pytorch-tutorial/pyproject.toml at 9d37f4fc9c95c9f2c6b2d956d5c7c1037974a0ab · yunjey/pytorch-tutorial · GitHub

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[project]
name = "tutorials"
version = "0.1.0"
description = "Add your description here"
requires-python = ">=3.9"
authors = [
    { name = "lihanghang", email = "lihanghang@guazi.com" }  # 对象格式，符合新版规范
]
dependencies = [
    "matplotlib>=3.9.4",
    "onnx>=1.19.1",
    "onnxruntime>=1.20.1",
    "onnxscript>=0.5.7",
    "pandas>=2.3.3",
    "setuptools>=80.9.0",
    "tabulate>=0.9.0",
    "tensordict>=0.10.0",
    "torchvision>=0.23.0",
]

[tool.poetry.dependencies]
aiohttp = "3.12.14"                  # 异步HTTP客户端/服务器库
urllib3 = "2.6.2"                    # HTTP客户端库，提供连接池和线程安全
orjson = ">=3.9.14,<4.0.0"           # 高性能JSON序列化/反序列化库
uuid = "^1.30"                       # 用于生成和操作UUID的库
torch = "2.8.0"                      # PyTorch核心库，深度学习框架
contourpy = "1.3.0"                  # 用于绘制等高线的Python库，matplotlib依赖
cycler = "0.12.1"                    # 用于生成循环样式的工具库，matplotlib依赖
fonttools = "4.60.2"                  # 用于处理字体文件的库，matplotlib依赖
kiwisolver = "1.4.7"                  # 用于约束求解的库，matplotlib依赖
pyparsing = "3.3.1"                   # 用于解析字符串的库，matplotlib依赖
importlib-resources = "6.5.2"         # 用于访问Python包资源的库
matplotlib = "3.9.4"                  # 数据可视化库，用于创建图表和图形
python-dateutil = "2.9.0.post0"       # 日期时间处理扩展库，提供更强大的日期操作
six = "1.17.0"                       # Python 2和Python 3兼容性库
click = "8.1.8"                      # 命令行界面开发库，用于创建命令行工具
joblib = "1.5.3"                     # 用于并行计算和任务调度的库，常用于机器学习
nltk = "3.9.2"                       # 自然语言处理工具包，包含语料库和算法
regex = "2025.11.3"                  # 正则表达式扩展库，提供比标准re更强大的功能
tqdm = "4.67.1"                      # 进度条库，用于显示循环和任务的进度
pycocotools = "2.0.11"                # COCO数据集工具库，用于目标检测、分割等任务
argparse = "1.4.0"                    # 命令行参数解析库，用于处理命令行输入
pandas = "2.3.3"
pytz = "2025.2"
tzdata = "2025.3"
tensordict = "0.10.0"
cloudpickle = "3.1.2"
importlib-metadata = "8.7.1"
pyvers = "0.1.0"
pillow = "11.3.0"
setuptools = "80.9.0"
[[tool.poetry.source]]
name = "aliyun"
url = "https://mirrors.huaweicloud.com/repository/pypi/simple/"
priority = "primary"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"