Renamed the quant to gptqquant class

Author: amitsrivastava78

keras/src/quantizers/gptqutils.py

@@ -13,7 +13,7 @@
 from keras.src.layers import Embedding
 
 from .gptq import GPTQ
-from .quant import Quantizer
+from .quant import GPTQQuant
 
 
 def get_dataloader(tokenizer, seqlen, dataset, nsamples=128, seed=0):
@@ -363,7 +363,7 @@ def hook(*args, **kwargs):
                 inp_reshaped = ops.reshape(layer_inputs, (-1, num_features))
                 gptq_object.update_hessian_with_batch(inp_reshaped)
 
-            quantizer = Quantizer()
+            quantizer = GPTQQuant()
             quantizer.configure(
                 wbits, perchannel=True, sym=symmetric, groupsize=groupsize
             )

keras/src/quantizers/quant.py

@@ -17,7 +17,7 @@ def quantize(x, scale, zero, maxq):
     return scale * (q - zero)
 
 
-class Quantizer:
+class GPTQQuant:
     """
     This version contains the definitive fix for the per-tensor shape mismatch,
     as identified by the unit test. It now correctly tiles the per-tensor