class_docstr: Riva NLP Services implement task-specific APIs for popular NLP tasks including
  intent recognition (as well as slot filling), and entity extraction.
class_docstr_tok: ["Riva","NLP","Services","implement","task-specific","APIs","for","popular","NLP","tasks","including","intent","recognition","(","as","well","as","slot","filling",")",",","and","entity","extraction","."]
docstr: Constructor.
  
  Args:
      channel: A grpc.Channel.
docstr_tok: ["Constructor",".","Args",":","channel",":","A","grpc.Channel","."]
code: def __init__(self, channel):
      """Constructor.
  
      Args:
          channel: A grpc.Channel.
      """
      self.TranslateText = channel.unary_unary(
          "/nvidia.riva.nmt.RivaTranslate/TranslateText",
          request_serializer=nmt__pb2.TranslateTextRequest.SerializeToString,
          response_deserializer=nmt__pb2.TranslateTextResponse.FromString,
      )
  
file_path: NeMo/tools/nmt_grpc_service/api/nmt_pb2_grpc.py
imports: import grpc
  from .None import nmt_pb2
label_desc: Use image node_id 1 to create a new RivaTranslateStub object from inherited base classes: object with example: obj = RivaTranslateStub(channel)