code: def __init__(self, embedding_dim: int):
      super().__init__()
      self.layers = nn.ModuleList(
          [
              nn.Linear(embedding_dim, embedding_dim),
              nn.LeakyReLU(0.3),
              nn.Linear(embedding_dim, embedding_dim),
              nn.LeakyReLU(0.3),
          ]
      )
  
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 1 to create a new EmbeddingProjBlock object from inherited base classes: nn with example: obj = EmbeddingProjBlock(embedding_dim)