Change variable name

Author: KazunoriSumiya

tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_mct_wrapper.ipynb

@@ -591,7 +591,7 @@
    "outputs": [],
    "source": [
     "# 1. Basic Post-Training Quantization for PyTorch\n",
-    "flag, quantized_model = PTQ_Pytorch(float_model)"
+    "flag, quantized_mode_ptq = PTQ_Pytorch(float_model)"
    ]
   },
   {
@@ -602,7 +602,7 @@
    "outputs": [],
    "source": [
     "# 2. PTQ with Mixed Precision (optimized size/accuracy trade-off for PyTorch)\n",
-    "flag, quantized_model2 = PTQ_Pytorch_mixed_precision(float_model)"
+    "flag, quantized_model_ptq_mixed_precision = PTQ_Pytorch_mixed_precision(float_model)"
    ]
   },
   {
@@ -613,7 +613,7 @@
    "outputs": [],
    "source": [
     "# 3. Gradient-based PTQ (improved accuracy through fine-tuning for PyTorch)\n",
-    "flag, quantized_model3 = GPTQ_Pytorch(float_model)"
+    "flag, quantized_model_gptq = GPTQ_Pytorch(float_model)"
    ]
   },
   {
@@ -624,7 +624,7 @@
    "outputs": [],
    "source": [
     "# 4. GPTQ with Mixed Precision (best accuracy with optimal compression for PyTorch)\n",
-    "flag, quantized_model4 = GPTQ_Pytorch_mixed_precision(float_model)"
+    "flag, quantized_model_gptq_mixed_precision = GPTQ_Pytorch_mixed_precision(float_model)"
    ]
   },
   {
@@ -673,7 +673,7 @@
    "source": [
     "# Evaluate PTQ quantized PyTorch model accuracy\n",
     "print(\"\\n=== PyTorch PTQ Model Evaluation ===\")\n",
-    "evaluate(quantized_model, val_dataloader, 'PTQ_Pytorch')"
+    "evaluate(quantized_mode_ptq, val_dataloader, 'PTQ_Pytorch')"
    ]
   },
   {
@@ -685,7 +685,7 @@
    "source": [
     "# Evaluate PTQ + Mixed Precision PyTorch model accuracy\n",
     "print(\"\\n=== PyTorch PTQ + Mixed Precision Model Evaluation ===\")\n",
-    "evaluate(quantized_model2, val_dataloader, 'PTQ_Pytorch_mixed_precision')"
+    "evaluate(quantized_model_ptq_mixed_precision, val_dataloader, 'PTQ_Pytorch_mixed_precision')"
    ]
   },
   {
@@ -697,7 +697,7 @@
    "source": [
     "# Evaluate GPTQ quantized PyTorch model accuracy\n",
     "print(\"\\n=== PyTorch GPTQ Model Evaluation ===\")\n",
-    "evaluate(quantized_model3, val_dataloader, 'GPTQ_Pytorch')"
+    "evaluate(quantized_model_gptq, val_dataloader, 'GPTQ_Pytorch')"
    ]
   },
   {
@@ -709,7 +709,7 @@
    "source": [
     "# Evaluate GPTQ + Mixed Precision PyTorch model accuracy\n",
     "print(\"\\n=== PyTorch GPTQ + Mixed Precision Model Evaluation ===\")\n",
-    "evaluate(quantized_model4, val_dataloader, 'GPTQ_Pytorch_mixed_precision')"
+    "evaluate(quantized_model_gptq_mixed_precision, val_dataloader, 'GPTQ_Pytorch_mixed_precision')"
    ]
   },
   {