Create optimize.py

optimize.py

@@ -0,0 +1,24 @@
+import torch
+from torch.utils.cpp_extension import CUDA_HOME
+
+def optimize_model(model):
+    """Apply various optimizations"""
+    # Mixed precision
+    model.half()
+    
+    # CUDA optimizations
+    if torch.cuda.is_available():
+        model = model.to('cuda')
+        torch.backends.cudnn.benchmark = True
+        torch.backends.cuda.matmul.allow_tf32 = True
+    
+    # Compile with torch.compile (PyTorch 2.0+)
+    if hasattr(torch, 'compile'):
+        model = torch.compile(model, mode="reduce-overhead")
+    
+    return model
+
+def memory_optimization():
+    """Memory optimization techniques"""
+    torch.cuda.empty_cache()
+    torch.backends.cudnn.deterministic = False