in.cpp. ‣ ARM ‣ Passing external CUDA Streams to PyTorch via torch.cuda.streams.ExternalStream(stream_v) might fail and is being debugged. PyTorch RN-08516-001_v23.07 | 141 Chapter 22. PyTorch ucx_net_devices. ‣ ARM ‣ Passing external CUDA Streams to PyTorch via `torch.cuda.streams.ExternalStream(stream_v)` might fail and is being debugged. PyTorch RN-08516-001_v23.07 | 148 Chapter 23. PyTorch ucx_net_devices. ‣ ARM ‣ Passing external CUDA Streams to PyTorch via `torch.cuda.streams.ExternalStream(stream_v)` might fail and is being debugged. PyTorch RN-08516-001_v23.07 | 155 Chapter 24. PyTorch

baseline500_hist = train(model, tds, vds, epochs=100) Epoch 1/100 2021-11-09 14:44:20.431426: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8005 32/32 [==============================] baseline1000_hist = train(model, tds, vds, epochs=100) Epoch 1/100 2021-11-09 15:38:34.694059: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8005 63/63 [==============================]

Assistant Response 1:') responses = [] for responses in llm.chat(messages=messages, functions=functions, stream=True): print(responses) messages.extend(responses) # extend conversation with assistant's reply llm.chat( (续下页) 1.13. Function Calling 39 Qwen (接上页) messages=messages, functions=functions, stream=True, ): # get a new response from the model where it can see the function response print(responses)

hexdigest() == sha1_hash: return fname # 命中缓存 print(f'正在从{url}下载{fname}...') r = requests.get(url, stream=True, verify=True) with open(fname, 'wb') as f: f.write(r.content) return fname 我们还需实现两个实用函数