pprint debugging

Author: otaj

src/pytorch_lightning/strategies/ipu.py

@@ -236,11 +236,11 @@ def _convert_to_poptorch_loader(
         opts = self.training_opts if mode == RunningStage.TRAINING else self.inference_opts
         from pprint import pprint
 
-        pprint(opts)
+        pprint(repr(opts))
         pprint(dl_args)
         pprint(dl_kwargs)
         dataloader = poptorch.DataLoader(opts, *dl_args, **dl_kwargs)
-        pprint(dataloader)
+        pprint(repr(dataloader))
         return dataloader
 
     def _handle_gradient_accumulation_steps(self) -> None: