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some improvements to the make download(#384) #390

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Jan 12, 2019
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some improvements to the make download(#384) #390

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58 changes: 35 additions & 23 deletions Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@ SPHINXBUILD = sphinx-build
SPHINXPROJ = PyTorchTutorials
SOURCEDIR = .
BUILDDIR = _build
DATADIR = _data
GH_PAGES_SOURCES = $(SOURCEDIR) Makefile

# Put it first so that "make" without argument is like "make help".
Expand All @@ -27,47 +28,58 @@ 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
unzip -o hymenoptera_data.zip -d beginner_source/data
wget -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)
unzip -o $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/

# nlp tutorial data
wget -N https://download.pytorch.org/tutorial/data.zip
unzip -o data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder
wget -N https://download.pytorch.org/tutorial/data.zip -P $(DATADIR)
unzip -o $(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
unzip -o faces.zip -d beginner_source/data
wget -N https://download.pytorch.org/tutorial/faces.zip -P $(DATADIR)
unzip -o $(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/

wget -N https://download.pytorch.org/models/tutorials/4000_checkpoint.tar
cp 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
curl https://s3.amazonaws.com/pytorch-tutorial-assets/img_align_celeba.zip --output img_align_celeba.zip
sudo mkdir -p beginner_source/data/celeba
sudo chmod -R 0777 beginner_source/data/celeba
unzip img_align_celeba.zip -d beginner_source/data/celeba > null
wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/img_align_celeba.zip -P $(DATADIR)
unzip -q -o $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba

# Download dataset for beginner_source/hybrid_frontend/introduction_to_hybrid_frontend_tutorial.py
mkdir data/
curl https://s3.amazonaws.com/pytorch-tutorial-assets/iris.data --output beginner_source/data/iris.data
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
curl https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus.zip --output cornell_movie_dialogs_corpus.zip
mkdir -p beginner_source/data
unzip cornell_movie_dialogs_corpus.zip -d beginner_source/data/ > null
wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus.zip -P $(DATADIR)
unzip -q -o $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/

# Download dataset for beginner_source/audio_classifier_tutorial.py
curl https://s3.amazonaws.com/pytorch-tutorial-assets/UrbanSound8K.tar.gz --output UrbanSound8K.tar.gz
tar -xzf UrbanSound8K.tar.gz -C ./beginner_source/data
wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/UrbanSound8K.tar.gz -P $(DATADIR)
tar -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/

# Download model for beginner_source/fgsm_tutorial.py
curl https://s3.amazonaws.com/pytorch-tutorial-assets/lenet_mnist_model.pth --output ./beginner_source/data/lenet_mnist_model.pth
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

docs:
make download
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