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Hi, i got an error below when trying to run every tf1 models on tensorflow 1.4.
Do you know what's the problem is? perhaps my tensorflow version is not supported?
AttributeError Traceback (most recent call last)
<ipython-input-33-3c464690e82a> in <module>
4 train_sampler=train_sampler,
5 eval_samplers=[val_sampler,test_sampler],
----> 6 evaluators=[auc_evaluator])
~\.conda\envs\tf14\lib\site-packages\openrec\tf1\model_trainer.py in train(self, total_iter, eval_iter, save_iter, train_sampler, start_iter, eval_samplers, evaluators)
63 self._eval_manager = EvalManager(evaluators=evaluators)
64
---> 65 train_sampler.reset()
66 for sampler in eval_samplers:
67 sampler.reset()
~\.conda\envs\tf14\lib\site-packages\openrec\tf1\utils\samplers\sampler.py in reset(self)
49 runner = _Sampler(self._dataset, self._q, self._generate_batch)
50 runner.daemon = True
---> 51 runner.start()
52 self._runner_list.append(runner)
53 self._start = True
~\.conda\envs\tf14\lib\multiprocessing\process.py in start(self)
103 'daemonic processes are not allowed to have children'
104 _cleanup()
--> 105 self._popen = self._Popen(self)
106 self._sentinel = self._popen.sentinel
107 # Avoid a refcycle if the target function holds an indirect
~\.conda\envs\tf14\lib\multiprocessing\context.py in _Popen(process_obj)
221 @staticmethod
222 def _Popen(process_obj):
--> 223 return _default_context.get_context().Process._Popen(process_obj)
224
225 class DefaultContext(BaseContext):
~\.conda\envs\tf14\lib\multiprocessing\context.py in _Popen(process_obj)
320 def _Popen(process_obj):
321 from .popen_spawn_win32 import Popen
--> 322 return Popen(process_obj)
323
324 class SpawnContext(BaseContext):
~\.conda\envs\tf14\lib\multiprocessing\popen_spawn_win32.py in __init__(self, process_obj)
63 try:
64 reduction.dump(prep_data, to_child)
---> 65 reduction.dump(process_obj, to_child)
66 finally:
67 set_spawning_popen(None)
~\.conda\envs\tf14\lib\multiprocessing\reduction.py in dump(obj, file, protocol)
58 def dump(obj, file, protocol=None):
59 '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60 ForkingPickler(file, protocol).dump(obj)
61
62 #
AttributeError: Can't pickle local object 'RandomPairwiseSampler.<locals>.batch'
The text was updated successfully, but these errors were encountered:
Hi, i got an error below when trying to run every tf1 models on tensorflow 1.4.
Do you know what's the problem is? perhaps my tensorflow version is not supported?
The text was updated successfully, but these errors were encountered: