["/bin/sh" "-c" "if [ \"$RUN_CLI\" = \"1\" ]; then         /bin/bash;     else         /bin/bash $(get-microservice-script);     fi"]

cd /opt/nvidia/wheels &&
  ls ./*.whl | xargs -I'{}' python -m pip install '{}' &&
  rm -f *.whl &&
  ARCH_LIB_PATH="/usr/lib/$(uname -m)-linux-gnu" &&
  sed -i "s|export LD_LIBRARY_PATH=${ARCH_LIB_PATH}:\${LD_LIBRARY_PATH}|export LD_LIBRARY_PATH=\${LD_LIBRARY_PATH}:${ARCH_LIB_PATH}|g" /etc/bash.bashrc &&
  { find / -type d -name ".git" -exec rm -rf {} + 2>/dev/null; find / -type f -name ".git" -exec rm -f {} + 2>/dev/null; find / -type f -name ".gitignore" -exec rm -f {} + 2>/dev/null; find / -type d -name ".github" -exec rm -rf {} + 2>/dev/null; find / -type d -name ".gitlab" -exec rm -rf {} + 2>/dev/null; find / -type f -name ".gitlab-ci.yml" -exec rm -f {} + 2>/dev/null; find / -type f -name "gitlab-ci.yml" -exec rm -f {} + 2>/dev/null; true; }

RUN_CLI=0

FLASK_APP=nvidia_tao_core.microservices.app

8000/tcp

TAO_TELEMETRY_SERVER=https://api.tao.ngc.nvidia.com

CUBLAS_WORKSPACE_CONFIG=:4096:8

NVIDIA_TAO_TOOLKIT_VERSION=7.1.0-PyTorch

TAO_TOOLKIT_VERSION=7.1.0

NVIDIA_PRODUCT_NAME=TAO Toolkit