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| 环境列表如下:name: rk3566name: '3566' channels:
 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
 - defaults
 dependencies:
 - _libgcc_mutex=0.1=main
 - _openmp_mutex=4.5=1_gnu
 - argon2-cffi=20.1.0=py36h27cfd23_1
 - async_generator=1.10=py36h28b3542_0
 - attrs=21.2.0=pyhd3eb1b0_0
 - bleach=4.0.0=pyhd3eb1b0_0
 - ca-certificates=2021.7.5=h06a4308_1
 - certifi=2021.5.30=py36h06a4308_0
 - cffi=1.14.6=py36h400218f_0
 - dbus=1.13.18=hb2f20db_0
 - defusedxml=0.7.1=pyhd3eb1b0_0
 - entrypoints=0.3=py36_0
 - expat=2.4.1=h2531618_2
 - fontconfig=2.13.1=h6c09931_0
 - freetype=2.10.4=h5ab3b9f_0
 - glib=2.69.1=h5202010_0
 - gst-plugins-base=1.14.0=h8213a91_2
 - gstreamer=1.14.0=h28cd5cc_2
 - icu=58.2=he6710b0_3
 - importlib_metadata=4.6.4=hd3eb1b0_0
 - ipykernel=5.3.4=py36h5ca1d4c_0
 - ipython=6.1.0=py36_0
 - ipython_genutils=0.2.0=pyhd3eb1b0_1
 - ipywidgets=7.6.3=pyhd3eb1b0_1
 - jedi=0.18.0=py36h06a4308_1
 - jinja2=3.0.1=pyhd3eb1b0_0
 - jpeg=9b=h024ee3a_2
 - jsonschema=3.2.0=pyhd3eb1b0_2
 - jupyter=1.0.0=py36_7
 - jupyter_client=7.0.1=pyhd3eb1b0_0
 - jupyter_console=5.2.0=py36_0
 - jupyter_core=4.7.1=py36h06a4308_0
 - jupyterlab_pygments=0.1.2=py_0
 - jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
 - ld_impl_linux-64=2.35.1=h7274673_9
 - libffi=3.3=he6710b0_2
 - libgcc-ng=9.3.0=h5101ec6_17
 - libgomp=9.3.0=h5101ec6_17
 - libpng=1.6.37=hbc83047_0
 - libsodium=1.0.18=h7b6447c_0
 - libstdcxx-ng=9.3.0=hd4cf53a_17
 - libuuid=1.0.3=h1bed415_2
 - libxcb=1.14=h7b6447c_0
 - libxml2=2.9.12=h03d6c58_0
 - markupsafe=2.0.1=py36h27cfd23_0
 - mistune=0.8.4=py36h7b6447c_0
 - nbclient=0.5.3=pyhd3eb1b0_0
 - nbconvert=6.0.7=py36_0
 - nbformat=5.1.3=pyhd3eb1b0_0
 - ncurses=6.2=he6710b0_1
 - nest-asyncio=1.5.1=pyhd3eb1b0_0
 - notebook=6.4.3=py36h06a4308_0
 - openssl=1.1.1l=h7f8727e_0
 - packaging=21.0=pyhd3eb1b0_0
 - pandoc=2.12=h06a4308_0
 - pandocfilters=1.4.3=py36h06a4308_1
 - parso=0.8.2=pyhd3eb1b0_0
 - pcre=8.45=h295c915_0
 - pexpect=4.8.0=pyhd3eb1b0_3
 - pickleshare=0.7.5=pyhd3eb1b0_1003
 - pip=21.0.1=py36h06a4308_0
 - prometheus_client=0.11.0=pyhd3eb1b0_0
 - prompt_toolkit=1.0.15=py36_0
 - ptyprocess=0.7.0=pyhd3eb1b0_2
 - pycparser=2.20=py_2
 - pygments=2.10.0=pyhd3eb1b0_0
 - pyparsing=2.4.7=pyhd3eb1b0_0
 - pyqt=5.9.2=py36h05f1152_2
 - pyrsistent=0.17.3=py36h7b6447c_0
 - python=3.6.13=h12debd9_1
 - python-dateutil=2.8.2=pyhd3eb1b0_0
 - pyzmq=22.2.1=py36h295c915_1
 - qt=5.9.7=h5867ecd_1
 - qtconsole=5.1.0=pyhd3eb1b0_0
 - qtpy=1.10.0=pyhd3eb1b0_0
 - readline=8.1=h27cfd23_0
 - send2trash=1.5.0=pyhd3eb1b0_1
 - setuptools=52.0.0=py36h06a4308_0
 - simplegeneric=0.8.1=py36_2
 - sip=4.19.8=py36hf484d3e_0
 - six=1.16.0=pyhd3eb1b0_0
 - sqlite=3.36.0=hc218d9a_0
 - terminado=0.9.4=py36h06a4308_0
 - testpath=0.5.0=pyhd3eb1b0_0
 - tk=8.6.10=hbc83047_0
 - tornado=6.1=py36h27cfd23_0
 - traitlets=4.3.3=py36_0
 - typing_extensions=3.10.0.0=pyhca03da5_0
 - wcwidth=0.2.5=pyhd3eb1b0_0
 - webencodings=0.5.1=py36_1
 - wheel=0.37.0=pyhd3eb1b0_1
 - widgetsnbextension=3.5.1=py36_0
 - xz=5.2.5=h7b6447c_0
 - zeromq=4.3.4=h2531618_0
 - zipp=3.5.0=pyhd3eb1b0_0
 - zlib=1.2.11=h7b6447c_3
 - pip:
 - absl-py==0.13.0
 - amply==0.1.4
 - astor==0.8.1
 - cached-property==1.5.2
 - chardet==3.0.4
 - cycler==0.10.0
 - dataclasses==0.8
 - decorator==4.4.2
 - docutils==0.17.1
 - flatbuffers==2.0
 - future==0.18.2
 - gast==0.5.2
 - google-pasta==0.2.0
 - grpcio==1.40.0
 - h5py==3.1.0
 - idna==2.8
 - imageio==2.9.0
 - importlib-metadata==4.8.1
 - keras-applications==1.0.8
 - keras-preprocessing==1.1.2
 - kiwisolver==1.3.1
 - markdown==3.3.4
 - matplotlib==3.3.4
 - networkx==2.5.1
 - numpy==1.16.6
 - onnx==1.7.0
 - onnx-tf==1.5.0
 - onnxoptimizer==0.1.0
 - onnxruntime==1.6.0
 - opencv-python==4.4.0.46
 - pillow==8.0.1
 - protobuf==3.12.0
 - psutil==5.6.2
 - pulp==2.4
 - pywavelets==1.1.1
 - pyyaml==5.4.1
 - requests==2.21.0
 - rknn-toolkit2==1.1.0b1
 - ruamel-yaml==0.15.81
 - scikit-image==0.17.2
 - scipy==1.2.1
 - tensorboard==1.14.0
 - tensorflow==1.14.0
 - tensorflow-estimator==1.14.0
 - termcolor==1.1.0
 - tflite==2.3.0
 - tifffile==2020.9.3
 - torch==1.6.0
 - torchvision==0.7.0
 - tqdm==4.27.0
 - typing-extensions==3.10.0.2
 - urllib3==1.24.3
 - werkzeug==2.0.1
 - wrapt==1.12.1
 prefix: /home/white/anaconda3/envs/3566
 
 rknn-toolkit版本为rknn-toolkit2==1.1.0b1
 我的代码如下:
 onnx_model = './yolox.onnx'
 rknn_model = './yolox.rknn'
 input_size_list = [[1,3,416,416]]
 rknn = RKNN()
 rknn.config(mean_values=[256, 256, 256],std_values=[58.395,58.395,58.395])
 ret = rknn.load_onnx(model=onnx_model)
 ret = rknn.build(do_quantization=True,dataset='./dataset.txt')
 ret = rknn.export_rknn(rknn_model)
 print("down")
 
 输出信息为:
 Analysing : 100%|███████████████████████████████████████████████| 268/268 [00:00<00:00, 3452.82it/s]
 Quantizating : 100%|█████████████████████████████████████████████| 268/268 [00:02<00:00, 122.62it/s]
 I RKNN: librknnc version: 1.1.0b0 (8d7e25ad@2021-06-30T18:33:39)
 I RKNN: set log level to 0
 
 Process finished with exit code 136 (interrupted by signal 8: SIGFPE)
 
 并没有得到我预期的结果,并且没有报错信息,只有程序异常终止。请问这是为什么呢?
 
 
 
 
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