[Doc] Fix the guidance of installation and setup

.pre-commit-config.yaml

@@ -0,0 +1,26 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.3.0
+    hooks:
+     - id: check-yaml
+       exclude: |
+          (?x)^(
+              meta.yaml
+          )$
+  - repo: https://github.com/pre-commit/mirrors-yapf
+    rev: v0.32.0
+    hooks:
+      - id: yapf
+  - repo: https://github.com/PyCQA/flake8
+    rev: 4.0.1
+    hooks:
+      - id: flake8
+  - repo: https://github.com/pycqa/isort
+    rev: 5.10.1
+    hooks:
+      - id: isort
+  - repo: https://github.com/regebro/pyroma
+    rev: "4.0"
+    hooks:
+      - id: pyroma
+        args: [--min=9, .]

README.md

@@ -26,21 +26,16 @@ We provide an end-to-end example for users to start running a standard FL course
 
 ### Step 1. Installation
 
-First of all, users need to clone the source code and install the required packages (we suggest python version >= 3.9).
+First of all, users need to clone the source code and install the required packages (we suggest python version >= 3.9). You can choose between the following two installation methods (via docker or conda) to install FederatedScope.
 
 ```bash
 git clone https://github.com/alibaba/FederatedScope.git
 cd FederatedScope
 ```
-You can install the dependencies from the requirement file:
-```
-# For minimal version
-conda install --file enviroment/requirements-torch1.10.txt -c pytorch -c conda-forge -c nvidia
+#### Use Docker
+
+You can build docker image and run with docker env (cuda 11 and torch 1.10):
 
-# For application version
-conda install --file enviroment/requirements-torch1.10-application.txt -c pytorch -c conda-forge -c nvidia -c pyg
-```
-or build docker image and run with docker env (cuda 11 and torch 1.10):
 ```
 docker build -f enviroment/docker_files/federatedscope-torch1.10.Dockerfile -t alibaba/federatedscope:base-env-torch1.10 .
 docker run --gpus device=all --rm -it --name "fedscope" -w $(pwd) alibaba/federatedscope:base-env-torch1.10 /bin/bash
@@ -56,12 +51,55 @@ enviroment/docker_files/federatedscope-torch1.10-application.Dockerfile
 Note: You can choose to use cuda 10 and torch 1.8 via changing `torch1.10` to `torch1.8`.
 The docker images are based on the nvidia-docker. Please pre-install the NVIDIA drivers and `nvidia-docker2` in the host machine. See more details [here](https://github.com/alibaba/FederatedScope/tree/master/enviroment/docker_files).
 
-Finally, after all the dependencies are installed, run:
+#### Use Conda
+
+We recommend using a new virtual environment to install FederatedScope:
+
+```bash
+conda create -n fs python=3.9
+conda activate fs
+```
+
+If your backend is torch, please install torch in advance ([torch-get-started](https://pytorch.org/get-started/locally/)). For example, if your cuda version is 11.3 please execute the following command:
+
+```bash
+conda install -y pytorch=1.10.1 torchvision=0.11.2 torchaudio=0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge
+```
+
+For users with Apple M1 chips:
+```bash
+conda install pytorch torchvision torchaudio -c pytorch
+# Downgrade torchvision to avoid segmentation fault
+python -m pip install torchvision==0.11.3
+```
+
+Finally, after the backend is installed, you can install FederatedScope from `source`, `conda` or `pip`:
+
+##### From source
+
 ```bash
 python setup.py install
 
 # Or (for dev mode)
-pip install -e .
+pip install -e .[dev]
+```
+
+##### From conda
+
+```bash
+conda install -c federatedscope federatedscope
+```
+
+##### From pip
+
+```bash
+python -m pip install federatedscope
+```
+
+Now, you have successfully installed the minimal version of FederatedScope. (**Optinal**) For application version including graph, nlp and speech, run:
+
+```bash
+bash enviroment/extra_dependencies_torch1.10-application.sh
 ```
 
 ### Step 2. Prepare datasets

enviroment/extra_dependencies_torch1.10-application.sh

@@ -0,0 +1,13 @@
+set -e
+
+# Graph
+conda install -y pyg==2.0.4 -c pyg
+conda install -y rdkit=2021.09.4=py39hccf6a74_0 -c conda-forge
+conda install -y nltk
+
+# Speech and NLP
+conda install -y sentencepiece textgrid typeguard -c conda-forge
+conda install -y transformers==4.16.2 tokenizers==0.10.3 datasets -c huggingface -c conda-forge
+conda install -y torchtext -c pytorch
+
+conda clean -a -y

federatedscope/__init__.py

@@ -1,14 +1,13 @@
-from __future__ import absolute_import
-from __future__ import print_function
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 
-__version__ = '0.1.0'
+__version__ = '0.1.9'
 
 
 def _setup_logger():
     import logging
 
-    logging_fmt = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s"
+    logging_fmt = "%(asctime)s (%(module)s:%(lineno)d)" \
+                  "%(levelname)s: %(message)s"
     logger = logging.getLogger("federatedscope")
     handler = logging.StreamHandler()
     handler.setFormatter(logging.Formatter(logging_fmt))

meta.yaml

@@ -0,0 +1,54 @@
+{% set name = "federatedscope" %}
+{% set version = "0.1.9" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/federatedscope-{{ version }}.tar.gz
+  sha256: f7802afa41b7edc34adb3128fbadd18ceb2a92521384e57b9d7cbb9aae894ea6
+
+build:
+  noarch: python
+  script: {{ PYTHON }} -m pip install . -vv
+  number: 0
+
+requirements:
+  host:
+    - pip
+    - python >=3.9
+  run:
+    - fvcore
+    - grpcio >=1.45.0
+    - grpcio-tools
+    - iopath
+    - numpy <1.23.0
+    - pandas
+    - protobuf ==3.19.4
+    - pympler
+    - python >=3.9
+    - pyyaml >=5.1
+    - scikit-learn >=1.0.2
+    - scipy ==1.7.3
+    - tensorboard
+    - tensorboardx
+    - wandb
+
+test:
+  imports:
+    - federatedscope
+  commands:
+    - pip check
+  requires:
+    - pip
+
+about:
+  home: https://github.com/alibaba/FederatedScope
+  summary: Federated learning package
+  license: Apache-2.0
+  license_file: LICENSE
+
+extra:
+  recipe-maintainers:
+    - rayrayraykk

setup.py

@@ -1,37 +1,62 @@
-from __future__ import absolute_import
-from __future__ import print_function
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 
 import setuptools
 
+__name__ = 'federatedscope'
+__version__ = '0.1.9'
+URL = 'https://github.com/alibaba/FederatedScope'
+
+minimal_requires = [
+    'numpy<1.23.0', 'scikit-learn==1.0.2', 'scipy==1.7.3', 'pandas',
+    'grpcio>=1.45.0', 'grpcio-tools', 'pyyaml>=5.1', 'fvcore', 'iopath',
+    'wandb', 'tensorboard', 'tensorboardX', 'pympler', 'protobuf==3.19.4'
+]
+
+test_requires = []
+
+dev_requires = test_requires + ['pre-commit']
+
+benchmark_hpo_requires = [
+    'configspace==0.5.0', 'hpbandster==0.7.4', 'smac==1.3.3', 'optuna==2.10.0'
+]
+
+# TODO: add requirements for pfl
+benchmark_pfl_requires = []
+
+# TODO: add requirements for htl
+benchmark_htl_requires = []
+
 with open("README.md", "r") as fh:
     long_description = fh.read()
 
 setuptools.setup(
-    name="federatedscope",
-    version="0.1.0",
+    name=__name__,
+    version=__version__,
     author="Alibaba Damo Academy",
-    author_email="",
+    author_email="[email protected]",
     description="Federated learning package",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="",
+    url=URL,
+    download_url=f'{URL}/archive/{__version__}.tar.gz',
+    keywords=['deep-learning', 'federated-learning', 'benchmark'],
     packages=[
         package for package in setuptools.find_packages()
-        if package.startswith('federatedscope')
-    ],
-    install_requires=[
-        'torch', 'networkx', 'numpy', 'grpcio>=1.45.0', 'grpcio-tools'
+        if package.startswith(__name__)
     ],
-    setup_requires=[],
-    extras_require={'yaml': ['yaml>=5.1']},
+    install_requires=minimal_requires,
+    extras_require={
+        'test': test_requires,
+        'dev': dev_requires,
+        'benchmark_hpo': benchmark_hpo_requires,
+        'benchmark_pfl': benchmark_pfl_requires,
+        'benchmark_htl': benchmark_htl_requires,
+    },
     license="Apache License 2.0",
     classifiers=[
         "Programming Language :: Python :: 3",
         "License :: OSI Approved :: Apache Software License",
         "Operating System :: OS Independent",
     ],
-    test_suite='nose.collector',
-    test_require=['nose'],
     python_requires='>=3.9',
 )