# Copyright (c) 2024, 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.
from typing import Tuple
from nvflare.app_opt.xgboost.histogram_based_v2.defs import Constant
from nvflare.app_opt.xgboost.histogram_based_v2.runner import XGBRunner
from nvflare.fuel.utils.import_utils import optional_import
[docs]class XGBServerRunner(XGBRunner):
def __init__(self):
self._stopped = True
[docs] def run(self, ctx: dict):
xgb_federated, flag = optional_import(module="xgboost.federated")
if not flag:
raise RuntimeError("Can't import xgboost.federated")
_port = ctx.get(Constant.RUNNER_CTX_PORT, None)
_world_size = ctx.get(Constant.RUNNER_CTX_WORLD_SIZE, None)
self._stopped = False
xgb_federated.run_federated_server(_world_size, _port)
self._stopped = True
[docs] def stop(self):
# currently no way to stop the runner
pass
[docs] def is_stopped(self) -> Tuple[bool, int]:
return self._stopped, 0