pycuda报错error invoking ‘nvcc --preprocess -arch sm_30....[Errno 2] No such file or directory: ‘nvcc‘_windows pycuda error invoking '/usr/local/cuda/bin

最近在新配置的环境下使用python编写GPU程序，在用到pycuda包下的函数时出现了如下错误：

File "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pycuda/compiler.py", line 50, in preprocess_source
    result, stdout, stderr = call_capture_output(cmdline, error_on_nonzero=False)
File "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pytools/prefork.py", line 197, in call_capture_output
    return forker[0].call_capture_output(cmdline, cwd, error_on_nonzero)
File "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pytools/prefork.py", line 54, in call_capture_output
    % ( " ".join(cmdline), e))
pytools.prefork.ExecError: error invoking 'nvcc --preprocess -arch sm_30 -I/home/ubuntu/anaconda3/lib/python3.5/site-packages/pycuda/cuda /tmp/tmpkpqwoaxf.cu --compiler-options -P': [Errno 2] No such file or directory: 'nvcc'
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检查了各种配置文件都没有问题，最终将nvcc的路径强行添加到Pycuda的compiler.py文件中的compile_plain()中，成功解决了这一错误：

def compile_plain(source, options, keep, nvcc, cache_dir, target="cubin"):
    from os.path import join

    assert target in ["cubin", "ptx", "fatbin"]
    nvcc = '/usr/local/cuda/bin/'+nvcc
    if cache_dir:
        checksum = _new_md5()
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以上解决方案参考自apache-spark – 在PySpark上使用Pycuda – 找不到nvcc