add protobuf env

mindspore/train/serialization.py

@@ -47,6 +47,16 @@ _ckpt_mutex = Lock()
 SLICE_SIZE = 512 * 1024 * 1024
 
 
+def _set_pb_env():
+    """Set env variable `PROTOCOL_BUFFERS` to prevent memory overflow."""
+    if os.getenv("PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION") == "cpp":
+        logger.warning("Current env variable `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp`,\
+            When the parameter is too large, it may cause memory limit error.")
+    else:
+        os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+        logger.debug("Set the `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python`.")
+
+
 def _special_process_par(par, new_par):
     """
     Processes the special condition.
@@ -785,3 +795,6 @@ def merge_sliced_parameter(sliced_parameters, strategy=None):
         merged_parameter = Parameter(merged_tensor, parameter_name, requires_grad, layerwise_parallel)
 
     return merged_parameter
+
+
+_set_pb_env()