maskrcnn support 16p

model_zoo/official/cv/maskrcnn/train.py

@@ -29,6 +29,7 @@ from mindspore.context import ParallelMode
 from mindspore.train.serialization import load_checkpoint, load_param_into_net
 from mindspore.nn import Momentum
 from mindspore.common import set_seed
+from mindspore.communication.management import get_rank, get_group_size
 
 from src.maskrcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
 from src.network_define import LossCallBack, WithLossCell, TrainOneStepCell, LossNet
@@ -56,11 +57,11 @@ context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=a
 if __name__ == '__main__':
     print("Start train for maskrcnn!")
     if not args_opt.do_eval and args_opt.run_distribute:
-        rank = args_opt.rank_id
-        device_num = args_opt.device_num
+        init()
+        rank = get_rank()
+        device_num = get_group_size()
         context.set_auto_parallel_context(device_num=device_num, parallel_mode=ParallelMode.DATA_PARALLEL,
                                           gradients_mean=True)
-        init()
     else:
         rank = 0
         device_num = 1