code: def forward(self, input):
      return F.embedding(input, self.weight)
  
imports: import torch
  from deepspeed import comm
  from torch import nn
  from torch.nn import functional
  from torch.nn.parameter import Parameter
  from deepspeed.accelerator import get_accelerator
  from deepspeed.module_inject.tp_shard import get_shard_size, get_shard_size_list
label_desc: Use image node_id 2 for calling the EmbeddingLayer obj's underlying member method code with example usage: obj.forward(input) and returns: F