config.ini

[project]

# The project name, used as the filename of the package and the PDF file. For
# example, if set to d2l-book, then will build d2l-book.zip and d2l-book.pdf
name = d2l-en

# Book title. It will be displayed on the top-right of the HTML page and the
# front page of the PDF file
title = Dive into Deep Learning

author = Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola

copyright = 2019, All authors. Licensed under Apache 2.0

release = 0.7.0

[html]

# A list of links that is displayed on the navbar. A link consists of three
# items: name, URL, and a fontawesome icon
# (https://fontawesome.com/icons?d=gallery). Items are separated by commas.
# PDF, http://numpy.d2l.ai/d2l-en.pdf, fas fa-file-pdf,
header_links = Courses, https://courses.d2l.ai, fas fa-user-graduate,
               PDF, https://d2l.ai/d2l-en.pdf, fas fa-file-pdf,
               All Notebooks, https://d2l.ai/d2l-en.zip, fas fa-download,
               Discuss, https://discuss.mxnet.io, fab fa-discourse,
               GitHub, https://github.com/d2l-ai/d2l-en, fab fa-github,
               中文版, https://zh.d2l.ai, fas fa-external-link-alt

favicon = static/favicon.png

html_logo = static/logo-with-text.png

[pdf]

# The file used to post-process the generated tex file.
post_latex = ./post_latex/main.py

latex_logo = static/logo.png

[build]

# A list of wildcards to indicate the markdown files that need to be evaluated as
# Jupyter notebooks.
notebooks = *.md */*.md


# A list of files that will be copied to the build folder.
resources = img/ data/ d2l/ d2l.bib environment.yml setup.py

# Files that will be skipped.
exclusions = README.md STYLE_GUIDE.md INFO.md

# If True (default), then will evaluate the notebook to obtain outputs.
eval_notebook = True

# If True, the mark the build as failed for any warning. Default is False.
warning_is_error = False

# A list of files, if anyone is modified after the last build, will re-build all
# documents.
dependencies =

[library]

# Where code blocks will save to
save_filename = d2l/d2l.py

# The parttern to mark this block will be saved.
save_mark = Saved in the d2l package for later use

[deploy]
s3_bucket = s3://en.d2l.ai

other_file_s3urls = s3://d2l-webdata/releases/d2l-en/d2l-en-0.7.0.zip

google_analytics_tracking_id = UA-96378503-10