为什么Tensorflow 1.11.0返回CUDA_ERROR_NOT_SUPPORTED？
为什么Tensorflow 1.11.0返回CUDA_ERROR_NOT_SUPPORTED？
提问于 2018-11-15 00:19:47
我的机器是Ubuntu18.04.1 LTS，已经成功安装了CUDA。$nvcc --version的输出是
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176我有两个Tesla K80的GPU，命令nvidia-smi显示：
我还尝试使用来自./deviceQuery的NVIDIA_CUDA-9.0_Samples进行测试，其输出如下：
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 2 CUDA Capable device(s)`
...
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 9.0, NumDevs = 2
Result = PASS但是，一旦我从pip安装了Tensorflow GPU version 1.11.0，我就无法打开Tensorflow会话。
>>> import tensorflow as tf
>>> sess = tf.Session()它的产出是：
2018-11-15 00:13:46.593039: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/quoctin.phan/tools/anaconda/envs/tensorflow_1.11/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1511, in __init__
super(Session, self).__init__(target, graph, config=config)
File "/home/quoctin.phan/tools/anaconda/envs/tensorflow_1.11/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 634, in __init__
self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_NOT_SUPPORTED: operation not supported我尝试重新安装Tensorflow 1.12.0，但是没有什么改变。谢谢你的帮助。
回答 1
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原文链接：
https://stackoverflow.com/questions/53310724
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