fix ptq compatibility (#1208)

* fix ptq compatibility

* touch off CI

paddleslim/quant/quanter.py

@@ -453,30 +453,56 @@ def quant_post_static(
     Returns:
         None
     """
-    post_training_quantization = PostTrainingQuantization(
-        executor=executor,
-        sample_generator=sample_generator,
-        batch_generator=batch_generator,
-        data_loader=data_loader,
-        model_dir=model_dir,
-        model_filename=model_filename,
-        params_filename=params_filename,
-        batch_size=batch_size,
-        batch_nums=batch_nums,
-        scope=scope,
-        algo=algo,
-        round_type=round_type,
-        hist_percent=hist_percent,
-        bias_correction=bias_correction,
-        quantizable_op_type=quantizable_op_type,
-        is_full_quantize=is_full_quantize,
-        weight_bits=weight_bits,
-        activation_bits=activation_bits,
-        activation_quantize_type=activation_quantize_type,
-        weight_quantize_type=weight_quantize_type,
-        onnx_format=onnx_format,
-        skip_tensor_list=skip_tensor_list,
-        optimize_model=optimize_model)
+    try:
+        post_training_quantization = PostTrainingQuantization(
+            executor=executor,
+            sample_generator=sample_generator,
+            batch_generator=batch_generator,
+            data_loader=data_loader,
+            model_dir=model_dir,
+            model_filename=model_filename,
+            params_filename=params_filename,
+            batch_size=batch_size,
+            batch_nums=batch_nums,
+            scope=scope,
+            algo=algo,
+            round_type=round_type,
+            hist_percent=hist_percent,
+            bias_correction=bias_correction,
+            quantizable_op_type=quantizable_op_type,
+            is_full_quantize=is_full_quantize,
+            weight_bits=weight_bits,
+            activation_bits=activation_bits,
+            activation_quantize_type=activation_quantize_type,
+            weight_quantize_type=weight_quantize_type,
+            onnx_format=onnx_format,
+            skip_tensor_list=skip_tensor_list,  # support in Paddle >= 2.3.1
+            optimize_model=optimize_model)
+    except:
+        post_training_quantization = PostTrainingQuantization(
+            executor=executor,
+            sample_generator=sample_generator,
+            batch_generator=batch_generator,
+            data_loader=data_loader,
+            model_dir=model_dir,
+            model_filename=model_filename,
+            params_filename=params_filename,
+            batch_size=batch_size,
+            batch_nums=batch_nums,
+            scope=scope,
+            algo=algo,
+            round_type=round_type,
+            hist_percent=hist_percent,
+            bias_correction=bias_correction,
+            quantizable_op_type=quantizable_op_type,
+            is_full_quantize=is_full_quantize,
+            weight_bits=weight_bits,
+            activation_bits=activation_bits,
+            activation_quantize_type=activation_quantize_type,
+            weight_quantize_type=weight_quantize_type,
+            onnx_format=onnx_format,
+            optimize_model=optimize_model)
+
     post_training_quantization.quantize()
     post_training_quantization.save_quantized_model(
         quantize_model_path,