Upload apex-master/tests/docker_extension_builds/run.sh with huggingface_hub

apex-master/tests/docker_extension_builds/run.sh

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+#!/bin/bash
+
+print_banner() {
+  printf "\n\n\n\e[30m\e[42m$1\e[0m\n\n\n\n"
+}
+
+print_green() {
+  printf "\e[30m\e[42m$1\e[0m\n"
+}
+
+print_red() {
+  printf "\e[30m\e[41m$1\e[0m\n"
+}
+
+images=(
+"pytorch/pytorch:nightly-devel-cuda10.0-cudnn7"
+"pytorch/pytorch:1.1.0-cuda10.0-cudnn7.5-devel"
+"pytorch/pytorch:1.0.1-cuda10.0-cudnn7-devel"
+"pytorch/pytorch:1.0-cuda10.0-cudnn7-devel"
+"pytorch/pytorch:nightly-devel-cuda9.2-cudnn7"
+)
+
+branch="master"
+
+# Associative array for exit codes
+declare -A exit_codes
+for image in images
+do
+  exit_codes[$image]="None"
+done
+
+for image in "${images[@]}"
+do
+  print_banner "$image"
+  set -x
+  docker pull $image
+  # Trying python setup.py install instead of pip install to ensure direct access to error codes.
+  # Maybe pip install would be ok too but this works.
+  docker run --runtime=nvidia --rm $image /bin/bash -c "yes | pip uninstall apex; yes | pip uninstall apex; git clone https://github.com/NVIDIA/apex.git; cd apex; git checkout $branch; set -e;  python setup.py install --cuda_ext --cpp_ext"
+  exit_code=$?
+  set +x
+  if [ $exit_code != 0 ]
+  then
+    print_red "Exit code: $exit_code"
+  else
+    print_green "Exit code: $exit_code"
+  fi
+  exit_codes[$image]=$exit_code
+done
+
+success=0
+for image in "${images[@]}"
+do
+  exit_code=${exit_codes[$image]}
+  if [ $exit_code != 0 ]
+  then
+    print_red "$image : $exit_code"
+    success=1
+  else
+    print_green "$image : $exit_code"
+  fi
+done
+
+if [ $success != 0 ]
+then
+  print_red "Overall status:  failure"
+else
+  print_green "Overall status:  success"
+fi
+
+exit $success