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Truncate prompts to 2048 characters

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oobabooga 2023-01-16 13:43:23 -03:00
parent 99d24bdbfe
commit 54bf55372b
1 changed files with 7 additions and 4 deletions
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11
server.py
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@ -96,6 +96,7 @@ def load_model(model_name):
tokenizer = AutoTokenizer.from_pretrained(Path("models/gpt-j-6B/"))
else:
tokenizer = AutoTokenizer.from_pretrained(Path(f"models/{model_name}/"))
tokenizer.truncation_side = 'left'
print(f"Loaded the model in {(time.time()-t0):.2f} seconds.")
return model, tokenizer
@ -134,10 +135,10 @@ def generate_reply(question, tokens, inference_settings, selected_model, eos_tok
if not args.cpu:
torch.cuda.empty_cache()
input_ids = tokenizer.encode(str(question), return_tensors='pt').cuda()
input_ids = tokenizer.encode(str(question), return_tensors='pt', truncation=True, max_length=2048-tokens).cuda()
cuda = ".cuda()"
else:
input_ids = tokenizer.encode(str(question), return_tensors='pt')
input_ids = tokenizer.encode(str(question), return_tensors='pt', truncation=True, max_length=2048-tokens)
cuda = ""
if eos_token is None:
@ -231,10 +232,12 @@ elif args.chat or args.cai_chat:
if check:
reply = generate_reply(question, tokens, inference_settings, selected_model, eos_token='\n')[0]
reply = reply[len(question):].split('\n')[0].strip()
idx = reply.rfind(question[-500:])
reply = reply[idx+min(500, len(question)):].split('\n')[0].strip()
else:
reply = generate_reply(question, tokens, inference_settings, selected_model)[0]
reply = reply[len(question):]
idx = reply.rfind(question[-500:])
reply = reply[idx+min(500, len(question)):]
idx = reply.find(f"\n{name1}:")
if idx != -1:
reply = reply[:idx]