/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/localCannot dlopen some G
我重新安装了整个需求,包括tensorflow-gpu,keras模块,甚至CUDA。keras-applications 1.0.8...
tensorflow-gpu/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen</em
tensorflow-gpu 1.13,我遇到了这个问题: 2021-02-03 13:16:00.755944: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open/stream_executor/platform&
我试过了几天前我使用了这个代码,但是从今天起它就不再起作用了。in _tensorflow_version(line) 40 Your notebook should be updated to use Tensorflow2.
---> 41 See the guide at https://www.tensorflow.org/guide/mi
Preparing to unpack libcudnn7_7.1.3.16-1+cuda9.1_amd64.deb ...Setting up libcudnn7 (7.1.3.16-1+cuda9.1) ...287624224 jan 16 2018 /usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudnn.so
我也尝试删除libcudnn,但我在第一次尝试重新安装之后就这样做了The foll
我在两台gpu机器上安装了tensorflow 1.4.1。安装后,用户会发送一条错误消息ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory有人能解释一下为什么他们要找不同版本的libcudnn.s
如果在tensorflow导出器之后导入OpenCV (cv2),我会得到一个ImportError。.I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcudnn.so locally
I tensorflow/strea
我在以下的中安装了tensorflow的GPU版本。问题是,我在开始一个会话时会有一个分割错误。也就是说,这个代码:sess = tf.InteractiveSession()(tesnsorflowenv)user@machine$ python testtensorflow.py
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDAlibcudn