2018-04-26 23:23:39.055431: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-04-26 23:23:39.176070: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-04-26 23:23:39.176518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] 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: 5.55GiB
2018-04-26 23:23:39.176533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0
2018-04-26 23:23:45.406506: E tensorflow/core/common_runtime/direct_session.cc:167] Internal: CUDA runtime implicit initialization on GPU:0 failed. Status: unknown error
Traceback (most recent call last):
File "demo.py", line 112, in
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 638, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
2018-04-26 23:23:39.055431: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2018-04-26 23:23:39.176070: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2018-04-26 23:23:39.176518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] 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: 5.55GiB 2018-04-26 23:23:39.176533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0 2018-04-26 23:23:45.406506: E tensorflow/core/common_runtime/direct_session.cc:167] Internal: CUDA runtime implicit initialization on GPU:0 failed. Status: unknown error Traceback (most recent call last): File "demo.py", line 112, in
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 638, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
Who can help me to solve this problem？ Thank you！