Fix post train quantize

.gitlab-ci.yml

@@ -151,7 +151,7 @@ model_tests:
       python tools/converter.py run --config=${CONF_FILE} --target_socs=$TARGET_SOCS --round=1 --validate --model_graph_format=code --model_data_format=file || exit 1;
       python tools/converter.py run --config=${CONF_FILE} --target_socs=$TARGET_SOCS --example --round=1 --validate --model_graph_format=code --model_data_format=file || exit 1;
       python tools/converter.py benchmark --config=${CONF_FILE} --target_socs=$TARGET_SOCS --round=5 --model_graph_format=code --model_data_format=file || exit 1;
- 
+
     - rm -rf mace-models
 
 quantization_tests:
@@ -167,7 +167,7 @@ quantization_tests:
       fi
     - if [ -z "$TARGET_SOCS" ]; then TARGET_SOCS=random; fi
     - >
-      for CONF_FILE in mace-models/mobilenet-v1/mobilenet-v1-quantize-retrain.yml mace-models/mobilenet-v1/mobilenet-v1-quantize-retrain-for-check-only.yml mace-models/mobilenet-v1/mobilenet-v1-quantize-retrain-dsp.yml;
+      for CONF_FILE in mace-models/mobilenet-v1/mobilenet-v1-quantize-friendly.yml mace-models/mobilenet-v1/mobilenet-v1-quantize-retrain-for-check-only.yml mace-models/mobilenet-v1/mobilenet-v1-quantize-retrain-dsp.yml;
       do
       python tools/converter.py convert --config=${CONF_FILE} --target_socs=$TARGET_SOCS --model_graph_format=file --model_data_format=file || exit 1;
       python tools/converter.py run --config=${CONF_FILE} --target_socs=$TARGET_SOCS --device_yml=${DEVICE_CONF_FILE} --round=1 --validate --model_graph_format=file --model_data_format=file || exit 1;

mace/python/tools/converter_tool/transformer.py

@@ -1713,8 +1713,8 @@ class Transformer(base_converter.ConverterInterface):
                     mace_check(output in self._quantize_activation_info,
                                "%s does not have quantize activation info"
                                % op)
-                    op.quantize_info.append(
-                        self._quantize_activation_info[output])
+                    op.quantize_info.extend([
+                        self._quantize_activation_info[output]])
 
         if not self._option.quantize:
             return False