diff --git a/validate.py b/validate.py
index 6f27383fefa61458336afc3078b2d8be3b46cf9c..758f7cfdb8818cfe5a4868b6c0dda3de6beefbb7 100644
--- a/validate.py
+++ b/validate.py
@@ -28,10 +28,10 @@ def load_data(file):
 def format_output_name(name):
   return re.sub('[^0-9a-zA-Z]+', '_', name)
 
-def compare_output(mace_out_value, out_value):
+def compare_output(output_name, mace_out_value, out_value):
   if mace_out_value.size != 0:
     similarity = (1 - spatial.distance.cosine(out_value.flat, mace_out_value.flat))
-    print 'MACE VS TF similarity: ', similarity
+    print output_name, 'MACE VS', FLAGS.platform.upper(), 'similarity: ', similarity
     if (FLAGS.mace_runtime == "cpu" and similarity > 0.999) or \
         (FLAGS.mace_runtime == "gpu" and similarity > 0.995) or \
         (FLAGS.mace_runtime == "dsp" and similarity > 0.930):
@@ -71,7 +71,7 @@ def validate_tf_model(input_names, input_shapes, output_names):
         for i in range(len(output_names)):
           output_file_name = FLAGS.mace_out_file + "_" + format_output_name(output_names[i])
           mace_out_value = load_data(output_file_name)
-          compare_output(mace_out_value, output_values[i])
+          compare_output(output_names[i], mace_out_value, output_values[i])
 
 def validate_caffe_model(input_names, input_shapes, output_names, output_shapes):
   os.environ['GLOG_minloglevel'] = '1' # suprress Caffe verbose prints
@@ -101,7 +101,7 @@ def validate_caffe_model(input_names, input_shapes, output_names, output_shapes)
     value = value.reshape(out_shape).transpose((0, 2, 3, 1))
     output_file_name = FLAGS.mace_out_file + "_" + format_output_name(output_names[i])
     mace_out_value = load_data(output_file_name)
-    compare_output(mace_out_value, value)
+    compare_output(output_names[i], mace_out_value, value)
 
 def main(unused_args):
   input_names = [name for name in FLAGS.input_node.split(',')]
diff --git a/validate_tools.sh b/validate_tools.sh
index fefbce489432865b62bf39dc1dd7f1f5878d9129..9468ea6e9c23f174785952be2fea3e62a4e45873 100644
--- a/validate_tools.sh
+++ b/validate_tools.sh
@@ -31,7 +31,7 @@ if [ "$GENERATE_DATA_OR_NOT" = 1 ]; then
 fi
 
 if [ "$PLATFORM" == "tensorflow" ];then
-  if [[ x"$TARGET_ABI" -ne x"host" ]]; then
+  if [[ x"$TARGET_ABI" != x"host" ]]; then
     for NAME in "${OUTPUT_NAMES[@]}";do
       FORMATTED_NAME=$(sed s/[^[:alnum:]]/_/g <<< ${NAME})
       rm -rf ${MODEL_OUTPUT_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME}
@@ -73,14 +73,17 @@ elif [ "$PLATFORM" == "caffe" ];then
     docker cp ${MODEL_OUTPUT_DIR}/${INPUT_FILE_NAME}_${FORMATTED_NAME} ${CONTAINER_NAME}:/mace
   done
 
-  if [[ x"$TARGET_ABI" -ne x"host" ]]; then
+  if [[ x"$TARGET_ABI" != x"host" ]]; then
     for NAME in "${OUTPUT_NAMES[@]}";do
       FORMATTED_NAME=$(sed s/[^[:alnum:]]/_/g <<< ${NAME})
       rm -rf ${MODEL_OUTPUT_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME}
-      adb </dev/null pull ${PHONE_DATA_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME} ${MODEL_OUTPUT_DIR}
-      docker cp ${MODEL_OUTPUT_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME} ${CONTAINER_NAME}:/mace
+      adb pull ${PHONE_DATA_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME} ${MODEL_OUTPUT_DIR}
     done
   fi
+  for NAME in "${OUTPUT_NAMES[@]}";do
+    FORMATTED_NAME=$(sed s/[^[:alnum:]]/_/g <<< ${NAME})
+    docker cp ${MODEL_OUTPUT_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME} ${CONTAINER_NAME}:/mace
+  done
 
   MODEL_FILE_NAME=$(basename ${MODEL_FILE_PATH})
   WEIGHT_FILE_NAME=$(basename ${WEIGHT_FILE_PATH})