我正在使用Ray模块在AWS EC2上启动Ubuntu（16.04）集群。在配置中，我将min_workers，max_workers和initial_workers指定为2，因为我不需要任何自动调整大小。我还想要一个t2.micro主节点和c4.8xlarge工人。群集启动，但只有主服务器启动（以下终端输出是从ray安装开始的，....减去详细信息）：-
2019-04-18 14:52:48,462 INFO updater.py:268 -- NodeUpdater: Running pip3 install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev2-cp35-cp35m-manylinux1_x86_64.whl on 54.226.178.23...
bash: cannot set terminal process group (-1): Inappropriate ioctl for device
bash: no job control in this shell
Collecting ray==0.7.0.dev2 from https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev2-cp35-cp35m-manylinux1_x86_64.whl
Downloading https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev2-cp35-cp35m-manylinux1_x86_64.whl (56.2MB)
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Successfully built pyyaml
Installing collected packages: click, colorama, six, redis, typing, filelock, flatbuffers, numpy, pyyaml, more-itertools, setuptools, attrs, atomicwrites, pluggy, py, pathlib2, pytest, funcsigs, ray
Successfully installed atomicwrites attrs click colorama filelock flatbuffers funcsigs more-itertools numpy pathlib2 pluggy py pytest pyyaml-3.11 ray redis setuptools-20.7.0 six-1.10.0 typing
You are using pip version 8.1.1, however version 19.0.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
2019-04-18 14:53:32,656 INFO updater.py:268 -- NodeUpdater: Running pip3 install boto3==1.4.8 on 54.226.178.23...
bash: cannot set terminal process group (-1): Inappropriate ioctl for device
bash: no job control in this shell
Collecting boto3==1.4.8
Downloading https://files.pythonhosted.org/packages/7d/09/66fef826fb13a2cee74a1df56c269d2794a90ece49c3b77113b733e4b91d/boto3-1.4.8-
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Installing collected packages: docutils, jmespath, six, python-dateutil, botocore, s3transfer, boto3
Successfully installed boto3-1.4.8 botocore-1.8.50 docutils-0.14 jmespath-0.9.4 python-dateutil-2.8.0 s3transfer-0.1.13 six-1.12.0
You are using pip version 8.1.1, however version 19.0.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
2019-04-18 14:53:37,805 INFO updater.py:268 -- NodeUpdater: Running ray stop on 54.226.178.23...
bash: cannot set terminal process group (-1): Inappropriate ioctl for device
bash: no job control in this shell
WARNING: Not monitoring node memory since `psutil` is not installed. Install this with `pip install psutil` (or ray[debug]) to enable debugging of memory-related crashes.
2019-04-18 14:53:39,775 INFO updater.py:268 -- NodeUpdater: Running ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml on 54.226.178.23...
bash: cannot set terminal process group (-1): Inappropriate ioctl for device
bash: no job control in this shell
2019-04-18 18:53:40,167 INFO scripts.py:288 -- Using IP address 172.31.7.117 for this node.
2019-04-18 18:53:40,167 INFO node.py:469 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-04-18_18-53-40_7981/logs.
2019-04-18 18:53:40,271 INFO services.py:407 -- Waiting for redis server at 127.0.0.1:6379 to respond...
2019-04-18 18:53:40,389 INFO services.py:407 -- Waiting for redis server at 127.0.0.1:60491 to respond...
2019-04-18 18:53:40,390 INFO services.py:804 -- Starting Redis shard with 0.21 GB max memory.
2019-04-18 18:53:40,400 INFO node.py:483 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-04-18_18-53-40_7981/logs.
2019-04-18 18:53:40,410 INFO services.py:1439 -- Starting the Plasma object store with 0.31 GB memory using /dev/shm.
2019-04-18 18:53:40,421 WARNING services.py:907 -- Failed to start the reporter. The reporter requires 'pip install psutil'.
WARNING: Not monitoring node memory since `psutil` is not installed. Install this with `pip install psutil` (or ray[debug]) to enable debugging of memory-related crashes.
2019-04-18 18:53:40,425 INFO scripts.py:319 --
Started Ray on this node. You can add additional nodes to the cluster by calling
ray start --redis-address 172.31.7.117:6379
from the node you wish to add. You can connect a driver to the cluster from Python by running
import ray
ray.init(redis_address="172.31.7.117:6379")
If you have trouble connecting from a different machine, check that your firewall is configured properly. If you wish to terminate the processes that have been started, run
ray stop
2019-04-18 14:53:40,593 INFO log_timer.py:21 -- NodeUpdater: i-064f62badf69f8cee: Setup commands completed [LogTimer=115941ms]
2019-04-18 14:53:40,593 INFO log_timer.py:21 -- NodeUpdater: i-064f62badf69f8cee: Applied config 248f16e493ac5bcd753a673eb7202fa2b49e0f9f [LogTimer=173814ms]
2019-04-18 14:53:40,973 INFO log_timer.py:21 -- AWSNodeProvider: Set tag ray-node-status=up-to-date on ['i-064f62badf69f8cee'] [LogTimer=374ms]
2019-04-18 14:53:41,069 INFO commands.py:264 -- get_or_create_head_node: Head node up-to-date, IP address is: 54.226.178.23
To monitor auto-scaling activity, you can run:
ray exec ray_config.yaml 'tail -n 100 -f /tmp/ray/session_*/logs/monitor*'
To open a console on the cluster:
ray attach ray_config.yaml
To ssh manually to the cluster, run:
ssh -i /home/haines/.ssh/ray-autoscaler_us-east-1.pem ubuntu@54.226.178.23
2019-04-18 14:53:41,181 INFO log_timer.py:21 -- AWSNodeProvider: Set tag ray-runtime-config=248f16e493ac5bcd753a673eb7202fa2b49e0f9f on ['i-064f62badf69f8cee']
我使用标准配置（example-full.yaml）进行了以下更改：-
min_workers: 2
initial_workers: 2
type: aws
region: us-east-1
availability_zone: us-east1a,us-east-1b
head_node:
InstanceType: t2.micro
ImageId: ami-0565af6e282977273 # ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20190212
worker_nodes:
InstanceType: c4.8xlarge
ImageId: ami-0f9cf087c1f27d9b1 # ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20181114
#MarketType: spot
setup_commands:
- echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
- sudo apt-get update
- sudo apt-get install python3-pip
- pip3 install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev2-cp35-cp35m-manylinux1_x86_64.whl
- pip3 install boto3==1.4.8 # 1.4.8 adds InstanceMarketOptions
最新的设置失败：-
setup_commands:
- sudo apt-get update
- wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh || true 1>/dev/null
- bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p $HOME/anaconda3 || true 1>/dev/null
- echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
- sudo pkill -9 apt-get || true
- sudo pkill -9 dpkg || true
- sudo dpkg --configure -a
- sudo apt-get install python3-pip || true
- pip3 install --upgrade pip
- pip3 install --user psutil
- pip3 install --user proctitle
- pip3 install --user ray
- pip3 install --user boto3==1.4.8
- pip3 install --user https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev2-cp35-cp35m-manylinux1_x86_64.whl
答案 0 :(得分：0)
我运行了您发布的配置的稍作修改的版本，这对我有用
cluster_name: test
min_workers: 2
initial_workers: 2
provider:
type: aws
region: us-east-1
availability_zone: us-east1a,us-east-1b
head_node:
InstanceType: t2.micro
ImageId: ami-0565af6e282977273 # ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20190212
worker_nodes:
InstanceType: c4.8xlarge
ImageId: ami-0f9cf087c1f27d9b1 # ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20181114
#MarketType: spot
setup_commands:
- sudo apt-get update
# Install Anaconda.
- wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh || true
- bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p $HOME/anaconda3 || true
- echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
# Install Ray.
- pip install ray
- pip install boto3==1.4.8 # 1.4.8 adds InstanceMarketOptions
我认为唯一真正的区别是安装Anaconda Python并放入PATH中，以便pip正确找到它。我怀疑这个问题与找不到正确的Python版本有关。