Here are the steps to install mmcv-full in a SageMaker inference endpoint:
- Create a new SageMaker notebook instance or use an existing one.
- Open a Jupyter notebook and create a new terminal.
- Use the following command to install mmcv-full:
!pip install mmcv-full
- Once the installation is complete, create a new SageMaker endpoint.
- In the SageMaker endpoint configuration, choose the instance type as ml.g4dn.xlarge or a higher instance type, as mmcv-full requires a GPU instance.
- In the "Advanced configuration" section of the endpoint configuration, add the following code to the "Start notebook and/or run a script" field:
import subprocess
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
install('mmcv-full')
- Save and deploy the SageMaker endpoint.
- You can now use mmcv-full in the inference code of your endpoint.