Dummy Ray cluster configuration

monitor.err

2019-05-04 10:20:07,160 INFO node_provider.py:34 -- ClusterState: Loaded cluster state: {'YOUR_HEAD_NODE_HOSTNAME': {'tags': {'ray-node-type': 'head'}, 'state': 'terminated'}}
2019-05-04 10:20:07,161 INFO node_provider.py:59 -- ClusterState: Writing cluster state: {'YOUR_HEAD_NODE_HOSTNAME': {'tags': {'ray-node-type': 'head'}, 'state': 'terminated'}}
2019-05-04 10:20:07,162 INFO autoscaler.py:380 -- StandardAutoscaler: {'cluster_name': 'default', 'min_workers': 0, 'max_workers': 1, 'initial_workers': 0, 'target_utilization_fraction': 0.8, 'idle_timeout_minutes': 5, 'provider': {'type': 'local', 'head_ip': 'YOUR_HEAD_NODE_HOSTNAME', 'worker_ips': []}, 'auth': {'ssh_user': 'YOUR_USERNAME', 'ssh_private_key': '~/.ssh/id_rsa'}, 'head_node': {}, 'worker_nodes': {}, 'file_mounts': {}, 'setup_commands': [], 'head_setup_commands': [], 'worker_setup_commands': [], 'head_start_ray_commands': [], 'worker_start_ray_commands': []}
2019-05-04 10:20:07,172 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending) (bringup=True)
2019-05-04 10:20:07,172 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={}, NodeIdleSeconds=Min=-1 Mean=-1 Max=-1, NumNodesConnected=0, NumNodesUsed=0.0, ResourceUsage=, TimeSinceLastHeartbeat=Min=-1 Mean=-1 Max=-1
2019-05-04 10:20:07,172 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:12,224 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:12,224 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.11335039138793945}, NodeIdleSeconds=Min=4 Mean=4 Max=4, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=0.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:12,225 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:17,237 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:17,239 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.10989880561828613}, NodeIdleSeconds=Min=9 Mean=9 Max=9, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=0.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:17,239 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:22,336 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:22,337 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.10772442817687988}, NodeIdleSeconds=Min=0 Mean=0 Max=0, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=-659.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:22,337 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:27,414 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:27,415 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.11541962623596191}, NodeIdleSeconds=Min=0 Mean=0 Max=0, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=-659.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:27,415 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:32,440 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:32,441 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.11061429977416992}, NodeIdleSeconds=Min=0 Mean=0 Max=0, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=-663.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:32,441 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:37,455 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:37,456 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.11034607887268066}, NodeIdleSeconds=Min=0 Mean=0 Max=0, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=-663.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:37,456 INFO autoscaler.py:456 -- Ending bringup phase
2019-05-04 10:20:42,459 INFO autoscaler.py:630 -- StandardAutoscaler: 0/0 target nodes (0 pending)
2019-05-04 10:20:42,460 INFO autoscaler.py:631 -- LoadMetrics: MostDelayedHeartbeats={'192.168.0.103': 0.11554956436157227}, NodeIdleSeconds=Min=0 Mean=0 Max=0, NumNodesConnected=1, NumNodesUsed=0.0, ResourceUsage=-663.0/4.0 b'CPU', 0.0/0.0 b'GPU', TimeSinceLastHeartbeat=Min=0 Mean=0 Max=0
2019-05-04 10:20:42,460 INFO autoscaler.py:456 -- Ending bringup phase

ray-autoscaler-negative-cpu-autoscaling-config.yaml

cluster_name: default
min_workers: 0
max_workers: 1
initial_workers: 0
target_utilization_fraction: 0.8
idle_timeout_minutes: 5
provider:
    type: local
    head_ip: YOUR_HEAD_NODE_HOSTNAME
    worker_ips: []
auth:
    ssh_user: YOUR_USERNAME
    ssh_private_key: ~/.ssh/id_rsa
head_node: {}
worker_nodes: {}
file_mounts: {}
setup_commands: []
head_setup_commands: []
worker_setup_commands: []
head_start_ray_commands: []
worker_start_ray_commands: []

ray-autoscaler-negative-cpu-sample-app.py

import multiprocessing
import time

import ray
ray.init(redis_address='localhost:6379')

NUM_CPUS = multiprocessing.cpu_count()

@ray.remote
def sleep(i):
    return time.sleep(i)

@ray.remote
def inner(i):
    return i + 1

@ray.remote
def outer(i):
    for i in range(100):
        ray.get(inner.remote(i))

# Step #1: Start some remote work that call and wait for other
# tasks
print('Starting remote work that calls other remote functions')
ray.get([outer.remote(i) for i in range(2 * NUM_CPUS)])

# Step #2: Start more remote work that should cause auto-scaling
# to trigger (it does not as the scaler things we are using < 0
# CPU cores)
print('Starting long running tasks that require more than one node')
ray.get([sleep.remote(5) for i in range(2 * NUM_CPUS)])

raylet.err

WARNING: Logging before InitGoogleLogging() is written to STDERR
I0504 10:20:06.470844 19698 stats.h:46] Succeeded to initialize stats: exporter address is 127.0.0.1:8888
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W0504 10:20:18.928800 19698 node_manager.cc:1543] Resources oversubscribed: {GPU,0.000000},{CPU,320.000000}
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W0504 10:20:18.928956 19698 node_manager.cc:1543] Resources oversubscribed: {GPU,0.000000},{CPU,320.000000}
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W0504 10:20:18.992897 19698 node_manager.cc:1543] Resources oversubscribed: {GPU,0.000000},{CPU,370.000000}
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W0504 10:20:19.100528 19698 node_manager.cc:1543] Resources oversubscribed: {GPU,0.000000},{CPU,511.000000}
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