Docstring update

src/brevitas/graph/gpxq.py

@@ -200,23 +200,23 @@ def catch_stopfwd(self, *args, **kwargs):
 
 class gpfq_mode(gpxq_mode):
     """
-    Apply GPTQ algorithm https://arxiv.org/abs/2210.17323.
+    Apply GPFQ algorithm.
 
     Args:
-        model (Module): The model to quantize with GPTQ
-        inplace (bool): Wheter to apply GPTQ inplace or perform a deepcopy. Default: True
+        model (Module): The model to quantize with GPFQ
+        inplace (bool): Wheter to apply GPFQ inplace or perform a deepcopy. Default: True
         use_quant_activations (bool): Wheter to leave quantize activations enabled while performing
-            GPTQ. Default: False
+            GPFQ. Default: False
 
     Example:
         >>> with torch.no_grad():
-        >>>     with gptq_mode(model) as gptq:
-        >>>         gptq_model = gptq.model
-        >>>         for i in tqdm(range(gptq.num_layers)):
+        >>>     with gpfq_mode(model) as gpfq:
+        >>>         gpfq_model = gpfq.model
+        >>>         for i in tqdm(range(gpfq.num_layers)):
         >>>             for img, t in calib_loader:
         >>>                 img = img.cuda()
-        >>>                 gptq_model(img)
-        >>>             gptq.update()
+        >>>                 gpfq_model(img)
+        >>>             gpfq.update()
     """
 
     def __init__(