| import nvidia_smi | |
| from lmdeploy import pipeline, TurbomindEngineConfig | |
| from lmdeploy.vl import load_image | |
| nvidia_smi.nvmlInit() | |
| handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0) | |
| nvidia_smi.nvmlShutdown() | |
| engine_config = TurbomindEngineConfig(cache_max_entry_count=0.1) | |
| pipe = pipeline('internlm/internlm-xcomposer2d5-7b', backend_config=engine_config) | |
| image = load_image('examples/dubai.png') | |
| response = pipe(('describe this image', image)) | |
| print(response.text) | |
| info = nvidia_smi.nvmlDeviceGetMemoryInfo(handle) | |
| print("Total memory:", info.total / 1024 / 1024 / 1024) | |
| print("Free memory:", info.free / 1024 / 1024 / 1024) | |
| print("Used memory:", info.used / 1024 / 1024 / 1024) | |