style(statistics): reorder elements in statistics.html

Author: FerTV

nebula/addons/reporter.py

@@ -326,19 +326,19 @@ async def __report_resources(self):
         current_connections = await self.cm.get_addrs_current_connections(only_direct=True)
 
         resources = {
-            "CPU/CPU global (%)": cpu_percent,
-            "CPU/CPU process (%)": cpu_percent_process,
-            "CPU/CPU temperature (°)": cpu_temp,
-            "RAM/RAM global (%)": memory_percent,
-            "RAM/RAM global (MB)": memory_used,
-            "RAM/RAM process (%)": memory_percent_process,
-            "RAM/RAM process (MB)": memory_process,
-            "Disk/Disk (%)": disk_percent,
-            "Network/Network (bytes sent)": round(self.acc_bytes_sent / (1024**2), 3),
-            "Network/Network (bytes received)": round(self.acc_bytes_recv / (1024**2), 3),
-            "Network/Network (packets sent)": self.acc_packets_sent,
-            "Network/Network (packets received)": self.acc_packets_recv,
-            "Network/Connections": len(current_connections),
+            "WCPU/CPU global (%)": cpu_percent,
+            "WCPU/CPU process (%)": cpu_percent_process,
+            "WCPU/CPU temperature (°)": cpu_temp,
+            "ZRAM/RAM global (%)": memory_percent,
+            "ZRAM/RAM global (MB)": memory_used,
+            "ZRAM/RAM process (%)": memory_percent_process,
+            "ZRAM/RAM process (MB)": memory_process,
+            "YDisk/Disk (%)": disk_percent,
+            "XNetwork/Network (bytes sent)": round(self.acc_bytes_sent / (1024**2), 3),
+            "XNetwork/Network (bytes received)": round(self.acc_bytes_recv / (1024**2), 3),
+            "XNetwork/Network (packets sent)": self.acc_packets_sent,
+            "XNetwork/Network (packets received)": self.acc_packets_recv,
+            "XNetwork/Connections": len(current_connections),
         }
         self.trainer.logger.log_data(resources)
 
@@ -365,13 +365,13 @@ async def __report_resources(self):
                     )
                     gpu_fan_speed = await asyncio.to_thread(pynvml.nvmlDeviceGetFanSpeed, handle)
                     gpu_info = {
-                        f"GPU/GPU{i} (%)": gpu_percent,
-                        f"GPU/GPU{i} temperature (°)": gpu_temp,
-                        f"GPU/GPU{i} memory (%)": gpu_mem_percent,
-                        f"GPU/GPU{i} power": gpu_power,
-                        f"GPU/GPU{i} clocks": gpu_clocks,
-                        f"GPU/GPU{i} memory clocks": gpu_memory_clocks,
-                        f"GPU/GPU{i} fan speed": gpu_fan_speed,
+                        f"WGPU/GPU{i} (%)": gpu_percent,
+                        f"WGPU/GPU{i} temperature (°)": gpu_temp,
+                        f"WGPU/GPU{i} memory (%)": gpu_mem_percent,
+                        f"WGPU/GPU{i} power": gpu_power,
+                        f"WGPU/GPU{i} clocks": gpu_clocks,
+                        f"WGPU/GPU{i} memory clocks": gpu_memory_clocks,
+                        f"WGPU/GPU{i} fan speed": gpu_fan_speed,
                     }
                     self.trainer.logger.log_data(gpu_info)
             except Exception:  # noqa: S110

nebula/core/training/lightning.py

@@ -353,7 +353,7 @@ def get_model_weight(self):
 
     def on_round_start(self):
         self.data.setup()
-        self._logger.log_data({"Round": self.round})
+        self._logger.log_data({"1Round": self.round})
         # self.reporter.enqueue_data("Round", self.round)
 
     def on_round_end(self):
@@ -365,5 +365,5 @@ def on_round_end(self):
         self.cleanup()
 
     def on_learning_cycle_end(self):
-        self._logger.log_data({"Round": self.round})
+        self._logger.log_data({"1Round": self.round})
         # self.reporter.enqueue_data("Round", self.round)