python:{LOCAL_PYTHON_VERSION}-slim-bookworm
with LOCAL_PYTHON_VERSION
being Python version from the current Python environment.
Functions can depend on any Python or system packages installed into their container images. We provide declarative APIs
to define function container images with the dependencies. When you deploy a graph, the function container images
are automatically built as part of the deploy process.
Images
Specify the commands to install dependencies in the image used to run functions. You can choose any base image, and install any system or python dependencies. An image can be used to run multiple functions.Step 1: Define the Image
Image
object and specify the name of the image. We then run commands to install the dependencies.
You can use any base image, the default being python:{LOCAL_PYTHON_VERSION}-slim-bookworm
.
Step 2: Use the Image in a Function
image
object. This tells Tensorlake to run the function in the specified image.