使用paddle版本为paddle-gpu2.2.2
paddlex版本为1.3.11
cuda版本为11.2
cudnn版本为11.2
现存在以下问题，在我还没有安装cuda的时候尝试过使用cpu训练模型，运行成功并且成功导出模型。此时使用的是paddle不是gpu版本。
此后我安装了paddle的gpu版本以及cuda和cudnn但是再次训练的时候出现了报错。我尝试了如下几种解决办法均出现同样的报错信息
第1种解决办法：换paddle的cpu版本继续运行，未解决。
第2种解决办法：拆卸cuda，未解决。
第3种解决办法：重装整个python环境，未解决。
以上是我的所以解决方案，均未解决报错，并且报错信息均为一样，在aistudio上又能导出模型。
报错代码如下，均为完成一个epoch之后导出模型时出现
0%| | 0/3426 [00:00<?, ?it/s]
Traceback (most recent call last):
File "F:/python/first python/VOC_YOLO_RseNeXt.py", line 40, in
model.train(
File "F:\python\lib\site-packages\paddlex\cv\models\yolo_v3.py", line 168, in train
return super(YOLOv3, self).train(
File "F:\python\lib\site-packages\paddlex\cv\models\ppyolo.py", line 356, in train
self.train_loop(
File "F:\python\lib\site-packages\paddlex\cv\models\base.py", line 577, in train_loop
self.eval_metrics, self.eval_details = self.evaluate(
File "F:\python\lib\site-packages\paddlex\cv\models\ppyolo.py", line 427, in evaluate
outputs = self.exe.run(
File "F:\python\lib\site-packages\paddle\fluid\executor.py", line 1262, in run
six.reraise(*sys.exc_info())
File "F:\python\lib\site-packages\six.py", line 703, in reraise
raise value
File "F:\python\lib\site-packages\paddle\fluid\executor.py", line 1250, in run
return self._run_impl(
File "F:\python\lib\site-packages\paddle\fluid\executor.py", line 1394, in _run_impl
return self._run_program(
File "F:\python\lib\site-packages\paddle\fluid\executor.py", line 1491, in _run_program
self._default_executor.run(program.desc, scope, 0, True, True,
ValueError: In user code:

File "F:/python/first python/VOC_YOLO_RseNeXt.py", line 40, in <module>
  model.train(
File "F:\python\lib\site-packages\paddlex\cv\models\yolo_v3.py", line 168, in train
  return super(YOLOv3, self).train(
File "F:\python\lib\site-packages\paddlex\cv\models\ppyolo.py", line 346, in train
  self.build_program()
File "F:\python\lib\site-packages\paddlex\cv\models\base.py", line 113, in build_program
  self.test_inputs, self.test_outputs = self.build_net(
File "F:\python\lib\site-packages\paddlex\cv\models\ppyolo.py", line 175, in build_net
  model_out = model.build_net(inputs)
File "F:\python\lib\site-packages\paddlex\cv\nets\detection\yolo_v3.py", line 512, in build_net
  head_outputs = self._head(feats, self.mode == 'train')
File "F:\python\lib\site-packages\paddlex\cv\nets\detection\yolo_v3.py", line 141, in _head
  block = fluid.layers.concat(input=[route, block], axis=1)
File "F:\python\lib\site-packages\paddle\fluid\layers\tensor.py", line 375, in concat
  helper.append_op(
File "F:\python\lib\site-packages\paddle\fluid\layer_helper.py", line 43, in append_op
  return self.main_program.current_block().append_op(*args, **kwargs)
File "F:\python\lib\site-packages\paddle\fluid\framework.py", line 3178, in append_op
  op = Operator(
File "F:\python\lib\site-packages\paddle\fluid\framework.py", line 2224, in __init__
  for frame in traceback.extract_stack():

InvalidArgumentError: The 2-th dimension of input[0] and input[1] is expected to be equal.But received input[0]'s shape = [1, 256, 20, 20], input[1]'s shape = [1, 256, 19, 19].
  [Hint: Expected inputs_dims[0][j] == inputs_dims[i][j], but received inputs_dims[0][j]:20 != inputs_dims[i][j]:19.] (at ..\paddle/fluid/operators/concat_op.h:63)
  [operator < concat > error]