Fix (examples/generative): Fixed argument order for quantize_model (#…

…1084)

src/brevitas_examples/common/generative/quantize.py

@@ -478,27 +478,27 @@ def quantize_model(
         input_kwargs=None):
 
     linear_input_quant, weight_quant, input_quant, q_scaled_quant, k_transposed_quant, v_quant, attn_output_weights_quant = generate_quantizers(
-        dtype,
-        weight_bit_width,
-        weight_param_method,
-        weight_scale_precision,
-        weight_quant_type,
-        weight_quant_granularity,
-        weight_group_size,
-        quantize_weight_zero_point,
-        weight_quant_format,
-        input_bit_width,
-        input_quant_format,
-        input_scale_precision,
-        input_scale_type,
-        input_param_method,
-        input_quant_type,
-        input_quant_granularity,
-        input_group_size,
-        quantize_input_zero_point,
-        device,
-        weight_kwargs,
-        input_kwargs)
+        dtype=dtype,
+        weight_bit_width=weight_bit_width,
+        weight_param_method=weight_param_method,
+        weight_scale_precision=weight_scale_precision,
+        weight_quant_type=weight_quant_type,
+        weight_quant_granularity=weight_quant_granularity,
+        weight_group_size=weight_group_size,
+        quantize_weight_zero_point=quantize_weight_zero_point,
+        weight_quant_format=weight_quant_format,
+        input_bit_width=input_bit_width,
+        input_quant_format=input_quant_format,
+        input_scale_precision=input_scale_precision,
+        input_scale_type=input_scale_type,
+        input_param_method=input_param_method,
+        input_quant_type=input_quant_type,
+        input_quant_granularity=input_quant_granularity,
+        input_group_size=input_group_size,
+        quantize_input_zero_point=quantize_input_zero_point,
+        device=device,
+        weight_kwargs=weight_kwargs,
+        input_kwargs=input_kwargs)
     layer_map = generate_quant_maps(
         linear_input_quant,
         weight_quant,