Merge branch 'main' into add-new-theme

Author: svekars

.ci/docker/requirements.txt

@@ -4,6 +4,7 @@
 # Sphinx dependencies
 sphinx==7.2.6
 sphinx-gallery==0.14.0
+sphinx-reredirects==0.1.4
 sphinx_design==0.6.1
 sphinxext-opengraph==0.10.0
 docutils>=0.18.1,<0.21

.jenkins/build.sh

@@ -151,6 +151,12 @@ elif [[ "${JOB_TYPE}" == "manager" ]]; then
   # Step 7: push new HTML files and static files to gh-pages
   if [[ "$COMMIT_SOURCE" == "refs/heads/master" || "$COMMIT_SOURCE" == "refs/heads/main" ]]; then
     git clone https://github.com/pytorch/tutorials.git -b gh-pages gh-pages
+    # Clean up directories that contain tutorials
+    
+    for dir in beginner intermediate prototype recipes advanced distributed vision text audio; do
+      rm -rf "gh-pages/$dir"
+    done
+    
     cp -r docs/* gh-pages/
     pushd gh-pages
     # DANGER! DO NOT REMOVE THE `set +x` SETTING HERE!

conf.py

@@ -47,9 +47,8 @@
 import pypandoc
 import plotly.io as pio
 from pathlib import Path
-pio.renderers.default = "sphinx_gallery"
-
-import multiprocessing
+pio.renderers.default = 'sphinx_gallery'
+from redirects import redirects
 
 import sphinx_gallery.gen_rst
 
@@ -136,6 +135,7 @@ def wrapper(*args, **kwargs):
     "sphinx_sitemap",
     "sphinxcontrib.mermaid",
     "pytorch_sphinx_theme2",
+    "sphinx_reredirects"
 ]
 
 myst_enable_extensions = [

recipes_source/recipes_index.rst

@@ -447,15 +447,6 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu
    :link: ../recipes/distributed_comm_debug_mode.html
    :tags: Distributed-Training
 
-.. TorchServe
-
-.. customcarditem::
-   :header: Deploying a PyTorch Stable Diffusion model as a Vertex AI Endpoint
-   :card_description: Learn how to deploy model in Vertex AI with TorchServe
-   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
-   :link: ../recipes/torchserve_vertexai_tutorial.html
-   :tags: Production
-
 .. End of tutorial card section
 
 .. raw:: html

recipes_source/torch_compile_caching_tutorial.rst

@@ -88,6 +88,9 @@ The aforementioned ``Mega-Cache`` is composed of individual components that can
 * ``InductorCache``: A bundle of ``FXGraphCache`` and ``Triton`` cache.
 * ``AOTAutogradCache``: A cache of joint graph artifacts.
 * ``PGO-cache``: A cache of dynamic shape decisions to reduce number of recompilations.
+* `AutotuningCache <https://github.com/pytorch/pytorch/blob/795a6a0affd349adfb4e3df298b604b74f27b44e/torch/_inductor/runtime/autotune_cache.py#L116>`__: 
+    * ``Inductor`` generates ``Triton`` kernels and benchmarks them to select the fastest kernels.
+    * ``torch.compile``'s built-in ``AutotuningCache`` caches these results.
 
 All these cache artifacts are written to ``TORCHINDUCTOR_CACHE_DIR`` which by default will look like ``/tmp/torchinductor_myusername``.
 

redirects.py

@@ -0,0 +1,5 @@
+redirects = {
+    "intermediate/flask_rest_api_tutorial": "../index.html",
+    "beginner/ptcheat.html": "../index.html",
+    "beginner/deploy_seq2seq_hybrid_frontend_tutorial.html": "../index.html",
+}