Update device count API

Author: jonb377

examples/pytorch/language-modeling/run_clm.py

@@ -500,7 +500,7 @@ def main():
     import torch_xla.core.xla_model as xm
     import torch_xla.experimental.xla_sharding as xs
     import torch_xla.runtime as xr
-    num_devices = xr.global_device_count()
+    num_devices = xr.global_runtime_device_count()
     device_ids = torch.arange(num_devices)
     print('Using dtype', model_args.torch_dtype)
     model = model.to(xm.xla_device(), dtype=getattr(torch, model_args.torch_dtype))

src/transformers/trainer.py

@@ -1420,7 +1420,7 @@ def _xla_sharded_dataloader(self, dataloader):
             import torch_xla.experimental.xla_sharding as xs
             import torch_xla.runtime as xr
             import torch_xla.distributed.parallel_loader as pl
-            num_devices = xr.global_device_count()
+            num_devices = xr.global_runtime_device_count()
             device_ids = np.arange(num_devices)
 
             sharding_spec = None