Package Health Score

85 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

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Popularity

Popular

GitHub Stars: 728
Forks: 172
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package paddle2onnx, we found that it has been starred 728 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 17, 2024
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 194
Open PR: 3
Last Release: 27 days ago
Last Commit: 9 days ago

Further analysis of the maintenance status of paddle2onnx based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that paddle2onnx demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 50
Funding: No

With more than 10 contributors for the paddle2onnx repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.8

Age: 4 years
Latest Release: 27 days ago
Dependencies: N/A
Versions: 44
Maintainers: 2
Wheels: Linux

Readme

Paddle2ONNX

简体中文 | English

1 Paddle2ONNX 简介

Paddle2ONNX 支持将 PaddlePaddle 模型格式转化到 ONNX 模型格式。通过 ONNX 可以完成将 Paddle 模型到多种推理引擎的部署，包括 TensorRT/OpenVINO/MNN/TNN/NCNN，以及其它对 ONNX 开源格式进行支持的推理引擎或硬件。

2 Paddle2ONNX 环境依赖

Paddle2ONNX 本身不依赖其他组件，但是我们建议您在以下环境下使用 Paddle2ONNX ：

PaddlePaddle == 2.6.0
onnxruntime >= 1.10.0

3 安装 Paddle2ONNX

如果您只是想要安装 Paddle2ONNX 且没有二次开发的需求，你可以通过执行以下代码来快速安装 Paddle2ONNX

pip install paddle2onnx

如果你希望对 Paddle2ONNX 进行二次开发，请按照Github 源码安装方式编译Paddle2ONNX。

4 快速使用教程

4.1 获取PaddlePaddle部署模型

Paddle2ONNX 在导出模型时，需要传入部署模型格式，包括两个文件

model_name.pdmodel: 表示模型结构
model_name.pdiparams: 表示模型参数

4.2 调整Paddle模型

如果对Paddle模型的输入输出需要做调整，可以前往Paddle 相关工具查看教程。

4.3 使用命令行转换 PaddlePaddle 模型

你可以通过使用命令行并通过以下命令将Paddle模型转换为ONNX模型

paddle2onnx --model_dir model_dir \
            --model_filename inference.pdmodel \
            --params_filename inference.pdiparams \
            --save_file model.onnx

可调整的转换参数如下表:

参数	参数说明
--model_dir	配置包含 Paddle 模型的目录路径
--model_filename	[可选] 配置位于 `--model_dir` 下存储网络结构的文件名
--params_filename	[可选] 配置位于 `--model_dir` 下存储模型参数的文件名称
--save_file	指定转换后的模型保存目录路径
--opset_version	[可选] 配置转换为 ONNX 的 OpSet 版本，目前支持 7~16 等多个版本，默认为 9
--enable_onnx_checker	[可选] 配置是否检查导出为 ONNX 模型的正确性, 建议打开此开关，默认为 True
--enable_auto_update_opset	[可选] 是否开启 opset version 自动升级功能，当低版本 opset 无法转换时，自动选择更高版本的 opset进行转换，默认为 True
--deploy_backend	[可选] 量化模型部署的推理引擎，支持 onnxruntime/rknn/tensorrt, 默认为 onnxruntime
--save_calibration_file	[可选] TensorRT 8.X版本部署量化模型需要读取的 cache 文件的保存路径，默认为 calibration.cache
--version	[可选] 查看 paddle2onnx 版本
--external_filename	[可选] 当导出的 ONNX 模型大于 2G 时，需要设置 external data 的存储路径，推荐设置为：external_data
--export_fp16_model	[可选] 是否将导出的 ONNX 的模型转换为 FP16 格式，并用 ONNXRuntime-GPU 加速推理，默认为 False
--custom_ops	[可选] 将 Paddle OP 导出为 ONNX 的 Custom OP，例如：--custom_ops '{"paddle_op":"onnx_op"}，默认为 {}

4.4 裁剪ONNX

如果你需要调整 ONNX 模型，请参考 ONNX 相关工具

4.5 优化ONNX

如你对导出的 ONNX 模型有优化的需求，推荐使用 onnxslim 对模型进行优化:

pip install onnxslim
onnxslim model.onnx slim.onnx

5 代码贡献

繁荣的生态需要大家的携手共建，开发者可以参考 Paddle2ONNX 贡献指南来为 Paddle2ONNX 贡献代码。

6 License

Provided under the Apache-2.0 license.

7 感谢捐赠

感谢 PaddlePaddle 团队提供服务器支持 Paddle2ONNX 的 CI 建设。
感谢社区用户 chenwhql, luotao1, goocody, jeff41404, jzhang553, ZhengBicheng 于2024年03月28日向 Paddle2ONNX PMC 捐赠共 10000 元人名币用于 Paddle2ONNX 的发展。

FAQs

What is paddle2onnx?

Export PaddlePaddle to ONNX. Visit Snyk Advisor to see a full health score report for paddle2onnx, including popularity, security, maintenance & community analysis.

Is paddle2onnx popular?

The python package paddle2onnx receives a total of 16,313 weekly downloads. As such, paddle2onnx popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is paddle2onnx well maintained?

We found that paddle2onnx demonstrated a healthy version release cadence and project activity. It has a community of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is paddle2onnx safe to use?

The python package paddle2onnx was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 12 November-2024, at 07:37 (UTC).

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