Merge branch 'main' into patch-1

Author: svekars

.ci/docker/requirements.txt

@@ -14,9 +14,8 @@ tqdm==4.66.1
 numpy==1.24.4
 matplotlib
 librosa
-torch==2.4
+torch==2.5
 torchvision
-torchtext
 torchdata
 networkx
 PyHamcrest
@@ -70,5 +69,5 @@ pycocotools
 semilearn==0.3.2
 torchao==0.5.0
 segment_anything==1.0
-torchrec==0.8.0
-fbgemm-gpu==0.8.0
+torchrec==1.0.0; platform_system == "Linux"
+fbgemm-gpu==1.0.0; platform_system == "Linux"

.github/workflows/link_checkPR.yml

@@ -0,0 +1,63 @@
+#Checks links in a PR to ensure they are valid. If link is valid but failing, it can be added to the .lycheeignore file
+#Code source: https://github.com/lycheeverse/lychee-action/issues/238
+
+name: link check on PR
+
+on:
+  pull_request:
+    branches: [main]
+
+jobs:
+  check-links:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          ref: ${{github.event.pull_request.head.ref}}
+          repository: ${{github.event.pull_request.head.repo.full_name}}
+
+      - name: Check out main branch
+        run: git checkout main
+
+      - name: Dump all links from main
+        id: dump_links_from_main
+        uses: lycheeverse/lychee-action@v1
+        with:
+          args: |
+            --dump
+            --include-fragments
+            .
+          output: ./links-main.txt
+
+      - name: Stash untracked files
+        run: git stash push --include-untracked
+
+      - name: Check out feature branch
+        run: git checkout ${{ github.head_ref }}
+
+      - name: Apply stashed changes
+        # Apply stashed changes, ignore errors if stash is empty
+        run: git stash pop || true
+
+      - name: Append links-main.txt to .lycheeignore
+        run: cat links-main.txt >> .lycheeignore
+
+      - name: Check links
+        uses: lycheeverse/lychee-action@v1
+        with:
+          args: |
+            --no-progress
+            --include-fragments
+            .
+          # Fail action on broken links
+          fail: true
+
+      - name: Suggestions
+        if: failure()
+        run: |
+          echo -e "\nPlease review the links reported in the Check links step above."
+          echo -e "If a link is valid but fails due to a CAPTCHA challenge, IP blocking, login requirements, etc.,
+          consider adding such links to .lycheeignore file to bypass future checks.\n"
+          exit 1

.jenkins/build.sh

@@ -21,9 +21,9 @@ sudo apt-get install -y pandoc
 
 #Install PyTorch Nightly for test.
 # Nightly - pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
-# Install 2.4 to merge all 2.4 PRs - uncomment to install nightly binaries (update the version as needed).
+# Install 2.5 to merge all 2.4 PRs - uncomment to install nightly binaries (update the version as needed).
 # pip uninstall -y torch torchvision torchaudio torchtext torchdata
-# pip3 install torch==2.4.0 torchvision torchaudio --no-cache-dir --index-url https://download.pytorch.org/whl/test/cu124
+# pip3 install torch==2.5.0 torchvision torchaudio --no-cache-dir --index-url https://download.pytorch.org/whl/test/cu124
 
 # Install two language tokenizers for Translation with TorchText tutorial
 python -m spacy download en_core_web_sm

.jenkins/validate_tutorials_built.py

@@ -11,7 +11,6 @@
 NOT_RUN = [
     "beginner_source/basics/intro",  # no code
     "beginner_source/onnx/intro_onnx",
-    "beginner_source/translation_transformer",
     "beginner_source/profiler",
     "beginner_source/saving_loading_models",
     "beginner_source/introyt/captumyt",
@@ -22,9 +21,6 @@
     "beginner_source/former_torchies/tensor_tutorial_old",
     "beginner_source/examples_autograd/polynomial_autograd",
     "beginner_source/examples_autograd/polynomial_custom_function",
-    "beginner_source/torchtext_custom_dataset_tutorial", # not building with 2.3 RC, might be able to turn on with GA
-    "beginner_source/text_sentiment_ngrams_tutorial", # not building with 2.3 RC, might be able to turn on with GA
-    "beginner_source/t5_tutorial", # re-enable after this is fixed: https://github.com/pytorch/text/issues/1756
     "intermediate_source/mnist_train_nas",  # used by ax_multiobjective_nas_tutorial.py
     "intermediate_source/fx_conv_bn_fuser",
     "intermediate_source/_torch_export_nightly_tutorial",  # does not work on release

.lycheeignore

@@ -0,0 +1,2 @@
+# Used for links to be ignored during the link check.
+# Add link to file along with comment as to why it should be ignored

Makefile

@@ -82,10 +82,6 @@ download:
 	wget -nv -N http://dl.fbaipublicfiles.com/pythia/data/vocab.tar.gz -P $(DATADIR)
 	tar $(TAROPTS) -xzf $(DATADIR)/vocab.tar.gz -C ./beginner_source/data/
 
-	# Download dataset for beginner_source/torchtext_custom_dataset_tutorial.py
-	wget -nv -N https://www.manythings.org/anki/deu-eng.zip -P $(DATADIR)
-	unzip -o $(DATADIR)/deu-eng.zip -d beginner_source/data/
-
 	# 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/compiled_autograd/call_hook_node.png

@@ -20,7 +20,3 @@ Beginner Tutorials
 5. nlp/* and deep_learning_nlp_tutorial.rst
 	Deep Learning for NLP with Pytorch
 	https://pytorch.org/tutorials/beginner/deep_learning_nlp_tutorial.html
-
-6. transformer_translation.py
-	Language Translation with Transformers
-	https://pytorch.org/tutorials/beginner/translation_transformer.html

_static/img/compiled_autograd/entire_verbose_log.png

@@ -57,8 +57,8 @@
 ########################
 # We can then load the model as demonstrated below.
 #
-# As described in `Saving and loading torch.nn.Modules <pytorch.org/docs/main/notes/serialization.html#saving-and-loading-torch-nn-modules>`__,
-# saving ``state_dict``s is considered the best practice. However,
+# As described in `Saving and loading torch.nn.Modules <https://pytorch.org/docs/main/notes/serialization.html#saving-and-loading-torch-nn-modules>`_,
+# saving ``state_dict`` is considered the best practice. However,
 # below we use ``weights_only=False`` because this involves loading the
 # model, which is a legacy use case for ``torch.save``.