Source code for syne_tune.blackbox_repository.conversion_scripts.blackbox_recipe

# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file accompanying this file. This file is distributed
# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language governing
# permissions and limitations under the License.
import logging
from typing import Optional

from syne_tune.util import catchtime
from syne_tune.blackbox_repository.conversion_scripts.utils import (
    compute_hash_benchmark,
    blackbox_local_path,
)


[docs] class BlackboxRecipe: def __init__(self, name: str, cite_reference: str, hash: str = None): """ Parent class for a blackbox recipe that allows to generate the blackbox data on disk, see ``FCNETRecipe`` or ``LCBenchRecipe`` classes for example on how to add a new benchmark. :param name: name of the blackbox :param cite_reference: name of the paper to be referenced. A message is prompted when generating the blackbox to ask the user to cite the relevant paper. :param hash: pre-computed hash of all generated files. Hashes are stored as constants in the conversion_scripts. """ self.name = name self.hash = hash self.cite_reference = cite_reference
[docs] def generate(self, s3_root: Optional[str] = None): """ Generates the blackbox on disk then upload it on s3 if AWS is available. :param s3_root: s3 root where to upload to s3, default to s3://{sagemaker-bucket}/blackbox-repository. If AWS is not available, this step is skipped and the dataset is just persisted locally. :return: """ message = ( f"Generating {self.name} blackbox locally, if you use this dataset in a publication, please cite " f'the following paper: "{self.cite_reference}"' ) logging.info(message) self._generate_on_disk() hash = compute_hash_benchmark(blackbox_local_path(name=self.name)) logging.info( f"Hash of new generated benchmark: {hash}. If you send a PR, " f"replace SHA256_HASH in the conversion script with this new hash." ) with catchtime("uploading to s3"): from syne_tune.blackbox_repository.conversion_scripts.utils import ( upload_blackbox, ) upload_blackbox(name=self.name, s3_root=s3_root)
def _generate_on_disk(self): """ Method to be overloaded by the child class that should generate the blackbox on disk (handling the donwloading and reformatting of external files). :return: """ raise NotImplementedError()