fix ci and output

test/ocr_det_params.txt

@@ -1,7 +1,7 @@
 model_name:ocr_det
 python:python3.7
-gpu_list:-1|0|0,1
-Global.auto_cast:False|True
+gpu_list:0
+Global.auto_cast:False
 Global.epoch_num:10
 Global.save_model_dir:./output/
 Global.save_inference_dir:./output/
@@ -9,7 +9,7 @@ Train.loader.batch_size_per_card:
 Global.use_gpu
 Global.pretrained_model
 
-trainer:norm|pact|fpgm
+trainer:norm|pact
 norm_train:tools/train.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
 quant_train:deploy/slim/quantization/quant.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
 fpgm_train:null

tools/infer/predict_det.py

@@ -106,7 +106,7 @@ class TextDetector(object):
                 model_precision=args.precision,
                 batch_size=1,
                 data_shape="dynamic",
-                save_path="./output/auto_log.lpg",
+                save_path=args.save_log_path,
                 inference_config=self.config,
                 pids=pid,
                 process_name=None,
@@ -265,4 +265,3 @@ if __name__ == "__main__":
 
     if args.benchmark:
         text_detector.autolog.report()
-