文章目录
- 准备阶段
- 避坑阶段
- 解决方案
- 一、modeling_qwen.py
- 二、cli_demo.py
- 结果展示
准备阶段
参考我上一篇文章910b上跑Chatglm3-6b进行流式输出【pytorch框架】
避坑阶段
- 我在mindspore框架下运行了qwen-7b-base、qwen-7b-chat输出都有大大的问题,参考官方文档
qwen-7b-base的输出
qwen-7b-chat的输出
- 像之前给ChatCLM3一样添加代码,会报错
'torch_npu._C._NPUDeviceProperties' object has no attribute 'major'
Traceback (most recent call last):
File "/home/HwHiAiUser/Qwen/cli_demo.py", line 228, in <module>
main()
File "/home/HwHiAiUser/Qwen/cli_demo.py", line 130, in main
model, tokenizer, config = _load_model_tokenizer(args)
File "/home/HwHiAiUser/Qwen/cli_demo.py", line 68, in _load_model_tokenizer
model = AutoModelForCausalLM.from_pretrained(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 553, in from_pretrained
model_class = get_class_from_dynamic_module(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/transformers/dynamic_module_utils.py", line 500, in get_class_from_dynamic_module
return get_class_in_module(class_name, final_module.replace(".py", ""))
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/transformers/dynamic_module_utils.py", line 200, in get_class_in_module
module = importlib.import_module(module_path)
File "/home/anaconda3/envs/sakura/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 790, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/root/.cache/huggingface/modules/transformers_modules/Qwen-7B-Chat/modeling_qwen.py", line 38, in <module>
SUPPORT_BF16 = SUPPORT_CUDA and torch.cuda.is_bf16_supported()
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/cuda/__init__.py", line 154, in is_bf16_supported
torch.cuda.get_device_properties(torch.cuda.current_device()).major >= 8
AttributeError: 'torch_npu._C._NPUDeviceProperties' object has no attribute 'major'
解决这个报错能搜到是下面这些
华为官网上的回答,一般都在和稀泥,要么没人理
gitee这个,虽然报错结果一样,但是过程不一样,没有参考价值
Github上看了,推理都是在mindspore框架下进行的,没有参考价值
解决方案
一、modeling_qwen.py
找到第38,39行,替换为
SUPPORT_BF16 = False
SUPPORT_FP16 = True
尝试过SUPPORT_BF16 = True
,会报错
Traceback (most recent call last):
File "/home/HwHiAiUser/Qwen/cli_demo.py", line 228, in <module>
main()
File "/home/HwHiAiUser/Qwen/cli_demo.py", line 212, in main
for response in model.chat_stream(tokenizer, query, history=history, generation_config=config):
File "/root/.cache/huggingface/modules/transformers_modules/Qwen-7B-Chat/modeling_qwen.py", line 1216, in stream_generator
for token in self.generate_stream(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 35, in generator_context
response = gen.send(None)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/transformers_stream_generator/main.py", line 931, in sample_stream
outputs = self(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/Qwen-7B-Chat/modeling_qwen.py", line 1045, in forward
transformer_outputs = self.transformer(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/Qwen-7B-Chat/modeling_qwen.py", line 824, in forward
inputs_embeds = self.wte(input_ids)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/modules/sparse.py", line 162, in forward
return F.embedding(
File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/nn/functional.py", line 2233, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: call aclnnEmbedding failed, detail:EZ1001: weight not implemented for DT_BFLOAT16, should be in dtype support list [DT_DOUBLE,DT_FLOAT,DT_FLOAT16,DT_INT64,DT_INT32,DT_INT16,DT_INT8,DT_UINT8,DT_BOOL,DT_COMPLEX128,DT_COMPLEX64,].
二、cli_demo.py
注释加载模型的resume_download
model = AutoModelForCausalLM.from_pretrained(
args.checkpoint_path,
device_map=device_map,
trust_remote_code=True,
# resume_download=True,
).npu().eval()
结果展示
- 速度很慢,比mindspore慢了一倍,但是好歹能正常输出了,虽然还输出错了。
- 搞笑的是mindspore框架推理ChatGLM3背诵出师表只背诵前半部分,Qwen这里背诵了后半部分,Torch框架下ChatGLM3可以背出全文。