code: def forward(self, x: paddle.Tensor):
      x = self.conv1(x)
      x = x.flatten(2).transpose((0, 2, 1))
  
      x = paddle.concat(
          [
              self.class_embedding.astype(x.dtype)
              + paddle.zeros(
                  shape=[x.shape[0], 1, x.shape[-1]], dtype=x.dtype
              ),
              x,
          ],
          axis=1,
      )
  
      x = x + self.positional_embedding.astype(x.dtype)
      x = self.ln_pre(x)
      x = x.transpose(perm=[1, 0, 2])
      x = self.transformer(x)
      x = x.transpose(perm=[1, 0, 2])
      x = self.ln_post(x[:, 0, :])
  
      if self.proj is not None:
          x = x @ self.proj
      return x
  
imports: from collections import OrderedDict
  from typing import Tuple, Union
  import numpy
  import paddle
  from paddle.nn.initializer import Constant
  from paddle.vision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
label_desc: Use image node_id 2 for calling the VisionTransformer obj's underlying member method code with example usage: obj.forward(x) and returns: x