Package Health Score

57 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

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Popularity

Small

GitHub Stars: 636
Forks: 145
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package paddle2onnx1, we found that it has been starred 636 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 6, 2022
Direct Vulnerabilities: 0
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0
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Indirect Vulnerabilities: 0
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0
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License Risk: 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

Inactive

Commit Frequency

Open Issues: 392
Open PR: 22
Last Release: 2 years ago
Last Commit: 27 days ago

Further analysis of the maintenance status of paddle2onnx1 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for paddle2onnx1 is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: 40
Funding: No

With more than 10 contributors for the paddle2onnx1 repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.*

Age: 2 years
Latest Release: 2 years ago
Dependencies: 3 Direct
Versions: 1
Maintainers: 1
Wheels: Linux, macOS

Readme

Paddle2ONNX

简体中文 | English

1 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。

感谢EasyEdge团队贡献的Paddle2Caffe, 支持将Paddle模型导出为Caffe格式，安装及使用方式参考Paddle2Caffe。

2 环境依赖

PaddlePaddle 2.6.0
onnxruntime >= 1.10.0

3 安装

针对PaddlePaddle2.5.2的用户可以直接运行以下命令行代码来安装P2O

pip install paddle2onnx

由于没有自动发包机制，针对PaddlePaddle2.6.0的用户，请按照Github 源码安装方式编译Paddle2ONNX。

4 使用

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 [注意] 这里需要注意，两个文件其中参数文件后辍为 .pdiparams，如你的参数文件后辍是 .pdparams ，那说明你的参数是训练过程中保存的，当前还不是部署模型格式。部署模型的导出可以参照各个模型套件的导出模型文档。

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 命令行转换

使用如下命令将Paddle模型转换为ONNX模型

paddle2onnx --model_dir saved_inference_model \
            --model_filename model.pdmodel \
            --params_filename model.pdiparams \
            --save_file model.onnx \
            --enable_dev_version True

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 False
--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、tensorrt 或 others，当选择 others 时，所有的量化信息存储于 max_range.txt 文件中，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，请参考如下工具：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 onnx-simplifier，也可使用如下命令对模型进行优化

python -m paddle2onnx.optimize --input_model model.onnx --output_model new_model.onnx

5 License

Provided under the Apache-2.0 license.

6 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。

paddle2onnx1 dependencies

onnx protobuf six

FAQs

What is paddle2onnx1?

Export PaddlePaddle to ONNX. Visit Snyk Advisor to see a full health score report for paddle2onnx1, including popularity, security, maintenance & community analysis.

Is paddle2onnx1 popular?

The python package paddle2onnx1 receives a total of 36 weekly downloads. As such, paddle2onnx1 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is paddle2onnx1 well maintained?

We found indications that paddle2onnx1 is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is paddle2onnx1 safe to use?

The python package paddle2onnx1 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 22 April-2024, at 14:17 (UTC).

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