Redirect duplicate save/load recipes to the main save/load tutorial

conf.py

@@ -45,6 +45,7 @@
 import pandocfilters
 import pypandoc
 import plotly.io as pio
+from pathlib import Path
 pio.renderers.default = 'sphinx_gallery'
 
 
@@ -140,22 +141,17 @@ def reset_seeds(gallery_conf, fname):
     sphinx_gallery_conf['ignore_pattern'] = r'/(?!' + re.escape(os.getenv('GALLERY_PATTERN')) + r')[^/]+$'
 
 for i in range(len(sphinx_gallery_conf['examples_dirs'])):
-    gallery_dir = sphinx_gallery_conf['gallery_dirs'][i]
-    source_dir = sphinx_gallery_conf['examples_dirs'][i]
-    # Create gallery dirs if it doesn't exist
-    try:
-        os.mkdir(gallery_dir)
-    except OSError:
-        pass
+    gallery_dir = Path(sphinx_gallery_conf["gallery_dirs"][i])
+    source_dir = Path(sphinx_gallery_conf["examples_dirs"][i])
 
     # Copy rst files from source dir to gallery dir
-    for f in glob.glob(os.path.join(source_dir, '*.rst')):
-        distutils.file_util.copy_file(f, gallery_dir, update=True)
-
+    for f in source_dir.rglob("*.rst"):
+        f_dir = Path(f).parent
+        gallery_subdir_path = gallery_dir / f_dir.relative_to(source_dir)
+        gallery_subdir_path.mkdir(parents=True, exist_ok=True)
+        distutils.file_util.copy_file(f, gallery_subdir_path, update=True)
 
 # Add any paths that contain templates here, relative to this directory.
-
-
 templates_path = ['_templates']
 
 # The suffix(es) of source filenames.

recipes_source/recipes/README.txt

@@ -25,38 +25,22 @@ PyTorch Recipes
          Dynamic Quantization
          https://pytorch.org/tutorials/recipes/recipes/dynamic_quantization.html
 
-7. save_load_across_devices.py
-         Saving and loading models across devices in PyTorch
-         https://pytorch.org/tutorials/recipes/recipes/save_load_across_devices.html
-
-8. saving_and_loading_a_general_checkpoint.py
-         Saving and loading a general checkpoint in PyTorch
-         https://pytorch.org/tutorials/recipes/recipes/saving_and_loading_a_general_checkpoint.html
-
-9. saving_and_loading_models_for_inference.py
-         Saving and loading models for inference in PyTorch
-         https://pytorch.org/tutorials/recipes/recipes/saving_and_loading_models_for_inference.html
-
-10. saving_multiple_models_in_one_file.py
-         Saving and loading multiple models in one file using PyTorch
-         https://pytorch.org/tutorials/recipes/recipes/saving_multiple_models_in_one_file.html
-
-11. warmstarting_model_using_parameters_from_a_different_model.py
+7. warmstarting_model_using_parameters_from_a_different_model.py
          Warmstarting models using parameters from different model
          https://pytorch.org/tutorials/recipes/recipes/warmstarting_model_using_parameters_from_a_different_model.html
 
-12. zeroing_out_gradients.py
+8. zeroing_out_gradients.py
          Zeroing out gradients
          https://pytorch.org/tutorials/recipes/recipes/zeroing_out_gradients.html
 
-13. mobile_perf.py
+9. mobile_perf.py
          PyTorch Mobile Performance Recipes
          https://pytorch.org/tutorials/recipes/mobile_perf.html
 
-14. amp_recipe.py
+10. amp_recipe.py
          Automatic Mixed Precision
          https://pytorch.org/tutorials/recipes/amp_recipe.html
 
-15. regional_compilation.py
+11. regional_compilation.py
 	Reducing torch.compile cold start compilation time with regional compilation
          https://pytorch.org/tutorials/recipes/regional_compilation.html

recipes_source/recipes/save_load_across_devices.rst

@@ -0,0 +1,10 @@
+Save Load Across Devices
+========================
+
+This tutorial was deprecated. There is a newer tutorial that covers the same topic:  https://pytorch.org/tutorials/beginner/saving_loading_models.html
+
+Redirecting in 3 seconds...
+
+.. raw:: html
+
+   <meta http-equiv="Refresh" content="3; url='https://pytorch.org/tutorials/beginner/saving_loading_models.html'" />