Closed tacchinotacchi closed 4 years ago
I'm running this code
import fastai2.text.models as models config = models.awd_lstm_clas_config.copy() update = { "emb_sz": 300, "n_layers": 1, "bidir": True, } config.update(update) model = models.get_text_classifier(models.AWD_LSTM, len(vocab), 2, config=config, lin_ftrs=[400])
It works fine at commit https://github.com/fastai/fastai_dev/commit/03e59c4e29e687adc29ae8619d59ea96e8f9fde7, but I get this error on master:
I'm getting this error while in models.get_text_classifier:
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-5-faed1ecbfc39> in <module> 20 config.update(update) 21 ---> 22 model = models.get_text_classifier(models.AWD_LSTM, len(vocab), 2, config=config, lin_ftrs=[400]) ~/Documents/fastai_dev/fastai2/text/models/core.py in get_text_classifier(arch, vocab_sz, n_class, bptt, config, drop_mult, lin_ftrs, ps, pad_idx) 129 init = config.pop('init') if 'init' in config else None 130 encoder = SentenceEncoder(bptt, arch(vocab_sz, **config), pad_idx=pad_idx) --> 131 model = SequentialRNN(encoder, PoolingLinearClassifier(layers, ps)) 132 return model if init is None else model.apply(init) ~/Documents/fastai_dev/fastai2/core/foundation.py in __call__(cls, *args, **kwargs) 28 if type(res)==cls: 29 if hasattr(res,'__pre_init__'): res.__pre_init__(*args,**kwargs) ---> 30 res.__init__(*args,**kwargs) 31 if hasattr(res,'__post_init__'): res.__post_init__(*args,**kwargs) 32 return res ~/Documents/fastai_dev/fastai2/text/models/core.py in __init__(self, dims, ps) 106 if len(ps) != len(dims)-1: raise ValueError("Number of layers and dropout values do not match.") 107 acts = [nn.ReLU(inplace=True)] * (len(dims) - 2) + [None] --> 108 layers = [BnDropLin(i, o, p=p, act=a) for i,o,p,a in zip(dims[:-1], dims[1:], ps, acts)] 109 self.layers = nn.Sequential(*layers) 110 ~/Documents/fastai_dev/fastai2/text/models/core.py in <listcomp>(.0) 106 if len(ps) != len(dims)-1: raise ValueError("Number of layers and dropout values do not match.") 107 acts = [nn.ReLU(inplace=True)] * (len(dims) - 2) + [None] --> 108 layers = [BnDropLin(i, o, p=p, act=a) for i,o,p,a in zip(dims[:-1], dims[1:], ps, acts)] 109 self.layers = nn.Sequential(*layers) 110 NameError: name 'BnDropLin' is not defined
EDIT: my bad, I was pulling from my own fork instead of this repo and I missed the fix
I'm running this code
It works fine at commit https://github.com/fastai/fastai_dev/commit/03e59c4e29e687adc29ae8619d59ea96e8f9fde7, but I get this error on master:
I'm getting this error while in models.get_text_classifier:
EDIT: my bad, I was pulling from my own fork instead of this repo and I missed the fix