我尝试在计算机上启动Tensorflow，但总是遇到“无法识别NUMA节点”错误消息。
我使用的是Conda环境：

• tensorflow -图形处理单元1.12.0
• 库达工具包9.0
• 客户7.1.2
• nvidia-smi说：驱动程序版本418.43，CUDA版本10.1

下面是错误代码：

>>> import tensorflow as tf
>>> tf.Session()
2019-04-04 09:56:59.851321: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-04-04 09:56:59.950066: E tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:950] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node
Your kernel may have been built without NUMA support.
2019-04-04 09:56:59.950762: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: 
name: GeForce GTX 750 Ti major: 5 minor: 0 memoryClockRate(GHz): 1.0845
pciBusID: 0000:01:00.0
totalMemory: 1.95GiB freeMemory: 1.84GiB
2019-04-04 09:56:59.950794: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-04-04 09:59:45.338767: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-04-04 09:59:45.338799: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0 
2019-04-04 09:59:45.338810: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N 
2019-04-04 09:59:45.339017: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1193] Could not identify NUMA node of platform GPU id 0, defaulting to 0.  Your kernel may not have been built with NUMA support.
terminate called after throwing an instance of 'std::bad_alloc'
  what():  std::bad_alloc

不幸的是，我不知道该怎么处理错误代码。