【发布时间】：2017-08-23 09:51:46
【问题描述】：
我使用nohup 在后台运行我的Keras, Tensorflow 程序。
这就是我运行程序的方式：
>> nohup python my_program.py &> log.txt &
但是当我打开log.txt一段时间后，它只包含：
nohup: ignoring input
2017-08-23 09:44:54.100172: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-23 09:44:54.100212: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-23 09:44:54.100219: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-08-23 09:44:54.228996: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-08-23 09:44:54.229641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: Tesla K80
major: 3 minor: 7 memoryClockRate (GHz) 0.8235
pciBusID 0000:00:04.0
Total memory: 11.17GiB
Free memory: 11.09GiB
2017-08-23 09:44:54.229661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2017-08-23 09:44:54.229667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2017-08-23 09:44:54.229675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0)
我希望这个文件包含我程序的所有输出，包括print()。
我该怎么做？
OS : Linux Ubuntu 16.04
【问题讨论】：
-
你真的对日志感兴趣，还是对程序结果感兴趣（例如训练/验证准确性的进度等）？
标签： linux tensorflow terminal keras