new update

Section05-Neural-Networks-and-Language-Modeling/section05-test.tex

@@ -20,6 +20,9 @@
 \usepackage{subfigure}
 \usepackage{tikz-3dplot}
 
+\usepackage{tcolorbox}
+\tcbuselibrary{skins}
+
 \usetikzlibrary{matrix}
 \usetikzlibrary{arrows,decorations.pathreplacing}
 \usetikzlibrary{shadows} % LATEX and plain TEX when using Tik Z
@@ -111,70 +114,34 @@
 \newcounter{mycount3}
 \newcounter{mycount4}
 
-
 %%%------------------------------------------------------------------------------------------------------------
-%%% 张量的单元操作
-\begin{frame}{张量的单元操作}
+%%% 定义XTensor
+\begin{frame}{定义XTensor}
 \begin{itemize}
-\item 神经网络$\textbf{y}=f(\textbf{x}\cdot \textbf{w} + \textbf{b})$也包括一些张量的单元操作（element-wise opertation）
-	\begin{itemize}
-	\item 加法：$\textbf{s}+\textbf{b}$，其中$\textbf{s} = \textbf{x}\cdot \textbf{w}$
-	\item 激活函数：$f(\cdot)$
-	\end{itemize}
-\item<2-> \textbf{单元加}就是对张量中的每个位置都进行加法
-	\begin{itemize}
-	\item 一般要求两个张量的形状是一样的
-	\item<3-> 不过，这里可以使用加法的\textbf{广播}，重复利用一个张量进行加法，并不要求两个张量形状相同
-	\end{itemize}
+\item NiuTensor张量由类XTensor定义
+    \begin{itemize}
+    \item \textbf{必须指定}：张量的阶和各个方向维度的大小，关于维度的约定和传统多维数组一样
+    \item \textbf{可以指定}：张量数据类型、稠密程度等等
+    \end{itemize}
 \end{itemize}
 
-\vspace{-1.5em}
-\begin{center}
-\begin{tikzpicture}
-\visible<3->{
-\begin{scope}
-\setcounter{mycount1}{1}
-\draw[step=0.5cm,color=orange,thick] (-1,-0.5) grid (1,0.5);
-\foreach \y in {+0.25,-0.25}
-  \foreach \x in {-0.75,-0.25,0.25,0.75}{
-    \node [fill=orange!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
-    \addtocounter{mycount1}{1};
-  }
-\node [anchor=south] (varlabel) at (0,0.6) {$\textbf{s}$};
-\end{scope}
-\begin{scope}[xshift=1.5in]
-\setcounter{mycount1}{1}
-\draw[step=0.5cm,color=ugreen,thick] (-1,-0) grid (1,0.5);
-\foreach \y in {+0.25}
-  \foreach \x in {-0.75,-0.25,0.25,0.75}{
-    \node [fill=green!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {1};
-    \addtocounter{mycount1}{1};
-  }
-\node [anchor=center] (plabel) at (-4.5em,0) {\huge{\textbf{$+$}}};
-\node [anchor=south] (varlabel) at (0,0.6) {$\textbf{b}$};
-\end{scope}
-\begin{scope}[xshift=3in]
-\setcounter{mycount1}{2}
-\draw[step=0.5cm,color=orange,thick] (-1,-0.5) grid (1,0.5);
-\foreach \y in {+0.25,-0.25}
-  \foreach \x in {-0.75,-0.25,0.25,0.75}{
-    \node [fill=orange!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
-    \addtocounter{mycount1}{1};
-  }
-\node [anchor=center] (plabel) at (-4.5em,0) {\huge{\textbf{$=$}}};
-\node [anchor=south] (varlabel) at (0,0.6) {$\textbf{s+b}$};
-\end{scope}
-}
+\begin{tcolorbox}[enhanced,frame engine=empty,boxrule=0.1mm,size=title,colback=blue!10!white]
+\begin{flushleft}
+{\scriptsize
+\begin{tabbing}
 
-\end{tikzpicture}
-\end{center}
+\texttt{XTensor tensor;} \hspace{12em} \= // 声明张量tensor \\
+\texttt{int sizes[3] = \{2,3,4\};} \> // 张量的形状为2*3*4 \\
 
-\begin{itemize}
-\item<4-> 类似的，我们可以对所有位置做加法、乘法等等一系列算数操作，也包括激活函数
-\end{itemize}
+\texttt{InitTensor(\&tensor, 3, sizes, X\_FLOAT);} \> // 定义形状为sizes的三阶张量
+\end{tabbing}
+}
+\end{flushleft}
+\end{tcolorbox}
 
 \end{frame}
 
+
 %%%------------------------------------------------------------------------------------------------------------
 \subsection{参数学习 - 反向传播}