class_docstr: Transformer encoder model.
      
code: def _allocate_memory(self, *shape, dtype):
      return torch.empty(
          *shape, dtype=dtype, device=torch.cuda.current_device()
      )
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange, repeat
  from nemo.collections.nlp.modules.common.megatron.module import MegatronModule
  from nemo.collections.nlp.modules.common.megatron.position_embedding import RotaryEmbedding
  from nemo.collections.nlp.modules.common.megatron.transformer import ParallelTransformer
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, build_attention_mask_3d
label_desc: Use image node_id 3 for calling the MegatronRetrievalTransformerEncoderModule obj's underlying member method code with example usage: obj._allocate_memory() and returns: torch