tfx.dsl.components.base.executor_spec.ExecutorContainerSpec

A specification of a container.

Inherits From: ExecutorSpec

tfx.dsl.components.base.executor_spec.ExecutorContainerSpec(
    image: Text,
    command: List[Text] = None,
    args: List[Text] = None
)

The spec includes image, command line entrypoint and arguments for a container. For example:

spec = ExecutorContainerSpec( image='docker/whalesay', command=['cowsay'], args=['hello wolrd'])

Attributes
`image`	Container image that has executor application. Assumption is that this container image is separately release-managed, and tagged/versioned accordingly.
`command`	Container entrypoint array. Not executed within a shell. The docker image's ENTRYPOINT is used if this is not provided. The Jinja templating mechanism is used for constructing a user-specified command-line invocation based on input and output metadata at runtime.
`args`	Arguments to the container entrypoint. The docker image's CMD is used if this is not provided. The Jinja templating mechanism is used for constructing a user-specified command-line invocation based on input and output metadata at runtime.

Methods

encode(
    component_spec: Optional[tfx.types.ComponentSpec] = None
) -> message.Message

Encodes ExecutorSpec into an IR proto for compiling.

This method will be used by DSL compiler to generate the corresponding IR.

Args
`component_spec`	Optional. The ComponentSpec to help with the encoding.

Returns
An executor spec proto.

@classmethod
from_json_dict(
    dict_data: Dict[Text, Any]
) -> Any

Convert from dictionary data to an object.

to_json_dict() -> Dict[Text, Any]

Convert from an object to a JSON serializable dictionary.