Compare commits

...

49 Commits

Author SHA1 Message Date
d05abb4211
Merge branch 'master' of ssh://gitea.snsd0804.com:10805/snsd0805/gpu-provider 2024-06-03 01:47:50 +08:00
8642711cfc
feat: update task status 2024-06-03 01:47:42 +08:00
361988c079
fix: uncommand and let the provider listen events 2024-06-02 23:17:57 +08:00
d7504af42d
feat: new contract abi(with erc20) 2024-06-02 23:17:34 +08:00
272b7b4f4d Merge branch 'scatter_image' of https://gitea.snsd0805.com/snsd0805/gpu-provider into scatter_image 2024-06-02 15:17:20 +08:00
9759f99d29 fix: overlay connection with ipv4 2024-06-02 15:16:44 +08:00
4d28432bf5
feat: do not remove the swarm master in master node 2024-06-01 14:44:52 +08:00
3cae025242
feat: add debug script for testing ipv6 resolve 2024-06-01 13:20:46 +08:00
27ff1c5636
fix: add advertise_addr when join the swarm, try to fix bugs in docker 2024-06-01 13:15:12 +08:00
bc476e398f
feat: remove container automatically 2024-06-01 13:06:05 +08:00
0438f9f7b1
fix: some docker typo 2024-06-01 01:29:54 +08:00
c1c946d01b
fix: dataset typo 2024-06-01 00:53:33 +08:00
3047b898ae
fix: typo 2024-06-01 00:48:30 +08:00
55211c3856
feat: communication about docker image information 2024-06-01 00:47:33 +08:00
3184669630
feat: communication about image scatter 2024-05-31 23:36:15 +08:00
7f650d0673
fix: comment out some blocks to debug & thread join() 2024-05-31 22:59:14 +08:00
d35ee68ccb
feat: check multi-thread 2024-05-31 22:49:37 +08:00
b24d96ba7c
fix: some ui commands 2024-05-31 22:25:29 +08:00
6093742092
feat: ctrc+C to stop listening. & move print 2024-05-31 21:52:52 +08:00
8e9f6b47cf
Merge branch 'listen-event' 2024-05-31 03:48:07 +08:00
a96c6d968e
Merge branch 'master' of ssh://gitea.snsd0805.com:10805/snsd0805/gpu-provider 2024-05-31 03:47:27 +08:00
feb25fc894
feat: listening the new task from blockchain 2024-05-31 03:46:18 +08:00
7fa71768e1
docs: .gitignore 2024-05-31 03:20:10 +08:00
ba2b281b68
feat: include web3 for register the cluster 2024-05-31 03:17:10 +08:00
2b1c8890a9 merge master branch (for the new command when the master leaved) 2024-05-31 02:01:37 +08:00
12caa7358f
feat: load web3 provider in the master node 2024-05-31 01:58:04 +08:00
87646d9661
feat: add web3 config 2024-05-31 01:51:29 +08:00
dd67d88da0 fix: update actions when the worker knows the master has leaved 2024-05-31 01:40:18 +08:00
5afd668379
feat: start listening notification 2024-05-31 01:31:57 +08:00
01024d2f0d
fix: delete debug code 2024-05-31 01:06:24 +08:00
4f035b6d53
fix: update actions method 2024-05-30 17:58:27 +08:00
b378aa73ec fix: multiple connection (worker) 2024-05-30 17:52:19 +08:00
0f7409a9c6
fix: exit when receiving STOP signal (worker) 2024-05-30 17:19:13 +08:00
0cae46b25b
fix: use 2 spaces as split token 2024-05-30 17:15:18 +08:00
5b8b3e7c39
feat: leave docker swarm cluster when exit 2024-05-30 16:49:10 +08:00
755a929aeb
fix: multi client, master only need to build cluster once 2024-05-30 16:15:31 +08:00
e72b9021be feat: docker swarm join (worker) 2024-05-30 15:43:13 +08:00
4cbf9957a2
feat: add docker to requirements.txt 2024-05-30 15:20:44 +08:00
d0419e709d
fix: docker swarm (master) 2024-05-30 15:20:19 +08:00
24d26c8635
feat: add host as require argument 2024-05-30 14:56:32 +08:00
da1c216d3b
feat: build docker swarm cluster 2024-05-30 14:55:59 +08:00
7bf0f39d39
fix: self.IP->self.host in the node manager 2024-05-29 18:51:04 +08:00
3d1bd08f72
fix: listen broadcast UDP at 0.0.0.0 2024-05-29 18:46:30 +08:00
061b0e504e
fix: use host as IP 2024-05-29 18:43:42 +08:00
b7372420bc
fix: useless path 2024-05-29 18:35:38 +08:00
847b6f8814
feat: get GPU name in the node 2024-05-29 18:34:44 +08:00
68123809bb
feat: add cluster_info function 2024-05-18 18:08:07 +08:00
01e673c07c
feat: finish the communication between master and workers 2024-05-18 17:17:44 +08:00
a947f86c91
feat: extract action from node manager 2024-05-18 03:02:31 +08:00
10 changed files with 605 additions and 65 deletions

5
.gitignore vendored Normal file
View File

@ -0,0 +1,5 @@
*/__pycache__
__pycache__
output/
dataset_dir/
env/

18
constant.py Normal file
View File

@ -0,0 +1,18 @@
# web3 provider information
# include provider HTTPS endpoint URL & its API Key.
# Alchemy is a good choice for Web3 provider
WEB3_PROVIDER_URL = "https://eth-sepolia.g.alchemy.com/v2/"
WEB3_PROVIDER_KEY = ""
# Please write down your wallet key to sign a transaction with our contract.
WALLET_KEY = ""
# Don't change
SCHEDULER_ADDR = "0xe12dc15f646bC8Ba432254Ffe58595BC31eC2C4d"
SCHEDULER_ABI_FILE = "./src/Scheduler.abi"
GPU_NAME2ID = {
'NVIDIA GeForce RTX 4090': 0,
'NVIDIA GeForce RTX 3060': 1,
}

52
main.py
View File

@ -1,21 +1,47 @@
import argparse
import threading
from src.communication import ServiceExplorationModule
import select
import sys
from src.parser import get_args
from src.node_manager import NodeManager
if __name__ == '__main__':
args = get_args()
socket_type = args.type
host, port = args.host, args.port
# start Service Exploration Module
# let all client can know which IP address has our service so that it can link to.
service_explore = ServiceExplorationModule(host, port+1)
explore_service_thread = threading.Thread(target=service_explore.listen)
explore_service_thread.start()
manager = NodeManager(host, port)
manager.start_service()
if socket_type == 'client':
hosts = service_explore.explore()
print(hosts)
is_run = True
while is_run:
explanation = '=' * 30 + '\n'
for index, action in enumerate(manager.actions):
explanation += f'{index+1}) {action["explanation"]}\n'
explanation += '=' * 30
explanation += '\n> '
print(explanation, end='')
while True:
if sys.stdin.closed:
sys.stdin = open(0)
read_list, _, _ = select.select([sys.stdin], [], [], 1)
if read_list:
action = sys.stdin.readline()
try:
action = manager.actions[int(action)-1]
if action['function'] == 'exit':
manager.exit()
is_run = False
else:
func = getattr(manager, action['function'])
func()
break
except:
break
print("\n\n\n")
print("Stopped")

View File

@ -1 +1,3 @@
web3==6.18.0
docker

1
src/Scheduler.abi Normal file

File diff suppressed because one or more lines are too long

View File

@ -1,26 +1,335 @@
from os.path import isdir
import socket
import os
import json
import threading
import docker
import time
class ServiceExplorationModule():
def __init__(self, host, port):
# UDP server
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
from docker.models.containers import Image
class ClusterCommunicationModule():
def __init__(self, host, port, node_manager):
# TCP server
# In our implementation, the master node link to the worker's TCP server.
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.client_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.host = host
self.port = port
self.IP = socket.gethostbyname(socket.gethostname())
self.is_available = True
self.node_manager = node_manager
self.worker_conns = []
def listen(self):
self.sock.bind((self.host, self.port))
self.sock.listen(1)
print(f"Communication Server(TCP) listening on {self.host}:{self.port}...")
while True:
conn, addr = self.sock.accept()
# first request, we should approve the request
data = conn.recv(1024)
data = data.decode()
if data == '[REQUEST]': # worker side
cont = self.process_request(conn, addr)
if cont:
while True:
# Start receive command
data = self.client_sock.recv(1024)
data = data.decode()
cont = self.handle_command(data)
if not cont:
self.client_sock.close()
self.client_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
break
elif data == '[CHECK]': # master side
# build docker swarm
if self.node_manager.docker_client.swarm.attrs == {}:
print("Build new docker swarm...")
self.node_manager.docker_client.swarm.init(advertise_addr=self.host, listen_addr=f"{self.host}:2377", force_new_cluster=True)
print("Create new overlay network")
self.node_manager.docker_client.networks.create(name='train-net', driver='overlay', attachable=True)
# send docker swarm token to the worker
token = self.node_manager.docker_client.swarm.attrs['JoinTokens']['Worker']
conn.send(f'[DOCKER_TOKEN] {token}'.encode())
print(f"Send token: {token} to the worker.")
print("Please Enter to continue...")
self.worker_conns.append(conn)
continue
conn.close()
def process_request(self, conn, addr): # worker side
if self.node_manager.status == 'none':
conn.send('[ACCEPT]'.encode())
conn.close()
self.client_sock.connect((addr[0], self.port))
self.client_sock.send('[CHECK]'.encode())
# join docker swarm cluster
token = self.client_sock.recv(1024).decode().split(' ')[-1]
print("Receive Docker Swarm Join_Token=", token)
status = self.node_manager.docker_client.swarm.join(
remote_addrs=[f'{addr[0]}:2377'],
join_token=token,
advertise_addr=self.host,
listen_addr=self.host,
data_path_addr=self.host,
)
if not status:
print("Some Errors!")
self.node_manager.actions = [
{'explanation': 'Exit', 'function': 'exit'},
]
self.node_manager.status = 'worker'
print(f'You are in {addr} cluster now.\nPlease type in Enter to continue')
return True
else:
conn.send('[REJECT]'.encode())
print(f'You just reject the cluster invitation from {addr} now.\nPlease type in Enter to continue')
return False
def handle_command(self, data):
command, args = data.split(' ')
if command == '[INFO]':
data = {'host': self.host, 'GPU': self.node_manager.GPU, 'GPU_num': self.node_manager.GPU_num}
self.client_sock.send(json.dumps(data).encode())
elif command == '[STOP]':
print("Receive STOP signal")
data = {'host': self.host}
self.client_sock.send(f'[STOP_CHECK] {json.dumps(data)}'.encode())
self.node_manager.docker_client.swarm.leave()
self.node_manager.status = 'none'
self.node_manager.actions = [
{'explanation': 'Add another node into our cluster', 'function': 'add_node'},
{'explanation': 'Exit', 'function': 'exit'},
]
print("You have leaved the cluster.")
print("Please Enter to continued")
return False
elif command == '[START_LISTEN_TASK]':
self.client_sock.send('[START_LISTEN_TASK_CHECK] {}'.encode())
print("The master has started listening for new task from Sepolia testnet...")
elif command == '[RUN_CONTAINER]':
args = json.loads(args)
image = args['image']
train = args['train']
print(f"[RUN_CONTAINER] {image}")
self.run_container(image, train, args)
print(f"[RUN_CONTAINER SUCCESS] {image}")
self.client_sock.send('[RUN_CONTAINER_SUCCESS] {}'.encode())
return True
def request(self, host): # master side
self.client_sock.connect((host, self.port))
self.client_sock.send('[REQUEST]'.encode())
data = self.client_sock.recv(1024)
data = data.decode()
# close client_sock, and waiting for the worker connect to our self.sock
self.client_sock.close()
self.client_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
if data == '[REJECT]':
print(f"{host} reject.")
return False
elif data == '[ACCEPT]':
self.node_manager.status = 'master'
print(f"{host} accept.")
return True
def cluster_info(self):
ans = []
for conn in self.worker_conns:
try:
conn.send('[INFO] {}'.encode())
data = conn.recv(1024)
data = json.loads(data.decode())
ans.append(data)
except:
self.worker_conns.remove(conn)
print("1 worker disconnnected.")
return ans
def start_listen_task(self):
disconnected_counter = 0
for conn in self.worker_conns:
try:
conn.send('[START_LISTEN_TASK] {}'.encode())
data, args = conn.recv(1024).decode().split(' ')
except:
disconnected_counter += 1
self.worker_conns.remove(conn)
if disconnected_counter != 0:
print(f'{disconnected_counter} worker disconnected.')
else:
print(f'All other {len(self.worker_conns)} workers are waiting...')
def exit(self):
if self.node_manager.status == 'master':
for conn in self.worker_conns:
try:
conn.send('[STOP] {}'.encode())
check, args = conn.recv(1024).decode().split(' ')
except:
print(f'{args} has stopped.')
if self.node_manager.status == 'worker':
self.node_manager.docker_client.swarm.leave()
self.sock.close()
self.client_sock.close()
for conn in self.worker_conns:
conn.close()
def run_container(self, image_name, train, train_args={}):
'''
train_args
- index
- node_num
'''
if not os.path.isdir('./dataset_dir'):
os.mkdir('./dataset_dir')
print("Create ./dataset_dir dir.")
if not os.path.isdir('./output'):
os.mkdir('./output')
print("Create ./output dir.")
if not train:
container = self.node_manager.docker_client.containers.run(
image_name,
volumes={'dataset_dir': {'bind': '/dataset', 'mode': 'rw'}},
detach=True
)
else:
container = self.node_manager.docker_client.containers.run(
image_name,
volumes={
'dataset_dir': {'bind': '/dataset', 'mode': 'rw'},
'output': {'bind': '/output', 'mode': 'rw'},
},
network='train-net',
runtime='nvidia',
device_requests=[
docker.types.DeviceRequest(count=-1, capabilities=[['gpu']])
],
name=f'train-{train_args["index"]}',
environment={
'GPU_NUM': self.node_manager.GPU_num,
'NODE_NUM': train_args['node_num'],
'NODE_RANK': train_args['index'],
'MASTER_IP': 'train-0' if self.node_manager.status == 'worker' else '127.0.0.1',
'MASTER_PORT': 21046,
},
detach=True
)
print(container.short_id)
for line in container.logs(stream=True):
print(line.strip().decode())
result = container.wait()
status_code = result['StatusCode']
if status_code != 0:
print(f'[ERROR] some error occur in the docker container, error_code={status_code}')
container.remove()
def scatter_container(self, image_name, train):
def master_run(image_name):
print("[Master] run")
train_args = {
'index': 0,
'node_num': len(self.worker_conns)+1
}
self.run_container(image_name, train, train_args)
print("[Master] finished")
def send_and_wait(conn_index, conn, image_name):
try:
# build command
data = {
'image': image_name,
'train': train,
'index': conn_index+1,
'node_num': len(self.worker_conns)+1
}
command = '[RUN_CONTAINER] {}'.format(json.dumps(data))
# send
conn.send(command.encode())
print(f"[WORKER {conn_index}] Send command {command}")
# wait
data, args = conn.recv(1024).decode().split(' ')
print(f"[WORKER {conn_index}] finished")
except:
print("[WARN] connection {conn_index} disconnected.")
# build threads
threads = []
master_t = threading.Thread(target=master_run, args=(image_name, ))
threads.append(master_t)
for index, conn in enumerate(self.worker_conns):
t = threading.Thread(target=send_and_wait, args=(index, conn, image_name))
threads.append(t)
# start threads & wait
for thread in threads:
thread.start()
for thread in threads:
thread.join()
# all finished
print("\n[INFO] All workers finished.")
'''
conn.send('[RUN_CONTAINER] '.encode())
data, args = conn.recv(1024).decode().split(' ')
'''
class ServiceExplorationModule():
def __init__(self, host, port, node_manager):
# UDP server
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.host = host
self.port = port
self.node_manager = node_manager
def listen(self):
self.sock.bind(('0.0.0.0', self.port))
print(f"Exploration Server(UDP) listening on {self.host}:{self.port}...")
while True:
data, addr = self.sock.recvfrom(1024)
if self.is_available:
if self.node_manager.status == 'none':
if data.decode() == '[EXPLORE]':
print(f"Receive exploration broadcast from {addr}")
self.sock.sendto(self.IP.encode(), addr)
self.sock.sendto(self.host.encode(), addr)
def explore(self):
available_host = []
@ -28,15 +337,18 @@ class ServiceExplorationModule():
client_sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
client_sock.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
client_sock.settimeout(3)
client_sock.settimeout(1)
client_sock.sendto('[EXPLORE]'.encode(), ('255.255.255.255', self.port))
while True:
try:
data, addr = client_sock.recvfrom(1024)
if addr[0] != self.IP:
available_host.append(addr)
if addr[0] != self.host:
available_host.append(addr[0])
except:
# if socket timeout
break
return available_host
def exit(self):
self.sock.close()

154
src/node_manager.py Normal file
View File

@ -0,0 +1,154 @@
import threading
from src.communication import ServiceExplorationModule, ClusterCommunicationModule
import torch
import time
import docker
from web3 import Web3
from src.scheduler import Scheduler
from constant import *
class NodeManager():
def __init__(self, host, port):
self.status = 'none'
self.actions = [
{'explanation': 'Add another node into our cluster', 'function': 'add_node'},
{'explanation': 'Start waiting for the new task', 'function': 'start_listen_task'},
{'explanation': 'Exit', 'function': 'exit'},
]
self.get_GPU_info()
print(f"You have {self.GPU} * {self.GPU_num}")
# start Cluster Communication Module
# let the nodes in the cluster can communicate
self.cluster_communication_module = ClusterCommunicationModule(host, port, self)
# start Service Exploration Module
# let all client can know which IP address has our service so that it can link to.
self.service_exploration_module = ServiceExplorationModule(host, port+1, self)
# docker client
self.docker_client = docker.from_env()
# web3 provider
# if this is master, it should init a Web object.
self.w3 = None
self.scheduler = None
self.wallet = None
time.sleep(2)
def get_GPU_info(self):
self.GPU_num = torch.cuda.device_count()
assert self.GPU_num > 0, "Your computer doesn't have GPU resource"
self.GPU = torch.cuda.get_device_name(0)
for i in range(self.GPU_num):
assert torch.cuda.get_device_name(i) == self.GPU, "Please provide same type of GPUs."
def start_service(self):
communication_thread = threading.Thread(target=self.cluster_communication_module.listen)
communication_thread.daemon = True
communication_thread.start()
explore_service_thread = threading.Thread(target=self.service_exploration_module.listen)
explore_service_thread.daemon = True
explore_service_thread.start()
def add_node(self):
hosts = self.service_exploration_module.explore()
if len(hosts) != 0:
msg = "These are the nodes you can request for join into our cluster: \n"
msg += '\n'.join([f'{index+1}) {host}' for index, host in enumerate(hosts)])
msg += '\n> '
choose = input(msg)
try:
choose = int(choose)-1
accept = self.cluster_communication_module.request(hosts[choose])
if accept:
self.actions = [
{'explanation': 'Add another node into our cluster', 'function': 'add_node'},
{'explanation': 'Cluster info', 'function': 'cluster_info'},
{'explanation': 'Start waiting for the new task', 'function': 'start_listen_task'},
{'explanation': 'Exit', 'function': 'exit'},
]
except:
print("=== FAIL ===")
else:
print("No other nodes in your subnet.")
def start_listen_task(self):
self.w3 = Web3(Web3.HTTPProvider(WEB3_PROVIDER_URL + WEB3_PROVIDER_KEY))
self.scheduler = Scheduler(self.w3, SCHEDULER_ADDR, SCHEDULER_ABI_FILE)
self.wallet = self.w3.eth.account.from_key(WALLET_KEY)
print(f"We have use {WEB3_PROVIDER_URL+WEB3_PROVIDER_KEY} as the web3 provider.")
print(f"And we have load your wallet private key {WALLET_KEY} (address={self.wallet.address})")
print()
if self.w3.is_connected():
print("[INFO] Connected Successfully.")
print()
# Register the cluster
gpu_num = self.cluster_info()
gpu_id = GPU_NAME2ID[self.GPU]
print(f"\nWe will register this cluster({self.GPU} * {gpu_num})...")
receipt = self.scheduler.register_cluster(self.wallet, gpu_id, gpu_num)
event = self.scheduler.get_cluster_event(receipt)
print("\n[INFO] Register our cluster succefully. \nThis is our cluster event on the blockchain: ")
print(f" {event[0]['args']}")
# start waiting
self.cluster_communication_module.start_listen_task()
print("\nWaiting for the new task from Sepolia testnet...")
print("Ctrl+C to stop the waiting...")
try:
next_task = self.scheduler.listen_task(self.wallet.address)
except:
print("[INFO] stop the waiting")
return
# get task info
task_index = next_task['args']['taskIndex']
data_image = next_task['args']['dataImage']
train_image = next_task['args']['trainImage']
print("\n[INFO] You Receive a new task:")
print(f" - Task Index: {task_index}")
print(f" - Download Image: {data_image}")
print(f" - Training Image: {train_image}")
# data_image = "snsd0805/cifar100-dataset:v1"
# train_image = "snsd0805/cifar100-train:v3"
# Start Downloading
self.cluster_communication_module.scatter_container(data_image, train=False)
# start training
self.cluster_communication_module.scatter_container(train_image, train=True)
print("Update the task's status...")
self.scheduler.update_status(self.wallet, task_index, 4)
print("Finished.")
else:
print("[ERROR] Connected Failed.")
print("Please check for your provider key & wallet key")
def cluster_info(self):
info = self.cluster_communication_module.cluster_info()
print(f"\nThere are {len(info)+1} nodes in this cluster.")
print("Cluster Info:")
print(f" {self.service_exploration_module.host}(local) -> {self.GPU} * {self.GPU_num}")
GPU_num = self.GPU_num
for host in info:
GPU_num += host['GPU_num']
print(f" {host['host']} -> {host['GPU']} * {host['GPU_num']}")
return GPU_num
def exit(self):
self.cluster_communication_module.exit()
self.service_exploration_module.exit()

View File

@ -2,8 +2,7 @@ import argparse
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('type', type=str, help="'client' or 'server'", default='server')
parser.add_argument('--host', type=str, help="server's IPv4 address", default='0.0.0.0')
parser.add_argument('host', type=str, help="server's IPv4 address")
parser.add_argument('--port', type=int, help="server's listening port", default=8888)
args = parser.parse_args()

View File

@ -6,9 +6,8 @@ class Scheduler():
self.w3 = w3
abi = load_abi(abi_file)
self.contract = self.w3.eth.contract(address=address, abi=abi)
print(self.contract.functions)
def signedAndSendTransaction(self, account, function):
def signed_and_send_transaction(self, account, function):
tx = function.build_transaction({
'from': account.address,
'nonce': self.w3.eth.get_transaction_count(account.address)
@ -17,24 +16,24 @@ class Scheduler():
tx_hash = self.w3.eth.send_raw_transaction(signed_tx.rawTransaction)
tx_receipt = self.w3.eth.wait_for_transaction_receipt(tx_hash)
_hash = tx_receipt['transactionHash']
return _hash
return tx_receipt
def registerCluster(self, account, gpu_id: int, gpu_num: int):
def register_cluster(self, account, gpu_id: int, gpu_num: int):
function = self.contract.functions.registerCluster(gpu_id, gpu_num)
return self.signedAndSendTransaction(account, function)
return self.signed_and_send_transaction(account, function)
def registerTaskWithConditions(self, account, data_image: str, train_image: str, gpu_id: int, cluster_size: int):
def register_task_with_conditions(self, account, data_image: str, train_image: str, gpu_id: int, cluster_size: int):
function = self.contract.functions.registerTaskWithConditions(data_image, train_image, gpu_id, cluster_size)
return self.signedAndSendTransaction(account, function)
return self.signed_and_send_transaction(account, function)
def getClusters(self):
def get_clusters(self):
return self.contract.functions.getClusters().call()
def getTasks(self):
def get_tasks(self):
return self.contract.functions.getTasks().call()
def getStartRunEvent(self):
'''
def get_start_run_event(self):
event_filter = self.contract.events.StartRun.create_filter(fromBlock=0)
events = event_filter.get_new_entries()
print(events)
@ -43,4 +42,22 @@ class Scheduler():
event_filter = self.contract.events.RegisterCluster.create_filter(fromBlock=0)
events = event_filter.get_new_entries()
print(events)
'''
def get_cluster_event(self, receipt):
event = self.contract.events.RegisterCluster().process_receipt(receipt)
return event
def listen_task(self, address):
event_filter = self.contract.events.StartRun.create_filter(fromBlock='latest')
while True:
for event in event_filter.get_new_entries():
if event['args']['provider'] == address:
return event
def update_status(self, account, task_index, new_status):
function = self.contract.functions.updateStatus(task_index, new_status)
return self.signed_and_send_transaction(account, function)

58
test.py
View File

@ -1,34 +1,40 @@
from web3 import Web3
from src.scheduler import Scheduler
import docker
import os
SCHEDULER_ADDR = "0x544eAe853EA3774A8857573C6423E6Db95b79258"
SCHEDULER_ABI_FILE = "../gpu-contract/abi/Scheduler.abi"
PROVIDER1_KEY = "0xac0974bec39a17e36ba4a6b4d238ff944bacb478cbed5efcae784d7bf4f2ff80"
PROVIDER2_KEY = "0x59c6995e998f97a5a0044966f0945389dc9e86dae88c7a8412f4603b6b78690d"
PROVIDER3_KEY = "0x5de4111afa1a4b94908f83103eb1f1706367c2e68ca870fc3fb9a804cdab365a"
if not os.path.isdir('./dataset_dir'):
os.mkdir('./dataset_dir')
CLIENT_KEY = "0x7c852118294e51e653712a81e05800f419141751be58f605c371e15141b007a6"
docker_client = docker.from_env()
container = docker_client.containers.run(
'snsd0805/cifar100-train:v3',
volumes={
'dataset_dir': {'bind': '/dataset', 'mode': 'rw'},
'output': {'bind': '/output', 'mode': 'rw'},
},
network='train-net',
runtime='nvidia',
device_requests=[
docker.types.DeviceRequest(count=-1, capabilities=[['gpu']])
],
name='train-0',
environment={
'GPU_NUM': 1,
'NODE_NUM': 1,
'NODE_RANK': 0,
'MASTER_IP': 'train-0',
'MASTER_PORT': 21046,
},
detach=True
)
w3 = Web3(Web3.HTTPProvider('http://127.0.0.1:8545'))
if __name__ == '__main__':
if w3.is_connected():
scheduler = Scheduler(w3, SCHEDULER_ADDR, SCHEDULER_ABI_FILE)
print(container.short_id)
for line in container.logs(stream=True):
print(line.strip().decode())
provider1 = w3.eth.account.from_key(PROVIDER1_KEY)
provider2 = w3.eth.account.from_key(PROVIDER2_KEY)
provider3 = w3.eth.account.from_key(PROVIDER3_KEY)
client = w3.eth.account.from_key(CLIENT_KEY)
result = container.wait()
status_code = result['StatusCode']
print(status_code, type(status_code))
print(scheduler.getClusters())
scheduler.registerCluster(provider1, 1, 4)
scheduler.registerCluster(provider2, 2, 2)
scheduler.registerCluster(provider3, 3, 1)
scheduler.registerTaskWithConditions(client, "https://data.com", "http://train.tw", 3, 1)
print(scheduler.getClusters())
print(scheduler.getTasks())
else:
print("cannot connected to the chain")