tfx.dsl.components.base.executor_spec.ExecutorContainerSpec

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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

copy

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copy() -> "ExecutorSpec"

Makes a copy of the ExecutorSpec.

An abstract method to implement to make a copy of the ExecutorSpec instance. Deepcopy is preferred in the implementation. But if for any reason a deepcopy is not able to be made because of some fields are not deepcopyable, it is OK to make a shallow copy as long as the subfield is consider globally immutable.

Returns
A copy of ExecutorSpec.

encode

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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.

from_json_dict

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

Convert from dictionary data to an object.

to_json_dict

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to_json_dict() -> Dict[Text, Any]

Convert from an object to a JSON serializable dictionary.