Fix sdxl q_unet config (#2081)

Signed-off-by: Kaihui-intel <kaihui.tang@intel.com>

Author: Kaihui-intel

examples/3.x_api/pytorch/diffusion_model/diffusers/stable_diffusion/smooth_quant/run_benchmark.sh

@@ -50,19 +50,13 @@ function run_benchmark {
 
     if [[ ${mode} == "performance" ]]; then
       extra_cmd=$extra_cmd" --performance"
-      if [[ ${int8} == "true" ]]; then
-        extra_cmd=$extra_cmd" --int8"
-      fi
       echo $extra_cmd
 
       python -u sdxl_smooth_quant.py \
         --model_name_or_path ${model_name_or_path} \
         --latent ${latent} \
         ${extra_cmd}
     else
-      if [[ ${int8} == "true" ]]; then
-        extra_cmd=$extra_cmd" --int8"
-      fi
       echo $extra_cmd
 
       python -u sdxl_smooth_quant.py \
@@ -82,7 +76,7 @@ function run_benchmark {
       cd mlperf_sd_inference
       cp ../main.py ./
       if [ -d "../saved_results/" ]; then
-        mv ../saved_results/ ./
+        cp -r ../saved_results/ ./
       fi
 
       python -u main.py \

examples/3.x_api/pytorch/diffusion_model/diffusers/stable_diffusion/smooth_quant/sdxl_smooth_quant.py

@@ -406,10 +406,10 @@ def forward_loop(model):
         if args.int8:
             from neural_compressor.torch.quantization import load
             q_unet = load(os.path.abspath(os.path.expanduser(args.output_dir)))
-            setattr(q_unet, "config", pipeline.unet.config)
         else:
             q_unet = pipeline.unet
-    
+    if not hasattr(q_unet, "config"):
+        setattr(q_unet, "config", pipeline.unet.config)
     pipeline.unet = q_unet
     quant_images = prompts2images(pipeline, prompts, n_steps=args.n_steps, latent=init_latent)
     save_images(prompts, quant_images, args.output_dir, prefix='quant')