Tips:相比0.9,1.0的TextField有一个比较重要的改动就是as_tensor和batch_tensors输出的格式不再是Dict[str, torch.Tensor]这样的形式,而是嵌套的字典Dict[str, Dict[str, torch.Tensor]],其实也主要是为预训练模型准备的。 在0.9中预训练模型的索引类WordpieceIndexer核心的输出方法
) mktensor = torch.LongTensor tensor = mktensor( pad_sequence_to_length( val, padding_lengths[key], default_value=lambda: padding_value ) ) tensor_dict[key] = tensor return tensor_dict 最后我们看看使用这样的 indexer 的结果: { "text": { "token_indexer": { "token_ids": tensor([[27...
fromtypingimportIterator,List,Dict#在AllenNLP中,我们几乎所有内容都使用类型注释(type annotation)importtorchimporttorch.optimasoptimimportnumpyasnp#AllenNLP构建在PyTorch之上,因此我们可以自由使用它的代码。fromallennlp.dataimportInstancefromallennlp.data.fieldsimportTextField,SequenceLabelField#在AllenNLP中,我们将每个...
vocab:Vocabulary,embedder:TextFieldEmbedder,encoder:Seq2VecEncoder):super().__init__(vocab)self.embedder=embedderself.encoder=encodernum_labels=vocab.get_vocab_size("labels")self.classifier=torch.nn.Linear(encoder.get_output_dim(),num_labels)...
FeedForward是一个torch.nn.Module,它表示一个前馈神经网络。FeedForward 扩展了FromParams类,以便可以直接从配置文件配置层数、层宽和激活函数等选项: from typing import List, Union from allennlp.nn.activations import Activation class FeedForward(torch.nn.Module, FromParams): def __init__( self, input_...
importwarningsfromtypingimportDictimporttorchfromallennlp.dataimportToken,Vocabulary,TokenIndexer,Tokenizerfromallennlp.data.fieldsimportListField,TextFieldfromallennlp.data.token_indexersimport(SingleIdTokenIndexer,TokenCharactersIndexer,ELMoTokenCharactersIndexer,PretrainedTransformerIndexer,PretrainedTransformerMismatchedIndexe...
importwarningsfromtypingimportDictimporttorchfromallennlp.dataimportToken,Vocabulary,TokenIndexer,Tokenizerfromallennlp.data.fieldsimportListField,TextFieldfromallennlp.data.token_indexersimport(SingleIdTokenIndexer,TokenCharactersIndexer,ELMoTokenCharactersIndexer,PretrainedTransformerIndexer,PretrainedTransformerMismatchedIndexe...