52 lines
1.9 KiB
Plaintext
52 lines
1.9 KiB
Plaintext
===========================train_params===========================
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model_name:MobileNetV3_large_x1_0
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python:python3.7
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gpu_list:0|0,1
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-o Global.device:gpu
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-o Global.auto_cast:null
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-o Global.epochs:lite_train_infer=2|whole_train_infer=120
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-o Global.output_dir:./output/
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-o DataLoader.Train.sampler.batch_size:8
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-o Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./dataset/ILSVRC2012/val
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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 ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml
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pact_train:deploy/slim/slim.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_quantization.yaml
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fpgm_train:deploy/slim/slim.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_prune.yaml
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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:tools/eval.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml
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null:null
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##
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===========================infer_params==========================
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-o Global.save_inference_dir:./inference
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-o Global.pretrained_model:
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norm_export:tools/export_model.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml
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quant_export:deploy/slim/slim.py -m export -c ppcls/configs/slim/MobileNetV3_large_x1_0_quantalization.yaml
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fpgm_export:deploy/slim/slim.py -m export -c ppcls/configs/slim/MobileNetV3_large_x1_0_prune.yaml
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distill_export:null
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export1:null
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export2:null
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inference_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/whole_chain/MobileNetV3_large_x1_0_inference.tar
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infer_model:../inference/
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infer_export:null
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infer_quant:Fasle
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inference:python/predict_cls.py -c configs/inference_cls.yaml
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-o Global.use_gpu:True|False
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-o Global.enable_mkldnn:True|False
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-o Global.cpu_num_threads:1|6
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-o Global.batch_size:1
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-o Global.use_tensorrt:True|False
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-o Global.use_fp16:True|False
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-o Global.inference_model_dir:../inference
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-o Global.infer_imgs:../dataset/ILSVRC2012/val
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-o Global.save_log_path:null
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-o Global.benchmark:True
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null:null
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