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@ -72,3 +72,24 @@ The detailed error:
Running `conda install -c conda-forge libstdcxx-ng` can solve the problem.
### Q: When running the bfloat16 moe model, the data shows NaN
The detailed error:
```shell
Traceback (most recent call last):
File "/root/ktransformers/ktransformers/local_chat.py", line 183, in <module>
fire.Fire(local_chat)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 135, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 468, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 684, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/root/ktransformers/ktransformers/local_chat.py", line 177, in local_chat
generated = prefill_and_generate(
File "/root/ktransformers/ktransformers/util/utils.py", line 204, in prefill_and_generate
next_token = decode_one_tokens(cuda_graph_runner, next_token.unsqueeze(0), position_ids, cache_position, past_key_values, use_cuda_graph).to(torch_device)
File "/root/ktransformers/ktransformers/util/utils.py", line 128, in decode_one_tokens
next_token = torch.multinomial(probs, num_samples=1).squeeze(1)
RuntimeError: probability tensor contains either `inf`, `nan` or element < 0
```
**SOLUTION**: The issue of running ktransformers on Ubuntu 22.04 is caused by the current system's g++ version being too old, and the pre-defined macros do not include avx_bf16. We have tested and confirmed that it works on g++ 11.4 in Ubuntu 22.04.