values.yaml

exampleName: pytorch-detection-efficientdet

# registryName/registryPort are the hostname and port for the container
# registry, as seen from the kubernetes node context.
#
# It should be reachable so that kubernetes can use it to pull containers.
registryName: registry.local
registryPort: 31500

# internalRegistryName/internalRegistryPort are the hostname and port for the
# container registry, as seen from the Kubernetes pod context.
#
# These may be different from registryName/registryPort only if the registry
# is hosted within the cluster itself, such as in the default case of a local
# registry created by DeepOps.
internalRegistryName: docker-registry.deepops-docker
internalRegistryPort: 5000

# NodePort for accessing Jupyter notebooks launched by the Deep Learning
# Example you're launching. If you want to launch multiple examples
# simultaenously, you should ensure each is using a unique port.
jupyterNodePort: 30888

# Resource request for the Deep Learning Example Pod (by default, 1 GPU)
resources:
  limits:
    nvidia.com/gpu: 1