Blip2ForConditionalGeneration的generate方法调用了不兼容ascend910b的接口

[Alemax067]

Describe the bug/ 问题描述 (Mandatory / 必填)

Blip2ForConditionalGeneration的generate方法调用了不兼容ascend910b的接口，具体报错信息见最后截图：

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Ascend 910b

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) : 2.3.1和2.4.1都一样的问题
  -- Python version (e.g., Python 3.7.5) : 3.9
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04): Euler2（用的是启智的AscendD910B 32G, mindtorch0.3_mindspore2.3.0_torchnpu2.2.0_cann8.0镜像）
  -- GCC/Compiler version (if compiled from source): 7.3.0
  -- MindNLP : 0.4.1(源码编译安装)

• 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:
pynative

To Reproduce / 重现步骤 (Mandatory / 必填)
Steps to reproduce the behavior:

1. git clone https://openi.pcl.ac.cn/lvyufeng/mindnlp.git
2. 按照issue1902中提到的bug，先将对应文件中的repeat(batch_size, 1)改为tile((batch_size, 1))，然后从源码编译安装mindnlp : bash scripts/build_and_reinstall.sh
3. 下载Salesforce/blip2-opt-2.7b并移除processor_config.json文件（这里可能涉及另外的bug，不移除无法加载Blip2Processor）
4. pip install --upgrade tokenizers==0.21.0
5. pip install mindspore==2.3.1
6. pip uninstall soundfile mindformers -y
7. 运行如下代码即可看见报错：

from mindnlp.transformers import Blip2ForConditionalGeneration, Blip2Processor
import mindspore as ms
import mindspore.numpy as np

ms.set_context(device_target='Ascend', device_id=0, pynative_synchronize=True)
processor = Blip2Processor.from_pretrained(<path_to_blip2-opt-2.7b>)
model = Blip2ForConditionalGeneration.from_pretrained(<path_to_blip2-opt-2.7b>)

pixel_values = np.randn((16, 3, 224, 224))
generated_ids = model.generate(pixel_values)
print(generated_ids)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)

Expected behavior / 预期结果 (Mandatory / 必填)
预期正确产生generated_ids，但generated_ids = model.generate(pixel_values)报错

Screenshots/ 日志 / 截图 (Mandatory / 必填)

[Alemax067]

重现步骤3提到的“另外的bug”为#1905