QPyTorch 项目使用教程

QPyTorch 项目使用教程

QPyTorchLow Precision Arithmetic Simulation in PyTorch项目地址:https://gitcode.com/gh_mirrors/qp/QPyTorch

1. 项目的目录结构及介绍

QPyTorch 项目的目录结构如下：

QPyTorch/
├── docs/
│   ├── _build/
│   ├── _static/
│   ├── _templates/
│   ├── conf.py
│   ├── index.rst
│   ├── Makefile
│   └── ...
├── examples/
│   ├── cifar10/
│   ├── imagenet/
│   ├── lp_train/
│   └── ...
├── qtorch/
│   ├── __init__.py
│   ├── quant/
│   ├── optim/
│   └── ...
├── tests/
│   ├── __init__.py
│   ├── test_quant.py
│   └── ...
├── .gitignore
├── LICENSE
├── README.md
├── requirements.txt
├── setup.py
└── ...

目录结构介绍

• docs/: 包含项目的文档文件，使用 Sphinx 生成。
• examples/: 包含项目的示例代码，如 CIFAR-10 和 ImageNet 的低精度训练示例。
• qtorch/: 包含 QPyTorch 的核心代码，包括量化、优化等模块。
• tests/: 包含项目的测试代码，用于确保代码的正确性。
• .gitignore: Git 忽略文件列表。
• LICENSE: 项目的开源许可证。
• README.md: 项目的介绍和使用说明。
• requirements.txt: 项目的依赖文件。
• setup.py: 项目的安装脚本。

2. 项目的启动文件介绍

QPyTorch 项目的启动文件主要是 setup.py，它负责项目的安装和配置。

setup.py

from setuptools import setup, find_packages

setup(
    name="qtorch",
    version="0.0.1",
    packages=find_packages(),
    install_requires=[
        "torch>=1.5.0",
        "numpy",
        "matplotlib",
    ],
    author="Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa",
    author_email="example@example.com",
    description="A Low-Precision Arithmetic Simulation Framework",
    long_description=open("README.md").read(),
    long_description_content_type="text/markdown",
    url="https://github.com/Tiiiger/QPyTorch",
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    python_requires='>=3.6',
)

启动文件介绍

• setup.py: 使用 setuptools 进行项目的打包和安装，定义了项目的名称、版本、依赖等信息。

3. 项目的配置文件介绍

QPyTorch 项目的配置文件主要是 requirements.txt 和 conf.py。

requirements.txt

torch>=1.5.0
numpy
matplotlib

conf.py

# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html

# -- Path setup --------------------------------------------------------------

# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import os
import sys
sys.path.insert(0, os.path.abspath('..'))

# -- Project information -----------------------------------------------------

project = 'QPyTorch'
copyright = '2019, Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa'
author = 'Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa'

# The full version, including alpha/beta/rc tags
release = '0.0.1'

# -- General configuration ---------------------------------------------------

# Add any Sphinx extension module names here, the extensions will be loaded
# after sphinx.ext.autodoc
extensions = [

QPyTorchLow Precision Arithmetic Simulation in PyTorch项目地址:https://gitcode.com/gh_mirrors/qp/QPyTorch