code: def forward(self, idx: torch.Tensor) -> torch.Tensor:
      embeddings_zeroed = self.embeddings * self.padding_mult
      x = F.embedding(idx, embeddings_zeroed)
      return x
  
imports: import math
  from typing import Tuple
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from TTS.tts.layers.delightful_tts.conv_layers import ConvNorm
label_desc: Use image node_id 2 for calling the EmbeddingPadded obj's underlying member method code with example usage: obj.forward(idx) and returns: x