# 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 uuid
from nvflare.apis.fl_context import FLContext
from nvflare.app_opt.xgboost.histogram_based_v2.adaptors.grpc_client_adaptor import GrpcClientAdaptor
from nvflare.app_opt.xgboost.histogram_based_v2.runners.xgb_client_runner import XGBClientRunner
from .executor import XGBExecutor
from .sec.client_handler import ClientSecurityHandler
[docs]
class FedXGBHistogramExecutor(XGBExecutor):
def __init__(
self,
data_loader_id: str,
per_msg_timeout=60.0,
tx_timeout=600.0,
model_file_name="model.json",
metrics_writer_id: str = None,
in_process=True,
):
XGBExecutor.__init__(
self,
adaptor_component_id="",
per_msg_timeout=per_msg_timeout,
tx_timeout=tx_timeout,
)
self.data_loader_id = data_loader_id
# do not let use specify int_server_grpc_options in this version - always use default
self.int_server_grpc_options = None
self.model_file_name = model_file_name
self.metrics_writer_id = metrics_writer_id
self.in_process = in_process
[docs]
def get_adaptor(self, fl_ctx: FLContext):
engine = fl_ctx.get_engine()
handler = ClientSecurityHandler()
engine.add_component(str(uuid.uuid4()), handler)
runner = XGBClientRunner(
data_loader_id=self.data_loader_id,
model_file_name=self.model_file_name,
metrics_writer_id=self.metrics_writer_id,
)
runner.initialize(fl_ctx)
adaptor = GrpcClientAdaptor(
int_server_grpc_options=self.int_server_grpc_options,
in_process=self.in_process,
per_msg_timeout=self.per_msg_timeout,
tx_timeout=self.tx_timeout,
)
adaptor.set_runner(runner)
return adaptor