class_docstr: Basic wrapper around several `DataLoader`s with factory methods for tabular data
docstr: Create test `TabDataLoader` from `test_items` using validation `procs`
code: def test_dl(
      self,
      test_items,  # Items to create new test `TabDataLoader` formatted the same as the training data
      rm_type_tfms=None,  # Number of `Transform`s to be removed from `procs`
      process: bool = True,  # Apply validation `TabularProc`s to `test_items` immediately
      inplace: bool = False,  # Keep separate copy of original `test_items` in memory if `False`
      **kwargs,
  ):
      "Create test `TabDataLoader` from `test_items` using validation `procs`"
      to = self.train_ds.new(test_items, inplace=inplace)
      if process:
          to.process()
      return self.valid.new(to, **kwargs)
  
file_path: fastai/fastai/tabular/data.py
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 3 for calling the TabularDataLoaders obj's underlying member method code with example usage: obj.test_dl(test_items, rm_type_tfms, process, inplace) and returns: self