Mac M1芯片 secretflow1.9.0b2报错 #1535

suk1M · 2024-10-12T09:05:41Z

suk1M
Oct 12, 2024

请大佬们看看为什么报这个错是少配置东西了吗

wangzul · 2024-10-14T03:10:42Z

wangzul
Oct 14, 2024
Collaborator

这可能是因为权限问题、系统配置问题或程序本身的bug导致的。

尝试执行uptime
这个命令会显示系统的运行时间以及过去的1分钟、5分钟和15分钟的平均负载。如果这个命令能正常输出，说明系统本身读取loadavg没有问题。
查看系统日志（uptime正常失败，访问这个文件需要管理员权限）
/var/log/system.log
尝试重启设备
尝试重装sf
可以根据这些情况做一下验证。

2 replies

suk1M Oct 17, 2024
Author

尝试完出现以下问题，烦请协助解决一下，万分感谢！
Since the GPL-licensed package unidecode is not installed, using Python's unicodedata package which yields worse results.
The version of SecretFlow: 1.9.0b2
Traceback (most recent call last):
File "/Users/zyl/Workspace/pycharm/temp01/risk_control.py", line 28, in
spu = sf.SPU(sf.utils.testing.cluster_def(['alice', 'bob']))
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/spu.py", line 1549, in init
self.init()
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/spu.py", line 1557, in init
.remote(
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/memory_api.py", line 89, in remote
mem_actor_handle.execute_impl(cls_args, cls_kwargs)
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/memory_actor.py", line 53, in execute_impl
self._actor_handle = self._body(*cls_args, **cls_kwargs)
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/spu.py", line 377, in init
self.link = spu_link.create_brpc(desc, rank)
RuntimeError: what:
[external/yacl/yacl/link/context.cc:195] connect to mesh failed, failed to setup connection to rank=1
stacktrace:
#0 yacl::link::Context::ConnectToMesh()+0x16dbb9800
#1 pybind11::detail::argument_loader<>::call<>()+0x16bc0d4e0
#2 pybind11::cpp_function::initialize<>()::{lambda()#1}::__invoke()+0x16bc0d368
#3 pybind11::cpp_function::dispatcher()+0x16bbdf3fc
#4 cfunction_call+0x1043826dc
#5 _PyObject_MakeTpCall+0x10432f224
#6 call_function+0x104421618
#7 _PyEval_EvalFrameDefault+0x10441cf20
#8 _PyEval_Vector+0x104416320
#9 _PyObject_FastCallDictTstate+0x10432f4d8
#10 _PyObject_Call_Prepend+0x1043300dc
#11 slot_tp_init+0x1043a6f8c
#12 type_call+0x10439f954
#13 _PyObject_Call+0x10432fc38
#14 _PyEval_EvalFrameDefault+0x10441d718
#15 _PyEval_Vector+0x104416320

2024-10-17 09:41:20.817 [warning] [channel.h:~Channel:165] Channel destructor is called before WaitLinkTaskFinish, try stop send thread

Process finished with exit code 1

代码如下：

suk1M Oct 17, 2024
Author

// Check the version of your SecretFlow
print('The version of SecretFlow: {}'.format(sf.version))

// sf.shutdown()
// sf.init(['alice', 'bob'], address='local')
sf.init(['alice', 'bob'], debug_mode=True,)
alice, bob = sf.PYU('alice'), sf.PYU('bob')
spu = sf.SPU(sf.utils.testing.cluster_def(['alice', 'bob']))

wangzul · 2024-10-17T06:18:45Z

wangzul
Oct 17, 2024
Collaborator

如果代码中有spu相关内容，由于spu的运行模式和同步模式不兼容，debug模式使用pyu进行了功能模拟，请务必使用simulation模式进行验证
参考官网文档

3 replies

suk1M Oct 21, 2024
Author

目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

RayActorError Traceback (most recent call last)
Cell In[13], line 5
2 from secretflow.preprocessing.binning.vert_bin_substitution import VertBinSubstitution
4 binning = VertWoeBinning(spu)
----> 5 bin_rules = binning.binning(
6 vdf,
7 binning_method="chimerge",
8 bin_num=4,
9 bin_names={alice: [], bob: ["duration"]},
10 label_name="y",
11 )
13 woe_sub = VertBinSubstitution()
14 vdf, _ = woe_sub.substitution(vdf, bin_rules)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning.py:221, in VertWoeBinning.binning(self, vdata, binning_method, bin_num, bin_names, label_name, positive_label, chimerge_init_bins, chimerge_target_bins, chimerge_target_pvalue, audit_log_path)
216 label, label_holder_report = label_holder_worker.label_holder_work(
217 vdata.partitions[label_holder_device].data
218 )
220 if isinstance(self.secure_device, SPU):
--> 221 secure_label = label.to(self.secure_device)
222 elif isinstance(self.secure_device, HEU):
223 secure_label = label.to(
224 self.secure_device,
225 HEUMoveConfig(heu_audit_log=label_holder_audit_log_path),
226 )

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/base.py:70, in DeviceObject.to(self, device, *args, **kwargs)
60 def to(self, device: Device, *args, **kwargs):
61 """Device object conversion.
62
63 Args:
(...)
68 DeviceObject: Target device object.
69 """
---> 70 return dispatch(_name_of_to(device.device_type), self, device, *args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:111, in dispatch(name, self, *args, **kwargs)
101 def dispatch(name: str, self, *args, **kwargs):
102 """Dispatch device kernel.
103
104 Args:
(...)
109 Kernel execution result.
110 """
--> 111 return _registrar.dispatch(self.device_type, name, self, *args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:80, in Registrar.dispatch(self, device_type, name, *args, **kwargs)
78 if name not in self._ops[device_type]:
79 raise KeyError(f'device: {device_type}, op: {name} not registered')
---> 80 return self._ops[device_type][name](*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/kernels/pyu.py:76, in pyu_to_spu(self, spu, spu_vis)
73 ret = io.make_shares(data, vtype)
74 return ret
---> 76 shares_chunk_count = self.device(get_shares_chunk_count)(
77 self.data, spu.conf, spu.world_size, vtype
78 )
79 shares_chunk_count = sfd.get(shares_chunk_count.data)
81 meta, io_info, *shares_chunk = self.device(
82 run_spu_io, num_returns=(2 + shares_chunk_count * spu.world_size)
83 )(self.data, spu.conf, spu.world_size, vtype)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/pyu.py:102, in PYU.call..wrapper(*args, **kwargs)
96 args_, kwargs_ = jax.tree_util.tree_map(
97 lambda arg: try_get_data(arg, self), (args, kwargs)
98 )
100 _num_returns = check_num_returns(fn) if num_returns is None else num_returns
101 data = (
--> 102 sfd.remote(self.run)
103 .party(self.party)
104 .options(num_returns=num_returns)
105 .remote(fn, *args, **kwargs)
106 )
107 logging.debug(
108 (
109 f'PYU remote function: {fn}, num_returns={num_returns}, '
110 f'args len: {len(args)}, kwargs len: {len(kwargs)}.'
111 )
112 )
113 if _num_returns == 1:

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/remote_function.py:246, in RemoteFunction.options..FuncWrapper.remote(self, *args, **kwargs)
245 def remote(self, *args, **kwargs):
--> 246 return func_cls._remote(args=args, kwargs=kwargs, **updated_options)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:225, in RemoteFunctionWrapper._remote(self, *args, **kwargs)
224 def _remote(self, *args, **kwargs):
--> 225 args, kwargs = _resolve_args(*args, **kwargs)
226 return super()._remote(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:215, in _resolve_args(*args, **kwargs)
210 arg_flat, arg_tree = jax.tree_util.tree_flatten((args, kwargs))
211 refs = {

212     pos: arg for pos, arg in enumerate(arg_flat) if isinstance(arg, ray.ObjectRef)
213 }

--> 215 actual_vals = ray.get(list(refs.values()))
216 for pos, actual_val in zip(refs.keys(), actual_vals):
217 arg_flat[pos] = actual_val

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/auto_init_hook.py:22, in wrap_auto_init..auto_init_wrapper(*args, **kwargs)
19 @wraps(fn)
20 def auto_init_wrapper(*args, **kwargs):
21 auto_init_ray()
---> 22 return fn(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/client_mode_hook.py:103, in client_mode_hook..wrapper(*args, **kwargs)
101 if func.name != "init" or is_client_mode_enabled_by_default:
102 return getattr(ray, func.name)(*args, **kwargs)
--> 103 return func(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/worker.py:2626, in get(object_refs, timeout)
2624 raise value.as_instanceof_cause()
2625 else:
-> 2626 raise value
2628 if is_individual_id:
2629 values = values[0]

RayActorError: The actor died because of an error raised in its creation task, ray::ActorVertWoeBinningPyuWorker.init() (pid=89872, ip=127.0.0.1, actor_id=c804bf10133d7b03ea8e20b901000000, repr=<secretflow.device.proxy.ActorVertWoeBinningPyuWorker object at 0x16a717a60>)
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning_pyu.py", line 50, in init
data_columns = data.column_names
File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/pandas/core/generic.py", line 5902, in getattr
return object.getattribute(self, name)
AttributeError: 'DataFrame' object has no attribute 'column_names'

suk1M Oct 21, 2024
Author

wangzul Oct 21, 2024
Collaborator

目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

RayActorError Traceback (most recent call last) Cell In[13], line 5 2 from secretflow.preprocessing.binning.vert_bin_substitution import VertBinSubstitution 4 binning = VertWoeBinning(spu) ----> 5 bin_rules = binning.binning( 6 vdf, 7 binning_method="chimerge", 8 bin_num=4, 9 bin_names={alice: [], bob: ["duration"]}, 10 label_name="y", 11 ) 13 woe_sub = VertBinSubstitution() 14 vdf, _ = woe_sub.substitution(vdf, bin_rules)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning.py:221, in VertWoeBinning.binning(self, vdata, binning_method, bin_num, bin_names, label_name, positive_label, chimerge_init_bins, chimerge_target_bins, chimerge_target_pvalue, audit_log_path) 216 label, label_holder_report = label_holder_worker.label_holder_work( 217 vdata.partitions[label_holder_device].data 218 ) 220 if isinstance(self.secure_device, SPU): --> 221 secure_label = label.to(self.secure_device) 222 elif isinstance(self.secure_device, HEU): 223 secure_label = label.to( 224 self.secure_device, 225 HEUMoveConfig(heu_audit_log=label_holder_audit_log_path), 226 )

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/base.py:70, in DeviceObject.to(self, device, *args, **kwargs) 60 def to(self, device: Device, *args, **kwargs): 61 """Device object conversion. 62 63 Args: (...) 68 DeviceObject: Target device object. 69 """ ---> 70 return dispatch(_name_of_to(device.device_type), self, device, *args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:111, in dispatch(name, self, *args, **kwargs) 101 def dispatch(name: str, self, *args, **kwargs): 102 """Dispatch device kernel. 103 104 Args: (...) 109 Kernel execution result. 110 """ --> 111 return _registrar.dispatch(self.device_type, name, self, *args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:80, in Registrar.dispatch(self, device_type, name, *args, **kwargs) 78 if name not in self._ops[device_type]: 79 raise KeyError(f'device: {device_type}, op: {name} not registered') ---> 80 return self._ops[device_type][name](*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/kernels/pyu.py:76, in pyu_to_spu(self, spu, spu_vis) 73 ret = io.make_shares(data, vtype) 74 return ret ---> 76 shares_chunk_count = self.device(get_shares_chunk_count)( 77 self.data, spu.conf, spu.world_size, vtype 78 ) 79 shares_chunk_count = sfd.get(shares_chunk_count.data) 81 meta, io_info, *shares_chunk = self.device( 82 run_spu_io, num_returns=(2 + shares_chunk_count * spu.world_size) 83 )(self.data, spu.conf, spu.world_size, vtype)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/pyu.py:102, in PYU.call..wrapper(*args, **kwargs) 96 args_, kwargs_ = jax.tree_util.tree_map( 97 lambda arg: try_get_data(arg, self), (args, kwargs) 98 ) 100 _num_returns = check_num_returns(fn) if num_returns is None else num_returns 101 data = ( --> 102 sfd.remote(self.run) 103 .party(self.party) 104 .options(num_returns=num_returns) 105 .remote(fn, *args, **kwargs) 106 ) 107 logging.debug( 108 ( 109 f'PYU remote function: {fn}, num_returns={num_returns}, ' 110 f'args len: {len(args)}, kwargs len: {len(kwargs)}.' 111 ) 112 ) 113 if _num_returns == 1:

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/remote_function.py:246, in RemoteFunction.options..FuncWrapper.remote(self, *args, **kwargs) 245 def remote(self, *args, **kwargs): --> 246 return func_cls._remote(args=args, kwargs=kwargs, **updated_options)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:225, in RemoteFunctionWrapper._remote(self, *args, **kwargs) 224 def _remote(self, *args, **kwargs): --> 225 args, kwargs = _resolve_args(*args, **kwargs) 226 return super()._remote(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:215, in _resolve_args(*args, **kwargs) 210 arg_flat, arg_tree = jax.tree_util.tree_flatten((args, kwargs)) 211 refs = {
212     pos: arg for pos, arg in enumerate(arg_flat) if isinstance(arg, ray.ObjectRef)
213 }
--> 215 actual_vals = ray.get(list(refs.values())) 216 for pos, actual_val in zip(refs.keys(), actual_vals): 217 arg_flat[pos] = actual_val

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/auto_init_hook.py:22, in wrap_auto_init..auto_init_wrapper(*args, **kwargs) 19 @wraps(fn) 20 def auto_init_wrapper(*args, **kwargs): 21 auto_init_ray() ---> 22 return fn(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/client_mode_hook.py:103, in client_mode_hook..wrapper(*args, **kwargs) 101 if func.name != "init" or is_client_mode_enabled_by_default: 102 return getattr(ray, func.name)(*args, **kwargs) --> 103 return func(*args, **kwargs)

File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/worker.py:2626, in get(object_refs, timeout) 2624 raise value.as_instanceof_cause() 2625 else: -> 2626 raise value 2628 if is_individual_id: 2629 values = values[0]

RayActorError: The actor died because of an error raised in its creation task, ray::ActorVertWoeBinningPyuWorker.init() (pid=89872, ip=127.0.0.1, actor_id=c804bf10133d7b03ea8e20b901000000, repr=<secretflow.device.proxy.ActorVertWoeBinningPyuWorker object at 0x16a717a60>) File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning_pyu.py", line 50, in init data_columns = data.column_names File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/pandas/core/generic.py", line 5902, in getattr return object.getattribute(self, name) AttributeError: 'DataFrame' object has no attribute 'column_names'

运行代码发一下。

suk1M · 2024-10-23T01:52:52Z

suk1M
Oct 23, 2024
Author

运行代码如上，烦请帮忙看看，谢谢！

…

2024年10月21日 14:53，wangzul ***@***.***> 写道：目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下： RayActorError Traceback (most recent call last) Cell In[13], line 5 2 from secretflow.preprocessing.binning.vert_bin_substitution import VertBinSubstitution 4 binning = VertWoeBinning(spu) ----> 5 bin_rules = binning.binning( 6 vdf, 7 binning_method="chimerge", 8 bin_num=4, 9 bin_names={alice: [], bob: ["duration"]}, 10 label_name="y", 11 ) 13 woe_sub = VertBinSubstitution() 14 vdf, _ = woe_sub.substitution(vdf, bin_rules) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning.py:221, in VertWoeBinning.binning(self, vdata, binning_method, bin_num, bin_names, label_name, positive_label, chimerge_init_bins, chimerge_target_bins, chimerge_target_pvalue, audit_log_path) 216 label, label_holder_report = label_holder_worker.label_holder_work( 217 vdata.partitions[label_holder_device].data 218 ) 220 if isinstance(self.secure_device, SPU): --> 221 secure_label = label.to(self.secure_device) 222 elif isinstance(self.secure_device, HEU): 223 secure_label = label.to( 224 self.secure_device, 225 HEUMoveConfig(heu_audit_log=label_holder_audit_log_path), 226 ) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/base.py:70, in DeviceObject.to(self, device, *args, **kwargs) 60 def to(self, device: Device, *args, **kwargs): 61 """Device object conversion. 62 63 Args: (...) 68 DeviceObject: Target device object. 69 """ ---> 70 return dispatch(_name_of_to(device.device_type), self, device, *args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:111, in dispatch(name, self, *args, **kwargs) 101 def dispatch(name: str, self, *args, **kwargs): 102 """Dispatch device kernel. 103 104 Args: (...) 109 Kernel execution result. 110 """ --> 111 return _registrar.dispatch(self.device_type, name, self, *args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/register.py:80, in Registrar.dispatch(self, device_type, name, *args, **kwargs) 78 if name not in self._ops[device_type]: 79 raise KeyError(f'device: {device_type}, op: {name} not registered') ---> 80 return self._ops[device_type][name](*args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/kernels/pyu.py:76, in pyu_to_spu(self, spu, spu_vis) 73 ret = io.make_shares(data, vtype) 74 return ret ---> 76 shares_chunk_count = self.device(get_shares_chunk_count)( 77 self.data, spu.conf, spu.world_size, vtype 78 ) 79 shares_chunk_count = sfd.get(shares_chunk_count.data) 81 meta, io_info, *shares_chunk = self.device( 82 run_spu_io, num_returns=(2 + shares_chunk_count * spu.world_size) 83 )(self.data, spu.conf, spu.world_size, vtype) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/device/device/pyu.py:102, in PYU.call..wrapper(*args, **kwargs) 96 args_, kwargs_ = jax.tree_util.tree_map( 97 lambda arg: try_get_data(arg, self), (args, kwargs) 98 ) 100 _num_returns = check_num_returns(fn) if num_returns is None else num_returns 101 data = ( --> 102 sfd.remote(self.run) 103 .party(self.party) 104 .options(num_returns=num_returns) 105 .remote(fn, *args, **kwargs) 106 ) 107 logging.debug( 108 ( 109 f'PYU remote function: {fn}, num_returns={num_returns}, ' 110 f'args len: {len(args)}, kwargs len: {len(kwargs)}.' 111 ) 112 ) 113 if _num_returns == 1: File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/remote_function.py:246, in RemoteFunction.options..FuncWrapper.remote(self, *args, **kwargs) 245 def remote(self, *args, **kwargs): --> 246 return func_cls._remote(args=args, kwargs=kwargs, **updated_options) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:225, in RemoteFunctionWrapper._remote(self, *args, **kwargs) 224 def _remote(self, *args, **kwargs): --> 225 args, kwargs = _resolve_args(*args, **kwargs) 226 return super()._remote(*args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/distributed/primitive.py:215, in _resolve_args(*args, **kwargs) 210 arg_flat, arg_tree = jax.tree_util.tree_flatten((args, kwargs)) 211 refs = { 212 pos: arg for pos, arg in enumerate(arg_flat) if isinstance(arg, ray.ObjectRef) 213 } --> 215 actual_vals = ray.get(list(refs.values())) 216 for pos, actual_val in zip(refs.keys(), actual_vals): 217 arg_flat[pos] = actual_val File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/auto_init_hook.py:22, in wrap_auto_init..auto_init_wrapper(*args, **kwargs) 19 @wraps <https://github.com/wraps>(fn) 20 def auto_init_wrapper(*args, **kwargs): 21 auto_init_ray() ---> 22 return fn(*args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/client_mode_hook.py:103, in client_mode_hook..wrapper(*args, **kwargs) 101 if func.name != "init" or is_client_mode_enabled_by_default: 102 return getattr(ray, func.name)(*args, **kwargs) --> 103 return func(*args, **kwargs) File ~/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/ray/_private/worker.py:2626, in get(object_refs, timeout) 2624 raise value.as_instanceof_cause() 2625 else: -> 2626 raise value 2628 if is_individual_id: 2629 values = values[0] RayActorError: The actor died because of an error raised in its creation task, ray::ActorVertWoeBinningPyuWorker.init() (pid=89872, ip=127.0.0.1, actor_id=c804bf10133d7b03ea8e20b901000000, repr=<secretflow.device.proxy.ActorVertWoeBinningPyuWorker object at 0x16a717a60>) File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/secretflow/preprocessing/binning/vert_woe_binning_pyu.py", line 50, in init data_columns = data.column_names File "/Users/zyl/opt/anaconda3/envs/sf01/lib/python3.10/site-packages/pandas/core/generic.py", line 5902, in getattr return object.getattribute(self, name) AttributeError: 'DataFrame' object has no attribute 'column_names' 运行代码发一下。 — Reply to this email directly, view it on GitHub <#1535 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHJUKPVRMZVKX3VHRNQP63LZ4SQHJAVCNFSM6AAAAABP2HIK7KVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTCMBQGEZTOOA>. You are receiving this because you authored the thread.

0 replies

wangzul · 2024-10-23T02:14:33Z

wangzul
Oct 23, 2024
Collaborator

你的意思是现在在跑
【隐语SecretFlow金融风控全链路能力展示】示例代码并且没有使用debug_mode模式然后出现的错误。

0 replies

suk1M · 2024-10-23T02:38:24Z

suk1M
Oct 23, 2024
Author

是的发自我的 iPhone在 2024年10月23日，10:14，wangzul ***@***.***> 写道：你的意思是现在在跑【隐语SecretFlow金融风控全链路能力展示】示例代码并且没有使用debug_mode模式然后出现的错误。 —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>

1 reply

wangzul Oct 24, 2024
Collaborator

是的发自我的 iPhone在 2024年10月23日，10:14，wangzul @.> 写道：你的意思是现在在跑【隐语SecretFlow金融风控全链路能力展示】示例代码并且没有使用debug_mode模式然后出现的错误。 —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: @.>

执行一下pip list 我看一下环境

suk1M · 2024-10-24T12:48:41Z

suk1M
Oct 24, 2024
Author

请查收，谢谢！

2024年10月24日 16:02，wangzul ***@***.***> 写道：是的发自我的 iPhone在 2024年10月23日，10:14，wangzul @.> 写道：你的意思是现在在跑【隐语SecretFlow金融风控全链路能力展示】示例代码并且没有使用debug_mode模式然后出现的错误。 —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: @.> 执行一下pip list 我看一下环境 — Reply to this email directly, view it on GitHub <#1535 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHJUKPRB5462YQRYANQZR63Z5CSSBAVCNFSM6AAAAABP2HIK7KVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTCMBTG43TSMQ>. You are receiving this because you authored the thread.

(sf01) ***@***.*** temp01 % pip list Package Version ------------------------- -------------- absl-py 2.1.0 aiobotocore 2.15.2 aiohappyeyeballs 2.4.3 aiohttp 3.10.10 aioitertools 0.12.0 aiosignal 1.3.1 anyio 4.6.0 appnope 0.1.4 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0 arrow 1.3.0 asttokens 2.4.1 astunparse 1.6.3 async-lru 2.0.4 async-timeout 4.0.3 attrs 24.2.0 Babel 2.14.0 beautifulsoup4 4.12.3 bleach 6.1.0 botocore 1.35.36 Brotli 1.1.0 cached-property 1.5.2 cachetools 5.5.0 certifi 2024.8.30 cffi 1.17.1 charset-normalizer 3.4.0 clean-text 0.6.0 click 8.1.7 cloudpickle 3.1.0 comm 0.2.2 contourpy 1.3.0 cycler 0.12.1 debugpy 1.8.7 decorator 5.1.1 defusedxml 0.7.1 dill 0.3.9 duckdb 1.0.0 emoji 1.7.0 entrypoints 0.4 exceptiongroup 1.2.2 executing 2.1.0 fastjsonschema 2.20.0 filelock 3.16.1 flatbuffers 2.0.7 fonttools 4.54.1 fqdn 1.5.1 frozenlist 1.4.1 fsspec 2024.2.0 ftfy 6.3.0 gast 0.4.0 google-auth 2.35.0 google-auth-oauthlib 1.0.0 google-pasta 0.2.0 grpcio 1.56.2 h11 0.14.0 h2 4.1.0 h5py 3.12.1 hpack 4.0.0 httpcore 1.0.6 httpx 0.27.2 hyperframe 6.0.1 idna 3.10 importlib_metadata 8.5.0 importlib_resources 6.4.5 interconnection 0.2.0.dev0 ipykernel 6.29.5 ipython 8.28.0 ipywidgets 8.1.5 isoduration 20.11.0 jax 0.4.26 jaxlib 0.4.26 jedi 0.19.1 Jinja2 3.1.4 jmespath 1.0.1 joblib 1.4.2 json5 0.9.25 jsonpointer 3.0.0 jsonschema 4.23.0 jsonschema-specifications 2024.10.1 jupyter 1.1.1 jupyter_client 8.6.3 jupyter-console 6.6.3 jupyter_core 5.7.2 jupyter-events 0.10.0 jupyter-lsp 2.2.5 jupyter_server 2.14.2 jupyter_server_terminals 0.5.3 jupyterlab 4.2.5 jupyterlab_pygments 0.3.0 jupyterlab_server 2.27.3 jupyterlab_widgets 3.0.13 keras 2.12.0 kiwisolver 1.4.7 kuscia 0.0.3b0 libclang 18.1.1 lightning-utilities 0.11.7 llvmlite 0.40.1 Markdown 3.7 MarkupSafe 3.0.1 matplotlib 3.9.2 matplotlib-inline 0.1.7 mistune 3.0.2 ml_dtypes 0.5.0 mpmath 1.3.0 msgpack 1.1.0 multidict 6.1.0 multiprocess 0.70.17 munkres 1.1.4 nbclient 0.10.0 nbconvert 7.16.4 nbformat 5.10.4 nest_asyncio 1.6.0 networkx 2.8.8 notebook 7.2.2 notebook_shim 0.2.4 numba 0.57.0 numpy 1.23.5 oauthlib 3.2.2 onnx 1.16.0 opt_einsum 3.4.0 overrides 7.7.0 packaging 24.1 pandas 1.5.3 pandocfilters 1.5.0 parso 0.8.4 pexpect 4.9.0 pickleshare 0.7.5 pillow 10.4.0 pip 24.2 pkgutil_resolve_name 1.3.10 platformdirs 4.3.6 prometheus_client 0.21.0 prompt_toolkit 3.0.48 propcache 0.2.0 protobuf 4.25.5 psutil 6.0.0 ptyprocess 0.7.0 pure_eval 0.2.3 pyarrow 14.0.2 pyasn1 0.6.1 pyasn1_modules 0.4.1 pycparser 2.22 Pygments 2.18.0 pyobjc-core 10.3.1 pyobjc-framework-Cocoa 10.3.1 pyparsing 3.1.4 PySocks 1.7.1 python-dateutil 2.9.0 python-json-logger 2.0.7 pytz 2024.2 PyYAML 6.0.2 pyzmq 26.2.0 ray 2.9.3 referencing 0.35.1 requests 2.32.3 requests-oauthlib 2.0.0 rfc3339-validator 0.1.4 rfc3986-validator 0.1.1 rpds-py 0.20.0 rsa 4.9 s3fs 2024.2.0 scikit-learn 1.3.2 scipy 1.14.1 secretflow 1.9.0b2 secretflow-rayfed 0.2.1a2 secretflow-serving-lib 0.6.0b0 Send2Trash 1.8.3 setuptools 69.5.1 sf-heu 0.5.0b0 six 1.16.0 sniffio 1.3.1 soupsieve 2.5 sparse 0.15.4 spu 0.9.2b0 sqlglot 25.5.1 stack-data 0.6.2 sympy 1.13.3 tabulate 0.9.0 tensorboard 2.12.3 tensorboard-data-server 0.7.2 tensorflow-estimator 2.12.0 tensorflow-macos 2.12.0 termcolor 2.5.0 terminado 0.18.1 tf2onnx 1.14.0 threadpoolctl 3.5.0 tinycss2 1.3.0 tomli 2.0.2 torch 2.1.2 torchaudio 2.1.2 torchmetrics 1.3.2 torchvision 0.16.2 tornado 6.4.1 tqdm 4.66.5 traitlets 5.14.3 types-python-dateutil 2.9.0.20241003 typing_extensions 4.12.2 typing-utils 0.1.0 unicodedata2 15.1.0 uri-template 1.3.0 urllib3 2.2.3 validator.py 1.3.0 wcwidth 0.2.13 webcolors 24.8.0 webencodings 0.5.1 websocket-client 1.8.0 Werkzeug 3.0.4 wheel 0.44.0 widgetsnbextension 4.0.13 wrapt 1.14.1 xgboost 1.7.5 yarl 1.15.0 zipp 3.20.2 zstandard 0.23.0 (sf01) ***@***.*** temp01 %

0 replies

wangzul · 2024-10-28T02:16:58Z

wangzul
Oct 28, 2024
Collaborator

建议先使用secretflow 1.8.0b0，当前使用的示例代码比较老旧，需要更新。

0 replies

suk1M · 2024-10-28T02:30:03Z

suk1M
Oct 28, 2024
Author

我现在用的1.9.0b2 ，版本不老旧吧 = =

…

2024年10月28日 10:17，wangzul ***@***.***> 写道：建议先使用secretflow 1.8.0b0，当前使用的示例代码比较老旧，需要更新。 — Reply to this email directly, view it on GitHub <#1535 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHJUKPTMIDFR2EOUA3WB3ADZ5WNC7AVCNFSM6AAAAABP2HIK7KVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTCMBWHE4TEMI>. You are receiving this because you authored the thread.

1 reply

wangzul Oct 28, 2024
Collaborator

我现在用的1.9.0b2 ，版本不老旧吧 = =
…
2024年10月28日 10:17，wangzul @.***> 写道：建议先使用secretflow 1.8.0b0，当前使用的示例代码比较老旧，需要更新。 — Reply to this email directly, view it on GitHub <#1535 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AHJUKPTMIDFR2EOUA3WB3ADZ5WNC7AVCNFSM6AAAAABP2HIK7KVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTCMBWHE4TEMI. You are receiving this because you authored the thread.

错误提示是：AttributeError: 'DataFrame' object has no attribute 'column_names'
在secretflow=1.9版本中使用的是 data=pyarrow.Table
在secretflow=1.8版本中使用的是 data=pandas.DataFrame
在1.9版本中对于组件部分改动较大，按照现有的示例代码的运行会出现兼容性问题，因此建议先使用1.8版本运行。
后续会修复这个问题。

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Mac M1芯片 secretflow1.9.0b2报错 #1535

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目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

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SecretFlow

Mac M1芯片 secretflow1.9.0b2报错 #1535

suk1M Oct 12, 2024

Replies: 8 comments · 7 replies

wangzul Oct 14, 2024 Collaborator

suk1M Oct 17, 2024 Author

suk1M Oct 17, 2024 Author

wangzul Oct 17, 2024 Collaborator

suk1M Oct 21, 2024 Author

目前继续执行demo仍有报错，我自己查了一下 说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

suk1M Oct 21, 2024 Author

wangzul Oct 21, 2024 Collaborator

目前继续执行demo仍有报错，我自己查了一下 说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

suk1M Oct 23, 2024 Author

wangzul Oct 23, 2024 Collaborator

suk1M Oct 23, 2024 Author

wangzul Oct 24, 2024 Collaborator

suk1M Oct 24, 2024 Author

wangzul Oct 28, 2024 Collaborator

suk1M Oct 28, 2024 Author

wangzul Oct 28, 2024 Collaborator

suk1M
Oct 12, 2024

Replies: 8 comments 7 replies

wangzul
Oct 14, 2024
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suk1M Oct 17, 2024
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suk1M Oct 17, 2024
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wangzul
Oct 17, 2024
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suk1M Oct 21, 2024
Author

目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

suk1M Oct 21, 2024
Author

wangzul Oct 21, 2024
Collaborator

目前继续执行demo仍有报错，我自己查了一下说是vdf参数的数据类型不对，烦请协助查看，谢谢！报错信息如下：

suk1M
Oct 23, 2024
Author

wangzul
Oct 23, 2024
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suk1M
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wangzul Oct 24, 2024
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suk1M
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wangzul Oct 28, 2024
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