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120 lines
3.8 KiB
120 lines
3.8 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import os
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import json
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import paddle
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from paddle.distributed.fleet.launch_utils import get_cluster, logger, get_host_name_ip, DeviceMode
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def _get_ascend_rankfile(rank_table_file_path):
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"""
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Args:
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rank_table_file_path: ascend npu rank file json
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{
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"status": "completed",
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"version": "1.0",
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"server_count": "2",
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"server_list": [
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{
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"server_id": "192.168.24.217",
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"device": [
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{
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"device_id": "0",
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"device_ip": "192.1.184.23",
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"rank_id": "0"
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},
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{
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"device_id": "1",
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"device_ip": "192.2.21.93",
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"rank_id": "1"
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}
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]
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},
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{
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"server_id": "192.168.26.177",
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"device": [
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{
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"device_id": "0",
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"device_ip": "192.1.94.132",
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"rank_id": "2"
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},
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{
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"device_id": "1",
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"device_ip": "192.2.94.30",
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"rank_id": "3"
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}
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]
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}
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]
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}
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Returns:
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node_ips: node ip list
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device_count: number of npu per machine
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"""
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json_data = None
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with open(rank_table_file_path) as json_file:
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json_data = json.load(json_file)
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node_ips = []
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device_count = 0
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server_list = json_data['server_list']
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for server in server_list:
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node_ips.append(server['server_id'])
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device_list = server['device']
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device_count = len(device_list)
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return node_ips, device_count
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def get_cloud_cluster(rank_table_file=None,
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device_mode=DeviceMode.ASCEND_NPU,
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start_port=6070):
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"""
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Args:
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rank_table_file: string, ascend npu rank file path
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device_mode: DeviceMode(Int)
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start_port: the start port of current runtime env
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"""
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if rank_table_file:
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# multi trainers
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node_ips, device_count = _get_ascend_rankfile(rank_table_file)
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if len(node_ips) == 1:
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node_ip = node_ips[0]
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else:
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node_index = os.environ.get("PADDLE_TRAINER_ID")
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node_ip = None
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if node_index:
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node_ip = node_ips[int(node_index)]
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else:
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_, node_ip = get_host_name_ip()
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assert node_ip in node_ips, "Can't find your local ip {%s} in node_ips: {%s}" \
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% (node_ip, node_ips)
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else:
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# single trainer (single ascend card)
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node_ips = ["127.0.0.1"]
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node_ip = node_ips[0]
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device_count = 1
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devices_per_proc = [str(x) for x in range(device_count)]
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free_ports = [
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x for x in range(start_port, start_port + len(devices_per_proc))
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]
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trainer_endpoints = []
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for ip in node_ips:
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trainer_endpoints.append(["%s:%d" % (ip, port) for port in free_ports])
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return get_cluster(node_ips, node_ip, trainer_endpoints,
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device_mode, devices_per_proc) |