This fixes the issue but unfortunately breaks show called through show_batch
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AttributeError Traceback (most recent call last)
<ipython-input-16-4bc6a3c4e872> in <module>
----> 1 dbch.show_batch(max_n=9)
~/work/fastai_dev/dev/local/data/core.py in show_batch(self, b, max_n, ctxs, **kwargs)
82 "Show `b` (defaults to `one_batch`), a list of lists of pipeline outputs (i.e. output of a `DataLoader`)"
83 if b is None: b = self.one_batch()
---> 84 show_batch(*self._pre_show_batch(b, max_n=max_n, **kwargs), ctxs=ctxs, max_n=max_n, **kwargs)
85
86 def show_results(self, b, out, max_n=10, ctxs=None, **kwargs):
~/work/fastai_dev/dev/local/dispatch.py in __call__(self, *args, **kwargs)
95 if not f: return args[0]
96 if self.inst is not None: f = types.MethodType(f, self.inst)
---> 97 return f(*args, **kwargs)
98
99 def __get__(self, inst, owner):
~/work/fastai_dev/dev/local/vision/core.py in show_batch(x, y, its, ctxs, max_n, rows, cols, figsize, **kwargs)
245 def show_batch(x:TensorImage, y, its, ctxs=None, max_n=10, rows=None, cols=None, figsize=None, **kwargs):
246 if ctxs is None: ctxs = _get_grid(min(len(its), max_n), rows=rows, cols=cols, figsize=figsize)
--> 247 ctxs = default_show_batch(x, y, its, ctxs=ctxs, max_n=max_n, **kwargs)
248 return ctxs
249
~/work/fastai_dev/dev/local/data/core.py in default_show_batch(x, y, its, ctxs, max_n, **kwargs)
14 if ctxs is None: ctxs = Inf.nones
15 for i in range(1 if y is None else 2):
---> 16 ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(its.itemgot(i),ctxs,range(max_n))]
17 return ctxs
18
~/work/fastai_dev/dev/local/data/core.py in <listcomp>(.0)
14 if ctxs is None: ctxs = Inf.nones
15 for i in range(1 if y is None else 2):
---> 16 ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(its.itemgot(i),ctxs,range(max_n))]
17 return ctxs
18
~/work/fastai_dev/dev/local/core.py in __getattr__(self, k)
204 def __getattr__(self,k):
205 if k not in ('_xtra',self._default) and (self._xtra is None or k in self._xtra): return getattr(getattr(self,self._default), k)
--> 206 raise AttributeError(k)
207 def __dir__(self): return custom_dir(self, self._xtra)
208 def __setstate__(self,data): self.__dict__.update(data)
AttributeError: show
This fixes the issue but unfortunately breaks
show
called throughshow_batch