update

Author: Borda

src/lightning/pytorch/callbacks/device_stats_monitor.py

@@ -34,21 +34,20 @@ class DeviceStatsMonitor(Callback):
     r"""Automatically monitors and logs device stats during training, validation and testing stage.
     ``DeviceStatsMonitor`` is a special callback as it requires a ``logger`` to passed as argument to the ``Trainer``.
 
-    Logged Metrics:
-        Device statistics are logged with keys prefixed as
-        ``DeviceStatsMonitor.{hook_name}/{base_metric_name}`` (e.g.,
-        ``DeviceStatsMonitor.on_train_batch_start/cpu_percent``).
-            The source of these metrics depends on the ``cpu_stats`` flag
-            and the active accelerator.
+    Device statistics are logged with keys prefixed as ``DeviceStatsMonitor.{hook_name}/{base_metric_name}`` (e.g.,
+    ``DeviceStatsMonitor.on_train_batch_start/cpu_percent``).
+    The source of these metrics depends on the ``cpu_stats`` flag and the active accelerator.
 
         CPU (via ``psutil``): Logs ``cpu_percent``, ``cpu_vm_percent``, ``cpu_swap_percent``.
         All are percentages (%).
         CUDA GPU (via :func:`torch.cuda.memory_stats`): Logs detailed memory statistics from
         PyTorch's allocator (e.g., ``allocated_bytes.all.current``, ``num_ooms``; all in Bytes).
         GPU compute utilization is not logged by default.
-        Other Accelerators (e.g., TPU, MPS): Logs device-specific stats.
+        Other Accelerators (e.g., TPU, MPS): Logs device-specific stats:
+
         - TPU example: ``avg. free memory (MB)``.
         - MPS example: ``mps.current_allocated_bytes``.
+
         Observe logs or check accelerator documentation for details.
 
     Args: