class_docstr: Learnable Positional embedding
code: def reset_parameters(self) -> None:
      nn.init.trunc_normal_(
          self.pos_embed, mean=0, std=self.embedding_dim**-0.5
      )
      if self.padding_idx is not None:
          with torch.no_grad():
              self.pos_embed[:, :, self.padding_idx, ...] = 0.0
  
imports: import math
  from typing import Optional
  import torch
  from torch import Tensor, nn
  from torch.nn import functional
  from cvnets.layers import BaseLayer
label_desc: Use image node_id 2 for calling the LearnablePositionalEmbedding obj's underlying member method code with example usage: obj.reset_parameters() without return types