Arm backend: Remove _QuantizerReporterUserMixin

_QuantizerReporterUserMixin was a duplicated class with the name
QuantizerReporterUser. Remove the former to instead use the latter.

Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com>
Change-Id: Iafe28304ab1813a8f88f58e75fc9a277158e7773

Author: martinlsm

backends/arm/quantizer/arm_quantizer_utils.py

@@ -21,6 +21,7 @@
 from executorch.backends.arm.common.annotation_meta import ArmAnnotationInfo
 from executorch.backends.arm.constants import DISALLOW_TFA_META_KEY
 from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
+from executorch.backends.cortex_m.quantizer_reporter import QuantizerReporterUser
 from torch.fx import Node
 
 from torchao.quantization.pt2e.quantizer import (
@@ -160,25 +161,6 @@ def _get_int32_per_channel_bias_qspec(node):
     )
 
 
-class _QuantizerReporterUserMixin:
-    def __init__(self):
-        self.reporter = None
-
-    def register_reporter(self, reporter) -> None:
-        self.reporter = reporter
-
-    def report_reject(self, pattern: list[Node], reason: str) -> None:
-        if self.reporter is not None:
-            self.reporter.report_reject(self, pattern, reason)
-
-    def report_accept(self, pattern: list[Node]) -> None:
-        if self.reporter is not None:
-            self.reporter.report_accept(self, pattern)
-
-    def get_quantizer_info(self):
-        raise NotImplementedError("Quantizer must implement get_quantizer_info method.")
-
-
 class PatternCheck:
     """Base class for pattern checks.
 
@@ -248,7 +230,7 @@ def find_nodes(self, model: torch.fx.GraphModule) -> Iterator[Node]:
         pass
 
 
-class PatternQuantizer(Quantizer, _QuantizerReporterUserMixin):
+class PatternQuantizer(Quantizer, QuantizerReporterUser):
     """Quantizes a graph according to an OperatorConfig.
 
     Args:
@@ -265,7 +247,7 @@ def __init__(
         pattern_matcher: "PatternMatcher",
     ) -> None:
         super().__init__()
-        _QuantizerReporterUserMixin.__init__(self)
+        QuantizerReporterUser.__init__(self)
         self.quantization_config: QuantizationConfig | None = quantization_config
         self.node_finder: "NodeFinder" = node_finder
         self.pattern_matcher: "PatternMatcher" = pattern_matcher
@@ -397,7 +379,7 @@ def validate(self, model: torch.fx.GraphModule) -> bool:  # type: ignore[overrid
         return True
 
 
-class SharedQspecQuantizer(Quantizer, _QuantizerReporterUserMixin):
+class SharedQspecQuantizer(Quantizer, QuantizerReporterUser):
     """Assures that specific ops share quantization parameters on all
     inputs/outputs.
     """
@@ -495,7 +477,7 @@ class SharedQspecQuantizer(Quantizer, _QuantizerReporterUserMixin):
 
     def __init__(self, targets: Optional[list[Callable[..., object]]] = None) -> None:
         super().__init__()
-        _QuantizerReporterUserMixin.__init__(self)
+        QuantizerReporterUser.__init__(self)
         if targets is None:
             self.targets = self.SHARED_QSPEC_OPS_DEFAULT
             self.support_config_path = (