Spellings

torchx/schedulers/api.py

@@ -97,7 +97,7 @@ def __hash__(self) -> int:
 class Scheduler(abc.ABC, Generic[T]):
     """
     An interface abstracting functionalities of a scheduler.
-    Implementors need only implement those methods annotated with
+    Implementers need only implement those methods annotated with
     ``@abc.abstractmethod``.
     """
 
@@ -148,7 +148,7 @@ def submit(
     def schedule(self, dryrun_info: AppDryRunInfo) -> str:
         """
         Same as ``submit`` except that it takes an ``AppDryRunInfo``.
-        Implementors are encouraged to implement this method rather than
+        Implementers are encouraged to implement this method rather than
         directly implementing ``submit`` since ``submit`` can be trivially
         implemented by:
 

torchx/schedulers/local_scheduler.py

@@ -99,7 +99,7 @@ class ReplicaParam:
 
 class ImageProvider(abc.ABC):
     """
-    Manages downloading and setting up an on localhost. This is only needed for
+    Manages downloading and setting up an image on localhost. This is only needed for
     ``LocalhostScheduler`` since typically real schedulers will do this
     on-behalf of the user.
     """
@@ -766,7 +766,7 @@ def _submit_dryrun(
     def _cuda_device_count(self) -> int:
         # this method deliberately does not use ``torch.cuda.device_count()``
         # to avoid taking a dependency on pytorch
-        # this make sit possible to avoid a BUCK dependency (internally at Meta)
+        # this makes it possible to avoid a BUCK dependency (internally at Meta)
         # on //caffe2:torch which slows down builds of //torchx:* rules
         gpu_cmd = "nvidia-smi -L"
         try:
@@ -832,7 +832,7 @@ def auto_set_CUDA_VISIBLE_DEVICES(
                     """\n
 ======================================================================
 Running multiple role replicas that require GPUs without
-setting `CUDA_VISIBLE_DEVICES` may result in multiple 
+setting `CUDA_VISIBLE_DEVICES` may result in multiple
 processes using the same GPU device with undesired consequences
 such as CUDA OutOfMemory errors.
 

torchx/specs/api.py

@@ -366,7 +366,7 @@ class AppDef:
     Args:
         name: Name of application
         roles: List of roles
-        metadata: metadata to the app (treament of metadata is scheduler dependent)
+        metadata: metadata to the app (treatment of metadata is scheduler dependent)
     """
 
     name: str