如何调试 Google Cloud Dataflow 作业中的 msgpack 序列化问题？
How to debug msgpack serialisation issue in Google Cloud Dataflow job?
我有一个 Google Cloud Dataflow 作业，我想使用特定的 spacy 模型 neural coref 从文本中提取命名实体。
运行 没有光束的提取我可以提取实体，但是当我尝试使用 DirectRunner 运行 它时，由于 msgpack 的序列化错误，作业失败.我不确定如何继续调试这个问题。
我的要求很简单，要求是：
apache-beam[gcp]==2.4
spacy==2.0.12
ujson==1.35
这个问题可能与 spacy 和 beam 如何相互作用有关，因为堆栈跟踪显示 spacy 吐出了一些它不应该做的方法。
来自堆栈跟踪的奇怪的 spacy 日志行为：
T4: <class 'entity.extract_entities.EntityExtraction'>
# T4
D2: <dict object at 0x1126c0398>
T4: <class 'spacy.lang.en.English'>
# T4
D2: <dict object at 0x1126b54b0>
D2: <dict object at 0x1126d1168>
F2: <function is_alpha at 0x11266d320>
# F2
F2: <function is_ascii at 0x112327c08>
# F2
F2: <function is_digit at 0x11266d398>
# F2
F2: <function is_lower at 0x11266d410>
# F2
F2: <function is_punct at 0x112327b90>
# F2
F2: <function is_space at 0x11266d488>
# F2
F2: <function is_title at 0x11266d500>
# F2
F2: <function is_upper at 0x11266d578>
# F2
F2: <function like_url at 0x11266d050>
# F2
F2: <function like_num at 0x110d55140>
# F2
F2: <function like_email at 0x112327f50>
# F2
Fu: <functools.partial object at 0x11266c628>
F2: <function _create_ftype at 0x1070af500>
# F2
T1: <type 'functools.partial'>
F2: <function _load_type at 0x1070af398>
# F2
# T1
F2: <function is_stop at 0x11266d5f0>
# F2
D2: <dict object at 0x1126b7168>
T4: <type 'set'>
# T4
# D2
# Fu
F2: <function is_oov at 0x11266d668>
# F2
F2: <function is_bracket at 0x112327cf8>
# F2
F2: <function is_quote at 0x112327d70>
# F2
F2: <function is_left_punct at 0x112327de8>
# F2
F2: <function is_right_punct at 0x112327e60>
# F2
F2: <function is_currency at 0x112327ed8>
# F2
Fu: <functools.partial object at 0x110d49ba8>
F2: <function _get_attr_unless_lookup at 0x1106e26e0>
# F2
F2: <function lower at 0x11266d140>
# F2
D2: <dict object at 0x112317c58>
# D2
D2: <dict object at 0x110e38168>
# D2
D2: <dict object at 0x112669c58>
# D2
# Fu
F2: <function word_shape at 0x11266d0c8>
# F2
F2: <function prefix at 0x11266d1b8>
# F2
F2: <function suffix at 0x11266d230>
# F2
F2: <function get_prob at 0x11266d6e0>
# F2
F2: <function cluster at 0x11266d2a8>
# F2
F2: <function _return_en at 0x11266f0c8>
# F2
# D2
B2: <built-in function unpickle_vocab>
# B2
T4: <type 'spacy.strings.StringStore'>
# T4
我目前的假设是我的 setup.py 可能存在一些问题，但我不确定目前是什么导致了这个问题。
完整的堆栈跟踪是：
/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py:183: DeprecationWarning: encoding is deprecated, Use raw=False instead.
return _unpackb(packed, **kwargs)
/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py:132: DeprecationWarning: encoding is deprecated.
use_bin_type=use_bin_type)
T4: <class 'entity.extract_entities.EntityExtraction'>
# T4
D2: <dict object at 0x1126c0398>
T4: <class 'spacy.lang.en.English'>
# T4
D2: <dict object at 0x1126b54b0>
D2: <dict object at 0x1126d1168>
F2: <function is_alpha at 0x11266d320>
# F2
F2: <function is_ascii at 0x112327c08>
# F2
F2: <function is_digit at 0x11266d398>
# F2
F2: <function is_lower at 0x11266d410>
# F2
F2: <function is_punct at 0x112327b90>
# F2
F2: <function is_space at 0x11266d488>
# F2
F2: <function is_title at 0x11266d500>
# F2
F2: <function is_upper at 0x11266d578>
# F2
F2: <function like_url at 0x11266d050>
# F2
F2: <function like_num at 0x110d55140>
# F2
F2: <function like_email at 0x112327f50>
# F2
Fu: <functools.partial object at 0x11266c628>
F2: <function _create_ftype at 0x1070af500>
# F2
T1: <type 'functools.partial'>
F2: <function _load_type at 0x1070af398>
# F2
# T1
F2: <function is_stop at 0x11266d5f0>
# F2
D2: <dict object at 0x1126b7168>
T4: <type 'set'>
# T4
# D2
# Fu
F2: <function is_oov at 0x11266d668>
# F2
F2: <function is_bracket at 0x112327cf8>
# F2
F2: <function is_quote at 0x112327d70>
# F2
F2: <function is_left_punct at 0x112327de8>
# F2
F2: <function is_right_punct at 0x112327e60>
# F2
F2: <function is_currency at 0x112327ed8>
# F2
Fu: <functools.partial object at 0x110d49ba8>
F2: <function _get_attr_unless_lookup at 0x1106e26e0>
# F2
F2: <function lower at 0x11266d140>
# F2
D2: <dict object at 0x112317c58>
# D2
D2: <dict object at 0x110e38168>
# D2
D2: <dict object at 0x112669c58>
# D2
# Fu
F2: <function word_shape at 0x11266d0c8>
# F2
F2: <function prefix at 0x11266d1b8>
# F2
F2: <function suffix at 0x11266d230>
# F2
F2: <function get_prob at 0x11266d6e0>
# F2
F2: <function cluster at 0x11266d2a8>
# F2
F2: <function _return_en at 0x11266f0c8>
# F2
# D2
B2: <built-in function unpickle_vocab>
# B2
T4: <type 'spacy.strings.StringStore'>
# T4
Traceback (most recent call last):
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/Users/chris/coref_entity_extraction/main.py", line 29, in <module>
run()
File "/Users/chris/coref_entity_extraction/main.py", line 24, in run
entities = records | 'ExtractEntities' >> beam.ParDo(EntityExtraction())
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/transforms/core.py", line 784, in __init__
super(ParDo, self).__init__(fn, *args, **kwargs)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/transforms/ptransform.py", line 638, in __init__
self.fn = pickler.loads(pickler.dumps(self.fn))
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 204, in dumps
s = dill.dumps(o)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 259, in dumps
dump(obj, file, protocol, byref, fmode, recurse)#, strictio)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 252, in dump
pik.dump(obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 224, in dump
self.save(obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 425, in save_reduce
save(state)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 172, in new_save_module_dict
return old_save_module_dict(pickler, obj)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 841, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 655, in save_dict
self._batch_setitems(obj.iteritems())
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 692, in _batch_setitems
save(v)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 425, in save_reduce
save(state)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 172, in new_save_module_dict
return old_save_module_dict(pickler, obj)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 841, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 655, in save_dict
self._batch_setitems(obj.iteritems())
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 687, in _batch_setitems
save(v)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 401, in save_reduce
save(args)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 568, in save_tuple
save(element)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 306, in save
rv = reduce(self.proto)
File "vectors.pyx", line 108, in spacy.vectors.Vectors.__reduce__
File "vectors.pyx", line 409, in spacy.vectors.Vectors.to_bytes
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/spacy/util.py", line 485, in to_bytes
serialized[key] = getter()
File "vectors.pyx", line 404, in spacy.vectors.Vectors.to_bytes.serialize_weights
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py", line 165, in packb
return Packer(**kwargs).pack(o)
File "msgpack/_packer.pyx", line 282, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 288, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 285, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 232, in msgpack._cmsgpack.Packer._pack
File "msgpack/_packer.pyx", line 279, in msgpack._cmsgpack.Packer._pack
TypeError: can not serialize 'buffer' object
我不知道如何用 beam 调试这个问题。为了重现整个问题，我设置了一个 repo，其中包含有关如何设置所有内容的说明：https://github.com/swartchris8/coref_barebones
您能运行来自常规 Python 程序（不是来自 Beam DoFn）的相同代码吗？
如果不是，请检查您是否将任何不可序列化的状态存储在 Beam DoFn（或将由 Beam 序列化的任何其他函数）中。这会阻止 Beam 运行ners 序列化这些函数（发送给工作人员），因此应该避免。
最后我通过更改安装的软件包版本解决了上述问题。我确实认为调试光束设置过程非常痛苦，尽管我的方法只是手动尝试不同的包排列。
我有一个 Google Cloud Dataflow 作业，我想使用特定的 spacy 模型 neural coref 从文本中提取命名实体。
运行 没有光束的提取我可以提取实体，但是当我尝试使用 DirectRunner 运行 它时，由于 msgpack 的序列化错误，作业失败.我不确定如何继续调试这个问题。
我的要求很简单，要求是：
apache-beam[gcp]==2.4
spacy==2.0.12
ujson==1.35
这个问题可能与 spacy 和 beam 如何相互作用有关，因为堆栈跟踪显示 spacy 吐出了一些它不应该做的方法。
来自堆栈跟踪的奇怪的 spacy 日志行为：
T4: <class 'entity.extract_entities.EntityExtraction'>
# T4
D2: <dict object at 0x1126c0398>
T4: <class 'spacy.lang.en.English'>
# T4
D2: <dict object at 0x1126b54b0>
D2: <dict object at 0x1126d1168>
F2: <function is_alpha at 0x11266d320>
# F2
F2: <function is_ascii at 0x112327c08>
# F2
F2: <function is_digit at 0x11266d398>
# F2
F2: <function is_lower at 0x11266d410>
# F2
F2: <function is_punct at 0x112327b90>
# F2
F2: <function is_space at 0x11266d488>
# F2
F2: <function is_title at 0x11266d500>
# F2
F2: <function is_upper at 0x11266d578>
# F2
F2: <function like_url at 0x11266d050>
# F2
F2: <function like_num at 0x110d55140>
# F2
F2: <function like_email at 0x112327f50>
# F2
Fu: <functools.partial object at 0x11266c628>
F2: <function _create_ftype at 0x1070af500>
# F2
T1: <type 'functools.partial'>
F2: <function _load_type at 0x1070af398>
# F2
# T1
F2: <function is_stop at 0x11266d5f0>
# F2
D2: <dict object at 0x1126b7168>
T4: <type 'set'>
# T4
# D2
# Fu
F2: <function is_oov at 0x11266d668>
# F2
F2: <function is_bracket at 0x112327cf8>
# F2
F2: <function is_quote at 0x112327d70>
# F2
F2: <function is_left_punct at 0x112327de8>
# F2
F2: <function is_right_punct at 0x112327e60>
# F2
F2: <function is_currency at 0x112327ed8>
# F2
Fu: <functools.partial object at 0x110d49ba8>
F2: <function _get_attr_unless_lookup at 0x1106e26e0>
# F2
F2: <function lower at 0x11266d140>
# F2
D2: <dict object at 0x112317c58>
# D2
D2: <dict object at 0x110e38168>
# D2
D2: <dict object at 0x112669c58>
# D2
# Fu
F2: <function word_shape at 0x11266d0c8>
# F2
F2: <function prefix at 0x11266d1b8>
# F2
F2: <function suffix at 0x11266d230>
# F2
F2: <function get_prob at 0x11266d6e0>
# F2
F2: <function cluster at 0x11266d2a8>
# F2
F2: <function _return_en at 0x11266f0c8>
# F2
# D2
B2: <built-in function unpickle_vocab>
# B2
T4: <type 'spacy.strings.StringStore'>
# T4
我目前的假设是我的 setup.py 可能存在一些问题，但我不确定目前是什么导致了这个问题。
完整的堆栈跟踪是：
/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py:183: DeprecationWarning: encoding is deprecated, Use raw=False instead.
return _unpackb(packed, **kwargs)
/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py:132: DeprecationWarning: encoding is deprecated.
use_bin_type=use_bin_type)
T4: <class 'entity.extract_entities.EntityExtraction'>
# T4
D2: <dict object at 0x1126c0398>
T4: <class 'spacy.lang.en.English'>
# T4
D2: <dict object at 0x1126b54b0>
D2: <dict object at 0x1126d1168>
F2: <function is_alpha at 0x11266d320>
# F2
F2: <function is_ascii at 0x112327c08>
# F2
F2: <function is_digit at 0x11266d398>
# F2
F2: <function is_lower at 0x11266d410>
# F2
F2: <function is_punct at 0x112327b90>
# F2
F2: <function is_space at 0x11266d488>
# F2
F2: <function is_title at 0x11266d500>
# F2
F2: <function is_upper at 0x11266d578>
# F2
F2: <function like_url at 0x11266d050>
# F2
F2: <function like_num at 0x110d55140>
# F2
F2: <function like_email at 0x112327f50>
# F2
Fu: <functools.partial object at 0x11266c628>
F2: <function _create_ftype at 0x1070af500>
# F2
T1: <type 'functools.partial'>
F2: <function _load_type at 0x1070af398>
# F2
# T1
F2: <function is_stop at 0x11266d5f0>
# F2
D2: <dict object at 0x1126b7168>
T4: <type 'set'>
# T4
# D2
# Fu
F2: <function is_oov at 0x11266d668>
# F2
F2: <function is_bracket at 0x112327cf8>
# F2
F2: <function is_quote at 0x112327d70>
# F2
F2: <function is_left_punct at 0x112327de8>
# F2
F2: <function is_right_punct at 0x112327e60>
# F2
F2: <function is_currency at 0x112327ed8>
# F2
Fu: <functools.partial object at 0x110d49ba8>
F2: <function _get_attr_unless_lookup at 0x1106e26e0>
# F2
F2: <function lower at 0x11266d140>
# F2
D2: <dict object at 0x112317c58>
# D2
D2: <dict object at 0x110e38168>
# D2
D2: <dict object at 0x112669c58>
# D2
# Fu
F2: <function word_shape at 0x11266d0c8>
# F2
F2: <function prefix at 0x11266d1b8>
# F2
F2: <function suffix at 0x11266d230>
# F2
F2: <function get_prob at 0x11266d6e0>
# F2
F2: <function cluster at 0x11266d2a8>
# F2
F2: <function _return_en at 0x11266f0c8>
# F2
# D2
B2: <built-in function unpickle_vocab>
# B2
T4: <type 'spacy.strings.StringStore'>
# T4
Traceback (most recent call last):
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/Users/chris/coref_entity_extraction/main.py", line 29, in <module>
run()
File "/Users/chris/coref_entity_extraction/main.py", line 24, in run
entities = records | 'ExtractEntities' >> beam.ParDo(EntityExtraction())
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/transforms/core.py", line 784, in __init__
super(ParDo, self).__init__(fn, *args, **kwargs)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/transforms/ptransform.py", line 638, in __init__
self.fn = pickler.loads(pickler.dumps(self.fn))
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 204, in dumps
s = dill.dumps(o)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 259, in dumps
dump(obj, file, protocol, byref, fmode, recurse)#, strictio)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 252, in dump
pik.dump(obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 224, in dump
self.save(obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 425, in save_reduce
save(state)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 172, in new_save_module_dict
return old_save_module_dict(pickler, obj)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 841, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 655, in save_dict
self._batch_setitems(obj.iteritems())
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 692, in _batch_setitems
save(v)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 425, in save_reduce
save(state)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/apache_beam/internal/pickler.py", line 172, in new_save_module_dict
return old_save_module_dict(pickler, obj)
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/dill/dill.py", line 841, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 655, in save_dict
self._batch_setitems(obj.iteritems())
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 687, in _batch_setitems
save(v)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 401, in save_reduce
save(args)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 568, in save_tuple
save(element)
File "/Users/chris/.pyenv/versions/2.7.14/lib/python2.7/pickle.py", line 306, in save
rv = reduce(self.proto)
File "vectors.pyx", line 108, in spacy.vectors.Vectors.__reduce__
File "vectors.pyx", line 409, in spacy.vectors.Vectors.to_bytes
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/spacy/util.py", line 485, in to_bytes
serialized[key] = getter()
File "vectors.pyx", line 404, in spacy.vectors.Vectors.to_bytes.serialize_weights
File "/Users/chris/coref_entity_extraction/venv/lib/python2.7/site-packages/msgpack_numpy.py", line 165, in packb
return Packer(**kwargs).pack(o)
File "msgpack/_packer.pyx", line 282, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 288, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 285, in msgpack._cmsgpack.Packer.pack
File "msgpack/_packer.pyx", line 232, in msgpack._cmsgpack.Packer._pack
File "msgpack/_packer.pyx", line 279, in msgpack._cmsgpack.Packer._pack
TypeError: can not serialize 'buffer' object
我不知道如何用 beam 调试这个问题。为了重现整个问题，我设置了一个 repo，其中包含有关如何设置所有内容的说明：https://github.com/swartchris8/coref_barebones
您能运行来自常规 Python 程序（不是来自 Beam DoFn）的相同代码吗？
如果不是，请检查您是否将任何不可序列化的状态存储在 Beam DoFn（或将由 Beam 序列化的任何其他函数）中。这会阻止 Beam 运行ners 序列化这些函数（发送给工作人员），因此应该避免。
最后我通过更改安装的软件包版本解决了上述问题。我确实认为调试光束设置过程非常痛苦，尽管我的方法只是手动尝试不同的包排列。