code: def test_unet_predict_from_dl(camvid_ds, backbone, keep_images):
      _, valid_ds = camvid_ds
      infer_dl = models.fastai.unet.infer_dl(
          valid_ds, batch_size=1, shuffle=False
      )
      model = models.fastai.unet.model(
          num_classes=32,
          img_size=64,
          backbone=backbone(pretrained=True),
      )
      preds = models.fastai.unet.predict_from_dl(
          model, infer_dl, keep_images=keep_images
      )
      _test_preds(preds)
  
imports: import pytest
  from icevision.all import *
  from icevision.models.fastai.unet.backbones import *
label_desc: Use image node_id 3 for calling a global function with example usage: test_unet_predict_from_dl(camvid_ds, backbone, keep_images) without return types