Make metric calculation in denoising more robust

Author: danifranco

biapy/engine/denoising.py

@@ -233,7 +233,7 @@ def metric_calculation(
 
         with torch.no_grad():
             for i, metric in enumerate(list_to_use):
-                val = metric(_output, _targets[:, _output.shape[1]:].contiguous())
+                val = metric(_output.contiguous(), _targets[:, _output.shape[1]:].contiguous())
                 val = val.item() if not torch.isnan(val) else 0
                 out_metrics[list_names_to_use[i]] = val