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53 lines
1.4 KiB
53 lines
1.4 KiB
===========================train_params=========================== |
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model_name:det:ppyolo |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=4 |
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--model_path:null |
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train_model_name:best_model |
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train_infer_file_list:./test_tipc/data/sarship/:./test_tipc/data/sarship/eval.txt |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train det --config ./test_tipc/configs/det/ppyolo/ppyolo.yaml |
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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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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,608,608] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--file_list:null:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:ppyolo |
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null:null |