Merge pull request #167 from harvard-edge/check_main

fix hardcoded path

.github/workflows/build_pages.yml

@@ -1,4 +1,4 @@
-name: Check for build
+name: Check for build (Ubuntu)
 
 on:
   pull_request:
@@ -12,6 +12,8 @@ jobs:
       - uses: actions/checkout@v3
       - name: Setup Quarto
         uses: quarto-dev/quarto-actions/setup@v2
+      - name: Install TinyTeX
+        run: quarto install tinytex
       - name: Build on Ubuntu
         run: quarto render
       - name: Upload artifact from Ubuntu
@@ -21,18 +23,3 @@ jobs:
           name: _book-ubuntu
           path: _book
 
-  build-windows:
-    runs-on: windows-latest
-    steps:
-      - uses: actions/checkout@v3
-      - name: Setup Quarto
-        uses: quarto-dev/quarto-actions/setup@v2
-      - name: Build on Windows
-        run: quarto render
-      - name: Upload artifact from Windows
-        if: ${{ github.event_name == 'pull_request' }}
-        uses: actions/upload-artifact@v3
-        with:
-          name: _book-windows
-          path: _book
-

.github/workflows/build_pages_windows.yml

@@ -0,0 +1,24 @@
+name: Check for build (Windows)
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  build-windows:
+    runs-on: windows-latest
+    steps:
+      - uses: actions/checkout@v3
+      - name: Setup Quarto
+        uses: quarto-dev/quarto-actions/setup@v2
+      - name: Install TinyTeX
+        run: quarto install tinytex
+      - name: Build on Windows
+        run: quarto render
+      - name: Upload artifact from Windows
+        if: ${{ github.event_name == 'pull_request' }}
+        uses: actions/upload-artifact@v3
+        with:
+          name: _book-windows
+          path: _book

.gitignore

@@ -28,3 +28,5 @@ contents/*.html
 *.icloud
 
 /.luarc.json
+
+Machine-Learning-Systems.tex

README.md

@@ -8,6 +8,7 @@
 <p align="center">
 <a href="https://github.com/harvard-edge/cs249r_book"><img src="https://img.shields.io/github/all-contributors/harvard-edge/cs249r_book?color=ee8449" alt="Contributors Badge"/></a>
 <a href="https://github.com/harvard-edge/cs249r_book"><img src="https://github.com/harvard-edge/cs249r_book/actions/workflows/build_pages.yml/badge.svg" alt="Build Status Badge"/></a>
+<a href="https://github.com/harvard-edge/cs249r_book"><img src="https://github.com/harvard-edge/cs249r_book/actions/workflows/build_pages_windows.yml/badge.svg" alt="Build Status Badge"/></a>
 <a href="https://github.com/harvard-edge/cs249r_book"><img src="https://github.com/harvard-edge/cs249r_book/actions/workflows/markdown_linter.yml/badge.svg" alt="Markdown Linter Status Badge"/></a>
 </p>
 

_quarto.yml

@@ -131,7 +131,7 @@ crossref:
   appendix-delim: ":"
 
 filters:
-  - /Users/VJ/Documents/GitHub/cs249r_book/custom_callout.lua
+  - custom_callout.lua
 
 format:
   html:
@@ -263,7 +263,7 @@ format:
 
         \patchcmd{\chapter}{\thispagestyle{plain}}{\thispagestyle{fancy}}{}{}
 
-        \newfontfamily\tocfont{Palatino}
+        %\newfontfamily\tocfont{Times New Roman}
 
         \let\endtitlepage\relax
 
@@ -281,7 +281,7 @@ format:
 
           \end{titlepage}
           
-          \addtocontents{toc}{\tocfont}
+          %\addtocontents{toc}{\tocfont}
         }
 
         \let\endtitlepage\relax
@@ -313,9 +313,9 @@ format:
             \clearpage
         }
 
-    include-before-body:
-      text: |
-        \setmainfont{Palatino}
+    # include-before-body:
+    #   text: |
+    #     \setmainfont{Times New Roman}
 
 editor:
   render-on-save: true

contents/hw_acceleration/hw_acceleration.qmd

@@ -577,17 +577,7 @@ At this time it should be obvious that specialized hardware accelerators like GP
 * Infrastructure to manage deployment on accelerators.
 
 
-This expansive software ecosystem is as important as the hardware itself in delivering performant and efficient AI applications. This section provides an overview of the tools available at each layer of the stack shown in @fig-ai-stack to enable developers to build and run AI systems powered by hardware acceleration.
-
-```{mermaid}
-%%| label: fig-ai-stack
-%%| fig-cap: AI software stack spanning development, optimization, simulation, and deployment.
-%%| fig-align: center
-%%| fig-alt: AI software stack spanning development, optimization, simulation, and deployment.
-flowchart TD
-  A(Model Development) --> B(Model Optimization)
-  B --> C(Deployment onto Simulator) & D(Deployment onto Hardware)
-```
+This expansive software ecosystem is as important as the hardware itself in delivering performant and efficient AI applications. This section provides an overview of the tools available at each layer of the stack to enable developers to build and run AI systems powered by hardware acceleration.
 
 ### Programming Models {#sec-programming-models}