55export LC_ALL =C
66
77# You can set these variables from the command line.
8- SPHINXOPTS =
8+ SPHINXOPTS ? =
99SPHINXBUILD = sphinx-build
1010SPHINXPROJ = PyTorchTutorials
1111SOURCEDIR = .
1212BUILDDIR = _build
1313DATADIR = _data
1414GH_PAGES_SOURCES = $(SOURCEDIR ) Makefile
1515
16+ ZIPOPTS ?= -qo
17+ TAROPTS ?=
18+
1619# Put it first so that "make" without argument is like "make help".
1720help :
1821 @$(SPHINXBUILD ) -M help " $( SOURCEDIR) " " $( BUILDDIR) " $(SPHINXOPTS ) $(O )
@@ -43,15 +46,15 @@ download:
4346
4447 # transfer learning tutorial data
4548 wget -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)
46- unzip -o $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/
49+ unzip $(ZIPOPTS) $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/
4750
4851 # nlp tutorial data
4952 wget -N https://download.pytorch.org/tutorial/data.zip -P $(DATADIR)
50- unzip -o $(DATADIR)/data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder
53+ unzip $(ZIPOPTS) $(DATADIR)/data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder
5154
5255 # data loader tutorial
5356 wget -N https://download.pytorch.org/tutorial/faces.zip -P $(DATADIR)
54- unzip -o $(DATADIR)/faces.zip -d beginner_source/data/
57+ unzip $(ZIPOPTS) $(DATADIR)/faces.zip -d beginner_source/data/
5558
5659 wget -N https://download.pytorch.org/models/tutorials/4000_checkpoint.tar -P $(DATADIR)
5760 cp $(DATADIR)/4000_checkpoint.tar beginner_source/data/
@@ -63,19 +66,19 @@ download:
6366
6467 # Download dataset for beginner_source/dcgan_faces_tutorial.py
6568 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/img_align_celeba.zip -P $(DATADIR)
66- unzip -q -o $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba
69+ unzip $(ZIPOPTS) $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba
6770
6871 # Download dataset for beginner_source/hybrid_frontend/introduction_to_hybrid_frontend_tutorial.py
6972 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/iris.data -P $(DATADIR)
7073 cp $(DATADIR)/iris.data beginner_source/data/
7174
7275 # Download dataset for beginner_source/chatbot_tutorial.py
7376 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus.zip -P $(DATADIR)
74- unzip -q -o $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/
77+ unzip $(ZIPOPTS) $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/
7578
7679 # Download dataset for beginner_source/audio_classifier_tutorial.py
7780 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/UrbanSound8K.tar.gz -P $(DATADIR)
78- tar -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/
81+ tar $(TAROPTS) -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/
7982
8083 # Download model for beginner_source/fgsm_tutorial.py
8184 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/lenet_mnist_model.pth -P $(DATADIR)
@@ -87,16 +90,15 @@ download:
8790
8891 # Download data for advanced_source/dynamic_quantization_tutorial.py
8992 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/wikitext-2.zip -P $(DATADIR)
90- unzip -q -o $(DATADIR)/wikitext-2.zip -d advanced_source/data/
93+ unzip $(ZIPOPTS) $(DATADIR)/wikitext-2.zip -d advanced_source/data/
9194
9295 # Download model for advanced_source/static_quantization_tutorial.py
9396 wget -N https://download.pytorch.org/models/mobilenet_v2-b0353104.pth -P $(DATADIR)
9497 cp $(DATADIR)/mobilenet_v2-b0353104.pth advanced_source/data/mobilenet_pretrained_float.pth
9598
9699 # Download dataset for advanced_source/static_quantization_tutorial.py
97100 wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/imagenet_1k.zip -P $(DATADIR)
98- unzip -q -o $(DATADIR)/imagenet_1k.zip -d advanced_source/data/
99-
101+ unzip $(ZIPOPTS) $(DATADIR)/imagenet_1k.zip -d advanced_source/data/
100102
101103docs :
102104 make download
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