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Adrian's branch #4

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db86804
create branch for Adrian
Feb 5, 2023
c191048
new file: ADULT.csv
aecorzo21 Mar 5, 2023
cdd4a9a
Merge pull request #3 from aecorzo21/main
AlexTsai1618 Mar 6, 2023
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32,563 changes: 32,563 additions & 0 deletions ADULT.csv
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141 changes: 138 additions & 3 deletions FL_client.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 1,
"id": "66e82ae0",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -102,6 +102,141 @@
"\n",
"sy.networks"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "2fce24ea",
"metadata": {},
"source": [
"VFL Concpet overview"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b67b50a0",
"metadata": {},
"outputs": [],
"source": [
"class SplitNN:\n",
" def __init__(self, models, optimizers):\n",
" self.models = models\n",
" self.optimizers = optimizers\n",
"\n",
" self.data = []\n",
" self.remote_tensors = []\n",
"\n",
" def forward(self, x):\n",
" data = []\n",
" remote_tensors = []\n",
"\n",
" data.append(self.models[0](x))\n",
"\n",
" if data[-1].location == self.models[1].location:\n",
" remote_tensors.append(data[-1].detach().requires_grad_())\n",
" else:\n",
" remote_tensors.append(\n",
" data[-1].detach().move(self.models[1].location).requires_grad_()\n",
" )\n",
"\n",
" i = 1\n",
" while i < (len(models) - 1):\n",
" data.append(self.models[i](remote_tensors[-1]))\n",
"\n",
" if data[-1].location == self.models[i + 1].location:\n",
" remote_tensors.append(data[-1].detach().requires_grad_())\n",
" else:\n",
" remote_tensors.append(\n",
" data[-1].detach().move(self.models[i + 1].location).requires_grad_()\n",
" )\n",
"\n",
" i += 1\n",
"\n",
" data.append(self.models[i](remote_tensors[-1]))\n",
"\n",
" self.data = data\n",
" self.remote_tensors = remote_tensors\n",
"\n",
" return data[-1]\n",
"\n",
" def backward(self):\n",
" for i in range(len(models) - 2, -1, -1):\n",
" if self.remote_tensors[i].location == self.data[i].location:\n",
" grads = self.remote_tensors[i].grad.copy()\n",
" else:\n",
" grads = self.remote_tensors[i].grad.copy().move(self.data[i].location)\n",
" \n",
" self.data[i].backward(grads)\n",
"\n",
" def zero_grads(self):\n",
" for opt in self.optimizers:\n",
" opt.zero_grad()\n",
"\n",
" def step(self):\n",
" for opt in self.optimizers:\n",
" opt.step()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "43782bee",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Requirement already satisfied: torchvision in /home/vscode/.local/lib/python3.9/site-packages (0.14.1)\n",
"Requirement already satisfied: requests in /home/vscode/.local/lib/python3.9/site-packages (from torchvision) (2.26.0)\n",
"Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /home/vscode/.local/lib/python3.9/site-packages (from torchvision) (9.4.0)\n",
"Requirement already satisfied: torch in /home/vscode/.local/lib/python3.9/site-packages (from torchvision) (1.10.0)\n",
"Requirement already satisfied: typing-extensions in /home/vscode/.local/lib/python3.9/site-packages (from torchvision) (4.0.0)\n",
"Requirement already satisfied: numpy in /home/vscode/.local/lib/python3.9/site-packages (from torchvision) (1.21.4)\n",
"Requirement already satisfied: charset-normalizer~=2.0.0 in /home/vscode/.local/lib/python3.9/site-packages (from requests->torchvision) (2.0.12)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /home/vscode/.local/lib/python3.9/site-packages (from requests->torchvision) (2022.12.7)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/vscode/.local/lib/python3.9/site-packages (from requests->torchvision) (1.26.13)\n",
"Requirement already satisfied: idna<4,>=2.5 in /home/vscode/.local/lib/python3.9/site-packages (from requests->torchvision) (3.4)\n"
]
},
{
"ename": "ImportError",
"evalue": "cannot import name 'QuantStub' from 'torch.ao.quantization' (/home/vscode/.local/lib/python3.9/site-packages/torch/ao/quantization/__init__.py)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[7], line 6\u001b[0m\n\u001b[1;32m 3\u001b[0m sys\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mappend(\u001b[39m'\u001b[39m\u001b[39m../\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 5\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtorch\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorchvision\u001b[39;00m \u001b[39mimport\u001b[39;00m datasets, transforms\n\u001b[1;32m 7\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorch\u001b[39;00m \u001b[39mimport\u001b[39;00m nn, optim\n\u001b[1;32m 8\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorchvision\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdatasets\u001b[39;00m \u001b[39mimport\u001b[39;00m MNIST\n",
"File \u001b[0;32m~/.local/lib/python3.9/site-packages/torchvision/__init__.py:5\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mwarnings\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtorch\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorchvision\u001b[39;00m \u001b[39mimport\u001b[39;00m datasets, io, models, ops, transforms, utils\n\u001b[1;32m 7\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mextension\u001b[39;00m \u001b[39mimport\u001b[39;00m _HAS_OPS\n\u001b[1;32m 9\u001b[0m \u001b[39mtry\u001b[39;00m:\n",
"File \u001b[0;32m~/.local/lib/python3.9/site-packages/torchvision/models/__init__.py:17\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mswin_transformer\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m 16\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mmaxvit\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[0;32m---> 17\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m \u001b[39mimport\u001b[39;00m detection, optical_flow, quantization, segmentation, video\n\u001b[1;32m 18\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m_api\u001b[39;00m \u001b[39mimport\u001b[39;00m get_model, get_model_builder, get_model_weights, get_weight, list_models\n",
"File \u001b[0;32m~/.local/lib/python3.9/site-packages/torchvision/models/quantization/__init__.py:3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mgooglenet\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39minception\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[0;32m----> 3\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mmobilenet\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m 4\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mresnet\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mshufflenetv2\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n",
"File \u001b[0;32m~/.local/lib/python3.9/site-packages/torchvision/models/quantization/mobilenet.py:1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mmobilenetv2\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m \u001b[39m# noqa: F401, F403\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mmobilenetv3\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m \u001b[39m# noqa: F401, F403\u001b[39;00m\n\u001b[1;32m 3\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mmobilenetv2\u001b[39;00m \u001b[39mimport\u001b[39;00m __all__ \u001b[39mas\u001b[39;00m mv2_all\n",
"File \u001b[0;32m~/.local/lib/python3.9/site-packages/torchvision/models/quantization/mobilenetv2.py:5\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtyping\u001b[39;00m \u001b[39mimport\u001b[39;00m Any, Optional, Union\n\u001b[1;32m 4\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorch\u001b[39;00m \u001b[39mimport\u001b[39;00m nn, Tensor\n\u001b[0;32m----> 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorch\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mao\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mquantization\u001b[39;00m \u001b[39mimport\u001b[39;00m DeQuantStub, QuantStub\n\u001b[1;32m 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtorchvision\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmodels\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmobilenetv2\u001b[39;00m \u001b[39mimport\u001b[39;00m InvertedResidual, MobileNet_V2_Weights, MobileNetV2\n\u001b[1;32m 8\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mops\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmisc\u001b[39;00m \u001b[39mimport\u001b[39;00m Conv2dNormActivation\n",
"\u001b[0;31mImportError\u001b[0m: cannot import name 'QuantStub' from 'torch.ao.quantization' (/home/vscode/.local/lib/python3.9/site-packages/torch/ao/quantization/__init__.py)"
]
}
],
"source": [
"!pip3 install torchvision\n",
"import sys\n",
"sys.path.append('../')\n",
"\n",
"import torch\n",
"from torchvision import datasets, transforms\n",
"from torch import nn, optim\n",
"from torchvision.datasets import MNIST\n",
"from torchvision.transforms import ToTensor\n",
"\n",
"import syft as sy\n",
"\n",
"from src.dataloader import VerticalDataLoader\n",
"from src.psi.util import Client, Server\n",
"from src.utils import add_ids\n",
"\n",
"hook = sy.TorchHook(torch)"
]
}
],
"metadata": {
Expand All @@ -120,11 +255,11 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.9 (default, Apr 13 2022, 08:48:06) \n[Clang 13.1.6 (clang-1316.0.21.2.5)]"
"version": "3.9.2 (default, Feb 28 2021, 17:03:44) \n[GCC 10.2.1 20210110]"
},
"vscode": {
"interpreter": {
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
"hash": "eb4a0ac80907d7f44e1a5e88d3d3381b33e3dbedd3a24d113e876f30a0c46bee"
}
}
},
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1 change: 1 addition & 0 deletions FL_workflow.drawio
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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
ascii-magic = "==1.6"
asttokens = "==2.2.1"
attrs = "==22.2.0"
autodp = "==0.2"
backcall = "==0.2.0"
bcrypt = "==3.2.0"
cachetools = "==4.2.4"
certifi = "==2022.12.7"
cffi = "==1.15.1"
charset-normalizer = "==2.0.12"
colorama = "==0.4.6"
comm = "==0.1.2"
debugpy = "==1.6.5"
decorator = "==5.1.1"
dnspython = "==2.2.1"
email-validator = "==1.3.0"
entrypoints = "==0.4"
exceptiongroup = "==1.1.0"
executing = "==1.2.0"
forbiddenfruit = "==0.1.4"
gevent = "==21.8.0"
greenlet = "==1.1.3.post0"
idna = "==3.4"
importlib-metadata = "==4.8.2"
iniconfig = "==2.0.0"
ipykernel = "==6.19.4"
ipython = "==8.8.0"
jedi = "==0.18.2"
jupyter-client = "==7.4.8"
jupyter-core = "==5.1.2"
loguru = "==0.5.3"
matplotlib-inline = "==0.1.6"
mercurial = "==5.6.1"
mpmath = "==1.2.1"
names = "==0.3.0"
nest-asyncio = "==1.5.6"
numpy = "==1.21.4"
packaging = "==21.2"
pandas = "==1.3.4"
parso = "==0.8.3"
pexpect = "==4.8.0"
pickleshare = "==0.7.5"
pillow = "==9.4.0"
platformdirs = "==2.6.2"
pluggy = "==1.0.0"
prompt-toolkit = "==3.0.36"
protobuf = "==3.19.1"
psutil = "==5.9.4"
ptyprocess = "==0.7.0"
pure-eval = "==0.2.2"
pyarrow = "==6.0.0"
pycparser = "==2.21"
pydantic = "==1.8.2"
pygments = "==2.14.0"
pyjwt = "==2.3.0"
pymbolic = "==2021.1"
pynacl = "==1.4.0"
pyparsing = "==2.4.7"
pytest = "==7.2.0"
python-dateutil = "==2.8.2"
pytools = "==2022.1.14"
pytz = "==2022.7"
pyzmq = "==24.0.1"
requests = "==2.26.0"
requests-toolbelt = "==0.9.1"
scipy = "==1.10.0"
six = "==1.16.0"
sqlalchemy = "==1.4.27"
stack-data = "==0.6.2"
syft = "==0.6.0"
sympy = "==1.9"
tomli = "==2.0.1"
torch = "==1.10.0"
tornado = "==6.2"
tqdm = "==4.62.3"
traitlets = "==5.8.0"
typing-extensions = "==4.0.0"
urllib3 = "==1.26.13"
wcwidth = "==0.2.5"
werkzeug = "==2.0.2"
zipp = "==3.11.0"
"zope.event" = "==4.6"
"zope.interface" = "==5.5.2"

[dev-packages]

[requires]
python_version = "3.8"
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