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Hvt #146

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merged 13 commits into from
Dec 28, 2021
Merged

Hvt #146

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d7cc943
add argument -output for image_classification
SigureMo Dec 24, 2021
3edc9c2
add missing world size for lr linear scale in main_multi_gpu
SigureMo Dec 24, 2021
76b0e3a
Code of HVT is released
jarygrace Dec 27, 2021
d08e5b7
Code of HVT is released
jarygrace Dec 27, 2021
893b69d
correct README
jarygrace Dec 27, 2021
03ae100
Merge pull request #143 from cattidea/add-arg-output
xperzy Dec 27, 2021
acf73ab
Merge pull request #144 from cattidea/add-missing-world-size
xperzy Dec 27, 2021
2fabdcb
correct code of HVT
jarygrace Dec 27, 2021
7bdb024
Modified code of HVT
jarygrace Dec 27, 2021
57b3466
Modified code of HVT
jarygrace Dec 27, 2021
f4c5a7b
Modified code of HVT
jarygrace Dec 27, 2021
adaeabd
Modified ReadME and some details of HVT
jarygrace Dec 27, 2021
b5f115a
Merge branch 'hvt' of github.com:BR-IDL/PaddleViT into hvt
jarygrace Dec 28, 2021
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2 changes: 2 additions & 0 deletions image_classification/BEiT/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -158,6 +158,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/BEiT/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
1 change: 1 addition & 0 deletions image_classification/BEiT/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/BoTNet/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -147,6 +147,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
7 changes: 4 additions & 3 deletions image_classification/BoTNet/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -361,11 +362,11 @@ def main_worker(*args):
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
if config.TRAIN.LINEAR_SCALED_LR is not None:
linear_scaled_lr = (
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_warmup_start_lr = (
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_end_lr = (
config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
Expand Down
1 change: 1 addition & 0 deletions image_classification/BoTNet/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/CSwin/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -162,6 +162,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
7 changes: 4 additions & 3 deletions image_classification/CSwin/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -368,9 +369,9 @@ def main_worker(*args):

# STEP 5: Define optimizer and lr_scheduler
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
linear_scaled_lr = (config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / 256.0
linear_scaled_warmup_start_lr = (config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / 256.0
linear_scaled_end_lr = (config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / 256.0
linear_scaled_lr = (config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / 256.0
linear_scaled_warmup_start_lr = (config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / 256.0
linear_scaled_end_lr = (config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / 256.0

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
Expand Down
1 change: 1 addition & 0 deletions image_classification/CSwin/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/CaiT/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -129,6 +129,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/CaiT/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,7 @@
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
1 change: 1 addition & 0 deletions image_classification/CaiT/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,7 @@
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/ConvMLP/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -159,6 +159,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
7 changes: 4 additions & 3 deletions image_classification/ConvMLP/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -369,11 +370,11 @@ def main_worker(*args):
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
if config.TRAIN.LINEAR_SCALED_LR is not None:
linear_scaled_lr = (
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_warmup_start_lr = (
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_end_lr = (
config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
Expand Down
1 change: 1 addition & 0 deletions image_classification/ConvMLP/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/ConvMixer/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -157,6 +157,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
7 changes: 4 additions & 3 deletions image_classification/ConvMixer/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -360,11 +361,11 @@ def main_worker(*args):
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
if config.TRAIN.LINEAR_SCALED_LR is not None:
linear_scaled_lr = (
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_warmup_start_lr = (
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_end_lr = (
config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
Expand Down
1 change: 1 addition & 0 deletions image_classification/ConvMixer/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/CrossViT/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -135,6 +135,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/CrossViT/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,7 @@
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
1 change: 1 addition & 0 deletions image_classification/CrossViT/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,7 @@
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/Cvt/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -160,6 +160,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
7 changes: 4 additions & 3 deletions image_classification/Cvt/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -355,11 +356,11 @@ def main_worker(*args):
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
if config.TRAIN.LINEAR_SCALED_LR is not None:
linear_scaled_lr = (
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_warmup_start_lr = (
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_end_lr = (
config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
Expand Down
1 change: 1 addition & 0 deletions image_classification/Cvt/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/CycleMLP/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -153,6 +153,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/CycleMLP/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
1 change: 1 addition & 0 deletions image_classification/CycleMLP/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
2 changes: 2 additions & 0 deletions image_classification/DeiT/config.py
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Expand Up @@ -167,6 +167,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/DeiT/main_eval_regnet_multi_gpu.py
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Expand Up @@ -38,6 +38,7 @@
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
7 changes: 4 additions & 3 deletions image_classification/DeiT/main_multi_gpu.py
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Expand Up @@ -49,6 +49,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down Expand Up @@ -395,11 +396,11 @@ def main_worker(*args):
# set lr according to batch size and world size (hacked from Swin official code and modified for CSwin)
if config.TRAIN.LINEAR_SCALED_LR is not None:
linear_scaled_lr = (
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_warmup_start_lr = (
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.WARMUP_START_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR
linear_scaled_end_lr = (
config.TRAIN.END_LR * config.DATA.BATCH_SIZE) / config.TRAIN.LINEAR_SCALED_LR
config.TRAIN.END_LR * config.DATA.BATCH_SIZE * world_size) / config.TRAIN.LINEAR_SCALED_LR

if config.TRAIN.ACCUM_ITER > 1:
linear_scaled_lr = linear_scaled_lr * config.TRAIN.ACCUM_ITER
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1 change: 1 addition & 0 deletions image_classification/DeiT/main_single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
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2 changes: 2 additions & 0 deletions image_classification/FF_Only/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -150,6 +150,8 @@ def update_config(config, args):
config.DATA.IMAGE_SIZE = args.image_size
if args.data_path:
config.DATA.DATA_PATH = args.data_path
if args.output is not None:
config.SAVE = args.output
if args.ngpus:
config.NGPUS = args.ngpus
if args.eval:
Expand Down
1 change: 1 addition & 0 deletions image_classification/FF_Only/main_multi_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
1 change: 1 addition & 0 deletions image_classification/FF_Only/main_single_gpu.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def get_arguments():
parser.add_argument('-batch_size', type=int, default=None)
parser.add_argument('-image_size', type=int, default=None)
parser.add_argument('-data_path', type=str, default=None)
parser.add_argument('-output', type=str, default=None)
parser.add_argument('-ngpus', type=int, default=None)
parser.add_argument('-pretrained', type=str, default=None)
parser.add_argument('-resume', type=str, default=None)
Expand Down
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