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Use NumpyOps() to copy data to CPU

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Co-authored-by: Madeesh Kannan <shadeMe@users.noreply.github.com>
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Richard Hudson 2022-12-23 14:37:46 +01:00 committed by GitHub
parent 95a4835342
commit 361b64e648
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1 changed files with 1 additions and 2 deletions
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spacy/pipeline/edit_tree_lemmatizer.py
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@ -160,8 +160,7 @@ class EditTreeLemmatizer(TrainablePipe):
def _scores2guesses(self, docs, scores): def _scores2guesses(self, docs, scores):
guesses = [] guesses = []
for doc, doc_scores in zip(docs, scores): for doc, doc_scores in zip(docs, scores):
if not isinstance(doc_scores, np.ndarray): NumpyOps().asarray(doc_scores)
doc_scores = doc_scores.get()
doc_compat_guesses = [] doc_compat_guesses = []
for i, token in enumerate(doc): for i, token in enumerate(doc):
for _ in range(self.top_k): for _ in range(self.top_k):