truncated_gaussian_random supported in distributed training, test=develop (#17091)

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -1017,7 +1017,8 @@ class DistributeTranspiler(object):
                 new_inputs = self._get_input_map_from_op(pserver_vars, op)
 
                 if op.type in [
-                        "gaussian_random", "fill_constant", "uniform_random"
+                        "gaussian_random", "fill_constant", "uniform_random",
+                        "truncated_gaussian_random"
                 ]:
                     op._set_attr("shape", list(new_outputs["Out"].shape))
                 s_prog.global_block().append_op(