[Bug] mindspore.ops.amax/amin perform differently between cpu and gpu when axis=1

[Redmept1on]

Environment

Hardware Environment(Ascend/GPU/CPU):

/device gpu
/device cpu

Software Environment:

• MindSpore version (source or binary): 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

Describe the current behavior

mindspore.ops.amax/min perform differently between cpu and gpu when axis=1

Describe the expected behavior

get the same result

Steps to reproduce the issue

amax

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.amax(x1,axis=1)
print(y1)

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

amin

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.amin(x1,axis=1)
print(y1)

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