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昆仑XPU芯片安装及运行飞桨
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服务器部署 — Paddle Inference
移动端/嵌入式部署 — Paddle Lite
模型压缩 — PaddleSlim
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分布式训练快速开始
使用FleetAPI进行分布式训练
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飞桨产品硬件支持表
昆仑XPU芯片运行飞桨
飞桨对昆仑XPU芯片的支持
飞桨框架昆仑XPU版安装说明
飞桨框架昆仑XPU版训练示例
飞桨预测库昆仑XPU版安装及使用示例
海光DCU芯片运行飞桨
飞桨框架ROCm版支持模型
飞桨框架ROCm版安装说明
飞桨框架ROCm版训练示例
飞桨框架ROCm版预测示例
昇腾NPU芯片运行飞桨
飞桨框架NPU版安装说明
飞桨框架昇腾NPU版训练示例
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hello paddle: 从普通程序走向机器学习程序
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使用LeNet在MNIST数据集实现图像分类
使用卷积神经网络进行图像分类
基于图片相似度的图片搜索
基于U-Net卷积神经网络实现宠物图像分割
通过OCR实现验证码识别
通过Sub-Pixel实现图像超分辨率
自然语言处理
用N-Gram模型在莎士比亚文集中训练word embedding
IMDB 数据集使用BOW网络的文本分类
使用注意力机制的LSTM的机器翻译
使用序列到序列模型完成数字加法
时序数据
通过AutoEncoder实现时序数据异常检测
强化学习
强化学习——Actor Critic Method
强化学习——Advantage Actor-Critic(A2C)
强化学习——Deep Deterministic Policy Gradient (DDPG)
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Release Note
get_lib
返回
代码示例
»
get_lib
在 GitHub 上修改
get_lib
¶
paddle.sysconfig.
get_lib
(
)
[源代码]
¶
获取包含libpadle_framework的目录。
返回
¶
字符串类型的文件目录。
代码示例
¶
import
paddle
include_dir
=
paddle
.
sysconfig
.
get_lib
()