deep-learning-from-scratch-notes/_quarto-typst-zh.yml at main · BrenchCC/deep-learning-from-scratch-notes · GitHub

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project:
  type: book
  output-dir: "_typst/zh"
  render:
    - "*.qmd"
    - "zh/**/*.qmd"
  post-render:
    - "utils/rename_pdf.py"

execute:
  enabled: false

format:
  typst:
    lang: zh
    toc: true
    toc-depth: 2
    toc-indent: 0em
    wrap: none
    engine: jupyter
    papersize: a4
    fig-cap-location: bottom
    tbl-cap-location: top
    code-annotations: below
    citeproc: true
    bibliographystyle: ieee
    citation-location: document
    syntax-highlighting: idiomatic
    include-before-body:
      - "utils/typst-header-zh.typ"

book:
  chapters:
    - index.qmd
    - part: "Chapter 1: 深度学习简介"
      chapters:
        - "zh/chapter01-introduction/chapter-1.1-neural-network.qmd"
    - part: "Chapter 2: PyTorch 入门"
      chapters:
        - "zh/chatper02-pytorch-introduction/chapter-2.1-automatic-differentiation.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.2-dim-transform-appendix.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.3-auto-grad-contexts.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.4-dataset-and-dataloader.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.5-nn-module.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.6-optimizer.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.7-training-loop.qmd"
        - "zh/chatper02-pytorch-introduction/chapter-2.8-checkpoints-resuming.qmd"
    - part: "Chapter 8: Attention 与 Transformer：从动态检索到序列建模"
      chapters:
        - "zh/chapter08-attention-and-transformers/chapter-8.1-bahdanau-attention.qmd"