PP-Vehicle 跟踪检测，超轻量tiny模型如何训练？ about paddledetection HOT 2 OPEN

先确定下paddle安装的版本没问题

from paddledetection.

上面这个问题是因为预训练文件选错了。训练完后是可以使用的。
但是开启MKL加速推理的时候又报错了，请问是为什么？
DET model dir: output_inference/ppyoloe_plus_crn_t_auxhead_320_60e_ppvehicle/ppyoloe_plus_crn_t_auxhead_320_60e_ppvehicle/
MOT model dir: output_inference/ppyoloe_plus_crn_t_auxhead_320_60e_ppvehicle/ppyoloe_plus_crn_t_auxhead_320_60e_ppvehicle/
LANE_SEG model dir: /root/.cache/paddle/infer_weights/pp_lite_stdc2_bdd100k
----------- Model Configuration -----------
Model Arch: PPYOLOE
Transform Order:
--transform op: Resize
--transform op: NormalizeImage
--transform op: Permute

video fps: 29, frame_count: 856
Thread: 0; frame id: 0
Traceback (most recent call last):
File "deploy/pipeline/pipeline.py", line 1321, in
main()
File "deploy/pipeline/pipeline.py", line 1308, in main
pipeline.run_multithreads()
File "deploy/pipeline/pipeline.py", line 179, in run_multithreads
self.predictor.run(self.input)
File "deploy/pipeline/pipeline.py", line 533, in run
self.predict_video(input, thread_idx=thread_idx)
File "deploy/pipeline/pipeline.py", line 753, in predict_video
res = self.mot_predictor.predict_image(
File "/paddle/PaddleDetection/deploy/pptracking/python/mot_sde_infer.py", line 539, in predict_image
result = self.predict()
File "/paddle/PaddleDetection/deploy/pptracking/python/det_infer.py", line 167, in predict
self.predictor.run()
RuntimeError: could not create a primitive descriptor for a reorder primitive

from paddledetection.