@vchung
Submission ID: 9716345
submission ID: 9716365
I did not find any thread useful. Running on my local machine but not scoring after getting submitted.
Please help!
Created by Virendra Yadav Virendra @Virendra ,
Great! Happy to hear it :) @vchung
Thank you! so much for your help. Finally we got our submission scored. @Virendra ,
Thank you for providing more details. I just tried running your model locally with CPU only on a machine with the exact specs as the submission system, and received the following:
```
$ docker run --network none \
-v $PWD/BraTS2021_00001:/input:ro \
-v $PWD/output:/output:rw \
docker.synapse.org/syn26034946/medimg_lab3@sha256:3af12350d8ddc14c8dcbb48a9d6162e59760c10c2d505ae0f96cdb9bd0215d19
2021-09-24 21:14:16.838344: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-09-24 21:14:16.838411: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-09-24 21:14:18.452555: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2021-09-24 21:14:18.452627: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2021-09-24 21:14:18.452697: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:163] no NVIDIA GPU device is present: /dev/nvidia0 does not exist
2021-09-24 21:14:18.452998: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
Good to go
```
Looking at the mounted output folder, I do not currently see a generated file for case 00001:
```
$ ll output/
total 0
``` Thank you for the reply, but in the instructions, it is mentioned that the container can be run locally by using Cpu only by:
docker run -it --rm --name your_container_name -v "/your/input/folder/":"/input" -v "/your/output/folder/":"/output" your_application_name
We successfully ran our container locally using CPU only and thought that the inferencing from your side will be done on CPU only, as we ran the container locally without using any GPUs.
Any help would be appreciated.
Thanks @Virendra ,
Looking at the [log file](https://www.synapse.org/#!Synapse:syn26242591) for submission 9716365, an error was encountered in relation to there not being a NVIDIA GPU device. However, we do specify a GPU (with `runtime=nvidia`) when running your Docker containers:
```
docker run --rm \
--network none \
--runtime="nvidia" \
-v /path/to/input:/input:ro \
-v /path/to/output:/output:rw \
{docker image}
```
A fellow participant has suggested a fix [here](https://www.synapse.org/#!Synapse:syn25829067/discussion/threadId=8379&replyId=25879); perhaps this can help? Hi @Virendra ,
I am looking into your submissions (9716345, 9716365) now. I will get back to you with more information asap.