code: def _get_dataloader(input_data: DataManager):
      bs = input_data[0][0][0].shape[0]
      ds = PytorchDataset(input_data, has_labels=True)
      dl = DataLoader(ds, bs)
      return dl
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/optimizations/compilers/quantizations/intel_neural_compressor.py
imports: from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import Any
  import yaml
  from nebullvm.core.models import QuantizationType
  from nebullvm.optional_modules.neural_compressor import MixedPrecision, Quantization
  from nebullvm.optional_modules.torch import DataLoader, Module, GraphModule
  from nebullvm.tools.data import DataManager, PytorchDataset
  from nebullvm.tools.transformations import MultiStageTransformation, HalfPrecisionTransformation
label_desc: Use image node_id 3 for calling a global function with example usage: _get_dataloader(input_data) and returns: dl