export LC_ALL=C

SPHINXOPTS ?=

SPHINXBUILD = sphinx-build

SPHINXPROJ = PyTorchTutorials

SOURCEDIR = .

BUILDDIR = _build

DATADIR = _data

GH_PAGES_SOURCES = $(SOURCEDIR) Makefile

ZIPOPTS ?= -qo

TAROPTS ?=

help:

@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

.PHONY: help Makefile docs

%: Makefile

@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) -v

download:

# IMPORTANT NOTE: Please make sure your dataset is downloaded to *_source/data folder,

# otherwise CI might silently break.

# NOTE: Please consider using the Step1 and one of Step2 for new dataset,

# [something] should be replaced with the actual value.

# Step1. DOWNLOAD: wget -N [SOURCE_FILE] -P $(DATADIR)

# Step2-1. UNZIP: unzip -o $(DATADIR)/[SOURCE_FILE] -d [*_source/data/]

# Step2-2. UNTAR: tar -xzf $(DATADIR)/[SOURCE_FILE] -C [*_source/data/]

# Step2-3. AS-IS: cp $(DATADIR)/[SOURCE_FILE] [*_source/data/]

# make data directories

mkdir -p $(DATADIR)

mkdir -p advanced_source/data

mkdir -p beginner_source/data

mkdir -p intermediate_source/data

# transfer learning tutorial data

wget -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/

# nlp tutorial data

wget -N https://download.pytorch.org/tutorial/data.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder

# data loader tutorial

wget -N https://download.pytorch.org/tutorial/faces.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/faces.zip -d beginner_source/data/

wget -N https://download.pytorch.org/models/tutorials/4000_checkpoint.tar -P $(DATADIR)

cp $(DATADIR)/4000_checkpoint.tar beginner_source/data/

# neural style images

rm -rf advanced_source/data/images/ || true

mkdir -p advanced_source/data/images/

cp -r _static/img/neural-style/ advanced_source/data/images/

# Download dataset for beginner_source/dcgan_faces_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/img_align_celeba.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba

# Download dataset for beginner_source/hybrid_frontend/introduction_to_hybrid_frontend_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/iris.data -P $(DATADIR)

cp $(DATADIR)/iris.data beginner_source/data/

# Download dataset for beginner_source/chatbot_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/

# Download dataset for beginner_source/audio_classifier_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/UrbanSound8K.tar.gz -P $(DATADIR)

tar $(TAROPTS) -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/

# Download model for beginner_source/fgsm_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/lenet_mnist_model.pth -P $(DATADIR)

cp $(DATADIR)/lenet_mnist_model.pth ./beginner_source/data/lenet_mnist_model.pth

# Download model for advanced_source/dynamic_quantization_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/word_language_model_quantize.pth -P $(DATADIR)

cp $(DATADIR)/word_language_model_quantize.pth advanced_source/data/word_language_model_quantize.pth

# Download data for advanced_source/dynamic_quantization_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/wikitext-2.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/wikitext-2.zip -d advanced_source/data/

# Download model for advanced_source/static_quantization_tutorial.py

wget -N https://download.pytorch.org/models/mobilenet_v2-b0353104.pth -P $(DATADIR)

cp $(DATADIR)/mobilenet_v2-b0353104.pth advanced_source/data/mobilenet_pretrained_float.pth

# Download dataset for advanced_source/static_quantization_tutorial.py

wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/imagenet_1k.zip -P $(DATADIR)

unzip $(ZIPOPTS) $(DATADIR)/imagenet_1k.zip -d advanced_source/data/

docs:

make download

make html

rm -rf docs

cp -r $(BUILDDIR)/html docs

touch docs/.nojekyll

html-noplot:

$(SPHINXBUILD) -D plot_gallery=0 -b html $(SPHINXOPTS) "$(SOURCEDIR)" "$(BUILDDIR)/html"

bash .jenkins/remove_invisible_code_block_batch.sh "$(BUILDDIR)/html"

@echo

@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."

clean-cache:

make clean

rm -rf advanced beginner intermediate