Merge pull request #480 from mathoudebine/feature/103-gpu-core-clock-metric

Author: mathoudebine

library/sensors/sensors.py

@@ -66,6 +66,11 @@ def fps() -> int:
     def fan_percent() -> float:
         pass
 
+    @staticmethod
+    @abstractmethod
+    def frequency() -> float:
+        pass
+
     @staticmethod
     @abstractmethod
     def is_available() -> bool:

library/sensors/sensors_librehardwaremonitor.py

@@ -323,13 +323,34 @@ def fan_percent(cls) -> float:
         try:
             for sensor in gpu_to_use.Sensors:
                 if sensor.SensorType == Hardware.SensorType.Control:
-                    return float(sensor.Value)
+                    if sensor.Value:
+                        return float(sensor.Value)
         except:
             pass
 
         # No Fan Speed sensor for this GPU model
         return math.nan
 
+    @classmethod
+    def frequency(cls) -> float:
+        gpu_to_use = cls.get_gpu_to_use()
+        if gpu_to_use is None:
+            # GPU not supported
+            return math.nan
+
+        try:
+            for sensor in gpu_to_use.Sensors:
+                if sensor.SensorType == Hardware.SensorType.Clock:
+                    # Keep only real core clocks, ignore effective core clocks
+                    if "Core" in str(sensor.Name) and "Effective" not in str(sensor.Name):
+                        if sensor.Value:
+                            return float(sensor.Value)
+        except:
+            pass
+
+        # No Frequency sensor for this GPU model
+        return math.nan
+
     @classmethod
     def is_available(cls) -> bool:
         cls.gpu_name = get_gpu_name()

library/sensors/sensors_python.py

@@ -176,6 +176,16 @@ def fan_percent() -> float:
         else:
             return math.nan
 
+    @staticmethod
+    def frequency() -> float:
+        global DETECTED_GPU
+        if DETECTED_GPU == GpuType.AMD:
+            return GpuAmd.frequency()
+        elif DETECTED_GPU == GpuType.NVIDIA:
+            return GpuNvidia.frequency()
+        else:
+            return math.nan
+
     @staticmethod
     def is_available() -> bool:
         global DETECTED_GPU
@@ -247,6 +257,11 @@ def fan_percent() -> float:
 
         return math.nan
 
+    @staticmethod
+    def frequency() -> float:
+        # Not supported by Python libraries
+        return math.nan
+
     @staticmethod
     def is_available() -> bool:
         try:
@@ -260,52 +275,43 @@ class GpuAmd(sensors.Gpu):
     def stats() -> Tuple[float, float, float, float]:  # load (%) / used mem (%) / used mem (Mb) / temp (°C)
         if pyamdgpuinfo:
             # Unlike other sensors, AMD GPU with pyamdgpuinfo pulls in all the stats at once
-            i = 0
-            amd_gpus = []
-            while i < pyamdgpuinfo.detect_gpus():
-                amd_gpus.append(pyamdgpuinfo.get_gpu(i))
-                i = i + 1
+            pyamdgpuinfo.detect_gpus()
+            amd_gpu = pyamdgpuinfo.get_gpu(0)
 
             try:
-                memory_used_all = [item.query_vram_usage() for item in amd_gpus]
-                memory_used_bytes = sum(memory_used_all) / len(memory_used_all)
+                memory_used_bytes = amd_gpu.query_vram_usage()
                 memory_used = memory_used_bytes / 1000000
             except:
                 memory_used_bytes = math.nan
                 memory_used = math.nan
 
             try:
-                memory_total_all = [item.memory_info["vram_size"] for item in amd_gpus]
-                memory_total_bytes = sum(memory_total_all) / len(memory_total_all)
+                memory_total_bytes = amd_gpu.memory_info["vram_size"]
                 memory_percentage = (memory_used_bytes / memory_total_bytes) * 100
             except:
                 memory_percentage = math.nan
 
             try:
-                load_all = [item.query_load() for item in amd_gpus]
-                load = (sum(load_all) / len(load_all)) * 100
+                load = amd_gpu.query_load()
             except:
                 load = math.nan
 
             try:
-                temperature_all = [item.query_temperature() for item in amd_gpus]
-                temperature = sum(temperature_all) / len(temperature_all)
+                temperature = amd_gpu.query_temperature()
             except:
                 temperature = math.nan
 
             return load, memory_percentage, memory_used, temperature
         elif pyadl:
-            amd_gpus = pyadl.ADLManager.getInstance().getDevices()
+            amd_gpu = pyadl.ADLManager.getInstance().getDevices()[0]
 
             try:
-                load_all = [item.getCurrentUsage() for item in amd_gpus]
-                load = (sum(load_all) / len(load_all))
+                load = amd_gpu.getCurrentUsage()
             except:
                 load = math.nan
 
             try:
-                temperature_all = [item.getCurrentTemperature() for item in amd_gpus]
-                temperature = sum(temperature_all) / len(temperature_all)
+                temperature = amd_gpu.getCurrentTemperature()
             except:
                 temperature = math.nan
 
@@ -320,17 +326,33 @@ def fps() -> int:
     @staticmethod
     def fan_percent() -> float:
         try:
+            # Try with psutil fans
             fans = sensors_fans_percent()
             if fans:
                 for name, entries in fans.items():
                     for entry in entries:
                         if "gpu" in (entry.label or name):
                             return entry.current
+
+            # Try with pyadl if psutil did not find GPU fan
+            if pyadl:
+                return pyadl.ADLManager.getInstance().getDevices()[0].getCurrentFanSpeed(
+                    pyadl.ADL_DEVICE_FAN_SPEED_TYPE_PERCENTAGE)
         except:
             pass
 
         return math.nan
 
+    @staticmethod
+    def frequency() -> float:
+        if pyamdgpuinfo:
+            pyamdgpuinfo.detect_gpus()
+            return pyamdgpuinfo.get_gpu(0).query_sclk() / 1000000
+        elif pyadl:
+            return pyadl.ADLManager.getInstance().getDevices()[0].getCurrentEngineClock()
+        else:
+            return math.nan
+
     @staticmethod
     def is_available() -> bool:
         try:

library/sensors/sensors_stub_random.py

@@ -60,6 +60,10 @@ def fps() -> int:
     def fan_percent() -> float:
         return random.uniform(0, 100)
 
+    @staticmethod
+    def frequency() -> float:
+        return random.uniform(800, 3400)
+
     @staticmethod
     def is_available() -> bool:
         return True

library/sensors/sensors_stub_static.py

@@ -35,6 +35,7 @@
 GPU_MEM_TOTAL_SIZE_GB = 32
 NETWORK_SPEED_BYTES = 1061000000
 GPU_FPS = 120
+GPU_FREQ_MHZ = 1500.0
 
 
 class Cpu(sensors.Cpu):
@@ -73,6 +74,10 @@ def fps() -> int:
     def fan_percent() -> float:
         return PERCENTAGE_SENSOR_VALUE
 
+    @staticmethod
+    def frequency() -> float:
+        return GPU_FREQ_MHZ
+
     @staticmethod
     def is_available() -> bool:
         return True

library/stats.py

@@ -240,6 +240,7 @@ class CPU:
     last_values_cpu_percentage = []
     last_values_cpu_temperature = []
     last_values_cpu_fan_speed = []
+    last_values_cpu_frequency = []
 
     @classmethod
     def percentage(cls):
@@ -258,12 +259,26 @@ def percentage(cls):
 
     @classmethod
     def frequency(cls):
+        freq_ghz = sensors.Cpu.frequency() / 1000
+        theme_data = config.THEME_DATA['STATS']['CPU']['FREQUENCY']
+
+        save_last_value(freq_ghz, cls.last_values_cpu_frequency,
+                        theme_data['LINE_GRAPH'].get("HISTORY_SIZE", DEFAULT_HISTORY_SIZE))
+
         display_themed_value(
-            theme_data=config.THEME_DATA['STATS']['CPU']['FREQUENCY']['TEXT'],
-            value=f'{sensors.Cpu.frequency() / 1000:.2f}',
+            theme_data=theme_data['TEXT'],
+            value=f'{freq_ghz:.2f}',
+            unit=" GHz",
+            min_size=4
+        )
+        display_themed_progress_bar(theme_data['GRAPH'], freq_ghz)
+        display_themed_radial_bar(
+            theme_data=theme_data['RADIAL'],
+            value=f'{freq_ghz:.2f}',
             unit=" GHz",
             min_size=4
         )
+        display_themed_line_graph(theme_data['LINE_GRAPH'], cls.last_values_cpu_frequency)
 
     @classmethod
     def load(cls):
@@ -336,12 +351,14 @@ class Gpu:
     last_values_gpu_temperature = []
     last_values_gpu_fps = []
     last_values_gpu_fan_speed = []
+    last_values_gpu_frequency = []
 
     @classmethod
     def stats(cls):
         load, memory_percentage, memory_used_mb, temperature = sensors.Gpu.stats()
         fps = sensors.Gpu.fps()
         fan_percent = sensors.Gpu.fan_percent()
+        freq_ghz = sensors.Gpu.frequency() / 1000
 
         theme_gpu_data = config.THEME_DATA['STATS']['GPU']
 
@@ -355,6 +372,8 @@ def stats(cls):
                         theme_gpu_data['FPS']['LINE_GRAPH'].get("HISTORY_SIZE", DEFAULT_HISTORY_SIZE))
         save_last_value(fan_percent, cls.last_values_gpu_fan_speed,
                         theme_gpu_data['FAN_SPEED']['LINE_GRAPH'].get("HISTORY_SIZE", DEFAULT_HISTORY_SIZE))
+        save_last_value(freq_ghz, cls.last_values_gpu_frequency,
+                        theme_gpu_data['FREQUENCY']['LINE_GRAPH'].get("HISTORY_SIZE", DEFAULT_HISTORY_SIZE))
 
         ################################ for backward compatibility only
         gpu_mem_graph_data = theme_gpu_data['MEMORY']['GRAPH']
@@ -512,6 +531,26 @@ def stats(cls):
         display_themed_percent_radial_bar(gpu_fan_radial_data, fan_percent)
         display_themed_line_graph(gpu_fan_line_graph_data, cls.last_values_gpu_fan_speed)
 
+        # GPU Frequency (Ghz)
+        gpu_freq_text_data = theme_gpu_data['FREQUENCY']['TEXT']
+        gpu_freq_radial_data = theme_gpu_data['FREQUENCY']['RADIAL']
+        gpu_freq_graph_data = theme_gpu_data['FREQUENCY']['GRAPH']
+        gpu_freq_line_graph_data = theme_gpu_data['FREQUENCY']['LINE_GRAPH']
+        display_themed_value(
+            theme_data=gpu_freq_text_data,
+            value=f'{freq_ghz:.2f}',
+            unit=" GHz",
+            min_size=4
+        )
+        display_themed_progress_bar(gpu_freq_graph_data, freq_ghz)
+        display_themed_radial_bar(
+            theme_data=gpu_freq_radial_data,
+            value=f'{freq_ghz:.2f}',
+            unit=" GHz",
+            min_size=4
+        )
+        display_themed_line_graph(gpu_freq_line_graph_data, cls.last_values_gpu_frequency)
+
     @staticmethod
     def is_available():
         return sensors.Gpu.is_available()

res/themes/Cyberdeck/theme.yaml

@@ -185,6 +185,7 @@ STATS:
     FPS:
       TEXT:
         SHOW: True
+        SHOW_UNIT: False
         X: 46
         Y: 279
         MIN_SIZE: 4