code: def initialize_embeddings(shape: Tuple[int]) -> torch.Tensor:
      assert (
          len(shape) == 2
      ), "Can only initialize 2-D embedding matrices ..."
      # Kaiming initialization
      return torch.randn(shape) * np.sqrt(2 / shape[1])
  
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 for calling a global function with example usage: initialize_embeddings(shape) and returns: unknown