机器学习系统 UW CSE 599W: Systems for ML 笔记 (上篇)
这是一门由陈天奇大佬讲的机器学习系统课程,UW的网站上放出了这么课的相关信息,本文是这门课的课堂笔记。
这门课,上对接的是Tensorflow, Pytorch, Caffe, MXNet这类机器学习计算框架,下对接的是CPU/显卡/手机/单片机。。。形态各异的硬件设备。
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)
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)
但是UW只放出了课件和作业,所以自学起来可能比较凌乱,这里参考了各位大佬的其他材料。
1. 课程概览 (lecture 3)
Fig1.1 课程概览 |
机器学习系统就处在这两者之间。
这门课程把中间地带划分成三大块:
- User API
- System Components
- Architecture
1.1 User API
第一层User API 指的是运算框架比如tensorflow或者pytorch之类的把运算进行封装,使得DL开发者不需要从自动求导写起,并且把用户build的模型转化成计算图(computational graph)。
Fig1.2 Logistic Regression的计算图 |
计算图,这个概念在接触过tensorflow以及pytorch应该或多或少听说过他俩的一个区别是tf是静态计算图,pytorch是动态计算图
![]() |
Fig1.3 静态vs动态计算图 |
1.2 System Components
到了第二层系统组件做的事情就是对于计算图的优化。
比如说会做的有
deadcode检测,内存规划和优化,并行调度,
Fig1.4 并行调度优化 |
1.3 Architecture
第三层就是把优化好的计算图部署到对应硬件上的操作。
现在的做法是各个厂商自己出一套对于model serving的支持,比如Intel的OpenVINO,ARM的ARM NN,NV的TensorRT等。但是各自对于计算图中算子的支持度不同,也无法迁移。
相比TensorFlow等这样的框架孱弱的Inference性能,各大设备厂商的Inference框架性能都比较不错),比如Intel的OpenVINO,ARM的ARM NN,NV的TensorRT等,但是这里面有一个问题,各大设备厂商的框架并不具备通用性,比如对训练框架模型产生的算子支持不全(尤其是像TensorFlow这种算子很多的),通常在一个设备厂商的Inference框架能跑,但是不一定在另外一个设备厂商的Inference框架上能跑。
类比自编程语言到不同硬件的历史,最终这个问题在编译器层面得到了解决,于是乎TVM所做的核心工作也是成为计算图到硬件的编译器。
对于TVM的整体工作可以看这篇: 手把手带你遨游TVM
课程接下来的部分就是按照上面说的三个层面详细展开。
2. Automatic Differentiation (Lecture 4)
微分之于Deep learning是非常重要的一个运算,然而计算机自动实现微分不是一件很直接的事情,实现自动求微分也有很多不同的途径。
2.1 Symbolic Differentiation
符号微分的做法是模拟人类计算微分的做法,计算出对应的表达式,然后把数值放进变量,得到最后的值。
比如要实现对于函数$g(x,y) = 5 + xy$对x的偏导,那就先算出$\frac{\partial g(x,y)}{\partial x} = 0 + (0*x + y * 1)$ 体现在计算机中也就是会生成对应的导数计算图。
Fig2.1 符号微分 |
这样做有两个缺点,一个是原式必须写成closed-form也就是必须直接的写成确定的表达式,不能自动处理自定义的函数(虽然可能是内建函数的组合);另一个缺点在于,这样做会有表达式膨胀的问题:可能原表达式并不复杂但是对其求导时候生成的计算图会变得非常复杂。并且我们要的只是最后的数值,中间过程的存储并没有意义
Fig2.2 表达式膨胀问题 |
2.2 Numerical Differentiation
根据导数的定义,$f(\boldsymbol{x})$在$x_i$处的导数定义为
为了防止truncation error,可以改进为
然而这样做的问题在于无法避免rounding error,并且计算时参数量也很大性能并不好(需要控制变量,对每个入参跑一边计算)
2.3 自动微分(正向)
所有数值计算归根结底都是一系列有限的可微算子的组合 — <An introduction to automatic differentiation>
**在看了很多相关的文章以后发现这篇博客讲的最为清楚,mark之
自动微分可以理解为是公式微分和数值微分的结合,他用到了一个dual number的数学性质。使得在计算前向的时候通过加入对偶数,可以得到他的导数。
(关于dual number 和自动微分的关系可以见wiki)
简言之就是把原来的变量$x$, 替换为$x+ x'\epsilon$
其中$x'$是一个实数,$\epsilon$是一个特殊的符号,他有$\epsilon^2 = 0$的性质,在此基础上,这些运算成立:
$(x+x'\epsilon) + (y+y'\epsilon) = x + y + (x'+y')\epsilon$
$(x+x'\epsilon)\cdot(y+y'\epsilon) = xy + xy'\epsilon + x'y\epsilon + x'y'\epsilon^2 = xy + (xy' + x'y)\epsilon$
进一步,对于多项式$P(x) = p_0 + p_1x + p_2x^2 + \cdots + p_nx^n$
其中$P^{(1)}$表示$P$对第一个参数的导数,$x'$这里并不是导数,而是一个可以任意选择的实数。
并且可以证得:
$h(a+b\epsilon) = h(a) + b \cdot h'(a)\epsilon$, 所以计算一次$h(a+\epsilon)$就可以得到$h(a)$和$h'(a)$
下图表示了通过这种自动微分怎么在计算出$f(3,4)$的同时计算$\frac{\partial f}{\partial x}(3,4)$
![]() |
Fig2.3 正向自动微分例子 |
从下往上看,叶子结点层是函数的输入,$x = 3+\epsilon, y = 4$然后沿箭头往上运算,在到达root的时候算出了$f(3,4) = 42$的同时也计算出了$\frac{\partial f}{\partial x}(3,4) = 24$
这时候虽然比起之前的方式已经有了很大的进步,但是对于一个1000维输入的函数,我们如果要对其中每个自变量求偏导的话我们就要计算1000遍。
2.3.2 反向自动微分
这种方式也是Tensorflow采用的求微分方案,达成的效果是,计算所有的偏导只需要跑2遍计算图,并且没有用到上述的dual number这样深奥的数学性质,这里用到的只有求导链式法则。
![]() |
Fig2.4 反向自动微分例子 |
它记录了每个运算的中间结果,然后根据它们可以从根到叶自上而下的算出$f$对每个中间过程的偏导,到了叶节点一层也就算出了对所有自变量的偏导。
这个自动求导方式非常适合于很多输入一个输出的函数,很多DL任务就是这样的情况。另一个优势在于,他并不要求这个函数处处可导,只要在对应的输入点可导就能计算。
2.4 AutoDiff Algorithm
然而能不能做得更好的?
缺点1:这里其实需要在正向传播的时候在内存中保留所有中间过程,以待反向传播时候用到。
缺点2:缺乏灵活性,比如如果要求二阶导呢。
这门课中给出的做法是给反向传播建立一个新的计算图。
Fig2.5 构建求偏导计算图 |
根据黑色的正向传播的计算图,配合上链式法则和基础函数的求导规则,我们可以构建出红色的计算图,用于求所有自变量的偏导。
因为这里构建了计算图,所以在正向求$f$的时候不需要保存所有的中间数值,只需要把最后的函数输出丢给红色计算图。
并且作为计算图(DAG),它也可以进行一些computional graph optimization(变量值共享等等)
Fig2.6 两种自动求导的比较 |
之于这个的代码实现其实也比较直观:
从正向计算图的拓扑排序的逆序作为起点开始构建,利用链式法则完成整体构建。
忘了拓扑排序的刷一下Leetcode207 Course schedule
Fig2.7 AutoDiff 伪代码 |
这门课的Assignment 1 也是手动实现Audo-diff
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