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体验新版 GitCode,发现更多精彩内容 >>
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36d7c351
编写于
11月 26, 2021
作者:
L
LDOUBLEV
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差异文件
fix prepare.sh
上级
255115de
变更
4
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4 changed file
with
8 addition
and
8 deletion
+8
-8
test_tipc/configs/ch_ppocr_mobile_V2.0_det_FPGM/train_infer_python.txt
...figs/ch_ppocr_mobile_V2.0_det_FPGM/train_infer_python.txt
+3
-3
test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt
...c/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt
+1
-1
test_tipc/configs/ch_ppocr_mobile_v2.0_det_PACT/train_infer_python.txt
...figs/ch_ppocr_mobile_v2.0_det_PACT/train_infer_python.txt
+3
-3
test_tipc/test_train_inference_python.sh
test_tipc/test_train_inference_python.sh
+1
-1
未找到文件。
test_tipc/configs/ch_ppocr_mobile_V2.0_det_FPGM/train_infer_python.txt
浏览文件 @
36d7c351
...
...
@@ -4,7 +4,7 @@ python:python3.7
gpu_list:0|0,1
Global.use_gpu:True|True
Global.auto_cast:null
Global.epoch_num:lite_train_lite_infer=
1
|whole_train_whole_infer=300
Global.epoch_num:lite_train_lite_infer=
5
|whole_train_whole_infer=300
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:null
...
...
@@ -15,7 +15,7 @@ null:null
trainer:fpgm_train
norm_train:null
pact_train:null
fpgm_train:deploy/slim/prune/sensitivity_anal.py -c
test_tipc/configs/ppocr_det_mobile/det_mv3_db
.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
fpgm_train:deploy/slim/prune/sensitivity_anal.py -c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0
.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
distill_train:null
null:null
null:null
...
...
@@ -29,7 +29,7 @@ Global.save_inference_dir:./output/
Global.pretrained_model:
norm_export:null
quant_export:null
fpgm_export:deploy/slim/prune/export_prune_model.py -c
test_tipc/configs/ppocr_det_mobile/det_mv3_db
.yml -o
fpgm_export:deploy/slim/prune/export_prune_model.py -c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0
.yml -o
distill_export:null
export1:null
export2:null
...
...
test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt
浏览文件 @
36d7c351
...
...
@@ -4,7 +4,7 @@ python:python3.7
gpu_list:0|0,1
Global.use_gpu:True|True
Global.auto_cast:null
Global.epoch_num:lite_train_lite_infer=
1
|whole_train_whole_infer=300
Global.epoch_num:lite_train_lite_infer=
5
|whole_train_whole_infer=300
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:null
...
...
test_tipc/configs/ch_ppocr_mobile_v2.0_det_PACT/train_infer_python.txt
浏览文件 @
36d7c351
...
...
@@ -4,7 +4,7 @@ python:python3.7
gpu_list:0|0,1
Global.use_gpu:True|True
Global.auto_cast:null
Global.epoch_num:lite_train_lite_infer=
1
|whole_train_whole_infer=300
Global.epoch_num:lite_train_lite_infer=
5
|whole_train_whole_infer=300
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:null
...
...
@@ -14,7 +14,7 @@ null:null
##
trainer:pact_train
norm_train:null
pact_train:deploy/slim/quantization/quant.py -c
test_tipc/configs/ppocr_det_mobile/det_mv3_db
.yml -o
pact_train:deploy/slim/quantization/quant.py -c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0
.yml -o
fpgm_train:null
distill_train:null
null:null
...
...
@@ -28,7 +28,7 @@ null:null
Global.save_inference_dir:./output/
Global.pretrained_model:
norm_export:null
quant_export:deploy/slim/quantization/export_model.py -c
test_tipc/configs/ppocr_det_mobile/det_mv3_db
.yml -o
quant_export:deploy/slim/quantization/export_model.py -c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0
.yml -o
fpgm_export:null
distill_export:null
export1:null
...
...
test_tipc/test_train_inference_python.sh
浏览文件 @
36d7c351
...
...
@@ -336,7 +336,7 @@ else
set_eval_pretrain
=
$(
func_set_params
"
${
pretrain_model_key
}
"
"
${
save_log
}
/
${
train_model_name
}
"
)
# save norm trained models to set pretrain for pact training and fpgm training
if
[
${
trainer
}
=
${
trainer_norm
}
]
&&
[
${
nodes
}
-le
1]
;
then
if
[
${
trainer
}
=
${
trainer_norm
}
]
&&
[
${
nodes
}
-le
1
]
;
then
load_norm_train_model
=
${
set_eval_pretrain
}
fi
# run eval
...
...
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