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Fix T2V_TRANSFORMERS_DIRECT_TOKENIZE setting #47

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merged 1 commit into from
Jan 30, 2023
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Fix T2V_TRANSFORMERS_DIRECT_TOKENIZE setting #47

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6 changes: 3 additions & 3 deletions app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,10 +38,10 @@ def startup_event():
logger.info("Running on CPU")

# Batch text tokenization enabled by default
direct_tokenize = True
direct_tokenize = False
transformers_direct_tokenize = os.getenv("T2V_TRANSFORMERS_DIRECT_TOKENIZE")
if transformers_direct_tokenize is not None and transformers_direct_tokenize == "false" or transformers_direct_tokenize == "0":
direct_tokenize = False
if transformers_direct_tokenize is not None and transformers_direct_tokenize == "true" or transformers_direct_tokenize == "1":
direct_tokenize = True

meta_config = Meta('./models/model')
vec = Vectorizer('./models/model', cuda_support, cuda_core, cuda_per_process_memory_fraction,
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2 changes: 1 addition & 1 deletion vectorizer.py
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Expand Up @@ -67,7 +67,7 @@ def pool_embedding(self, batch_results, tokens, config):

async def vectorize(self, text: str, config: VectorInputConfig):
with torch.no_grad():
if not self.direct_tokenize:
if self.direct_tokenize:
# create embeddings without tokenizing text
tokens = self.tokenize(text)
if self.cuda:
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