Describe the current behavior / 问题描述 (Mandatory / 必填)

resnet101网络在GPU环境8p训练发生段错误

Environment / 环境信息 (Mandatory / 必填)

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device GPU

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :r1.8 B010 commit_id:42306df4
  -- Python version (e.g., Python 3.7.5) :
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04):
  -- GCC/Compiler version (if compiled from source):

• Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode graph

Related testcase / 关联用例 (Mandatory / 必填)

test_ms_resnet101_imagenet_train_check_loss_gpu_8p_0002.py

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

1. cd solution_test/cases/02network/00cv/resnet101/train
2. pytest -s test_ms_resnet101_imagenet_train_check_loss_gpu_8p_0002.py

Describe the expected behavior / 预期结果 (Mandatory / 必填)

网络8p训练成功

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

http://mindspore-nfs.csi.rnd.huawei.com/logs/log_info/202205/20220526/test_ms_resnet101_imagenet_train_check_loss_gpu_8p_0002.tar.gz

Special notes for this issue/备注 (Optional / 选填)

走给陈德仕