[Enhancement] an enhancement about the error message of mindspore.ops.permute

[Redmept1on]

Background

The error message should be more explicit when the axis parameter of mindspore.ops.permute has the same dimension.

Introduction

Maybe follow pytorch

mindspore

import mindspore as mind
import numpy as np

a = mind.tensor(np.array([[1, 2, 3], [float('nan'), 5, 6]]),dtype=mind.float32)
max1 = mind.ops.permute(a,(0, 0))
print(max1)

pytorch

import torch
import numpy as np

a = torch.tensor(np.array([[1, 2, 3], [float('nan'), 5, 6]]),dtype=torch.float32)
max1 = torch.permute(a,(0, 0))
print(max1)

[1071034024]

Thanks for your suggestion, we will fix it in the next version