[MinMax] set_ignored_scope method (#3274)

### Changes

`set_ignored_scope` method in the MinMax algorithm is introduced

### Reason for changes

To allow later ignored scope settings (requires for the executorch
implementation)


### Tests

tests/cross_fw/test_templates/test_min_max.py: test_set_ignored_scope

Author: daniil-lyakhov

nncf/quantization/algorithms/min_max/algorithm.py

@@ -334,6 +334,14 @@ def _init_cache(self) -> None:
         )
         self._unified_scale_groups = []
 
+    def set_ignored_scope(self, ignored_scope: IgnoredScope) -> None:
+        """
+        Set target ignored scope for the MinMax algorithm.
+
+        :param ignored_scope: The ignored scope to set to the MinMax algorithm.
+        """
+        self._ignored_scope = ignored_scope
+
     @property
     def available_backends(self) -> List[BackendType]:
         return [BackendType.ONNX, BackendType.OPENVINO, BackendType.TORCH, BackendType.TORCH_FX]

tests/cross_fw/test_templates/test_min_max.py

@@ -13,13 +13,24 @@
 
 import pytest
 
+import nncf
 from nncf.common.graph.graph import NNCFGraph
 from nncf.common.graph.graph import NNCFNode
 from nncf.common.graph.layer_attributes import BaseLayerAttributes
 from nncf.common.graph.transformations.commands import TargetPoint
 from nncf.common.graph.transformations.commands import TargetType
+from nncf.quantization.algorithms.min_max.algorithm import MinMaxQuantization
 from nncf.quantization.algorithms.min_max.backend import MinMaxAlgoBackend
 
+
+def test_set_ignored_scope():
+    algorithm = MinMaxQuantization()
+    assert algorithm._ignored_scope == nncf.IgnoredScope()
+    ref_ignored_scope = nncf.IgnoredScope(names=["add_1"], patterns=["linear*"], types=["conv"])
+    algorithm.set_ignored_scope(ref_ignored_scope)
+    assert algorithm._ignored_scope is ref_ignored_scope
+
+
 CONV_WEIGHT_SHAPE = (3, 10, 4, 4)
 DEPTHWISECONV_WEIGHT_SHAPE = (5, 10, 20, 7, 7)
 MATMUL_WEIGHT_SHAPE = (2, 4)