code: def forward(self, x):
      # for use guide
      if self.use_guide:
          z = x.clone()
          z.stop_gradient = True
      else:
          z = x
      # for short cut
      h = z
      # reduce dim
      z = self.conv1(z)
      z = self.conv2(z)
      # SVTR global block
      B, C, H, W = z.shape
      z = z.flatten(2).transpose([0, 2, 1])
      for blk in self.svtr_block:
          z = blk(z)
      z = self.norm(z)
      # last stage
      z = z.reshape([0, H, W, C]).transpose([0, 3, 1, 2])
      z = self.conv3(z)
      z = paddle.concat((h, z), axis=1)
      z = self.conv1x1(self.conv4(z))
      return z
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  from ppocr.modeling.heads.rec_ctc_head import get_para_bias_attr
  from ppocr.modeling.backbones.rec_svtrnet import Block, ConvBNLayer, trunc_normal_, zeros_, ones_
label_desc: Use image node_id 3 for calling the EncoderWithSVTR obj's underlying member method code with example usage: obj.forward(x) and returns: z