diff --git a/example.yaml b/example.yaml
index 1d1523b09b449f867cc6dc285c84b9a07a9a2874..c476e20924e203206ff85fbb977f67ab6658993f 100644
--- a/example.yaml
+++ b/example.yaml
@@ -1,7 +1,8 @@
 # example.yaml
 # Each yaml file describes a exported library (could be named [target_abi]/libmace-${filename}.a), 
 # which can contains more than one models
-target_abi: armeabi-v7a # arm64-v8a
+target_abis: [armeabi-v7a, arm64-v8a]
+target_socs: [MSM8953] # target_socs not enabled yet
 embed_model_data: 1
 vlog_level: 0
 models:
diff --git a/mace_tools.py b/mace_tools.py
index 9533df877d95c319e1ddd7c6be023cdad4a80d79..69f105d0f5240d3d573634193e3316c9b10c9103 100644
--- a/mace_tools.py
+++ b/mace_tools.py
@@ -186,51 +186,55 @@ def main(unused_args):
   if FLAGS.mode == "validate":
     FLAGS.round = 1
 
-  target_abi = configs["target_abi"]
-  libmace_name = get_libs(target_abi, configs)
+  # target_abi = configs["target_abi"]
+  # libmace_name = get_libs(target_abi, configs)
   # Transfer params by environment
-  os.environ["TARGET_ABI"] = target_abi
+  # os.environ["TARGET_ABI"] = target_abi
   os.environ["EMBED_MODEL_DATA"] = str(configs["embed_model_data"])
   os.environ["VLOG_LEVEL"] = str(configs["vlog_level"])
   os.environ["PROJECT_NAME"] = os.path.splitext(FLAGS.config)[0]
 
-  model_output_dirs = []
-  for model_name in configs["models"]:
+  for target_abi in configs["target_abis"]:
+    libmace_name = get_libs(target_abi, configs)
     # Transfer params by environment
-    os.environ["MODEL_TAG"] = model_name
-    model_config = configs["models"][model_name]
-    for key in model_config:
-      os.environ[key.upper()] = str(model_config[key])
-
-    model_output_dir = FLAGS.output_dir + "/" + target_abi + "/" + os.path.splitext(
-        model_config["model_file_path"])[0]
-    model_output_dirs.append(model_output_dir)
-
-    if FLAGS.mode == "build" or FLAGS.mode == "all":
-      if os.path.exists(model_output_dir):
-        shutil.rmtree(model_output_dir)
-      os.makedirs(model_output_dir)
-      clear_env()
-
-    if FLAGS.mode == "build" or FLAGS.mode == "run" or FLAGS.mode == "validate" or FLAGS.mode == "all":
-      generate_random_input(model_output_dir)
-
-    if FLAGS.mode == "build" or FLAGS.mode == "all":
-      generate_model_code()
-      build_mace_run_prod(model_output_dir, FLAGS.tuning, libmace_name)
-
-    if FLAGS.mode == "run" or FLAGS.mode == "validate" or FLAGS.mode == "all":
-      run_model(model_output_dir, FLAGS.round)
-
-    if FLAGS.mode == "benchmark":
-      benchmark_model(model_output_dir)
-
-    if FLAGS.mode == "validate" or FLAGS.mode == "all":
-      validate_model(model_output_dir)
-
-  if FLAGS.mode == "build" or FLAGS.mode == "merge" or FLAGS.mode == "all":
-    merge_libs_and_tuning_results(FLAGS.output_dir + "/" + target_abi,
-                                  model_output_dirs)
+    os.environ["TARGET_ABI"] = target_abi
+    model_output_dirs = []
+    for model_name in configs["models"]:
+      # Transfer params by environment
+      os.environ["MODEL_TAG"] = model_name
+      model_config = configs["models"][model_name]
+      for key in model_config:
+        os.environ[key.upper()] = str(model_config[key])
+
+      model_output_dir = FLAGS.output_dir + "/" + target_abi + "/" + os.path.splitext(
+          model_config["model_file_path"])[0]
+      model_output_dirs.append(model_output_dir)
+
+      if FLAGS.mode == "build" or FLAGS.mode == "all":
+        if os.path.exists(model_output_dir):
+          shutil.rmtree(model_output_dir)
+        os.makedirs(model_output_dir)
+        clear_env()
+
+      if FLAGS.mode == "build" or FLAGS.mode == "run" or FLAGS.mode == "validate" or FLAGS.mode == "all":
+        generate_random_input(model_output_dir)
+
+      if FLAGS.mode == "build" or FLAGS.mode == "all":
+        generate_model_code()
+        build_mace_run_prod(model_output_dir, FLAGS.tuning, libmace_name)
+
+      if FLAGS.mode == "run" or FLAGS.mode == "validate" or FLAGS.mode == "all":
+        run_model(model_output_dir, FLAGS.round)
+
+      if FLAGS.mode == "benchmark":
+        benchmark_model(model_output_dir)
+
+      if FLAGS.mode == "validate" or FLAGS.mode == "all":
+        validate_model(model_output_dir)
+
+    if FLAGS.mode == "build" or FLAGS.mode == "merge" or FLAGS.mode == "all":
+      merge_libs_and_tuning_results(FLAGS.output_dir + "/" + target_abi,
+                                    model_output_dirs)
 
 
 if __name__ == "__main__":