#  Copyright (c) maiot GmbH 2020. 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.
#  You may obtain a copy of the License at:
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License 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 importlib.util

from zenml.core.steps.trainer.base_trainer import BaseTrainerStep
from zenml.utils.logger import get_logger

logger = get_logger(__name__)

spec = importlib.util.find_spec('torch')
if spec is None:
    logger.error("torch integration not installed. Please install "
                 "zenml[torch] via `pip install zenml[pytorch]`")


class TorchBaseTrainerStep(BaseTrainerStep):
    pass
