自己写一个包¶

npnn
├── LICENSE
├── dataset.py
├── model.py
├── pyproject.toml
├── readme.md
├── requirements.txt
├── search.py
├── search_result.csv
├── src
│   └── npnn
│       ├── __init__.py
│       ├── autograd.py
│       ├── base.py
│       ├── functional.py
│       ├── nn.py
│       └── optim.py
├── test.py
├── tests
│   └── test_autograd.py
├── train.py
├── utils.py
└── viz.py

npnn
├── LICENSE                 # 许可文件
├── pyproject.toml          # Python项目配置文件
├── readme.md               # readme
├── src                     # Python项目源代码
│   └── npnn                # module
│       ├── __init__.py     # module初始化方法
│       ├── autograd.py     # 反向传播算法
│       ├── base.py         # 基类
│       ├── functional.py   # 函数操作
│       ├── nn.py           # 神经网络
│       └── optim.py        # 优化器
├── tests                   # pytest测试
│   └── test_autograd.py    # 测试具体内容

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "npnn"
version = "0.1.1"
dependencies = [
  "numpy"
]
requires-python = ">=3.9"
authors = [
  { name="Yang Zhang", email="[email protected]" },
]
description = "NumPy Neural Network"
readme = "readme.md"
license = {file = "LICENSE"}
keywords = ["numpy", "neural network", "machine learning", "autograd"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

[project.optional-dependencies]
cuda11x = ["cupy-cuda11x"]
cuda12x = ["cupy-cuda12x"]

python -m pip install npnn[cuda12x]

[project.urls]
Homepage = "https://github.com/AIboy996/npnn"

python -m pip install -U pytest

python -m pip install -U build
python -m build

dist
├── npnn-0.1.1-py3-none-any.whl
└── npnn-0.1.1.tar.gz

python -m pip install -U twine
python -m twine upload -u __token__ -p PYPI_API_TOKEN --skip-existing dist/*

# test and publish Python Package to pypi
name: pytest

on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.9", "3.10", "3.11", "3.12"]
    steps:
    - uses: actions/checkout@v4
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v5
      with:
        python-version: ${{ matrix.python-version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install flake8 pytest
        python -m pip install -e .
        python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
    - name: Lint with flake8
      run: |
        # stop the test if there are Python syntax errors or undefined names
        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
    - name: Test with pytest
      run: |
        pytest

  publish:
    needs: test
    runs-on: ubuntu-latest
    environment: pypi_publish
    permissions:
      contents: read
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.10'
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install build twine
      - name: Build package
        run: python -m build
      - name: Publish package
        run: python -m twine upload -u __token__ -p ${{ secrets.PYPI_API_TOKEN }} --skip-existing dist/*