7a4f4148317f7274c0c88095c037e93f95b1d00d,python/baseline/pytorch/tagger/model.py,RNNTaggerModel,_init_embed,#RNNTaggerModel#Any#,32

Before Change

        input_sz = 0
        for k, embedding in embeddings.items():
            DefaultType = PyTorchCharConvEmbeddings if k == "char" else PyTorchWordEmbeddings
            self.embeddings[k] = pytorch_embeddings(embeddings[k], DefaultType)
            input_sz += self.embeddings[k].get_dsz()
        return input_sz

    def _embed(self, input):

After Change

        input_sz = 0
        for k, embedding in embeddings.items():
            self.embeddings[k] = embedding
            input_sz += embedding.get_dsz()
        return input_sz

    def _embed(self, input):
        all_embeddings = []

Instances