update error message

src/lightning_lite/accelerators/cuda.py

@@ -98,11 +98,11 @@ def find_usable_cuda_devices(num_devices: int = -1) -> List[int]:
     visible_devices = _get_all_visible_cuda_devices()
     if not visible_devices:
         raise ValueError(
-            f"You requested to find {num_devices} GPUs but there are no visible CUDA devices on this machine."
+            f"You requested to find {num_devices} devices but there are no visible CUDA devices on this machine."
         )
     if num_devices > len(visible_devices):
         raise ValueError(
-            f"You requested to find {num_devices} GPUs but this machine only has {len(visible_devices)} GPUs."
+            f"You requested to find {num_devices} devices but this machine only has {len(visible_devices)} GPUs."
         )
 
     available_devices = []
@@ -122,9 +122,8 @@ def find_usable_cuda_devices(num_devices: int = -1) -> List[int]:
 
     if len(available_devices) != num_devices:
         raise RuntimeError(
-            f"You requested to find {num_devices} GPUs but only {len(available_devices)} are currently available."
-            f" GPUs {unavailable_devices} are occupied by other processes and can't be"
-            " used at the moment."
+            f"You requested to find {num_devices} devices but only {len(available_devices)} are currently available."
+            f" The devices {unavailable_devices} are occupied by other processes and can't be used at the moment."
         )
     return available_devices
 

tests/tests_lite/accelerators/test_cuda.py

@@ -123,7 +123,7 @@ def test_find_usable_cuda_devices_error_handling():
 
     # Asking for GPUs if no GPUs visible
     with mock.patch("lightning_lite.accelerators.cuda.num_cuda_devices", return_value=0), pytest.raises(
-        ValueError, match="You requested to find 2 GPUs but there are no visible CUDA"
+        ValueError, match="You requested to find 2 devices but there are no visible CUDA"
     ):
         find_usable_cuda_devices(2)
 
@@ -137,5 +137,5 @@ def test_find_usable_cuda_devices_error_handling():
     tensor_mock = Mock(side_effect=RuntimeError)  # simulate device placement fails
     with mock.patch("lightning_lite.accelerators.cuda.num_cuda_devices", return_value=2), mock.patch(
         "lightning_lite.accelerators.cuda.torch.tensor", tensor_mock
-    ), pytest.raises(RuntimeError, match=escape("GPUs [0, 1] are occupied by other processes")):
+    ), pytest.raises(RuntimeError, match=escape("The devices [0, 1] are occupied by other processes")):
         find_usable_cuda_devices(2)