code: def positionalencoding2d(d_model, height, width):
      """
      :param d_model: dimension of the model
      :param height: height of the positions
      :param width: width of the positions
      :return: d_model*height*width position matrix
      """
      if d_model % 4 != 0:
          raise ValueError(
              "Cannot use sin/cos positional encoding with "
              "odd dimension (got dim={:d})".format(d_model)
          )
      pe = paddle.zeros([d_model, height, width])
      # Each dimension use half of d_model
      d_model = int(d_model / 2)
      div_term = paddle.exp(
          paddle.arange(0.0, d_model, 2, dtype="int64")
          * -(math.log(10000.0) / d_model)
      )
      pos_w = paddle.arange(0.0, width, dtype="float32").unsqueeze(1)
      pos_h = paddle.arange(0.0, height, dtype="float32").unsqueeze(1)
  
      pe[0:d_model:2, :, :] = (
          paddle.sin(pos_w * div_term)
          .transpose([1, 0])
          .unsqueeze(1)
          .tile([1, height, 1])
      )
      pe[1:d_model:2, :, :] = (
          paddle.cos(pos_w * div_term)
          .transpose([1, 0])
          .unsqueeze(1)
          .tile([1, height, 1])
      )
      pe[d_model::2, :, :] = (
          paddle.sin(pos_h * div_term)
          .transpose([1, 0])
          .unsqueeze(2)
          .tile([1, 1, width])
      )
      pe[d_model + 1 :: 2, :, :] = (
          paddle.cos(pos_h * div_term)
          .transpose([1, 0])
          .unsqueeze(2)
          .tile([1, 1, width])
      )
  
      return pe
  
imports: import math
  import warnings
  import numpy
  import paddle
  from paddle import nn
  import string
  from .tps_spatial_transformer import TPSSpatialTransformer
  from .stn import STN
  from .tsrn import GruBlock, mish, UpsampleBLock
  from ppocr.modeling.heads.sr_rensnet_transformer import Transformer, LayerNorm, PositionwiseFeedForward, MultiHeadedAttention
label_desc: Use image node_id 1 for calling a global function with example usage: positionalencoding2d(d_model, height, width) and returns: pe