tfx.extensions.google_cloud_ai_platform.bulk_inferrer.executor.Executor

Bulk inferer executor for inference on AI Platform.

Inherits From: Executor, BaseExecutor

tfx.extensions.google_cloud_ai_platform.bulk_inferrer.executor.Executor(
    context: Optional[tfx.dsl.components.base.base_executor.BaseExecutor.Context] = None
)

Child Classes

class Context

Methods

Do

View source

Do(
    input_dict: Dict[Text, List[types.Artifact]],
    output_dict: Dict[Text, List[types.Artifact]],
    exec_properties: Dict[Text, Any]
) -> None

Runs batch inference on a given model with given input examples.

This function creates a new model (if necessary) and a new model version before inference, and cleans up resources after inference. It provides re-executability as it cleans up (only) the model resources that are created during the process even inference job failed.

Args
input_dict	Input dict from input key to a list of Artifacts. examples: examples for inference. model: exported model. model_blessing: model blessing result
output_dict	Output dict from output key to a list of Artifacts. output: bulk inference results.
exec_properties	A dict of execution properties. data_spec: JSON string of bulk_inferrer_pb2.DataSpec instance. custom_config: custom_config.ai_platform_serving_args need to contain the serving job parameters sent to Google Cloud AI Platform. For the full set of parameters, refer to https://cloud.google.com/ml-engine/reference/rest/v1/projects.models

Returns
None