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-tvm

# 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 Compiler

author = Contributors

copyright = 2019, All authors. Licensed under Apache 2.0

release = 0.1

[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.
header_links = All Notebooks, http://tvm.d2l.ai/d2l-tvm.zip, fas fa-download,
               PDF, http://tvm.d2l.ai/d2l-tvm.pdf, fas fa-file-pdf,
               GitHub, https://github.com/d2l-ai/d2l-tvm, fab fa-github

favicon = static/favicon.png

html_logo = static/logo-with-text.png

[pdf]

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/ d2ltvm/ d2ltvm.bib setup.py

# Files that will be skipped.
exclusions = README.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 =

tabs = tvm

[library]

# Where code blocks will save to
save_filename = d2ltvm/d2ltvm.py

# The parttern to mark this block will be saved.
save_mark = Save to the d2ltvm package

[deploy]

s3_bucket = s3://tvm.d2l.ai

google_analytics_tracking_id = UA-96378503-19

[colab]

github_repo = tvm, d2l-ai/d2l-tvm-colab

libs = tvm, tvm, https://tvm-repo.s3-us-west-2.amazonaws.com/tvm-0.7.dev1-cp37-cp37m-linux_x86_64.whl https://tvm-repo.s3-us-west-2.amazonaws.com/topi-0.7.dev1-py3-none-any.whl
       tvm, d2ltvm, git+https://github.com/d2l-ai/d2l-tvm
       tvm, mxnet, mxnet-cu100

replace_svg_url = img, http://tvm.d2l.ai/_images