paddle 2.0 运行失败
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(Xiayufeng01) vcis2@psdz:~$ nvidia-smi Thu Dec 24 10:50:31 2020 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 455.23.04 Driver Version: 455.23.04 CUDA Version: 11.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 GeForce RTX 3090 Off | 00000000:1A:00.0 Off | N/A | | 58% 57C P2 184W / 350W | 10263MiB / 24268MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 GeForce RTX 3090 Off | 00000000:68:00.0 Off | N/A | | 61% 59C P2 171W / 350W | 5445MiB / 24267MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 27678 C python 10261MiB | | 1 N/A N/A 27678 C python 5443MiB | +-----------------------------------------------------------------------------+ (Xiayufeng01) vcis2@psdz:~$ python Python 3.8.6 | packaged by conda-forge | (default, Dec 22 2020, 10:30:11) [GCC 9.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import paddle >>> print(paddle._version_) Traceback (most recent call last): File "", line 1, in AttributeError: module 'paddle' has no attribute '_version_' >>> print(paddle.__version__) 2.0.0-rc1 >>> paddle.utils.run_check() Running verify PaddlePaddle program ... W1224 10:51:20.485335 24655 device_context.cc:320] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 11.1, Runtime API Version: 10.1 W1224 10:51:20.489661 24655 device_context.cc:330] device: 0, cuDNN Version: 7.6. W1224 11:05:57.813853 24655 operator.cc:205] 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/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/utils/install_check.py", line 164, in run_check _run_static_single(use_cuda) File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/utils/install_check.py", line 96, in _run_static_single exe.run(startup_prog) File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1108, in run six.reraise(*sys.exc_info()) File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/six.py", line 703, in reraise raise value File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1096, in run return self._run_impl( File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1228, in _run_impl return self._run_program( File "/home/psdz/.conda/envs/Xiayufeng01/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1325, 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 >>>
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3090太新了,驱动还没适配= =
python -m pip install paddlepaddle-gpu==2.0.1.post110 -f https://paddlepaddle.org.cn/whl/mkl/stable.html
升级paddlepaddle-gpu版本能解决此问题。
哇这显卡
这简直是BUG,用最新的显卡只能用最新的cuda11,然后paddle1.8只支持到cuda10,然后paddle2.0运行老代码又有很多bug,属实醉了