNet_x1_0
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: GhostNet_x1_3
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W18_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W18_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W30_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W30_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W32_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W32_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W40_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W40_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W44_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W44_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W48_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W48_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HRNet/HRNet_W64_C.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HRNet_W64_C
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HarDNet/HarDNet39_ds.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HarDNet39_ds
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HarDNet/HarDNet68.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HarDNet68
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HarDNet/HarDNet68_ds.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HarDNet68_ds
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/HarDNet/HarDNet85.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: HarDNet85
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Inception/GoogLeNet.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: GoogLeNet
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Inception/InceptionV3.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: InceptionV3
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Inception/InceptionV4.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: InceptionV4
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/LeViT/LeViT_128.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: LeViT_128
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/LeViT/LeViT_128S.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: LeViT_128S
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/LeViT/LeViT_192.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: LeViT_192
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/LeViT/LeViT_256.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: LeViT_256
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/LeViT/LeViT_384.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: LeViT_384
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV1/MobileNetV1.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
to_static: False
# model architecture
class_num: 1000
Arch:
name: MobileNetV1

2
ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_25.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV1_x0_25
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV1_x0_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_75.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV1_x0_75
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
to_static: False
# model architecture
class_num: 1000
Arch:
name: MobileNetV2

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_25.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV2_x0_25
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV2_x0_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_75.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV2_x0_75
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x1_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV2_x1_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x2_0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV2_x2_0
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_35.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_large_x0_35
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_large_x0_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_75.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_large_x0_75
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_large_x1_0
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_25.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_large_x1_25
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_35.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_small_x0_35
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_5.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_small_x0_5
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_75.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_small_x0_75
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_0.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_small_x1_0
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_25.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: MobileNetV3_small_x1_25
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/RedNet/RedNet101.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: RedNet101
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/RedNet/RedNet152.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: RedNet152
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/RedNet/RedNet26.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: RedNet26
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/RedNet/RedNet38.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: RedNet38
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/RedNet/RedNet50.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: RedNet50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Res2Net/Res2Net101_vd_26w_4s.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: Res2Net101_vd_26w_4s
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Res2Net/Res2Net200_vd_26w_4s.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: Res2Net200_vd_26w_4s
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Res2Net/Res2Net50_14w_8s.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: Res2Net50_14w_8s
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Res2Net/Res2Net50_26w_4s.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: Res2Net50_26w_4s
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/Res2Net/Res2Net50_vd_26w_4s.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: Res2Net50_vd_26w_4s
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeSt/ResNeSt101.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeSt101
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeSt/ResNeSt50.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeSt50
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeSt/ResNeSt50_fast_1s1x64d.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeSt50_fast_1s1x64d
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeXt/ResNeXt101_32x4d.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeXt101_32x4d
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeXt/ResNeXt101_64x4d.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeXt101_64x4d
class_num: 1000
# loss function config for traing/eval process
Loss:

2
ppcls/configs/ImageNet/ResNeXt/ResNeXt101_vd_32x4d.yaml
View File

@ -4,7 +4,6 @@ Global:
pretrained_model: null
output_dir: ./output/
device: gpu
class_num: 1000
save_interval: 1
eval_during_train: True
eval_interval: 1
@ -18,6 +17,7 @@ Global:
# model architecture
Arch:
name: ResNeXt101_vd_32x4d
class_num: 1000
# loss function config for traing/eval process
Loss:

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