tensorflow-gpu2.1.0报错 so returning NUMA node zero解决办法
>>> print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
2020-06-06 10:14:08.927485: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-06-06 10:14:08.950893: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2793605000 Hz
2020-06-06 10:14:08.951424: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x562e7913f720 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-06-06 10:14:08.951449: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-06-06 10:14:08.953797: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-06-06 10:14:09.223937: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.224406: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x562e792142e0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-06-06 10:14:09.224427: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce GTX 950M, Compute Capability 5.0
2020-06-06 10:14:09.224580: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.224939: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 950M computeCapability: 5.0
coreClock: 1.124GHz coreCount: 5 deviceMemorySize: 3.95GiB deviceMemoryBandwidth: 26.82GiB/s
2020-06-06 10:14:09.225192: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-06-06 10:14:09.227247: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-06-06 10:14:09.228516: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-06-06 10:14:09.228872: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-06-06 10:14:09.230221: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-06-06 10:14:09.231062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-06-06 10:14:09.233700: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-06-06 10:14:09.233878: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.234374: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.234811: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-06-06 10:14:09.263649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-06-06 10:14:09.286790: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-06-06 10:14:09.287059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
2020-06-06 10:14:09.287107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
2020-06-06 10:14:09.303423: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.303947: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-06-06 10:14:09.304356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/device:GPU:0 with 3708 MB memory) -> physical GPU (device: 0, name: GeForce GTX 950M, pci bus id: 0000:01:00.0, compute capability: 5.0)
Default GPU Device: /device:GPU:0
解决办法：
在代码中添加一下两行
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
