Skip to content

Add FedAvgM baseline #4790

Add FedAvgM baseline

Add FedAvgM baseline #4790

Workflow file for this run

name: E2E
on:
push:
branches:
- main
pull_request:
branches:
- main
env:
FLWR_TELEMETRY_ENABLED: 0
jobs:
pytorch:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install dependencies
run: |
cd e2e/pytorch
python -m poetry install
- name: Cache Datasets
uses: actions/cache@v2
with:
path: "./e2e/pytorch/data"
key: pytorch-datasets
- name: Download Datasets
run: |
cd e2e/pytorch
python -c "from torchvision.datasets import CIFAR10; CIFAR10('./data', download=True)"
- name: Run edge client test
run: |
cd e2e/pytorch
./test.sh
- name: Run virtual client test
run: |
cd e2e/pytorch
python simulation.py
tensorflow:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install dependencies
run: |
cd e2e/tensorflow
python -m poetry install
- name: Cache Datasets
uses: actions/cache@v2
with:
path: "~/.keras"
key: keras-datasets
- name: Download Datasets
run: |
python -c "import tensorflow as tf; tf.keras.datasets.cifar10.load_data()"
- name: Run edge client test
run: |
cd e2e/tensorflow
./test.sh
- name: Run virtual client test
run: |
cd e2e/tensorflow
python simulation.py
bare:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install dependencies
run: |
cd e2e/bare
python -m poetry install
- name: Run edge client test
run: |
cd e2e/bare
./test.sh
- name: Run virtual client test
run: |
cd e2e/bare
python simulation.py
pandas:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/pandas
python -m poetry install
- name: Cache Datasets
uses: actions/cache@v2
with:
path: "./e2e/pandas/data"
key: pandas-datasets
- name: Download Datasets
run: |
cd e2e/pandas
mkdir -p data
python -c "from sklearn.datasets import load_iris; load_iris(as_frame=True)['data'].to_csv('./data/client.csv')"
- name: Run edge client test
run: |
cd e2e/pandas
./test.sh
- name: Run virtual client test
run: |
cd e2e/pandas
python simulation.py
jax:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/jax
python -m poetry install
- name: Run edge client test
run: |
cd e2e/jax
./test.sh
- name: Run virtual client test
run: |
cd e2e/jax
python simulation.py
mxnet:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/mxnet
python -m poetry install
- name: Download Datasets
run: |
cd e2e/mxnet
python -c "import mxnet as mx; mx.test_utils.get_mnist()"
- name: Run edge client test
run: |
cd e2e/mxnet
./test.sh
- name: Run virtual client test
run: |
cd e2e/mxnet
python simulation.py
scikit:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/scikit-learn
python -m poetry install
- name: Download Datasets
run: |
cd e2e/scikit-learn
python -c "import openml; openml.datasets.get_dataset(554)"
- name: Run edge client test
run: |
cd e2e/scikit-learn
./test.sh
- name: Run virtual client test
run: |
cd e2e/scikit-learn
python simulation.py
opacus:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/opacus
python -m poetry install
- name: Cache Datasets
uses: actions/cache@v2
with:
path: "./e2e/opacus/data"
key: pytorch-datasets
- name: Download Datasets
run: |
cd e2e/opacus
python -c "from torchvision.datasets import CIFAR10; CIFAR10('./data', download=True)"
- name: Run edge client test
run: |
cd e2e/opacus
./test.sh
- name: Run virtual client test
run: |
cd e2e/opacus
python simulation.py
fastai:
runs-on: ubuntu-22.04
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Bootstrap
uses: ./.github/actions/bootstrap
with:
python-version: 3.8
- name: Install dependencies
run: |
cd e2e/fastai
python -m poetry install
- name: Cache Datasets
uses: actions/cache@v2
with:
path: "~/.fastai"
key: fastai-datasets
- name: Download Datasets
run: |
cd e2e/fastai
python -c "from fastai.vision.all import *; untar_data(URLs.MNIST)"
- name: Run edge client test
run: |
cd e2e/fastai
./test.sh
- name: Run virtual client test
run: |
cd e2e/fastai
python simulation.py