can somebody look at my notebook and help me to resolve the issue. AI_assistant_law | Kaggle
I am using blurr library which depends on fastai
following is error trace of learn.summary()
/tmp/ipykernel_36/2746549787.py in <module>
----> 1 learn.summary()
/opt/conda/lib/python3.7/site-packages/fastai/callback/hook.py in summary(self)
205 "Print a summary of the model, optimizer and loss function."
206 xb = self.dls.train.one_batch()[:getattr(self.dls.train, "n_inp", 1)]
--> 207 res = module_summary(self, *xb)
208 res += f"Optimizer used: {self.opt_func}\nLoss function: {self.loss_func}\n\n"
209 if self.opt is not None:
/opt/conda/lib/python3.7/site-packages/fastai/callback/hook.py in module_summary(learn, *xb)
173 # thus are not counted inside the summary
174 #TODO: find a way to have them counted in param number somehow
--> 175 infos = layer_info(learn, *xb)
176 n,bs = 76,find_bs(xb)
177 inp_sz = _print_shapes(apply(lambda x:x.shape, xb), bs)
/opt/conda/lib/python3.7/site-packages/fastai/callback/hook.py in layer_info(learn, *xb)
157 train_only_cbs = [cb for cb in learn.cbs if hasattr(cb, '_only_train_loop')]
158 with learn.removed_cbs(train_only_cbs), learn.no_logging(), learn as l:
--> 159 r = l.get_preds(dl=[batch], inner=True, reorder=False)
160 return h.stored
161
/opt/conda/lib/python3.7/site-packages/fastai/learner.py in get_preds(self, ds_idx, dl, with_input, with_decoded, with_loss, act, inner, reorder, cbs, **kwargs)
256 pred_i = 1 if with_input else 0
257 if res[pred_i] is not None:
--> 258 res[pred_i] = act(res[pred_i])
259 if with_decoded: res.insert(pred_i+2, getattr(self.loss_func, 'decodes', noop)(res[pred_i]))
260 if reorder and hasattr(dl, 'get_idxs'): res = nested_reorder(res, tensor(idxs).argsort())
/opt/conda/lib/python3.7/site-packages/blurr/modeling/question_answering.py in activation(self, outs)
77
78 def activation(self, outs):
---> 79 acts = [ self.loss_funcs[i].activation(o) for i, o in enumerate(outs) ]
80 return acts
81
/opt/conda/lib/python3.7/site-packages/blurr/modeling/question_answering.py in <listcomp>(.0)
77
78 def activation(self, outs):
---> 79 acts = [ self.loss_funcs[i].activation(o) for i, o in enumerate(outs) ]
80 return acts
81
/opt/conda/lib/python3.7/site-packages/fastai/losses.py in activation(self, x)
46 def __init__(self, *args, axis=-1, **kwargs): super().__init__(nn.CrossEntropyLoss, *args, axis=axis, **kwargs)
47 def decodes(self, x): return x.argmax(dim=self.axis)
---> 48 def activation(self, x): return F.softmax(x, dim=self.axis)
49
50 # Cell
/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py in softmax(input, dim, _stacklevel, dtype)
1677 dim = _get_softmax_dim("softmax", input.dim(), _stacklevel)
1678 if dtype is None:
-> 1679 ret = input.softmax(dim)
1680 else:
1681 ret = input.softmax(dim, dtype=dtype)
AttributeError: 'str' object has no attribute 'softmax' ```
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Spaces that allows someone to select a legal contract, one or more questions, and provide the answer.
