Build tensorflow-gpu 1.12 from source. Run simple Tensorflow "hello world" program. Get error:

$ python
Python 2.7.15+ (default, Feb 3 2019, 13:13:16)
[GCC 8.2.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.

import tensorflow as tf
hello = tf.constant('Hello Tensorflow!')
sess = tf.Session()
2019-03-18 00:02:17.807344: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-03-18 00:02:17.808150: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: GeForce GTX 1060 major: 6 minor: 1 memoryClockRate(GHz): 1.6705
pciBusID: 0000:01:00.0
totalMemory: 5.93GiB freeMemory: 5.70GiB
2019-03-18 00:02:17.808191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1551, in init
super(Session, self).init(target, graph, config=config)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 676, in init
self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version