FederatedAI / KubeFATE

Manage federated learning workload using cloud native technologies.
Apache License 2.0
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kubefate1.9.0部署后9999parites的fateflow_nn容器启动报错ModuleNotFoundError: No module named 'federatedml.components' #803

Open desertfoxfj opened 2 years ago

desertfoxfj commented 2 years ago

docker-compose;

kubafate1.9.0

ubuntu20.04

parties.conf 配置信息如下:

!/bin/bash

user=root dir=/data/projects/fate party_list=(10000 9999) party_ip_list=(192.168.113.171 192.168.113.172) serving_ip_list=(192.168.113.171 192.168.113.172)

Engines:

Computing : Eggroll, Spark, Spark_local

computing=Eggroll

Federation: Eggroll(computing: Eggroll), Pulsar/RabbitMQ(computing: Spark/Spark_local)

federation=Eggroll

Storage: Eggroll(computing: Eggroll), HDFS(computing: Spark), LocalFS(computing: Spark_local)

storage=Eggroll

Algorithm: Basic, NN

algorithm=NN

Device: IPCL, CPU

device=CPU

spark and eggroll

compute_core=8

default

exchangeip=

modify if you are going to use an external db

mysql_ip=mysql mysql_user=fate mysql_password=fate_dev mysql_db=fate_flow

name_node=hdfs://namenode:9000

Define fateboard login information

fateboard_username=admin fateboard_password=admin

Define serving admin login information

serving_admin_username=admin serving_admin_password=admin

fateflow_nn容器启动报错: Traceback (most recent call last): File "fateflow/python/fate_flow/fate_flow_server.py", line 90, in ModuleNotFoundError: No module named 'federatedml.components'

owlet42 commented 1 year ago

Please clean up the environment and redeploy. https://github.com/FederatedAI/KubeFATE/tree/master/docker-deploy#deleting-the-cluster