【8.1】tensorflow报错

报错1:

Your CPU supports instructions that this TensorFlow binary was not compiled to use

解决办法为：

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

报错2：

2017-06-16 13:53:53.632070: W tensorflow/stream_executor/cuda/cuda_driver.cc:523] A non-primary context 0x3f287f0 exists before initializing the StreamExecutor. We haven't verified StreamExecutor works with that.
2017-06-16 13:53:53.632367: E tensorflow/core/common_runtime/direct_session.cc:138] Internal: failed initializing StreamExecutor for CUDA device ordinal 1: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_INVALID_DEVICE
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/zw/jy/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1292, in __init__
    super(Session, self).__init__(target, graph, config=config)
  File "/home/zw/jy/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 562, in __init__
    self._session = tf_session.TF_NewDeprecatedSession(opts, status)
  File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/home/zw/jy/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.

---------------------

原因： 因为有其他的程序使用GPU，tensorflow一下子不知道用哪个GPU了

解决方法：

方法1 在python程序中

os.environ["CUDA_DEVICE_ORDER"] = 'PCI_BUS_ID'
os.environ["CUDA_VISIBLE_DEVICES"] = '0,1,2,3,4'  # 显示让哪几个GPU被发现，可以通过nvis
config = tf.ConfigProto()
config.gpu_options.allow_growth = True

方法2 运行时

CUDA_VISIBLE_DEVICES=1 python **.py

方法3 直接在环境变量中 export

参考资料

https://blog.csdn.net/CliuGeek/article/details/78836598