【发布时间】:2019-10-02 13:45:20
【问题描述】:
我正在使用srun 运行我的程序,但是它无法打印输出。
me@home:~$ srun -p K80q --gres=gpu:1 -N 1 python3 main.py
2019-05-15 19:56:43.305156: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-05-15 19:56:43.543516: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:85:00.0
totalMemory: 11.17GiB freeMemory: 11.10GiB
2019-05-15 19:56:43.543567: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0
2019-05-15 19:56:43.900189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-05-15 19:56:43.900248: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0
2019-05-15 19:56:43.900257: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N
2019-05-15 19:56:43.900619: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10761 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:85:00.0, compute capability: 3.7)
我只得到了上面的输出,它不能打印出我期望的信息。我该如何解决?
顺便定义一个测试代码
import tensorflow
if __name__ == '__main__':
for i in range(10):
print('Hello')
可以打印Hello 10次。
更新:
20 分钟后,它会输出一些我预期的信息。如何让它立即输出?
【问题讨论】:
标签: slurm