Naive Tensorflow/GPU1 question

[Kirthevasan Kandasamy]

No, I don't use iPython.

On Fri, May 12, 2017 at 11:22 AM, <chiragn at andrew.cmu.edu> wrote:

> Have you tried running it from with iPython notebook as an interactive
> session?
>
> I am doing that right now and it works.
>
> Chirag
>
>
> > Kirthevasan Kandasamy <kandasamy at cmu.edu> wrote:
> >
> >> Hi Predrag,
> >>
> >> I am re-running a tensorflow project on GPU1 - I haven't touched it in
> >> 4/5
> >> months, and the last time I ran it it worked fine, but when I try now I
> >> seem to be getting the following error.
> >>
> >
> > This is the first time I hear about it. I was under impression that GPU
> > nodes were usable.  I am redirecting your e-mail to users at autonlab.org
> > in the hope that somebody who is using TensorFlow on the regular basis
> > can be of more help.
> >
> > Predrag
> >
> >
> >
> >
> >> Can you please tell me what the issue might be or direct me to someone
> >> who
> >> might know?
> >>
> >> This is for the NIPS deadline, so I would appreciate a quick response.
> >>
> >> thanks,
>
> >> Samy
> >>
> >>
> >> I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0
> >> with
> >> properties:
> >> name: Tesla K80
> >> major: 3 minor: 7 memoryClockRate (GHz) 0.8235
> >> pciBusID 0000:05:00.0
> >> Total memory: 11.17GiB
> >> Free memory: 11.11GiB
> >> I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
> >> I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0:   Y
> >> I tensorflow/core/common_runtime/gpu/gpu_device.cc:838] Creating
> >> TensorFlow
> >> device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id:
> >> 0000:05:00.0)
> >> E tensorflow/stream_executor/cuda/cuda_dnn.cc:347] Loaded runtime CuDNN
> >> library: 4007 (compatibility version 4000) but source was compiled with
> >> 5103 (compatibility version 5100).  If using a binary install, upgrade
> >> your
> >> CuDNN library to match.  If building from sources, make sure the library
> >> loaded at runtime matches a compatible version specified during compile
> >> configuration.
> >> F tensorflow/core/kernels/conv_ops.cc:457] Check failed:
> >> stream->parent()->GetConvolveAlgorithms(&algorithms)
> >> run_resnet.sh: line 49: 22665 Aborted                 (core dumped)
> >> CUDA_VISIBLE_DEVICES=$GPU python ../resnettf/resnet_main.py --data_dir
> >> $DATA_DIR --max_batch_iters $NUM_ITERS --report_results_every
> >> $REPORT_RESULTS_EVERY --log_root $LOG_ROOT --dataset $DATASET --num_gpus
> >> 1
> >> --save_model_dir $SAVE_MODEL_DIR --save_model_every $SAVE_MODEL_EVERY
> >> --skip_add_method $SKIP_ADD_METHOD --architecture $ARCHITECTURE
> >> --skip_size
> >> $SKIP_SIZE
> >
>
>
>
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