运行GLM示例报错 module 'oneflow._C' has no attribute 'fused_multi_head_attention_inference_v2'

[bmfire1]

Summary

运行projects目录GLM例子，运行报错：

The following model configurations has been modified according to `config.json` or kwargs: 
{'num_layers', 'num_attention_heads', 'hidden_size', 'vocab_size'} 

W20230627 17:50:38.624037 18121 cuda_stream.cpp:48] Runtime version 11.2 of cuBLAS incompatible with compiletime version 11.10.
W20230627 17:50:39.510000 18121 cuda_stream.cpp:48] Runtime version 8.4 of cuDNN incompatible with compiletime version 8.5.
Traceback (most recent call last):
  File "/home/ubuntu/newspace/deploy/oneflow/libai/demo_glm.py", line 124, in <module>
    outputs = model.generate(
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/autograd/autograd_mode.py", line 154, in wrapper
    return func(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/libai/inference/generator/generation_utils.py", line 1002, in generate
    return self.greedy_search(
  File "/home/ubuntu/newspace/deploy/oneflow/libai/libai/inference/generator/generation_utils.py", line 490, in greedy_search
    outputs = self(**model_inputs)
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/nn/modules/module.py", line 163, in __call__
    res = self.forward(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/projects/GLM/modeling_glm.py", line 397, in forward
    lm_logits, mems = self.glm(
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/nn/modules/module.py", line 163, in __call__
    res = self.forward(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/projects/GLM/modeling_glm.py", line 204, in forward
    logits, mem_layers = self.transformer(
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/nn/modules/module.py", line 163, in __call__
    res = self.forward(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/projects/GLM/modeling_glm.py", line 75, in forward
    hidden_states = layer(hidden_states, attention_mask, mem=mem_i)
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/nn/modules/module.py", line 163, in __call__
    res = self.forward(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/projects/GLM/layers/transformer_layer.py", line 103, in forward
    attention_output = self.attention(
  File "/home/ubuntu/anaconda3/envs/libai/lib/python3.9/site-packages/oneflow/nn/modules/module.py", line 163, in __call__
    res = self.forward(*args, **kwargs)
  File "/home/ubuntu/newspace/deploy/oneflow/libai/projects/GLM/layers/attention_layer.py", line 111, in forward
    context = flow._C.fused_multi_head_attention_inference_v2(
AttributeError: module 'oneflow._C' has no attribute 'fused_multi_head_attention_inference_v2'

Code to reproduce bug

import oneflow as flow
from projects.GLM.tokenizer.glm_tokenizer import GLMChineseTokenzier
from libai.utils import distributed as dist
from projects.GLM.configs.glm_inference import cfg
from projects.GLM.modeling_glm import GLMForConditionalGeneration
from projects.GLM.utils.glm_loader import GLMLoaderHuggerFace
from omegaconf import DictConfig

parallel_config = DictConfig(
    dict(
        data_parallel_size=1,
        tensor_parallel_size=1,
        pipeline_parallel_size=1   
    )
)
dist.setup_dist_util(parallel_config)
model_path = "/home/ubuntu/workspace/models/glm-large-chinese"
tokenizer = GLMChineseTokenzier.from_pretrained(model_path)
input_ids = tokenizer.encode(
    [
        "凯旋门位于意大利米兰市古城堡旁。1807年为纪念[MASK]而建，门高25米，顶上矗立两武士青铜古兵车铸像。"
    ],
    return_tensors="of",
)
inputs = {"input_ids": input_ids, "attention_mask": flow.ones(input_ids.size())}
inputs = tokenizer.build_inputs_for_generation(inputs, max_gen_length=512)

sbp = dist.get_nd_sbp([flow.sbp.broadcast, flow.sbp.broadcast])
placement = dist.get_layer_placement(0)

loader = GLMLoaderHuggerFace(
    GLMForConditionalGeneration, 
    cfg, 
    model_path,
    embedding_dropout_prob=0,
    attention_dropout_prob=0,
    output_dropout_prob=0,
)
model = loader.load()

outputs = model.generate(
    inputs=inputs['input_ids'].to_global(sbp=sbp, placement=placement), 
    position_ids=inputs['position_ids'].to_global(sbp=sbp, placement=placement), 
    generation_attention_mask=inputs['generation_attention_mask'].to_global(sbp=sbp, placement=placement), 
    max_length=512
)

res = tokenizer.decode(outputs[0])
if dist.is_main_process():
    print(res)

python -m oneflow.distributed.launch --nproc_per_node 1 demo_glm.py
报错

System Information

• What is your OneFlow installation (pip, source, dockerhub):
• OS:ubuntu16.04
• OneFlow version (run python3 -m oneflow --doctor):0.9.0
• Python version:3.9
• CUDA driver version:525
• GPU models:
• Other info:

[tdeng521]

我也遇到的相同的问题，有解决的吗，