The Pusher component is used to push a validated model to a deployment target during model training or re-training. Before the deployment, Pusher relies on one or more blessings from other validation components to decide whether to push the model or not.
- Evaluator blesses the model if the new trained model is "good enough" to be pushed to production.
- (Optional but recommended) InfraValidator blesses the model if the model is mechanically servable in a production environment.
A Pusher component consumes a trained model in SavedModel format, and produces the same SavedModel, along with versioning metadata.
Using the Pusher Component
A Pusher pipeline component is typically very easy to deploy and requires little customization, since all of the work is done by the Pusher TFX component. Typical code looks like this:
pusher = Pusher(
model=trainer.outputs['model'],
model_blessing=evaluator.outputs['blessing'],
infra_blessing=infra_validator.outputs['blessing'],
push_destination=tfx.proto.PushDestination(
filesystem=tfx.proto.PushDestination.Filesystem(
base_directory=serving_model_dir)
)
)
Pushing a model produced from InfraValidator.
(From version 0.30.0)
InfraValidator can also produce InfraBlessing artifact containing a
model with warmup, and
Pusher can push it just like a Model artifact.
infra_validator = InfraValidator(
...,
# make_warmup=True will produce a model with warmup requests in its
# 'blessing' output.
request_spec=tfx.proto.RequestSpec(..., make_warmup=True)
)
pusher = Pusher(
# Push model from 'infra_blessing' input.
infra_blessing=infra_validator.outputs['blessing'],
push_destination=tfx.proto.PushDestination(...)
)
More details are available in the Pusher API reference.