def testKerasModelPath(self):
# Create folders based on Keras based Trainer output model directory.
output_uri = os.path.join(self.get_temp_dir(), 'model_dir')
serving_model_path = os.path.join(output_uri, 'serving_model_dir')
tf.io.gfile.makedirs(serving_model_path)
# Test retrieving model folder.
self.assertEqual(serving_model_path,
path_utils.eval_model_path(output_uri))
self.assertEqual(serving_model_path,
path_utils.serving_model_path(output_uri))
self.assertTrue(
path_utils.get_serving_model_version(output_uri).isdigit())
def Do(self, input_dict: Dict[Text, List[types.Artifact]],
output_dict: Dict[Text, List[types.Artifact]],
exec_properties: Dict[Text, Any]) -> None:
"""Push model to target directory if blessed.
Args:
input_dict: Input dict from input key to a list of artifacts, including:
- model_export: exported model from trainer.
output_dict: Output dict from key to a list of artifacts, including:
- model_push: A list of 'ModelPushPath' artifact of size one. It will
include the model in this push execution if the model was pushed.
exec_properties: A dict of execution properties, including:
- push_destination: JSON string of pusher_pb2.PushDestination instance,
providing instruction of destination to push model.
Returns:
None
"""
self._log_startup(input_dict, output_dict, exec_properties)
model_push = artifact_utils.get_single_instance(
output_dict[PUSHED_MODEL_KEY])
model_push_uri = model_push.uri
model_export = artifact_utils.get_single_instance(input_dict[MODEL_KEY])
model_export_uri = model_export.uri
logging.info('Model pushing.')
# Copy the model to pushing uri.
model_path = path_utils.serving_model_path(model_export_uri)
model_version = path_utils.get_serving_model_version(model_export_uri)
logging.info('Model version is %s', model_version)
io_utils.copy_dir(model_path, os.path.join(model_push_uri, model_version))
logging.info('Model written to %s.', model_push_uri)
push_destination = pusher_pb2.PushDestination()
json_format.Parse(exec_properties['push_destination'], push_destination)
serving_path = os.path.join(push_destination.filesystem.base_directory,
model_version)
if tf.io.gfile.exists(serving_path):
logging.info(
'Destination directory %s already exists, skipping current push.',
serving_path)
else:
# tf.serving won't load partial model, it will retry until fully copied.
io_utils.copy_dir(model_path, serving_path)
logging.info('Model written to serving path %s.', serving_path)
model_push.set_int_custom_property('pushed', 1)
model_push.set_string_custom_property('pushed_model', model_export_uri)
model_push.set_int_custom_property('pushed_model_id', model_export.id)
logging.info('Model pushed to %s.', serving_path)
def testEstimatorModelPath(self):
# Create folders based on Estimator based Trainer output model directory.
output_uri = os.path.join(self.get_temp_dir(), 'model_dir')
eval_model_path = os.path.join(output_uri, 'eval_model_dir', 'MODEL')
tf.io.gfile.makedirs(eval_model_path)
serving_model_path = os.path.join(output_uri, 'serving_model_dir',
'export', 'taxi', '123')
tf.io.gfile.makedirs(serving_model_path)
# Test retrieving model folder.
self.assertEqual(eval_model_path,
path_utils.eval_model_path(output_uri))
self.assertEqual(serving_model_path,
path_utils.serving_model_path(output_uri))
self.assertEqual('123',
path_utils.get_serving_model_version(output_uri))
def Do(self, input_dict: Dict[Text, List[types.Artifact]],
output_dict: Dict[Text, List[types.Artifact]],
exec_properties: Dict[Text, Any]) -> None:
"""Push model to target directory if blessed.
Args:
input_dict: Input dict from input key to a list of artifacts, including:
- model_export: exported model from trainer.
- model_blessing: model blessing path from model_validator. A push
action delivers the model exports produced by Trainer to the
destination defined in component config.
output_dict: Output dict from key to a list of artifacts, including:
- model_push: A list of 'ModelPushPath' artifact of size one. It will
include the model in this push execution if the model was pushed.
exec_properties: A dict of execution properties, including:
- push_destination: JSON string of pusher_pb2.PushDestination instance,
providing instruction of destination to push model.
Returns:
None
"""
self._log_startup(input_dict, output_dict, exec_properties)
model_push = artifact_utils.get_single_instance(
output_dict[PUSHED_MODEL_KEY])
if not self.CheckBlessing(input_dict):
model_push.set_int_custom_property('pushed', 0)
return
model_push_uri = model_push.uri
model_export = artifact_utils.get_single_instance(input_dict[MODEL_KEY])
model_export_uri = model_export.uri
logging.info('Model pushing.')
# Copy the model to pushing uri.
model_path = path_utils.serving_model_path(model_export_uri)
model_version = path_utils.get_serving_model_version(model_export_uri)
logging.info('Model version is %s', model_version)
io_utils.copy_dir(model_path, os.path.join(model_push_uri, model_version))
logging.info('Model written to %s.', model_push_uri)
# Copied to a fixed outside path, which can be listened by model server.
#
# If model is already successfully copied to outside before, stop copying.
# This is because model validator might blessed same model twice (check
# mv driver) with different blessing output, we still want Pusher to
# handle the mv output again to keep metadata tracking, but no need to
# copy to outside path again..
# TODO(jyzhao): support rpc push and verification.
push_destination = pusher_pb2.PushDestination()
json_format.Parse(exec_properties['push_destination'], push_destination)
serving_path = os.path.join(push_destination.filesystem.base_directory,
model_version)
if tf.io.gfile.exists(serving_path):
logging.info(
'Destination directory %s already exists, skipping current push.',
serving_path)
else:
# tf.serving won't load partial model, it will retry until fully copied.
io_utils.copy_dir(model_path, serving_path)
logging.info('Model written to serving path %s.', serving_path)
model_push.set_int_custom_property('pushed', 1)
model_push.set_string_custom_property('pushed_model', model_export_uri)
model_push.set_int_custom_property('pushed_model_id', model_export.id)
logging.info('Model pushed to %s.', serving_path)
