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run_websocket_server.py
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run_websocket_server.py
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from multiprocessing import Process
import argparse
import os
import logging
import syft as sy
from syft.workers.websocket_server import WebsocketServerWorker
import torch
import numpy as np
from torchvision import datasets
from torchvision import transforms
KEEP_LABELS_DICT = {
"alice": [0, 1, 2, 3],
"bob": [4, 5, 6],
"charlie": [7, 8, 9],
"testing": list(range(10)),
None: list(range(10)),
}
def start_websocket_server_worker(id, host, port, hook, verbose, keep_labels=None, training=True):
"""Helper function for spinning up a websocket server and setting up the local datasets."""
server = WebsocketServerWorker(id=id, host=host, port=port, hook=hook, verbose=verbose)
# Setup toy data (mnist example)
mnist_dataset = datasets.MNIST(
root="./data",
train=training,
download=True,
transform=transforms.Compose(
[transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))]
),
)
if training:
indices = np.isin(mnist_dataset.targets, keep_labels).astype("uint8")
logger.info("number of true indices: %s", indices.sum())
selected_data = (
torch.native_masked_select(mnist_dataset.data.transpose(0, 2), torch.tensor(indices))
.view(28, 28, -1)
.transpose(2, 0)
)
logger.info("after selection: %s", selected_data.shape)
selected_targets = torch.native_masked_select(mnist_dataset.targets, torch.tensor(indices))
dataset = sy.BaseDataset(
data=selected_data, targets=selected_targets, transform=mnist_dataset.transform
)
key = "mnist"
else:
dataset = sy.BaseDataset(
data=mnist_dataset.data,
targets=mnist_dataset.targets,
transform=mnist_dataset.transform,
)
key = "mnist_testing"
server.add_dataset(dataset, key=key)
count = [0] * 10
logger.info(
"MNIST dataset (%s set), available numbers on %s: ", "train" if training else "test", id
)
for i in range(10):
count[i] = (dataset.targets == i).sum().item()
logger.info(" %s: %s", i, count[i])
logger.info("datasets: %s", server.datasets)
if training:
logger.info("len(datasets[mnist]): %s", len(server.datasets[key]))
server.start()
return server
def start_proc(participant, kwargs): # pragma: no cover
""" helper function for spinning up a websocket participant """
def target():
server = participant(**kwargs)
server.start()
p = Process(target=target)
p.start()
return p
def start_proc_steal_data_over_sockets(participant, kwargs): # pragma: no cover
""" helper function for spinning up a websocket participant """
def target():
server = participant(**kwargs)
private_data = torch.tensor([1, 1, 1, 1, 1])
private_data.private = True
server._objects[1] = private_data
server.start()
p = Process(target=target)
p.start()
return p
if __name__ == "__main__":
# Logging setup
FORMAT = "%(asctime)s | %(message)s"
logging.basicConfig(format=FORMAT)
logger = logging.getLogger("run_websocket_server")
logger.setLevel(level=logging.DEBUG)
# Parse args
parser = argparse.ArgumentParser(description="Run websocket server worker.")
parser.add_argument(
"--port",
"-p",
type=int,
help="port number of the websocket server worker, e.g. --port 8777",
)
parser.add_argument("--host", type=str, default="localhost", help="host for the connection")
parser.add_argument(
"--id", type=str, help="name (id) of the websocket server worker, e.g. --id alice"
)
parser.add_argument(
"--testing",
action="store_true",
help="if set, websocket server worker will load the test dataset instead of the training dataset",
)
parser.add_argument(
"--verbose",
"-v",
action="store_true",
help="""if set, websocket server worker will be started in verbose mode""",
)
parser.add_argument(
"--notebook",
type=str,
default="normal",
help="""can run websocket server for websockets examples of mnist/mnist-parallel or
pen_testing/steal_data_over_sockets. Type 'mnist' for starting server
for websockets-example-MNIST, `mnist-parallel` for websockets-example-MNIST-parallel
and 'steal_data' for pen_tesing stealing data over sockets""",
)
args = parser.parse_args()
# Hook and start server
hook = sy.TorchHook(torch)
# server = start_proc(WebsocketServerWorker, kwargs)
if args.notebook == "normal" or args.notebook == "mnist" or args.notebook == "steal_data":
kwargs = {
"id": args.id,
"host": args.host,
"port": args.port,
"hook": hook,
"verbose": args.verbose,
}
if os.name != "nt" and (args.notebook == "normal" or args.notebook == "mnist"):
server = start_proc(WebsocketServerWorker, kwargs)
elif os.name != "nt" and args.notebook == "steal_data":
server = start_proc_steal_data_over_sockets(WebsocketServerWorker, kwargs)
else:
server = WebsocketServerWorker(**kwargs)
server.start()
elif args.notebook == "mnist-parallel":
server = start_websocket_server_worker(
id=args.id,
host=args.host,
port=args.port,
hook=hook,
verbose=args.verbose,
keep_labels=KEEP_LABELS_DICT[args.id],
training=not args.testing,
)