| 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 |