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Fix embeddings from sentence-transformers (type cast & gpu flags) (#121)

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Malte Pietsch 2020-05-26 16:43:05 +02:00 committed by GitHub
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1 changed files with 6 additions and 2 deletions
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haystack/retriever/elasticsearch.py
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@ -83,7 +83,11 @@ class EmbeddingRetriever(BaseRetriever):
# pretrained embedding models coming from: https://github.com/UKPLab/sentence-transformers#pretrained-models # pretrained embedding models coming from: https://github.com/UKPLab/sentence-transformers#pretrained-models
# e.g. 'roberta-base-nli-stsb-mean-tokens' # e.g. 'roberta-base-nli-stsb-mean-tokens'
self.embedding_model = SentenceTransformer(embedding_model) if gpu:
device = "gpu"
else:
device = "cpu"
self.embedding_model = SentenceTransformer(embedding_model, device=device)
else: else:
raise NotImplementedError raise NotImplementedError
@ -111,5 +115,5 @@ class EmbeddingRetriever(BaseRetriever):
elif self.model_format == "sentence_transformers": elif self.model_format == "sentence_transformers":
# text is single string, sentence-transformers needs a list of strings # text is single string, sentence-transformers needs a list of strings
res = self.embedding_model.encode(texts) # get back list of numpy embedding vectors res = self.embedding_model.encode(texts) # get back list of numpy embedding vectors
emb = [list(r) for r in res] #cast from numpy emb = [list(r.astype('float64')) for r in res] #cast from numpy
return emb return emb