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Docs: Update for global_ordinal() and world_size() #1

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Docs: Update for global_ordinal() and world_size() #1

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4 changes: 2 additions & 2 deletions docs/source-pytorch/accelerators/tpu_intermediate.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ for TPU use

.. code-block:: python

import torch_xla.core.xla_model as xm
from torch_xla import runtime as xr


def train_dataloader(self):
Expand All @@ -32,7 +32,7 @@ for TPU use
sampler = None
if use_tpu:
sampler = torch.utils.data.distributed.DistributedSampler(
dataset, num_replicas=xm.xrt_world_size(), rank=xm.get_ordinal(), shuffle=True
dataset, num_replicas=xr.world_size(), rank=xr.global_ordinal(), shuffle=True
)

loader = DataLoader(dataset, sampler=sampler, batch_size=32)
Expand Down