Fix config validation failures caused by NVTX pipeline wrappers (#11460)

* Enable Cython<->Python bindings for `Pipe` and `TrainablePipe` methods

* `pipes_with_nvtx_range`: Skip hooking methods whose signature cannot be ascertained

When loading pipelines from a config file, the arguments passed to individual pipeline components is validated by `pydantic` during init. For this, the validation model attempts to parse the function signature of the component's c'tor/entry point so that it can check if all mandatory parameters are present in the config file.

When using the `models_and_pipes_with_nvtx_range` as a `after_pipeline_creation` callback, the methods of all pipeline components get replaced by a NVTX range wrapper **before** the above-mentioned validation takes place. This can be problematic for components that are implemented as Cython extension types - if the extension type is not compiled with Python bindings for its methods, they will have no signatures at runtime. This resulted in `pydantic` matching the *wrapper's* parameters with the those in the config and raising errors.

To avoid this, we now skip applying the wrapper to any (Cython) methods that do not have signatures.

spacy/ml/callbacks.py

@@ -89,11 +89,14 @@ def pipes_with_nvtx_range(
                 types.MethodType(nvtx_range_wrapper_for_pipe_method, pipe), func
             )
 
-            # Try to preserve the original function signature.
+            # We need to preserve the original function signature so that
+            # the original parameters are passed to pydantic for validation downstream.
             try:
                 wrapped_func.__signature__ = inspect.signature(func)  # type: ignore
             except:
-                pass
+                # Can fail for Cython methods that do not have bindings.
+                warnings.warn(Warnings.W122.format(method=name, pipe=pipe.name))
+                continue
 
             try:
                 setattr(

spacy/pipeline/pipe.pyx

@@ -1,4 +1,4 @@
-# cython: infer_types=True, profile=True
+# cython: infer_types=True, profile=True, binding=True
 from typing import Optional, Tuple, Iterable, Iterator, Callable, Union, Dict
 import srsly
 import warnings

spacy/pipeline/trainable_pipe.pyx

@@ -1,4 +1,4 @@
-# cython: infer_types=True, profile=True
+# cython: infer_types=True, profile=True, binding=True
 from typing import Iterable, Iterator, Optional, Dict, Tuple, Callable
 import srsly
 from thinc.api import set_dropout_rate, Model, Optimizer