Merge branch 'main' into tutorial_timestamps

Author: svekars

.github/scripts/docathon-label-sync.py

@@ -25,19 +25,19 @@ def main():
     issue_number = int(re.findall(r'#(\d{1,5})', pull_request_body)[0])
     issue = repo.get_issue(issue_number)
     issue_labels = issue.labels
-    docathon_label_present = any(label.name == 'docathon-h2-2023' for label in issue_labels)
+    docathon_label_present = any(label.name == 'docathon-h1-2024' for label in issue_labels)
 
     # if the issue has a docathon label, add all labels from the issue to the PR.
     if not docathon_label_present:
-        print("The 'docathon-h2-2023' label is not present in the issue.")
+        print("The 'docathon-h1-2024' label is not present in the issue.")
         return    
     pull_request_labels = pull_request.get_labels()
     issue_label_names = [label.name for label in issue_labels]
     labels_to_add = [label for label in issue_label_names if label not in pull_request_labels]
     if not labels_to_add:
         print("The pull request already has the same labels.")
         return
-    pull_request.set_labels(*labels_to_add)
+    pull_request.add_to_labels(*labels_to_add)
     print("Labels added to the pull request!")
 
 

.github/workflows/docathon-assign.yml

@@ -8,6 +8,8 @@ on:
 jobs:
   assign:
     runs-on: ubuntu-latest
+    permissions:
+      issues: write
     steps:
       - name: Check for "/assigntome" in comment
         uses: actions/github-script@v6
@@ -26,14 +28,14 @@ jobs:
                   repo: context.repo.repo,
                   issue_number: issueNumber
                 });
-              const hasLabel = issue.labels.some(label => label.name === 'docathon-h2-2023');
+              const hasLabel = issue.labels.some(label => label.name === 'docathon-h1-2024');
               if (hasLabel) {
                 if (issue.assignee !== null) {
                   await github.rest.issues.createComment({
                     owner: context.repo.owner,
                     repo: context.repo.repo,
                     issue_number: issueNumber,
-                    body: "The issue is already assigned. Please pick an opened and unnasigned issue with the [docathon-h2-2023 label](https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3Adocathon-h2-2023)."
+                    body: "The issue is already assigned. Please pick an opened and unnasigned issue with the [docathon-h1-2024 label](https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3Adocathon-h1-2024)."
                   });
                 } else {
                   await github.rest.issues.addAssignees({
@@ -44,7 +46,7 @@ jobs:
                   });
                 }
               } else {
-                const commmentMessage = "This issue does not have the correct label. Please pick an opened and unnasigned issue with the [docathon-h2-2023 label](https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3Adocathon-h2-2023)."
+                const commmentMessage = "This issue does not have the correct label. Please pick an opened and unnasigned issue with the [docathon-h1-2024 label](https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3Adocathon-h1-2024)."
                 await github.rest.issues.createComment({
                   owner: context.repo.owner,
                   repo: context.repo.repo,

.github/workflows/docathon-label-sync.yml

@@ -7,12 +7,14 @@ on:
 jobs:
   check-labels:
     runs-on: ubuntu-latest
-
+    permissions:
+      issues: write
+      pull-requests: write
     steps:
       - name: Check if PR mentions an issue and get labels
         uses: actions/checkout@v2
         with:
-          fetch-depth: 0
+          fetch-depth: 1
       - name: Set up Python
         uses: actions/setup-python@v2
         with:

.jenkins/metadata.json

@@ -28,6 +28,10 @@
   "intermediate_source/model_parallel_tutorial.py": {
     "needs": "linux.16xlarge.nvidia.gpu"
   },
+  "advanced_source/pendulum.py": {
+    "needs": "linux.g5.4xlarge.nvidia.gpu",
+    "_comment": "need to be here for the compiling_optimizer_lr_scheduler.py to run."
+  },
   "intermediate_source/torchvision_tutorial.py": {
     "needs": "linux.g5.4xlarge.nvidia.gpu",
     "_comment": "does not require a5g but needs to run before gpu_quantization_torchao_tutorial.py."
@@ -36,6 +40,9 @@
      "needs": "linux.g5.4xlarge.nvidia.gpu",
      "_comment": "does not require a5g but needs to run before gpu_quantization_torchao_tutorial.py."
   },
+  "recipes_source/compiling_optimizer_lr_scheduler.py": {
+     "needs": "linux.g5.4xlarge.nvidia.gpu"
+  },
   "intermediate_source/torch_compile_tutorial.py": {
     "needs": "linux.g5.4xlarge.nvidia.gpu"
   },

.jenkins/validate_tutorials_built.py

@@ -26,10 +26,10 @@
     "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/torchvision_tutorial", # disable due to RuntimeError: DataLoader worker (pid(s) 20092) exited unexpectedly
     "intermediate_source/fx_conv_bn_fuser",
     "intermediate_source/_torch_export_nightly_tutorial",  # does not work on release
     "advanced_source/super_resolution_with_onnxruntime",
+    "advanced_source/python_custom_ops",  # https://github.com/pytorch/pytorch/issues/127443
     "advanced_source/ddp_pipeline",  # requires 4 gpus
     "advanced_source/usb_semisup_learn", # fails with CUDA OOM error, should try on a different worker
     "prototype_source/fx_graph_mode_ptq_dynamic",
@@ -38,7 +38,6 @@
     "prototype_source/nestedtensor",
     "recipes_source/recipes/saving_and_loading_models_for_inference",
     "recipes_source/recipes/saving_multiple_models_in_one_file",
-    "recipes_source/recipes/loading_data_recipe",
     "recipes_source/recipes/tensorboard_with_pytorch",
     "recipes_source/recipes/what_is_state_dict",
     "recipes_source/recipes/profiler_recipe",
@@ -55,7 +54,10 @@
     "recipes_source/recipes/Captum_Recipe",
     "intermediate_source/flask_rest_api_tutorial",
     "intermediate_source/text_to_speech_with_torchaudio",
-    "intermediate_source/tensorboard_profiler_tutorial" # reenable after 2.0 release.
+    "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
+    "intermediate_source/inductor_debug_cpu", # reenable after 2942 
+    "beginner_source/onnx/onnx_registry_tutorial", # reenable after 2941 is fixed.
+    "intermediate_source/torch_export_tutorial" # reenable after 2940 is fixed.
 ]
 
 def tutorial_source_dirs() -> List[Path]:

CONTRIBUTING.md

@@ -326,9 +326,9 @@ example](https://github.com/pytorch/tutorials/blob/main/_static/img/thumbnails/c
 
 The following command builds an HTML version of the tutorial website.
 
-    ```
-    make html-noplot
-    ```
+```
+make html-noplot
+```
 
 This command does not run your tutorial code. To build the tutorial in a
 way that executes the code, use `make docs`. However, unless you have a