code: def forward(self, input, offset):
      return self.embedding(input, offset)
  
file_path: pytorch/benchmarks/operator_benchmark/pt/qatembedding_ops_test.py
imports: import numpy
  import torch
  import torch.ao.nn.qat
  from pt import configs
  from torch.ao.quantization import default_embedding_qat_qconfig
  import operator_benchmark
label_desc: Use image node_id 2 for calling the QATEmbeddingBagBenchmark obj's underlying member method code with example usage: obj.forward(input, offset) and returns: self