Migrate to correct logger interface

torch_xla/distributed/xla_backend.py

@@ -46,7 +46,7 @@ def __init__(self, prefix_store, rank, size, timeout):
   def getBackendName(self):
     return 'xla'
 
-  # pytorch's process group is unable to retrive the group size from python level. It should
+  # pytorch's process group is unable to retrieve the group size from python level. It should
   # already been support in C++ level: https://github.com/pytorch/pytorch/blob/7b1988f9222f3dec5cc2012afce84218199748ae/torch/csrc/distributed/c10d/ProcessGroup.cpp#L148-L152
   # For now we manually set the group name property as a temporary solution.
   def _set_group_name(self, name: str) -> None:
@@ -391,7 +391,7 @@ def new_xla_process_group(ranks=None,
       else:
         pg._mesh = [ranks]
     else:
-      logging.warn(
+      logging.warning(
           f'Can\'t infer process group mesh from given ranks "{str(ranks)}". '
           'The process group will use the entire world as its collective comm group.'
       )

torchax/torchax/tensor.py

@@ -162,7 +162,7 @@ def jax_device(self):
 
   @property
   def data(self):
-    logger.warn("In-place to .data modifications still results a copy on TPU")
+    logger.warning("In-place to .data modifications still results a copy on TPU")
     return self
 
   @data.setter