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

mindspore.ops.softmax perform differently between cpu and gpu.

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/CPU

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) : 2.2.13
  -- Python version (e.g., Python 3.7.5) : 3.8.10
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 22.04
  -- GCC/Compiler version (if compiled from source): 7.5.0

• 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 pynative
/mode graph

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

from mindspore import set_context
import mindspore.ops as ops
import mindspore as mind
import numpy as np

set_context(device_target="CPU")
x1 = mind.tensor(np.array([[float('inf'), 0, -1, float('nan'), 5]], dtype=np.float32))
y1 = ops.softmax(x1)
print(y1)

set_context(device_target="GPU")
x2 = mind.tensor(np.array([[float('inf'), 0, -1, float('nan'), 5]], dtype=np.float32))
y2 = ops.softmax(x2)
print(y2)

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

return the same result