class_docstr: Lightweight predictor for Triton in LOCAL_CONTAINER modes
class_docstr_tok: ["Lightweight","predictor","for","Triton","in","LOCAL_CONTAINER","modes"]
docstr: Triton expects request and response payload to be numpy
docstr_tok: ["Triton","expects","request","and","response","payload","to","be","numpy"]
code: def content_type(self):
      """Triton expects request and response payload to be numpy"""
      return APPLICATION_X_NPY
  
imports: from __future__ import absolute_import
  import io
  from typing import Type
  from sagemaker import Session
  from sagemaker.serve.mode.local_container_mode import LocalContainerMode
  from sagemaker.serve.builder.schema_builder import SchemaBuilder
  from sagemaker.serializers import IdentitySerializer, JSONSerializer
  from sagemaker.deserializers import BytesDeserializer, JSONDeserializer
  from sagemaker.base_predictor import PredictorBase, Predictor
  from sagemaker.serve.utils.types import ModelServer
  from sagemaker.serve.model_server.triton.triton_builder import TritonSerializer
label_desc: Use image node_id 3 for calling the TritonLocalPredictor obj's underlying member method code with example usage: obj.content_type() and returns: APPLICATION_X_NPY