pytorch-lightning

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# Copyright The Lightning AI team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import TYPE_CHECKING, List, Optional
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from lightning.app.core.queues import QueuingSystem
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from lightning.app.runners.backends import Backend
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from lightning.app.utilities.network import LightningClient
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if TYPE_CHECKING:
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    import lightning.app
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class CloudBackend(Backend):
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    def __init__(
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        self,
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        entrypoint_file,
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        queue_id: Optional[str] = None,
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        status_update_interval: Optional[int] = None,
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        client_max_tries: Optional[int] = None,
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    ):
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        super().__init__(entrypoint_file, queues=QueuingSystem.MULTIPROCESS, queue_id=queue_id)
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        self.client = LightningClient(max_tries=client_max_tries)
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    def create_work(self, app: "lightning.app.LightningApp", work: "lightning.app.LightningWork") -> None:
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        raise NotImplementedError
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    def update_work_statuses(self, works: List["lightning.app.LightningWork"]) -> None:
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        raise NotImplementedError
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    def stop_all_works(self, works: List["lightning.app.LightningWork"]) -> None:
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        raise NotImplementedError
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    def resolve_url(self, app, base_url: Optional[str] = None) -> None:
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        raise NotImplementedError
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    def stop_work(self, app: "lightning.app.LightningApp", work: "lightning.app.LightningWork") -> None:
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        raise NotImplementedError
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