class_docstr: A class for Triton Python Backend
docstr: Placeholder docstring
docstr_tok: ["Placeholder","docstring"]
code: def execute(self, requests):
      """Placeholder docstring"""
      responses = []
  
      for request in requests:
          input_ndarray = pb_utils.get_input_tensor_by_name(
              request, "input_1"
          ).as_numpy()
          converted_input = (
              self.schema_builder.input_deserializer.deserialize(
                  input_ndarray
              )
          )
          output = self.inference_spec.invoke(
              input_object=converted_input, model=self.model
          )
          output_ndarray = (
              self.schema_builder.output_serializer.serialize(output)
          )
          response = pb_utils.InferenceResponse(
              output_tensors=[
                  pb_utils.Tensor("output_1", output_ndarray)
              ]
          )
          responses.append(response)
  
      return responses
  
file_path: sagemaker-python-sdk/src/sagemaker/serve/model_server/triton/model.py
imports: from __future__ import absolute_import
  import os
  import logging
  import ssl
  from pathlib import Path
  import platform
  import triton_python_backend_utils
  import cloudpickle
  from sagemaker.serve.validations.check_integrity import perform_integrity_check
label_desc: Use image node_id 3 for calling the TritonPythonModel obj's underlying member method code with example usage: obj.execute(requests) and returns: responses