===========================train_params=========================== model_name:StyleGANv2 python:python3.7 gpu_list:0 ## auto_cast:null total_iters:lite_train_lite_infer=10|lite_train_whole_infer=10|whole_train_whole_infer=800 output_dir:./output/ dataset.train.batch_size:lite_train_lite_infer=3|whole_train_whole_infer=3 pretrained_model:null train_model_name:stylegan_v2_256_ffhq*/*checkpoint.pdparams train_infer_img_dir:null null:null ## trainer:norm_train norm_train:tools/main.py -c configs/stylegan_v2_256_ffhq.yaml --seed 123 -o dataset.train.num_workers=0 log_config.interval=1 snapshot_config.interval=10 pact_train:null fpgm_train:null distill_train:null null:null null:null ## ===========================eval_params=========================== eval:null null:null ## ===========================infer_params=========================== --output_dir:./output/ load:null norm_export:tools/export_model.py -c configs/stylegan_v2_256_ffhq.yaml --inputs_size="1,1,512;1,1" --model_name inference --load quant_export:null fpgm_export:null distill_export:null export1:null export2:null inference_dir:inference train_model:./inference/stylegan2/stylegan2model_gen infer_export:null infer_quant:False inference:tools/inference.py --model_type stylegan2 --seed 123 -c configs/stylegan_v2_256_ffhq.yaml --output_path test_tipc/output/ --device:gpu null:null null:null null:null null:null null:null --model_path: null:null null:null --benchmark:True null:null ===========================train_benchmark_params========================== batch_size:8 fp_items:fp32 epoch:100 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile flags:null ===========================infer_benchmark_params========================== random_infer_input:[{float32,[1,512]}, {float32,[1]}]