From dcd5ed3c43400bce77b8c13e086ab763b6581b56 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stardust=C2=B7=E5=87=8F?= Date: Tue, 5 Sep 2023 19:38:23 +0800 Subject: [PATCH] =?UTF-8?q?=E6=96=B0=E5=A2=9Edevice=E4=BC=A0=E5=8F=82?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- text/chinese_bert.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/text/chinese_bert.py b/text/chinese_bert.py index 45e5e28..38ef7d8 100644 --- a/text/chinese_bert.py +++ b/text/chinese_bert.py @@ -13,9 +13,11 @@ device = torch.device( ) tokenizer = AutoTokenizer.from_pretrained("./bert/chinese-roberta-wwm-ext-large") -model = AutoModelForMaskedLM.from_pretrained("./bert/chinese-roberta-wwm-ext-large").to(device) -def get_bert_feature(text, word2ph): +def get_bert_feature(text, word2ph, device): + if sys.platform == "darwin" and torch.backends.mps.is_available() and device == "cpu" + device == "mps" + model = AutoModelForMaskedLM.from_pretrained("./bert/chinese-roberta-wwm-ext-large").to(device) with torch.no_grad(): inputs = tokenizer(text, return_tensors='pt') for i in inputs: