wehub-resource-sync
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
# Copyright (c) 2019 PaddlePaddle Authors. 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 os
|
|
import sys
|
|
|
|
from paddle import base
|
|
|
|
|
|
def train(prefix):
|
|
if base.core.is_compiled_with_xpu():
|
|
selected_devices = os.getenv("FLAGS_selected_xpus")
|
|
else:
|
|
selected_devices = os.getenv("FLAGS_selected_gpus")
|
|
trainer_id = int(os.getenv("PADDLE_TRAINER_ID"))
|
|
worker_endpoints_env = os.getenv("PADDLE_TRAINER_ENDPOINTS")
|
|
current_endpoint = os.getenv("PADDLE_CURRENT_ENDPOINT")
|
|
worker_endpoints = worker_endpoints_env
|
|
trainers_num = len(worker_endpoints.split(','))
|
|
|
|
name = f"selected_devices:{selected_devices} worker_endpoints:{worker_endpoints} trainers_num:{trainers_num} current_endpoint:{current_endpoint} trainer_id:{trainer_id}"
|
|
|
|
print(name)
|
|
with open(f"{prefix}.check_{trainer_id}.log", "w") as f:
|
|
f.write(name)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
prefix = sys.argv[1]
|
|
train(prefix)
|