swin改ppyoloe：Variable dtype not match, Variable [ auto_16_ ] need tensor with dtype paddle.int64 but load tensor with dtype paddle.float32

### 问题确认 Search before asking

- [x] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues)，没有发现相似的bug。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issues) and found no similar bug report.

### Bug组件 Bug Component

Training、Validation

### Bug描述 Describe the Bug

<class 'dict'>
Traceback (most recent call last):
  File "tools/train.py", line 172, in <module>
    main()
  File "tools/train.py", line 168, in main
    run(FLAGS, cfg)
  File "tools/train.py", line 132, in run
    trainer.train(FLAGS.eval)
  File "/home/aistudio/work/PaddleDetection/ppdet/engine/trainer.py", line 537, in train
    self.model.set_dict(self.ema.apply())
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 486, in wrapper
    return func(*args, **kwargs)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py", line 1496, in set_state_dict
    param.set_value(state)
  File "<decorator-gen-132>", line 2, in set_value
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
    return wrapped_func(*args, **kwargs)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 434, in __impl__
    return func(*args, **kwargs)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/varbase_patch_methods.py", line 188, in set_value
    self.name, self.dtype, dtype)
AssertionError: Variable dtype not match, Variable [ auto_16_ ] need tensor with dtype paddle.int64  but load tensor with dtype paddle.float32

### 复现环境 Environment

paddlepaddle：2.5.2
paddledetection：release/2.6
python：3.10.10
cuda：11.3
cudnn：8.4

### Bug描述确认 Bug description confirmation

- [x] 我确认已经提供了Bug复现步骤、代码改动说明、以及环境信息，确认问题是可以复现的。I confirm that the bug replication steps, code change instructions, and environment information have been provided, and the problem can be reproduced.

### 是否愿意提交PR？ Are you willing to submit a PR?

- [x] 我愿意提交PR！I'd like to help by submitting a PR!

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