[Torch Fx] PTQ Quantizer config test (#2937)

### Changes

New test file added in tests/torch/fx. Implemented
TemplateTestQuantizerConfig for the ptq quantizer for TorchFX backend.

### Related tickets

Closes issue #2874

tests/torch/fx/helpers.py

@@ -24,6 +24,14 @@
 
 from nncf.experimental.torch.fx.transformations import apply_quantization_transformations
 from nncf.torch.dynamic_graph.patch_pytorch import disable_patching
+from nncf.torch.graph.graph import PTNNCFGraph
+from nncf.torch.graph.operator_metatypes import PTConstNoopMetatype
+from nncf.torch.graph.operator_metatypes import PTModuleConv2dMetatype
+from nncf.torch.graph.operator_metatypes import PTModuleDepthwiseConv2dSubtype
+from nncf.torch.graph.operator_metatypes import PTSumMetatype
+from tests.cross_fw.test_templates.models import NNCFGraphToTest
+from tests.cross_fw.test_templates.models import NNCFGraphToTestDepthwiseConv
+from tests.cross_fw.test_templates.models import NNCFGraphToTestSumAggregation
 
 
 class TinyImagenetDatasetManager:
@@ -126,3 +134,28 @@ def get_torch_fx_model(model: torch.nn.Module) -> torch.fx.GraphModule:
         fx_model = capture_pre_autograd_graph(model, args=(ex_input,))
     apply_quantization_transformations(fx_model)
     return fx_model
+
+
+def get_single_conv_nncf_graph() -> NNCFGraphToTest:
+    return NNCFGraphToTest(
+        conv_metatype=PTModuleConv2dMetatype,
+        nncf_graph_cls=PTNNCFGraph,
+        const_metatype=PTConstNoopMetatype,
+    )
+
+
+def get_depthwise_conv_nncf_graph() -> NNCFGraphToTestDepthwiseConv:
+    return NNCFGraphToTestDepthwiseConv(
+        depthwise_conv_metatype=PTModuleDepthwiseConv2dSubtype,
+        nncf_graph_cls=PTNNCFGraph,
+        const_metatype=PTConstNoopMetatype,
+    )
+
+
+def get_sum_aggregation_nncf_graph() -> NNCFGraphToTestSumAggregation:
+    return NNCFGraphToTestSumAggregation(
+        conv_metatype=PTModuleConv2dMetatype,
+        sum_metatype=PTSumMetatype,
+        nncf_graph_cls=PTNNCFGraph,
+        const_metatype=PTConstNoopMetatype,
+    )

tests/torch/fx/test_quantizer_config.py

@@ -0,0 +1,38 @@
+# Copyright (c) 2024 Intel Corporation
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#      http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+
+from nncf.quantization.algorithms.min_max.torch_fx_backend import FXMinMaxAlgoBackend
+from tests.cross_fw.test_templates.models import NNCFGraphToTest
+from tests.cross_fw.test_templates.models import NNCFGraphToTestDepthwiseConv
+from tests.cross_fw.test_templates.models import NNCFGraphToTestSumAggregation
+from tests.cross_fw.test_templates.test_quantizer_config import TemplateTestQuantizerConfig
+from tests.torch.fx.helpers import get_depthwise_conv_nncf_graph
+from tests.torch.fx.helpers import get_single_conv_nncf_graph
+from tests.torch.fx.helpers import get_sum_aggregation_nncf_graph
+
+
+class TestQuantizerConfig(TemplateTestQuantizerConfig):
+    def get_algo_backend(self):
+        return FXMinMaxAlgoBackend()
+
+    @pytest.fixture
+    def single_conv_nncf_graph(self) -> NNCFGraphToTest:
+        return get_single_conv_nncf_graph()
+
+    @pytest.fixture
+    def depthwise_conv_nncf_graph(self) -> NNCFGraphToTestDepthwiseConv:
+        return get_depthwise_conv_nncf_graph()
+
+    @pytest.fixture
+    def conv_sum_aggregation_nncf_graph(self) -> NNCFGraphToTestSumAggregation:
+        return get_sum_aggregation_nncf_graph()