1.MxNet版本的LFFD需要安装CUDA10.1版本和CuDNN

若不满足会出现如下问题：

安装的CUDA版本太低或没有安装：

raceback (most recent call last):  File "configuration_10_320_20L_5scales_v2.py", line 17, in 
   
        import mxnet  File "/usr/local/lib/python3.6/dist-packages/mxnet/__init__.py", line 24, in 
    
         from .context import Context, current_context, cpu, gpu, cpu_pinned  File "/usr/local/lib/python3.6/dist-packages/mxnet/context.py", line 24, in 
     
          from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass  File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 213, in 
      
           _LIB = _load_lib()  File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 204, in _load_lib    lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)  File "/usr/lib/python3.6/ctypes/__init__.py", line 348, in __init__    self._handle = _dlopen(self._name, mode)OSError: libcudart.so.10.1: cannot open shared object file: No such file or directory

没有安装CuDNN:

terminate called after throwing an instance of 'dmlc::Error'  what():  [20:48:36] ../include/mshadow/./stream_gpu-inl.h:173: Check failed: err == CUDNN_STATUS_SUCCESS (4 vs. 0) : CUDNN_STATUS_INTERNAL_ERRORAborted (core dumped)

2.正确使用Python和正确安装MxNet版本

若已经正确安装CUDA和CUDNN，仍然出现：

terminate called after throwing an instance of 'dmlc::Error'  what():  [20:48:36] ../include/mshadow/./stream_gpu-inl.h:173: Check failed: err == CUDNN_STATUS_SUCCESS (4 vs. 0) : CUDNN_STATUS_INTERNAL_ERRORAborted (core dumped)

有两种可能：首先查看MxNet版本是否正确，再在configuration_10_560_25L_8scales_v1.py代码中将如下代码注释：

# add mxnet python path to path env if needmxnet_python_path = '/home/heyonghao/libs/incubator-mxnet/python'sys.path.append(mxnet_python_path)

我们只需要使用我们本地默认的Python就行。

3.正确安装OpenCV

如出现如下问题：

During handling of the above exception, another exception occurred:Traceback (most recent call last):  File "_ctypes/callbacks.c", line 234, in 'calling callback function'  File "/root/work/mxnet/python/mxnet/operator.py", line 1052, in backward_entry    print('Error in CustomOp.backward: %s' % traceback.format_exc())UnicodeEncodeError: 'ascii' codec can't encode characters in position 369-376: ordinal not in range(128)

说明OpenCV版本没有正确安装，删除旧版本之后安装如下版本：

pip install opencv-python==3.4.5.20

4.正确设置batch_size

遇到如下问题，很可能是batch_size设置的太大：

MXNetError: cudaMalloc retry failed: out of memory

可以设置batch_size=16

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