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

模型仓地址：https://gitee.com/mindspore/models/tree/master/official/recommend/Wide_and_Deep_Multitable

Wide_and_Deep_Multitable网络在910上1p训练推理精度劣化，auc精度[73.93]达不到74.6，Map精度[64.43]达不到65.7

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 ascend

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :
  -- 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):
  问题版本：
  run包：HISI_C30/20230817
  mindspore：master_20230825160800_21a3f6e3

ok版本：
run包：HISI_C30/20230817
mindspore：master_20230819182346_9f3ee1b5

• 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)

用例仓地址：solution_test/cases/02network/06recommend/wide_deep_multitable/train
用例:
test_ms_wide_deep_multitable_outbrain_train_infer_910_1p_0001.py

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

1.get code from models
2.cd models/official/recommend/Wide_and_Deep_Multitable
3.python train_and_eval.py --epochs=3 --data_path=./outbrain
4.验证网络推理auc精度能达到74.6，Map精度能达到65.7

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

网络训练成功，推理auc精度能达到74.6，Map精度能达到65.7

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

不涉及

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

走给黄信静