Optimized inference with onnx for patchcore. (#652)

results inferenced with onnx is inconsistent with torch, especially the four vertices.

anomalib/models/patchcore/torch_model.py

@@ -38,7 +38,7 @@ def __init__(
         self.num_neighbors = num_neighbors
 
         self.feature_extractor = FeatureExtractor(backbone=self.backbone, pre_trained=pre_trained, layers=self.layers)
-        self.feature_pooler = torch.nn.AvgPool2d(3, 1, 1)
+        self.feature_pooler = torch.nn.AvgPool2d(3, 1, 1, count_include_pad=False)
         self.anomaly_map_generator = AnomalyMapGenerator(input_size=input_size)
 
         self.register_buffer("memory_bank", Tensor())