# Copyright (c) 2023, NVIDIA CORPORATION. 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 xgboost.federated as xgb_federated
from nvflare.app_opt.xgboost.histogram_based_v2.defs import Constant
from nvflare.app_opt.xgboost.histogram_based_v2.runners.xgb_runner import AppRunner
[docs]
class XGBServerRunner(AppRunner):
def __init__(self):
self._port = None
self._world_size = None
self._stopped = False
[docs]
def run(self, ctx: dict):
self._port = ctx.get(Constant.RUNNER_CTX_PORT)
self._world_size = ctx.get(Constant.RUNNER_CTX_WORLD_SIZE)
xgb_federated.run_federated_server(
n_workers=self._world_size,
port=self._port,
)
self._stopped = True
[docs]
def stop(self):
# no way to start currently
pass
[docs]
def is_stopped(self) -> (bool, int):
return self._stopped, 0