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| author | Sj-Si <sjw.jetty@gmail.com> | 2024-01-11 21:37:35 +0000 |
|---|---|---|
| committer | Sj-Si <sjw.jetty@gmail.com> | 2024-01-11 21:37:35 +0000 |
| commit | 036500223de0a3caaa86360a8ad3ed301e4367b0 (patch) | |
| tree | f05f0d5fc503d9c35d57bad077a5dab1dfd6569e /modules/xlmr_m18.py | |
| parent | 0726a6e12e85a37d1e514f5603acf9f058c11783 (diff) | |
| parent | cb5b335acddd126d4f6c990982816c06beb0d6ae (diff) | |
| download | stable-diffusion-webui-gfx803-036500223de0a3caaa86360a8ad3ed301e4367b0.tar.gz stable-diffusion-webui-gfx803-036500223de0a3caaa86360a8ad3ed301e4367b0.tar.bz2 stable-diffusion-webui-gfx803-036500223de0a3caaa86360a8ad3ed301e4367b0.zip | |
Merge changes from dev
Diffstat (limited to 'modules/xlmr_m18.py')
| -rw-r--r-- | modules/xlmr_m18.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/modules/xlmr_m18.py b/modules/xlmr_m18.py index a727e865..f6055504 100644 --- a/modules/xlmr_m18.py +++ b/modules/xlmr_m18.py @@ -4,6 +4,8 @@ import torch from transformers.models.xlm_roberta.configuration_xlm_roberta import XLMRobertaConfig from transformers import XLMRobertaModel,XLMRobertaTokenizer from typing import Optional +from modules import torch_utils + class BertSeriesConfig(BertConfig): def __init__(self, vocab_size=30522, hidden_size=768, num_hidden_layers=12, num_attention_heads=12, intermediate_size=3072, hidden_act="gelu", hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, max_position_embeddings=512, type_vocab_size=2, initializer_range=0.02, layer_norm_eps=1e-12, pad_token_id=0, position_embedding_type="absolute", use_cache=True, classifier_dropout=None,project_dim=512, pooler_fn="average",learn_encoder=False,model_type='bert',**kwargs): @@ -68,7 +70,7 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): self.post_init() def encode(self,c): - device = next(self.parameters()).device + device = torch_utils.get_param(self).device text = self.tokenizer(c, truncation=True, max_length=77, |