Create resource.py

ai/optimization/resource.py

@@ -0,0 +1,40 @@
+import psutil
+import torch
+
+class ResourceOptimizer:
+    def __init__(self, model: torch.nn.Module):
+        self.model = model
+        self.cpu_usage = 0
+        self.memory_usage = 0
+
+    def monitor_resources(self):
+        # Monitor CPU and memory usage
+        self.cpu_usage = psutil.cpu_percent()
+        self.memory_usage = psutil.virtual_memory().percent
+
+    def optimize_cpu(self, threshold: float):
+        # Optimize CPU usage by reducing batch size or model complexity
+        if self.cpu_usage > threshold:
+            batch_size = self.model.batch_size
+            self.model.batch_size = batch_size // 2
+            print(f"Reducing batch size to {batch_size // 2} to optimize CPU usage")
+
+    def optimize_memory(self, threshold: float):
+        # Optimize memory usage by reducing model size or using mixed precision
+        if self.memory_usage > threshold:
+            model_size = self.model.size()
+            self.model.size = model_size // 2
+            print(f"Reducing model size to {model_size // 2} to optimize memory usage")
+
+class ResourceScheduler:
+    def __init__(self, optimizer: ResourceOptimizer, monitor_frequency: int):
+        self.optimizer = optimizer
+        self.monitor_frequency = monitor_frequency
+        self.epoch = 0
+
+    def step(self):
+        if self.epoch % self.monitor_frequency == 0:
+            self.optimizer.monitor_resources()
+            self.optimizer.optimize_cpu(0.8)
+            self.optimizer.optimize_memory(0.8)
+        self.epoch += 1