⬆️ Update for TensorFlow 2.5+2.6

README.md

@@ -13,13 +13,21 @@ Example output
 ==============
 ~~~
 % ./run-docker
-== tf1
+== tensorflow-gpu 1.15 nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04
-GPU 0: GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
+GPU 0: NVIDIA GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
-TensorFlow 1.15.3
+TensorFlow 1.15.0
 GPU available: True
-== tf2
+== tensorflow 2.4.3 nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04
-GPU 0: GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
+GPU 0: NVIDIA GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
-TensorFlow 2.3.0
+TensorFlow 2.4.3
+GPU available: True
+== tensorflow 2.5.1 nvidia/cuda:11.2.1-cudnn8-runtime-ubuntu18.04
+GPU 0: NVIDIA GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
+TensorFlow 2.5.1
+GPU available: True
+== tensorflow 2.6.0 nvidia/cuda:11.2.1-cudnn8-runtime-ubuntu18.04
+GPU 0: NVIDIA GeForce RTX 2080 (UUID: GPU-612ce75c-1340-772b-039c-2a83a3ea5c95)
+TensorFlow 2.6.0
 GPU available: True
 ~~~
 

run-docker

@@ -1,14 +1,27 @@
 #!/bin/sh
 set -e
 
-for tf in tf1 tf2; do
+for tensorflow_version in 1.15 2.4.3 2.5.1 2.6.0; do
-  echo "== $tf"
+
-  case "$tf" in
+  BASE_IMAGE=invalid
-    tf1) BASE_IMAGE=nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04;;
+  case "$tensorflow_version" in
-    tf2) BASE_IMAGE=nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04;;
+    1.15) BASE_IMAGE=nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04;;
+    2.4.3) BASE_IMAGE=nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04;;
+    2.5.1) BASE_IMAGE=nvidia/cuda:11.2.1-cudnn8-runtime-ubuntu18.04;;
+    2.6.0) BASE_IMAGE=nvidia/cuda:11.2.1-cudnn8-runtime-ubuntu18.04;;
   esac
+
+  # 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 "== $tensorflow_package $tensorflow_version $BASE_IMAGE"
   work_dir=`dirname $0`
-  image_id=`docker build -q --build-arg tf=$tf --build-arg BASE_IMAGE=$BASE_IMAGE -f assets/Dockerfile $work_dir`
+  image_id=`docker build -q --build-arg tensorflow_package=$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=1 $image_id
   docker rmi $image_id >/dev/null || true
 done