make 'load_directly_on_device' configurable (#9657) (#9674)

Signed-off-by: ashors1 <ashors@nvidia.com>
Co-authored-by: Anna Shors <71393111+ashors1@users.noreply.github.com>
Co-authored-by: Pablo Garay <palenq@gmail.com>
Co-authored-by: ashors1 <ashors@nvidia.com>

nemo/lightning/pytorch/strategies.py

@@ -111,6 +111,7 @@ def __init__(
         ckpt_parallel_save_within_dp=False,
         ckpt_parallel_load=False,
         ckpt_parallel_save_optim=True,
+        ckpt_load_directly_on_device=True,
         setup_optimizers: bool = True,
         init_model_parallel: bool = True,
         **kwargs,
@@ -147,6 +148,7 @@ def __init__(
         self.parallel_save_within_dp = ckpt_parallel_save_within_dp
         self.parallel_load = ckpt_parallel_load
         self.parallel_save_optim = ckpt_parallel_save_optim
+        self.load_directly_on_device = ckpt_load_directly_on_device
 
         self._ddp = ddp
         if ddp == "megatron":
@@ -582,6 +584,7 @@ def checkpoint_io(self) -> CheckpointIO:
                 parallel_save=self.parallel_save,
                 parallel_save_within_dp=self.parallel_save_within_dp,
                 parallel_load=self.parallel_load,
+                load_directly_on_device=self.load_directly_on_device,
             )
             if async_save:
                 self._checkpoint_io = AsyncFinalizableCheckpointIO(self._checkpoint_io)