Merge branch 'main' into update_seq2seq_tutorial

Author: 4ydan

.ci/docker/requirements.txt

@@ -2,7 +2,7 @@
 # Refer to ./jenkins/build.sh for tutorial build instructions
 
 sphinx==5.3.0
-sphinx-gallery==0.11.1
+sphinx-gallery==0.17.1
 sphinx-reredirects==0.1.4
 sphinx-design==0.4.0
 docutils==0.16
@@ -31,7 +31,8 @@ pytorch-lightning
 torchx
 torchrl==0.7.2
 tensordict==0.7.2
-ax-platform>=0.4.0
+# For ax_multiobjective_nas_tutorial.py
+ax-platform>=0.4.0,<0.5.0
 nbformat>=5.9.2
 datasets
 transformers
@@ -68,5 +69,5 @@ pycocotools
 semilearn==0.3.2
 torchao==0.10.0
 segment_anything==1.0
-torchrec==1.1.0; platform_system == "Linux"
+torchrec==1.2.0; platform_system == "Linux"
 fbgemm-gpu==1.2.0; platform_system == "Linux"

.jenkins/validate_tutorials_built.py

@@ -23,9 +23,8 @@
     "beginner_source/examples_autograd/polynomial_autograd",
     "beginner_source/examples_autograd/polynomial_custom_function",
     "intermediate_source/mnist_train_nas",  # used by ax_multiobjective_nas_tutorial.py
-    "intermediate_source/fx_conv_bn_fuser",
+    "intermediate_source/torch_compile_conv_bn_fuser",
     "intermediate_source/_torch_export_nightly_tutorial",  # does not work on release
-    "advanced_source/super_resolution_with_onnxruntime",
     "advanced_source/usb_semisup_learn", # fails with CUDA OOM error, should try on a different worker
     "prototype_source/fx_graph_mode_ptq_dynamic",
     "prototype_source/vmap_recipe",
@@ -51,7 +50,6 @@
     "intermediate_source/text_to_speech_with_torchaudio",
     "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
     "advanced_source/semi_structured_sparse", # reenable after 3303 is fixed.
-    "intermediate_source/torchrec_intro_tutorial", # reenable after 3302 is fixe
 ]
 
 def tutorial_source_dirs() -> List[Path]:

Makefile

@@ -61,23 +61,6 @@ download:
 	wget -nv -N https://s3.amazonaws.com/pytorch-tutorial-assets/cornell_movie_dialogs_corpus_v2.zip -P $(DATADIR)
 	unzip $(ZIPOPTS) $(DATADIR)/cornell_movie_dialogs_corpus_v2.zip -d beginner_source/data/
 
-	# Download model for advanced_source/dynamic_quantization_tutorial.py
-	wget -nv -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 -nv -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 -nv -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 model for prototype_source/graph_mode_static_quantization_tutorial.py
-	wget -nv -N https://download.pytorch.org/models/resnet18-5c106cde.pth -P $(DATADIR)
-	cp $(DATADIR)/resnet18-5c106cde.pth prototype_source/data/resnet18_pretrained_float.pth
-
 	# Download PennFudanPed dataset for intermediate_source/torchvision_tutorial.py
 	wget https://www.cis.upenn.edu/~jshi/ped_html/PennFudanPed.zip -P $(DATADIR)
 	unzip -o $(DATADIR)/PennFudanPed.zip -d intermediate_source/data/

_static/img/cat_224x224.jpg

@@ -9,10 +9,6 @@ Advanced Tutorials
 	Creating Extensions Using numpy and scipy
 	https://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html
 
-3. c_extension.rst
+3. cpp_extension.rst
 	Custom C Extensions for PyTorch
-	https://pytorch.org/tutorials/advanced/c_extension.html
-
-4. super_resolution_with_onnxruntime.py
-    Exporting a Model from PyTorch to ONNX and Running it using ONNXRuntime
-	https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html
+	https://docs.pytorch.org/tutorials/advanced/cpp_extension.html