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使用pip和conda安装paddle2.1版本报错,报错信息如下:
已完成
#I41PPN
PaddlePaddle-Gardener
创建于
2021-07-21 11:09
[<b>源自github用户Fly-hub</b>](https://github.com/PaddlePaddle/Paddle/issues/34268): W0720 15:10:57.600003 10080 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 5.0, Driver API Version: 11.3, Runtime API Version: 10.2 W0720 15:10:57.650135 10080 dynamic_loader.cc:238] Note: [Recommend] copy cudnn into CUDA installation directory. For instance, download cudnn-10.0-windows10-x64-v7.6.5.32.zip from NVIDIA's official website, then, unzip it and copy it into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0 You should do this according to your CUDA installation directory and CUDNN version. Traceback (most recent call last): File "E:/workspace/source/fuxi/source/nlp/ernie/1.0/ernie-1.0.py", line 2, in <module> paddle.utils.run_check() File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\utils\install_check.py", line 196, in run_check _run_static_single(use_cuda) File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\utils\install_check.py", line 124, in _run_static_single exe.run(startup_prog) File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1110, in run six.reraise(*sys.exc_info()) File "E:\workspace\source\fuxi\venv\lib\site-packages\six.py", line 719, in reraise raise value File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1098, in run return self._run_impl( File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1231, in _run_impl return self._run_program( File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1328, in _run_program self._default_executor.run(program.desc, scope, 0, True, True, RuntimeError: (PreconditionNotMet) The third-party dynamic library (cudnn64_7.dll) that Paddle depends on is not configured correctly. (error code is 126) Suggestions: 1. Check if the third-party dynamic library (e.g. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed. 2. Configure third-party dynamic library environment variables as follows: - Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...` - Windows: set PATH by `set PATH=XXX; (at C:\home\workspace\Paddle_release3\paddle\fluid\platform\dynload\dynamic_loader.cc:265) Process finished with exit code 1 cuda和cudnn都安装了,还是报错,系统环境是win10,cuda10、11都试过了,还是不行。
[<b>源自github用户Fly-hub</b>](https://github.com/PaddlePaddle/Paddle/issues/34268): W0720 15:10:57.600003 10080 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 5.0, Driver API Version: 11.3, Runtime API Version: 10.2 W0720 15:10:57.650135 10080 dynamic_loader.cc:238] Note: [Recommend] copy cudnn into CUDA installation directory. For instance, download cudnn-10.0-windows10-x64-v7.6.5.32.zip from NVIDIA's official website, then, unzip it and copy it into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0 You should do this according to your CUDA installation directory and CUDNN version. Traceback (most recent call last): File "E:/workspace/source/fuxi/source/nlp/ernie/1.0/ernie-1.0.py", line 2, in <module> paddle.utils.run_check() File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\utils\install_check.py", line 196, in run_check _run_static_single(use_cuda) File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\utils\install_check.py", line 124, in _run_static_single exe.run(startup_prog) File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1110, in run six.reraise(*sys.exc_info()) File "E:\workspace\source\fuxi\venv\lib\site-packages\six.py", line 719, in reraise raise value File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1098, in run return self._run_impl( File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1231, in _run_impl return self._run_program( File "E:\workspace\source\fuxi\venv\lib\site-packages\paddle\fluid\executor.py", line 1328, in _run_program self._default_executor.run(program.desc, scope, 0, True, True, RuntimeError: (PreconditionNotMet) The third-party dynamic library (cudnn64_7.dll) that Paddle depends on is not configured correctly. (error code is 126) Suggestions: 1. Check if the third-party dynamic library (e.g. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed. 2. Configure third-party dynamic library environment variables as follows: - Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...` - Windows: set PATH by `set PATH=XXX; (at C:\home\workspace\Paddle_release3\paddle\fluid\platform\dynload\dynamic_loader.cc:265) Process finished with exit code 1 cuda和cudnn都安装了,还是报错,系统环境是win10,cuda10、11都试过了,还是不行。
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