class_docstr: Transformer encoder model.
      
class_docstr_tok: ["Transformer","encoder","model","."]
docstr: See megatron.model.transformer.set_input_tensor()
docstr_tok: ["See","megatron.model.transformer.set_input_tensor","(",")"]
code: def set_input_tensor(self, input_tensor):
      """See megatron.model.transformer.set_input_tensor()"""
      # TODO: Fix this when adding support for Pipeline Parallel.
      pass
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/megatron_perceiver_encoders.py
imports: import torch
  from nemo.collections.nlp.modules.common.megatron.fused_layer_norm import get_layer_norm
  from nemo.collections.nlp.modules.common.megatron.layer_type import LayerType
  from nemo.collections.nlp.modules.common.megatron.module import MegatronModule
  from nemo.collections.nlp.modules.common.megatron.transformer import ParallelTransformer
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, attn_mask_postprocess, build_attention_mask_3d
label_desc: Use image node_id 4 for calling the MegatronPerceiverEncoderModule obj's underlying member method code with example usage: obj.set_input_tensor(input_tensor) without return types