root@ubuntu:/userdata/wyx/resnet# python3 test_resnet.py
[C][4514][05-03][14:00:54:756][configuration.cpp:51][EasyDNN]EasyDNN version: 0.3.5
[BPU_PLAT]BPU Platform Version(1.3.1)!
[HBRT] set log level as 0. version = 3.13.27
[DNN] Runtime version = 1.8.4_(3.13.27 HBRT)
[HorizonRT] The model builder version = 1.3.75
outputs[0].buffer: [[[[-4.5662675 ]]

  [[ 0.37700382]]

  [[ 4.341764  ]]

  [[-4.887858  ]]

  [[ 4.006122  ]]]]
outputs[0].buffer type: <class 'numpy.ndarray'>
outputs[0].buffer squeeze: [-4.5662675   0.37700382  4.341764   -4.887858    4.006122  ]
outputs: [[-4.5662675   0.37700382  4.341764   -4.887858    4.006122  ]]
========== Classification result ==========
cls id: 2
predict_probability: [[7.80226469e-05 1.09409775e-02 5.76672997e-01 5.65660353e-05
  4.12251437e-01]]
class: tulips   prob: 0.577
class: roses        prob: 7.8e-05
class: sunflowers   prob: 0.0109
class: tulips       prob: 0.577
class: daisy        prob: 5.66e-05
class: dandelion    prob: 0.412
【INFO】: Offload model "resnet34_224x224_rgb" Successfully.
