code: def forward(self, x):
      if self.scale_embedding:
          x = self.embedding(x)
          return x * math.sqrt(self.d_model)
      return self.embedding(x)
  
imports: import math
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle.nn import LayerList
  from paddle.nn import Dropout, Linear, LayerNorm
  import numpy
  from ppocr.modeling.backbones.rec_svtrnet import Mlp, zeros_, ones_
  from paddle.nn.initializer import XavierNormal
label_desc: Use image node_id 2 for calling the Embeddings obj's underlying member method code with example usage: obj.forward(x) and returns: self, unknown