[TESTS] Revert ignored scope for conformance (#2975)

### Changes Revert ignored scope for conformance mobilenet_v3
openvinotoolkit · Sep 18, 2024 · a39e673 · a39e673
1 parent 42101d5
commit a39e673
Show file tree

Hide file tree

Showing 2 changed files with 2 additions and 55 deletions.
diff --git a/tests/post_training/data/ptq_reference_data.yaml b/tests/post_training/data/ptq_reference_data.yaml
@@ -41,7 +41,7 @@ torchvision/resnet18_backend_FX_TORCH:
 torchvision/mobilenet_v3_small_BC_backend_FP32:
   metric_value: 0.6766
 torchvision/mobilenet_v3_small_BC_backend_OV:
-  metric_value: 0.6677
+  metric_value: 0.6669
 torchvision/mobilenet_v3_small_BC_backend_ONNX:
   metric_value: 0.6679
 torchvision/mobilenet_v3_small_BC_backend_FX_TORCH:

diff --git a/tests/post_training/model_scope.py b/tests/post_training/model_scope.py
@@ -22,8 +22,6 @@
 from nncf.quantization.advanced_parameters import AdvancedQuantizationParameters
 from nncf.quantization.advanced_parameters import AdvancedScaleEstimationParameters
 from nncf.quantization.advanced_parameters import AdvancedSmoothQuantParameters
-from nncf.scopes import IgnoredScope
-from nncf.scopes import Subgraph
 from tests.post_training.pipelines.base import ALL_PTQ_BACKENDS
 from tests.post_training.pipelines.base import NNCF_PTQ_BACKENDS
 from tests.post_training.pipelines.base import BackendType
@@ -99,58 +97,7 @@
             "fast_bias_correction": False,
             "preset": QuantizationPreset.MIXED,
         },
-        "backends": [BackendType.FX_TORCH, BackendType.ONNX],
-        "batch_size": 128,
-    },
-    {  # TODO(kshpv): changes from #2947 should be reverted after implement ticket 150952
-        "reported_name": "torchvision/mobilenet_v3_small_BC",
-        "model_id": "mobilenet_v3_small",
-        "pipeline_cls": ImageClassificationTorchvision,
-        "compression_params": {
-            "fast_bias_correction": False,
-            "preset": QuantizationPreset.MIXED,
-            "ignored_scope": IgnoredScope(
-                subgraphs=[
-                    Subgraph(
-                        inputs=["__module.features.1.block.1.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.1.block.1.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.4.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.4.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.5.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.5.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.6.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.6.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.7.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.7.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.8.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.8.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.9.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.9.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.10.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.10.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                    Subgraph(
-                        inputs=["__module.features.11.block.2.avgpool/aten::adaptive_avg_pool2d/Reshape"],
-                        outputs=["__module.features.11.block.2.scale_activation/aten::hardsigmoid/HSigmoid"],
-                    ),
-                ]
-            ),
-        },
-        "backends": [BackendType.OV],
+        "backends": [BackendType.FX_TORCH, BackendType.OV, BackendType.ONNX],
         "batch_size": 128,
     },
     {