I’m running into the error Boolean value of Tensor with no values is ambiguous while using TensorBoardCallback. This was happening even with a fresh install of the packages using pip (first encountered this while using the editable version).
Here’s the error
RuntimeError Traceback (most recent call last)
/tmp/ipykernel_13950/1465911307.py in <module>
1 cbs = [TensorBoardCallback(projector=True)]
----> 2 learn.fit_one_cycle(3, cbs=cbs)
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/callback/schedule.py in fit_one_cycle(self, n_epoch, lr_max, div, div_final, pct_start, wd, moms, cbs, reset_opt)
111 scheds = {'lr': combined_cos(pct_start, lr_max/div, lr_max, lr_max/div_final),
112 'mom': combined_cos(pct_start, *(self.moms if moms is None else moms))}
--> 113 self.fit(n_epoch, cbs=ParamScheduler(scheds)+L(cbs), reset_opt=reset_opt, wd=wd)
114
115 # Cell
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
219 self.opt.set_hypers(lr=self.lr if lr is None else lr)
220 self.n_epoch = n_epoch
--> 221 self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)
222
223 def _end_cleanup(self): self.dl,self.xb,self.yb,self.pred,self.loss = None,(None,),(None,),None,None
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
161
162 def _with_events(self, f, event_type, ex, final=noop):
--> 163 try: self(f'before_{event_type}'); f()
164 except ex: self(f'after_cancel_{event_type}')
165 self(f'after_{event_type}'); final()
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/learner.py in __call__(self, event_name)
139
140 def ordered_cbs(self, event): return [cb for cb in self.cbs.sorted('order') if hasattr(cb, event)]
--> 141 def __call__(self, event_name): L(event_name).map(self._call_one)
142
143 def _call_one(self, event_name):
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastcore/foundation.py in map(self, f, gen, *args, **kwargs)
152 def range(cls, a, b=None, step=None): return cls(range_of(a, b=b, step=step))
153
--> 154 def map(self, f, *args, gen=False, **kwargs): return self._new(map_ex(self, f, *args, gen=gen, **kwargs))
155 def argwhere(self, f, negate=False, **kwargs): return self._new(argwhere(self, f, negate, **kwargs))
156 def argfirst(self, f, negate=False): return first(i for i,o in self.enumerate() if f(o))
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastcore/basics.py in map_ex(iterable, f, gen, *args, **kwargs)
664 res = map(g, iterable)
665 if gen: return res
--> 666 return list(res)
667
668 # Cell
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastcore/basics.py in __call__(self, *args, **kwargs)
649 if isinstance(v,_Arg): kwargs[k] = args.pop(v.i)
650 fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 651 return self.func(*fargs, **kwargs)
652
653 # Cell
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/learner.py in _call_one(self, event_name)
143 def _call_one(self, event_name):
144 if not hasattr(event, event_name): raise Exception(f'missing {event_name}')
--> 145 for cb in self.cbs.sorted('order'): cb(event_name)
146
147 def _bn_bias_state(self, with_bias): return norm_bias_params(self.model, with_bias).map(self.opt.state)
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/callback/core.py in __call__(self, event_name)
43 (self.run_valid and not getattr(self, 'training', False)))
44 res = None
---> 45 if self.run and _run: res = getattr(self, event_name, noop)()
46 if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit
47 return res
~/miniconda3/envs/tt/lib/python3.9/site-packages/fastai/callback/tensorboard.py in before_fit(self)
57 b = self.dls.one_batch()
58 self.learn._split(b)
---> 59 self.writer.add_graph(self.model, *self.xb)
60
61 def after_batch(self):
~/miniconda3/envs/tt/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py in add_graph(self, model, input_to_model, verbose)
725 if hasattr(model, 'forward'):
726 # A valid PyTorch model should have a 'forward' method
--> 727 self._get_file_writer().add_graph(graph(model, input_to_model, verbose))
728 else:
729 # Caffe2 models do not have the 'forward' method
~/miniconda3/envs/tt/lib/python3.9/site-packages/torch/utils/tensorboard/_pytorch_graph.py in graph(model, args, verbose)
292 raise e
293
--> 294 if verbose:
295 print(graph)
296 list_of_nodes = parse(graph, trace, args)
RuntimeError: Boolean value of Tensor with no values is ambiguous
This problem could also be on the pytorch side, and I noticed recent fixes in their source code for this file, but not sure if they were solving this exact problem.