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48 lines
1.8 KiB
Markdown
48 lines
1.8 KiB
Markdown
# 通用信息抽取 UIE C++部署示例
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本目录下提供`infer.cc`快速完成[UIE模型](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie)在CPU/GPU的示例。
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在部署前，需确认以下两个步骤
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- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../docs/environment.md)
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- 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../docs/compile/prebuilt_libraries.md)
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以Linux上uie-base模型推理为例，在本目录执行如下命令即可完成编译测试。
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```
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# UIE目前还未发布，当前需开发者自行编译FastDeploy，通过如下脚本编译得到部署库fastdeploy-linux-x64-dev
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy
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mkdir build && cd build
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cmake .. -DENABLE_ORT_BACKEND=ON \
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-DENABLE_VISION=ON \
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-DENABLE_PADDLE_BACKEND=ON \
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-DENABLE_TEXT=ON \
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-DWITH_GPU=ON \
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-DCMAKE_INSTALL_PREFIX=${PWD}/fastdeploy-linux-x64-gpu-dev
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make -j8
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make install
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# 编译模型examples代码（SDK中包含了examples代码）
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cd ../examples/text/uie/cpp
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mkdir build
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cd build
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../build/fastdeploy-linux-x64-gpu-dev
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make -j
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# 下载uie-base模型以及词表
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wget https://bj.bcebos.com/fastdeploy/models/uie/uie-base.tgz
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tar -xvfz uie-base.tgz
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# CPU 推理
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./infer_demo uie-base 0
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# GPU 推理
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./infer_demo uie-base 1
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```
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## 模型获取
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UIE 模型介绍可以参考https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie 。其中，在完成训练后，需要将训练后的模型导出成推理模型。该步骤可参考该文档完成导出：https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie#%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2 。
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