code: def _is_torch_tensor(data: object) -> bool:
      """Placeholder docstring"""
      try:
          from torch import Tensor
  
          return isinstance(data, Tensor)
      except ModuleNotFoundError:
          return False
  
imports: from __future__ import absolute_import
  import io
  import logging
  from pathlib import Path
  import numpy
  from pandas import DataFrame
  from sagemaker.deserializers import BaseDeserializer, BytesDeserializer, NumpyDeserializer, JSONDeserializer, PandasDeserializer, TorchTensorDeserializer, StringDeserializer
  from sagemaker.serializers import DataSerializer, NumpySerializer, JSONSerializer, CSVSerializer, TorchTensorSerializer, StringSerializer
  from sagemaker.serve.marshalling.custom_payload_translator import CustomPayloadTranslator
  from sagemaker.serve.builder.triton_schema_builder import TritonSchemaBuilder
label_desc: Use image node_id 1 for calling a global function with example usage: _is_torch_tensor(data) and returns: isinstance, False