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export LC_ALL =C
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# You can set these variables from the command line.
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- SPHINXOPTS =
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+ SPHINXOPTS ? =
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SPHINXBUILD = sphinx-build
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SPHINXPROJ = PyTorchTutorials
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SOURCEDIR = .
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BUILDDIR = _build
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DATADIR = _data
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GH_PAGES_SOURCES = $(SOURCEDIR ) Makefile
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+ ZIPOPTS ?= -qo
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+ TAROPTS ?=
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+
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# Put it first so that "make" without argument is like "make help".
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help :
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@$(SPHINXBUILD ) -M help " $( SOURCEDIR) " " $( BUILDDIR) " $(SPHINXOPTS ) $(O )
@@ -43,15 +46,15 @@ download:
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# transfer learning tutorial data
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wget -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)
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- unzip -o $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/
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+ unzip $(ZIPOPTS) $(DATADIR)/hymenoptera_data.zip -d beginner_source/data/
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# nlp tutorial data
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wget -N https://download.pytorch.org/tutorial/data.zip -P $(DATADIR)
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- unzip -o $(DATADIR)/data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder
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+ unzip $(ZIPOPTS) $(DATADIR)/data.zip -d intermediate_source/ # This will unzip all files in data.zip to intermediate_source/data/ folder
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# data loader tutorial
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wget -N https://download.pytorch.org/tutorial/faces.zip -P $(DATADIR)
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- unzip -o $(DATADIR)/faces.zip -d beginner_source/data/
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+ unzip $(ZIPOPTS) $(DATADIR)/faces.zip -d beginner_source/data/
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wget -N https://download.pytorch.org/models/tutorials/4000_checkpoint.tar -P $(DATADIR)
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cp $(DATADIR)/4000_checkpoint.tar beginner_source/data/
@@ -63,19 +66,19 @@ download:
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# Download dataset for beginner_source/dcgan_faces_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/img_align_celeba.zip -P $(DATADIR)
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- unzip -q -o $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba
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+ unzip $(ZIPOPTS) $(DATADIR)/img_align_celeba.zip -d beginner_source/data/celeba
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# Download dataset for beginner_source/hybrid_frontend/introduction_to_hybrid_frontend_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/iris.data -P $(DATADIR)
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cp $(DATADIR)/iris.data beginner_source/data/
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# Download dataset for beginner_source/chatbot_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus.zip -P $(DATADIR)
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- unzip -q -o $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/
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+ unzip $(ZIPOPTS) $(DATADIR)/cornell_movie_dialogs_corpus.zip -d beginner_source/data/
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# Download dataset for beginner_source/audio_classifier_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/UrbanSound8K.tar.gz -P $(DATADIR)
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- tar -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/
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+ tar $(TAROPTS) -xzf $(DATADIR)/UrbanSound8K.tar.gz -C ./beginner_source/data/
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# Download model for beginner_source/fgsm_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/lenet_mnist_model.pth -P $(DATADIR)
@@ -87,16 +90,15 @@ download:
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# Download data for advanced_source/dynamic_quantization_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/wikitext-2.zip -P $(DATADIR)
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- unzip -q -o $(DATADIR)/wikitext-2.zip -d advanced_source/data/
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+ unzip $(ZIPOPTS) $(DATADIR)/wikitext-2.zip -d advanced_source/data/
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# Download model for advanced_source/static_quantization_tutorial.py
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wget -N https://download.pytorch.org/models/mobilenet_v2-b0353104.pth -P $(DATADIR)
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cp $(DATADIR)/mobilenet_v2-b0353104.pth advanced_source/data/mobilenet_pretrained_float.pth
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# Download dataset for advanced_source/static_quantization_tutorial.py
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wget -N https://s3.amazonaws.com/pytorch-tutorial-assets/imagenet_1k.zip -P $(DATADIR)
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- unzip -q -o $(DATADIR)/imagenet_1k.zip -d advanced_source/data/
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-
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+ unzip $(ZIPOPTS) $(DATADIR)/imagenet_1k.zip -d advanced_source/data/
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docs :
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make download
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