Convert parser from cdef class

setup.py

@@ -30,7 +30,6 @@ MOD_NAMES = [
     "spacy.vocab",
     "spacy.attrs",
     "spacy.kb",
-    "spacy.ml.parser_model",
     "spacy.morphology",
     "spacy.pipeline.dep_parser",
     "spacy.pipeline.morphologizer",
@@ -203,7 +202,9 @@ def setup_package():
     ext_modules = []
     for name in MOD_NAMES:
         mod_path = name.replace(".", "/") + ".pyx"
-        ext = Extension(name, [mod_path], language="c++", extra_compile_args=["-std=c++11"])
+        ext = Extension(
+            name, [mod_path], language="c++", extra_compile_args=["-std=c++11"]
+        )
         ext_modules.append(ext)
     print("Cythonizing sources")
     ext_modules = cythonize(ext_modules, compiler_directives=COMPILER_DIRECTIVES)

spacy/pipeline/dep_parser.pyx

@@ -3,8 +3,8 @@ from collections import defaultdict
 from typing import Optional, Iterable
 from thinc.api import Model, Config
 
-from .transition_parser cimport Parser
-from ._parser_internals.arc_eager cimport ArcEager
+from .transition_parser import Parser
+from ._parser_internals.arc_eager import ArcEager
 
 from .functions import merge_subtokens
 from ..language import Language
@@ -199,7 +199,7 @@ def make_beam_parser(
     )
 
 
-cdef class DependencyParser(Parser):
+class DependencyParser(Parser):
     """Pipeline component for dependency parsing.
 
     DOCS: https://nightly.spacy.io/api/dependencyparser

spacy/pipeline/ner.pyx

@@ -3,8 +3,8 @@ from collections import defaultdict
 from typing import Optional, Iterable
 from thinc.api import Model, Config
 
-from .transition_parser cimport Parser
-from ._parser_internals.ner cimport BiluoPushDown
+from .transition_parser import Parser
+from ._parser_internals.ner import BiluoPushDown
 
 from ..language import Language
 from ..scorer import get_ner_prf, PRFScore
@@ -160,7 +160,7 @@ def make_beam_ner(
     )
 
 
-cdef class EntityRecognizer(Parser):
+class EntityRecognizer(Parser):
     """Pipeline component for named entity recognition.
 
     DOCS: https://nightly.spacy.io/api/entityrecognizer

spacy/pipeline/transition_parser.pxd

@@ -1,19 +0,0 @@
-from cymem.cymem cimport Pool
-
-from ..vocab cimport Vocab
-from .trainable_pipe cimport TrainablePipe
-from ._parser_internals.transition_system cimport Transition, TransitionSystem
-from ._parser_internals._state cimport StateC
-from ..ml.parser_model cimport WeightsC, ActivationsC, SizesC
-
-
-cdef class Parser(TrainablePipe):
-    cdef public object _rehearsal_model
-    cdef readonly TransitionSystem moves
-    cdef public object _multitasks
-
-    cdef void _parseC(self, StateC** states,
-            WeightsC weights, SizesC sizes) nogil
-
-    cdef void c_transition_batch(self, StateC** states, const float* scores,
-            int nr_class, int batch_size) nogil

spacy/pipeline/transition_parser.pyx

@@ -17,21 +17,19 @@ import numpy
 import warnings
 
 from ._parser_internals.stateclass cimport StateClass
-from ..ml.parser_model cimport alloc_activations, free_activations
-from ..ml.parser_model cimport predict_states, arg_max_if_valid
-from ..ml.parser_model cimport WeightsC, ActivationsC, SizesC, cpu_log_loss
-from ..ml.parser_model cimport get_c_weights, get_c_sizes
 from ..tokens.doc cimport Doc
 from .trainable_pipe import TrainablePipe
 from ._parser_internals cimport _beam_utils
 from ._parser_internals import _beam_utils
+from ..vocab cimport Vocab
+from ._parser_internals.transition_system cimport TransitionSystem
 
 from ..training import validate_examples, validate_get_examples
 from ..errors import Errors, Warnings
 from .. import util
 
 
-cdef class Parser(TrainablePipe):
+class Parser(TrainablePipe):
     """
     Base class of the DependencyParser and EntityRecognizer.
     """
@@ -272,24 +270,23 @@ cdef class Parser(TrainablePipe):
         return d_scores
 
     def _get_costs_from_histories(self, examples, histories):
+        cdef TransitionSystem moves = self.moves
         cdef StateClass state
         cdef int clas
         cdef int nF = self.model.state2vec.nF
-        cdef int nO = self.moves.n_moves
+        cdef int nO = moves.n_moves
         cdef int nS = sum([len(history) for history in histories])
         cdef np.ndarray costs = numpy.zeros((nS, nO), dtype="f")
         cdef Pool mem = Pool()
         is_valid = <int*>mem.alloc(nO, sizeof(int))
         c_costs = <float*>costs.data
-        states = self.moves.init_states([eg.x for eg in examples])
+        states = moves.init_states([eg.x for eg in examples])
         cdef int i = 0
         for eg, state, history in zip(examples, states, histories):
-            gold = self.moves.init_gold(state, eg)
+            gold = moves.init_gold(state, eg)
             for clas in history:
-                # Set a row into the C data of the arrays (which we return)
-                state.c.set_context_tokens(&c_ids[i*nF], nF)
-                self.moves.set_costs(is_valid, &c_costs[i*nO], state.c, gold)
-                action = self.moves.c[clas]
+                moves.set_costs(is_valid, &c_costs[i*nO], state.c, gold)
+                action = moves.c[clas]
                 action.do(state.c, action.label)
                 state.c.history.push_back(clas)
                 i += 1