Add top_k to RWKV

This commit is contained in:
oobabooga 2023-03-07 17:24:28 -03:00
parent 827ae51f72
commit 8660227e1b
3 changed files with 5 additions and 4 deletions

View file

@ -92,7 +92,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
# separately and terminate the function call earlier
if shared.is_RWKV:
if shared.args.no_stream:
reply = shared.model.generate(question, token_count=max_new_tokens, temperature=temperature, top_p=top_p)
reply = shared.model.generate(question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k)
t1 = time.time()
print(f"Output generated in {(t1-t0):.2f} seconds.")
yield formatted_outputs(reply, shared.model_name)
@ -100,7 +100,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
yield formatted_outputs(question, shared.model_name)
for i in tqdm(range(max_new_tokens//8+1)):
clear_torch_cache()
reply = shared.model.generate(question, token_count=8, temperature=temperature, top_p=top_p)
reply = shared.model.generate(question, token_count=8, temperature=temperature, top_p=top_p, top_k=top_k)
yield formatted_outputs(reply, shared.model_name)
question = reply
return