conflicts

Author: xadupre

_doc/patches.rst

@@ -114,7 +114,10 @@ Here is the list of supported caches:
 
     import onnx_diagnostic.torch_export_patches.onnx_export_serialization as p
 
-    print("\n".join(sorted(t.__name__ for t in p.serialization_functions())))
+    print(
+        "\n".join(sorted(t.__name__ for t in p.serialization_functions(
+            patch_transformers=True, patch_diffusers=True)))
+    )
 
 .. _l-control-flow-rewriting:
 

_doc/status/patches_coverage.rst

@@ -14,7 +14,10 @@ The following code shows the list of serialized classes in transformers.
 
     import onnx_diagnostic.torch_export_patches.onnx_export_serialization as p
 
-    print('\n'.join(sorted(t.__name__ for t in p.serialization_functions())))
+    print(
+        '\n'.join(sorted(t.__name__ for t in p.serialization_functions(
+            patch_transformers=True, patch_diffusers=True
+    ))))
 
 Patched Classes
 ===============

onnx_diagnostic/torch_export_patches/onnx_export_serialization.py

@@ -28,7 +28,8 @@ def register_class_serialization(
 ) -> bool:
     """
     Registers a class.
-    It can be undone with :func:`unregister_class_serialization`.
+    It can be undone with
+    :func:`onnx_diagnostic.torch_export_patches.onnx_export_serialization.unregister_class_serialization`.
 
     :param cls: class to register
     :param f_flatten: see ``torch.utils._pytree.register_pytree_node``
@@ -77,7 +78,8 @@ def register_cache_serialization(
     patch_transformers: bool = False, patch_diffusers: bool = True, verbose: int = 0
 ) -> Dict[str, bool]:
     """
-    Registers many classes with :func:`register_class_serialization`.
+    Registers many classes with
+    :func:`onnx_diagnostic.torch_export_patches.onnx_export_serialization.register_class_serialization`.
     Returns information needed to undo the registration.
 
     :param patch_transformers: add serialization function for