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54 lines
1.6 KiB
Plaintext
54 lines
1.6 KiB
Plaintext
===========================train_params===========================
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model_name:sr_telescope
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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:null
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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=16|whole_train_whole_infer=16
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./inference/rec_inference
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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/sr_telescope/sr_telescope.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/sr_telescope/sr_telescope.yml -o
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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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##
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train_model:./inference/sr_telescope_train/best_accuracy
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infer_export:tools/export_model.py -c test_tipc/configs/sr_telescope/sr_telescope.yml -o
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infer_quant:False
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inference:tools/infer/predict_sr.py --sr_image_shape="1,32,128" --rec_algorithm="Telescope" --min_subgraph_size=5
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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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--sr_model_dir:
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--image_dir:./inference/rec_inference
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--save_log_path:./test/output/
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--benchmark:True
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null:null
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[1,32,128]}]
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