30 lines
1.2 KiB
Bash
Executable file
30 lines
1.2 KiB
Bash
Executable file
#!/bin/sh
|
|
set -e
|
|
|
|
for tensorflow_version in 1.15 2.4.3 2.5.1 2.6.0; do
|
|
# Note: CUDA 11.0 only with CUDNN 8
|
|
for BASE_IMAGE in \
|
|
nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04 \
|
|
nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 \
|
|
nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04 \
|
|
nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04 \
|
|
nvidia/cuda:11.1-cudnn8-runtime-ubuntu18.04 \
|
|
nvidia/cuda:11.2.1-cudnn8-runtime-ubuntu18.04 \
|
|
; do
|
|
|
|
# According to the docs at https://www.tensorflow.org/install/gpu, we should
|
|
# use different package names depending on the major version of TF.
|
|
if echo $tensorflow_version | grep -q ^1; then
|
|
tensorflow_package=tensorflow-gpu
|
|
else
|
|
tensorflow_package=tensorflow
|
|
fi
|
|
|
|
|
|
echo -n "$tensorflow_package $tensorflow_version $BASE_IMAGE "
|
|
work_dir=`dirname $0`
|
|
image_id=`docker build -q --build-arg test_nvidia_options="--quiet" --build-arg tensorflow_package=$tensorflow_package --build-arg tensorflow_version=$tensorflow_version --build-arg BASE_IMAGE=$BASE_IMAGE -f assets/Dockerfile $work_dir`
|
|
docker run --gpus all -it --rm -e TF_CPP_MIN_LOG_LEVEL=2 $image_id
|
|
docker rmi $image_id >/dev/null || true
|
|
done
|
|
done
|