Hello All,
I am trying to run on our GPU cluster using Singularity 2.4:
singularity exec --nv docker://tensorflow/tensorflow:latest-gpu python ./models/tutorials/image/mnist/convolutional.py
It runs fine on my laptop, but not on the cluster:
===========
Docker image path: index.docker.io/tensorflow/tensorflow:latest-gpu
Cache folder set to /home/ivy2/.singularity/docker
[19/19] |===================================| 100.0%
Creating container runtime...
tar: usr/local/cuda-8.0/.wh..wh..opq: implausibly old time stamp 1969-12-31 18:00:00
tar: usr/share/doc/cuda-cublas-8-0/.wh..wh..opq: implausibly old time stamp 1969-12-31 18:00:00
tar: usr/share/doc/cuda-cudart-8-0/.wh..wh..opq: implausibly old time stamp 1969-12-31 18:00:00
... pciBusID 0000:09:00.0
Total memory: 11.17GiB
Free memory: 11.10GiB
2017-10-24 19:50:42.953324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2017-10-24 19:50:42.953396: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y
2017-10-24 19:50:42.953466: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:09:00.0)
Killed
===========
My laptop does not complain about "old time stamp".
Any ideas?
Thank you,
Igor