在运行示例代码时遇到错误，liveness info missing for vars: {'$phi66.0'}

[kevingeng]

在--dataset=baidu或dianping数据集上运行训练名利时遇到如下错误：

RuntimeError: Failed in object mode pipeline (step: remove phis nodes) liveness info missing for vars: {'$phi66.0'}

错误源自numba，在如下位置触发：
File "/data/notebook/chinese-opinion-target-extraction/utils/preprocess.py", line 109, in construct_features features['char_tag'] = make_char_tag(features['word'], origin['ot'])

请问可以从那些方面尝试解决？谢谢。

详细错误如下：

(venv) [root@www chinese-opinion-target-extraction]# python main.py --mode=train --dataset=baidu
Using TensorFlow backend.
2020-11-25 13:45:40.301496: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /data/anaconda3/envs/spacynew/lib:
2020-11-25 13:45:40.301581: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using dataset baidu
Loading Segment Model...
Model loaded succeed
Loading dictionary
Processing dataset/baidu/train.txt ...
5%|███▋ | 424/8533 [01:32<09:11, 14.71it/s]Traceback (most recent call last):
File "main.py", line 79, in
preprocess(dataset)
File "/data/notebook/chinese-opinion-target-extraction/utils/preprocess.py", line 156, in preprocess
for line in handle_data('dataset/%s/%s.txt' % (dataset_name, dataset_type)):
File "/data/notebook/chinese-opinion-target-extraction/utils/preprocess.py", line 142, in handle_data
tqdm(open(dataset, 'r', encoding='utf-8').readlines())]
File "/data/notebook/chinese-opinion-target-extraction/utils/preprocess.py", line 141, in
data = [construct_features(json.loads(line)) for line in
File "/data/notebook/chinese-opinion-target-extraction/utils/preprocess.py", line 109, in construct_features
features['char_tag'] = make_char_tag(features['word'], origin['ot'])
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/dispatcher.py", line 434, in _compile_for_args
raise e
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/dispatcher.py", line 367, in _compile_for_args
return self.compile(tuple(argtypes))
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/dispatcher.py", line 1004, in compile
is_lifted_loop=True,)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 665, in compile_ir
norw_cres = compile_local(func_ir.copy(), norw_flags)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 662, in compile_local
lifted_from=lifted_from)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 373, in compile_ir
return self._compile_ir()
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 432, in _compile_ir
return self._compile_core()
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 405, in _compile_core
raise e
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler.py", line 396, in _compile_core
pm.run(self.state)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_machinery.py", line 341, in run
raise patched_exception
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_machinery.py", line 332, in run
self._runPass(idx, pass_inst, state)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_machinery.py", line 291, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/compiler_machinery.py", line 264, in check
mangled = func(compiler_state)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/typed_passes.py", line 734, in run_pass
post_proc.run(emit_dels=False)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/postproc.py", line 82, in run
vlt.deadmaps.combined)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/utils.py", line 349, in get
res = instance.dict[self.name] = self.func(instance)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/postproc.py", line 54, in deadmaps
self.usedefs.defmap)
File "/data/notebook/chinese-opinion-target-extraction/venv/lib/python3.7/site-packages/numba/core/analysis.py", line 180, in compute_dead_maps
raise RuntimeError(msg)
RuntimeError: Failed in object mode pipeline (step: remove phis nodes)
liveness info missing for vars: {'$phi66.0'}
5%|███▋ | 426/8533 [01:36<30:35, 4.42it/s]
(venv) [root@www chinese-opinion-target-extraction]#

[lsvih]

可能是 numba 更新过了，把用 numba 的地方注释掉就行了，虽然会慢一点但是不会有问题

[kevingeng]

谢谢，已经通了。 发件人: [email protected] <[email protected]> 代表 lsvih 发送时间: 2020年11月25日 14:32 收件人: kdsec/chinese-opinion-target-extraction <[email protected]> 抄送: kevin.geng <[email protected]>; Author <[email protected]> 主题: Re: [kdsec/chinese-opinion-target-extraction] 在运行示例代码时遇到错误，liveness info missing for vars: {'$phi66.0'} (#7) 可能是 numba 更新过了，把用 numba 的地方注释掉就行了，虽然会慢一点但是不会有问题 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#7 (comment)> , or unsubscribe <https://github.com/notifications/unsubscribe-auth/AARTIJSTJYIPFKOUH2JBF6DSRSQGFANCNFSM4UB5PUIQ> . <https://github.com/notifications/beacon/AARTIJVIJZ4SQ5AZEDW6N7DSRSQGFA5CNFSM4UB5PUI2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOFO4ETZA.gif>