[环境配置][原创]paddle.utils.run_check()的runtime api version和nvcc --version不一样

问题描述：

环境： ubuntu18.04 RTX3090 cuda11.1+cudnn8.2.1 我在终端输入 nvcc --version显示：

nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Mon_Oct_12_20:09:46_PDT_2020 Cuda compilation tools, release 11.1, V11.1.105 Build cuda_11.1.TC455_06.29190527_0

安装paddlpaddle-gpu==2.2.1或者2.2.0均有下面错误，仔细对比发现paddle.utils.run_check()的Runtime API Version: 10.2不知道是什么问题呢

import paddle pa>>> paddle.utils.run_check() Running verify PaddlePaddle program ... W0120 19:29:14.875797 20703 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 11.4, Runtime API Version: 10.2 W0120 19:29:14.891688 20703 device_context.cc:465] device: 0, cuDNN Version: 8.2. W0120 19:29:18.099985 20703 operator.cc:248] uniform_random raises an exception thrust::system::system_error, parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device Traceback (most recent call last): File "", line 1, in File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/utils/install_check.py", line 196, in run_check _run_static_single(use_cuda) File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/utils/install_check.py", line 124, in _run_static_single exe.run(startup_prog) File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1246, in run six.reraise(*sys.exc_info()) File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/six.py", line 719, in reraise raise value File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1234, in run return self._run_impl( File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1366, in _run_impl return self._run_program( File "/home/howso/Anaconda/envs/paddle/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1463, in _run_program self._default_executor.run(program.desc, scope, 0, True, True, RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device

解决方法：

这是由于RTX3090不兼容，使用post111即可

pip install paddlepaddle-gpu==2.2.1.post111 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html