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Add support for forward and reverse high-order automatic differentiation mechanism #41919

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merged 277 commits into from
May 18, 2022

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0x45f
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@0x45f 0x45f commented Apr 18, 2022

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本pr配合pr #41201 一起构成一套新的自动微分机制
该自动微分机制目前只在静态图中生效,在一部分算子上,支持前向和反向的高阶自动微分。

本pr中包含的内容包括如下几个部分:
(1)在C++中注册的自动微分基础算子的python wrapper

(2)在自动微分基础算子之上定义的orig2prim,prim2orig,jvp,transpose规则

(3)在4种规则之上形成的orig2prim,prim2orig,linearize,transpose四种变换

       a、orig2prim paddle原生算子转化为自动微分基础算子
       b、prim2orig 自动微分基础算子转化为paddle原生算子
       c、linearize 根据前向计算计算图生成前向微分计算图
       d、transpose 根据前向微分计算图生成反向微分计算图

(4)提供出的用户接口

       a、沿用静态图中已经存在的gradients和minimize接口
       b、提供基于自动微分基础算子的自动微分机制切换的全局控制接口,enable_prim, disable_prim, prim_enabled
       c、将基础算子体系转化到原生算子体系以支撑执行的接口prim2orig

veyron95 and others added 30 commits September 28, 2021 08:54
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@levi131
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levi131 commented May 17, 2022

LGTM

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@TCChenlong TCChenlong left a comment

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LGTM

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@XieYunshen XieYunshen left a comment

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LGTM for set_tests_properties(test_gradients_and_minimize PROPERTIES TIMEOUT 60)

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@XiaoguangHu01 XiaoguangHu01 left a comment

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LGTM

@levi131 levi131 merged commit f6ee202 into PaddlePaddle:develop May 18, 2022
@0x45f 0x45f deleted the science-add-rules-ut branch May 18, 2022 08:05
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9 participants