Merge branch 'main' into jiannanWang/examples

Author: jiannanWang

.lintrunner.toml

@@ -62,7 +62,6 @@ exclude_patterns = [
     "intermediate_source/pruning_tutorial.py",
     "intermediate_source/reinforcement_q_learning.py",
     "intermediate_source/tensorboard_profiler_tutorial.py",
-    "intermediate_source/tiatoolbox_tutorial.rst",
     "intermediate_source/torch_compile_tutorial.py",
     "intermediate_source/transformer_building_blocks.py",
     "unstable_source/README.md",
@@ -74,7 +73,6 @@ exclude_patterns = [
     "unstable_source/max_autotune_on_CPU_tutorial.rst",
     "unstable_source/vmap_recipe.py",
     "recipes_source/README.txt",
-    "recipes_source/amx.rst",
     "recipes_source/compiling_optimizer.rst",
     "recipes_source/compiling_optimizer_lr_scheduler.py",
     "recipes_source/distributed_optim_torchscript.rst",
@@ -203,7 +201,6 @@ exclude_patterns=[
     "intermediate_source/forced_alignment_with_torchaudio_tutorial.rst",
     "intermediate_source/nlp_from_scratch_index.rst",
     "intermediate_source/pipeline_tutorial.rst",
-    "intermediate_source/tiatoolbox_tutorial.rst",
     "recipes_source/README.txt",
     "recipes_source/script_optimized.rst",
     "recipes_source/torch_compile_caching_configuration_tutorial.rst",

_static/img/tiatoolbox_tutorial/read_bounds_tissue.webp

@@ -62,7 +62,7 @@
 # below we use ``weights_only=False`` because this involves loading the
 # model, which is a legacy use case for ``torch.save``.
 
-model = torch.load('model.pth', weights_only=False),
+model = torch.load('model.pth', weights_only=False)
 
 ########################
 # .. note:: This approach uses Python `pickle <https://docs.python.org/3/library/pickle.html>`_ module when serializing the model, thus it relies on the actual class definition to be available when loading the model.