tensorflow cpu问题

返回：

-- ::04.952328: I tensorflow/core/platform/cpu_feature_guard.cc:] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
-- ::05.050837: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:] successful NUMA node read from SysFS had negative value (-), but there must be at least one NUMA node, so returning NUMA node zero
-- ::05.051192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Found device  with properties:
name: GeForce GTX  Ti major:  minor:  memoryClockRate(GHz): 1.683
pciBusID: ::00.0
totalMemory: .91GiB freeMemory: .60GiB
-- ::05.051205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Adding visible gpu devices:
-- ::05.225183: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Device interconnect StreamExecutor with strength  edge matrix:
-- ::05.225212: I tensorflow/core/common_runtime/gpu/gpu_device.cc:]
-- ::05.225218: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] :   N
-- ::05.225364: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Created TensorFlow device (/job:localhost/replica:/task:/device:GPU: with  MB memory) -> physical GPU (device: , name: GeForce GTX  Ti, pci bus id: ::00.0, compute capability: 6.1) 

解决：

在代码中添加：

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