docstr: x is a 5D tensor
code: def forward(self, x):
      """
      x is a 5D tensor
      """
      patch_embeddings = self.patch_embeddings(x)
      shape = patch_embeddings.shape
      _d = paddle.reshape(patch_embeddings, [shape[0], shape[1], -1])
      _d = paddle.transpose(_d, perm=[0, 2, 1])
      embeddings = self.dropout(self.position_embeddings(_d))
      return embeddings
  
imports: from typing import List, Tuple
  import numpy
  import paddle
  import paddle.nn
  from paddle import Tensor
  from medicalseg.cvlibs import manager
label_desc: Use image node_id 2 for calling the Embeddings3D obj's underlying member method code with example usage: obj.forward(x) and returns: embeddings