Create dummy measurements.json file if not present (#216)

* create dummy measurements.json if file not present

* [Automated Commit] Format Codebase [skip ci]

* Update customize.py

Author: anandhu-eng

script/generate-mlperf-inference-submission/customize.py

@@ -553,9 +553,17 @@ def generate_submission(env, state, inp, submission_division):
                         shutil.copy(measurements_json_path, destination)
 
                     else:
-                        if mode.lower() == "performance":
-                            return {
-                                "return": 1, "error": f"measurements.json missing in both paths: {measurements_json_path} and {os.path.join(result_scenario_path, 'user.conf')}"}
+                        print(
+                            f"Warning: measurements.json file not present, creating a dummy measurements.json in path {measurements_json_path}")
+                        dummy_measurements_data = {
+                            "input_data_types": env['MLC_ML_MODEL_INPUTS_DATA_TYPE'] if env.get('MLC_ML_MODEL_INPUTS_DATA_TYPE') else "TBD",
+                            "retraining": env['MLC_ML_MODEL_RETRAINING'] if env.get('MLC_ML_MODEL_RETRAINING') else "TBD",
+                            "starting_weights_filename": env['MLC_ML_MODEL_STARTING_WEIGHTS_FILENAME'] if env.get('MLC_ML_MODEL_STARTING_WEIGHTS_FILENAME') else "TBD",
+                            "weight_data_types": env['MLC_ML_MODEL_WEIGHTS_DATA_TYPE'] if env.get('MLC_ML_MODEL_WEIGHTS_DATA_TYPE') else "TBD",
+                            "weight_transformations": env['MLC_ML_MODEL_WEIGHT_TRANSFORMATIONS'] if env.get('MLC_ML_MODEL_WEIGHT_TRANSFORMATIONS') else "TBD"
+                        }
+                        with open(measurements_json_path, 'w') as json_file:
+                            json.dump(data, json_file, indent=4)
 
                     files = []
                     readme = False