[CUDA] CUDNN error(2000), CUDNN_STATUS_BAD_PARAM.

[jwnhy]

bug描述 Describe the Bug

import paddle as pdl

model = pdl.nn.Conv2DTranspose(26, 1, kernel_size=[25, 25], padding=[25, 3])
tensor = pdl.rand([1, 26, 26, 26])

model(tensor)

### 其他补充信息 Additional Supplementary Information

W0218 16:06:02.025692 1692211 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 9.0, Driver API Version: 12.8, Runtime API Version: 12.3
W0218 16:06:02.026126 1692211 gpu_resources.cc:164] device: 0, cuDNN Version: 9.7.
Traceback (most recent call last):
  File "/home/jwnhy/gpu_fuzz/poc/poc12.py", line 6, in <module>
    model(tensor)
  File "/opt/ext/jwnhy/miniconda3/envs/pdl300/lib/python3.12/site-packages/paddle/nn/layer/layers.py", line 1426, in __call__
    return self.forward(*inputs, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ext/jwnhy/miniconda3/envs/pdl300/lib/python3.12/site-packages/paddle/nn/layer/conv.py", line 883, in forward
    out = F.conv2d_transpose(
          ^^^^^^^^^^^^^^^^^^^
  File "/opt/ext/jwnhy/miniconda3/envs/pdl300/lib/python3.12/site-packages/paddle/nn/functional/conv.py", line 1262, in conv2d_transpose
    pre_bias = op(
               ^^^
OSError: (External) CUDNN error(2000), CUDNN_STATUS_BAD_PARAM.
  [Hint: Please search for the error code(2000) on website (https://docs.nvidia.com/deeplearning/cudnn/api/index.html#cudnnStatus_t) to get Nvidia's official solution and advice about CUDNN Error.] (at ../paddle/phi/backends/gpu/cuda/cudnn_desc.h:145)

[LiYuRio]

看上去是padding参数的值设置的不合法