From d6fc4050bc736ca7008351c299bcb9d3bbcfc815 Mon Sep 17 00:00:00 2001
From: Samuel Burbulla <s.burbulla@appliedai-institute.de>
Date: Thu, 22 Jun 2023 15:44:58 +0200
Subject: [PATCH] Rename l to loss to fix codacity check.

---
 deepxde/data/pde_operator.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/deepxde/data/pde_operator.py b/deepxde/data/pde_operator.py
index 0e3321d7e..9b5505958 100644
--- a/deepxde/data/pde_operator.py
+++ b/deepxde/data/pde_operator.py
@@ -263,7 +263,7 @@ def _losses(self, outputs, loss_fn, inputs, model, num_func):
 
         losses = zip(*losses)
         # Use stack instead of as_tensor to keep the gradients.
-        losses = [bkd.reduce_mean(bkd.stack(l, axis=0)) for l in losses]
+        losses = [bkd.reduce_mean(bkd.stack(loss, axis=0)) for loss in losses]
         return losses
 
     def losses_train(self, targets, outputs, loss_fn, inputs, model, aux=None):