fix_amp
parent
0aa8452175
commit
da944891f6
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@ -4,7 +4,7 @@ python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:amp
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Global.epoch_num:lite_train_lite_infer=3|whole_train_whole_infer=50
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
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Global.pretrained_model:null
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@ -41,7 +41,7 @@ inference:tools/infer/predict_rec.py --rec_image_shape="3,48,320"
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--use_gpu:True|False
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:1|6
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--rec_batch_num:6
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--use_tensorrt:False
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--precision:fp32
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--rec_model_dir:
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@ -41,7 +41,7 @@ inference:tools/infer/predict_rec.py --rec_image_shape="3,48,320"
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--use_gpu:True|False
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:1|6
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--rec_batch_num:6
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--use_tensorrt:False
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--precision:fp32
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--rec_model_dir:
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@ -1,51 +0,0 @@
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===========================train_params===========================
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model_name:ocr_det
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python:python3.7
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gpu_list:xx.xx.xx.xx,yy.yy.yy.yy;0,1
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Global.use_gpu:True
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Global.auto_cast:fp32|amp
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=300
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:norm_train|pact_train|fpgm_train
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norm_train:tools/train.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
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pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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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
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:tools/export_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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fpgm_export:deploy/slim/prune/export_prune_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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distill_export:null
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export1:null
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export2:null
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inference_dir:null
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train_model:./inference/ch_ppocr_mobile_v2.0_det_train/best_accuracy
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infer_export:tools/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o
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infer_quant:False
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inference:tools/infer/predict_det.py
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--rec_batch_num:1
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--use_tensorrt:False|True
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--precision:fp32|fp16|int8
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--det_model_dir:
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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null:null
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--benchmark:True
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null:null
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@ -1,53 +0,0 @@
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===========================train_params===========================
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model_name:en_table_structure
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:amp
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Global.epoch_num:lite_train_lite_infer=3|whole_train_whole_infer=50
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
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Global.pretrained_model:./inference/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy
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train_model_name:latest
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train_infer_img_dir:./ppstructure/docs/table/table.jpg
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null:null
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##
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trainer:norm_train
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norm_train:tools/train.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o
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pact_train:null
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.checkpoints:
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norm_export:tools/export_model.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o
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quant_export:
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fpgm_export:
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distill_export:null
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export1:null
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export2:null
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##
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
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infer_export:null
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infer_quant:False
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inference:ppstructure/table/predict_table.py --det_model_dir=./inference/en_ppocr_mobile_v2.0_table_det_infer --rec_model_dir=./inference/en_ppocr_mobile_v2.0_table_rec_infer --rec_char_dict_path=./ppocr/utils/dict/table_dict.txt --table_char_dict_path=./ppocr/utils/dict/table_structure_dict.txt --image_dir=./ppstructure/docs/table/table.jpg --det_limit_side_len=736 --det_limit_type=min --output ./output/table
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--use_gpu:True|False
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:1
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--use_tensorrt:False
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--precision:fp32
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--table_model_dir:
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--image_dir:./ppstructure/docs/table/table.jpg
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null:null
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--benchmark:False
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null:null
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,488,488]}]
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