Move quantizer_reporter out from cortex_m.quantizer

When importing backends.cortex_m.quantizer.quantizer_reporter from
backends.arm.quantizer.arm_quantizer_utils, a cyclic dependency chain is
is formed. The problem is that quantizer_reporter triggers
backends/cortex_m/quantizer/__init__.py when imported, which in turn has
imports leading back to the Arm backend.

To fix this problem, move quantizer_reporter to backends/cortex_m so it
can be imported without forming any cycle.

Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com>
Change-Id: I757aa090d35f47bdce4d523b064217c3069adf41

Author: martinlsm

backends/arm/quantizer/arm_quantizer.py

@@ -39,7 +39,7 @@
 )
 from executorch.backends.cortex_m.quantizer.pattern_matcher import PatternMatcher
 
-from executorch.backends.cortex_m.quantizer.quantizer_reporter import (
+from executorch.backends.cortex_m.quantizer_reporter import (
     QuantizerReporter,
     SUPPORTED_QCONFIGS,
     SUPPORTED_QSPECS,

backends/arm/quantizer/arm_quantizer_utils.py

@@ -271,7 +271,7 @@ def __init__(
         self.pattern_matcher: "PatternMatcher" = pattern_matcher
 
     def get_quantizer_info(self):
-        from executorch.backends.cortex_m.quantizer.quantizer_reporter import (
+        from executorch.backends.cortex_m.quantizer_reporter import (
             QuantizerInfo,
             SUPPORTED_QCONFIGS,
         )
@@ -508,9 +508,7 @@ def __init__(self, targets: Optional[list[Callable[..., object]]] = None) -> Non
             )
 
     def get_quantizer_info(self):
-        from executorch.backends.cortex_m.quantizer.quantizer_reporter import (
-            QuantizerInfo,
-        )
+        from executorch.backends.cortex_m.quantizer_reporter import QuantizerInfo
 
         name = self.__class__.__name__
         targeted_nodes_description = ""

backends/cortex_m/TARGETS

@@ -0,0 +1,21 @@
+# Copyright 2026 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "quantizer_reporter",
+    srcs = [
+        "quantizer_reporter.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//pytorch/ao:torchao",
+        "fbsource//third-party/pypi/tabulate:tabulate",
+    ],
+)

backends/cortex_m/quantizer/TARGETS

@@ -17,7 +17,6 @@ python_library(
         "pattern_matcher.py",
         "quantization_configs.py",
         "quantizer.py",
-        "quantizer_reporter.py",
         "quantizer_support.py",
     ],
     deps = [
@@ -27,6 +26,7 @@ python_library(
         "//executorch/backends/arm/quantizer:arm_quantizer_utils",
         "//executorch/backends/arm/quantizer:quantization_annotator",
         "//executorch/backends/arm/quantizer:quantization_config",
+        "//executorch/backends/cortex_m:quantizer_reporter",
         "//pytorch/ao:torchao",
         "fbsource//third-party/pypi/tabulate:tabulate",
     ],
@@ -42,19 +42,7 @@ python_library(
         "//caffe2:torch",
         "//executorch/backends/arm/quantizer:arm_quantizer_utils",
         "//executorch/backends/arm/quantizer:quantization_config",
+        "//executorch/backends/cortex_m:quantizer_reporter",
         "//pytorch/ao:torchao",
-        ":quantizer_reporter",
-    ],
-)
-
-python_library(
-    name = "quantizer_reporter",
-    srcs = [
-        "quantizer_reporter.py",
-    ],
-    deps = [
-        "//caffe2:torch",
-        "//pytorch/ao:torchao",
-        "fbsource//third-party/pypi/tabulate:tabulate",
     ],
 )

backends/cortex_m/quantizer/quantization_configs.py

@@ -10,7 +10,7 @@
     _get_int32_per_channel_bias_qspec,
 )
 from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
-from executorch.backends.cortex_m.quantizer.quantizer_reporter import (
+from executorch.backends.cortex_m.quantizer_reporter import (
     SUPPORTED_QCONFIGS,
     SUPPORTED_QSPECS,
 )

backends/cortex_m/quantizer/quantizer.py

@@ -22,13 +22,13 @@
     INT8_PER_CHANNEL_CONFIG,
     INT8_PER_TENSOR_CONFIG,
 )
-from executorch.backends.cortex_m.quantizer.quantizer_reporter import QuantizerReporter
 from executorch.backends.cortex_m.quantizer.quantizer_support import (
     __name__ as cortex_m_quantizer_support_module,
     CONV_OP_PATTERNS,
     CONV_TRANSPOSE_OP_PATTERNS,
     CORTEX_M_QUANTIZER_SUPPORT_DICT,
 )
+from executorch.backends.cortex_m.quantizer_reporter import QuantizerReporter
 from torch._ops import OpOverload
 from torch.fx import GraphModule
 from torchao.quantization.pt2e.quantizer import ComposableQuantizer, Quantizer

…cortex_m/quantizer/quantizer_reporter.py backends/cortex_m/quantizer_reporter.pybackends/cortex_m/quantizer/quantizer_reporter.py renamed to backends/cortex_m/quantizer_reporter.py backends/cortex_m/quantizer/quantizer_reporter.py renamed to backends/cortex_m/quantizer_reporter.py

@@ -11,7 +11,7 @@
     INT8_WEIGHT_PER_TENSOR_QSPEC,
 )
 from executorch.backends.cortex_m.quantizer.quantizer import mark_node_as_annotated
-from executorch.backends.cortex_m.quantizer.quantizer_reporter import (
+from executorch.backends.cortex_m.quantizer_reporter import (
     logger as quantizer_logger,
     QuantizerInfo,
     QuantizerReport,