【PIR API adaptor No.294】Migrate RandomAffine to pir

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Description

• 新IR Python API适配升级 #58067

尝试在PIR下适配class RandomAffine，但是发现其_apply_image函数中所调用的F.affine无法在静态图下正常组网，也就是说该API无法在静态图下使用，下面的demo可以体现老静态图下的问题：

import paddle
import re
import numpy as np
from PIL import Image

from paddle import base
import paddle.vision.transforms.functional as F

paddle.enable_static()

np_img = (np.random.rand(32, 26, 3) * 255).astype('float32')
tensor_img = F.to_tensor(np_img, data_format='CHW') * 255
tensor_affined_img = F.affine(tensor_img, 45, translate=[0.2, 0.2], scale=0.5, shear=[-10, 10])

具体问题在于静态图的place调用

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