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Add to text_generation.py

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Thomas Antony 2023-03-19 19:51:43 -07:00
parent 7745faa7bb
commit a5f5736e74
1 changed files with 19 additions and 1 deletions
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20
modules/text_generation.py
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@ -22,7 +22,7 @@ def get_max_prompt_length(tokens):
return max_length return max_length
def encode(prompt, tokens_to_generate=0, add_special_tokens=True): def encode(prompt, tokens_to_generate=0, add_special_tokens=True):
if shared.is_RWKV: if shared.is_RWKV or shared.is_llamacpp:
input_ids = shared.tokenizer.encode(str(prompt)) input_ids = shared.tokenizer.encode(str(prompt))
input_ids = np.array(input_ids).reshape(1, len(input_ids)) input_ids = np.array(input_ids).reshape(1, len(input_ids))
return input_ids return input_ids
@ -142,6 +142,24 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
input_ids = encode(question) input_ids = encode(question)
print(f"Output generated in {(t1-t0):.2f} seconds ({(len(output)-len(input_ids[0]))/(t1-t0):.2f} tokens/s, {len(output)-len(input_ids[0])} tokens)") print(f"Output generated in {(t1-t0):.2f} seconds ({(len(output)-len(input_ids[0]))/(t1-t0):.2f} tokens/s, {len(output)-len(input_ids[0])} tokens)")
return return
elif shared.is_llamacpp:
try:
if shared.args.no_stream:
reply = shared.model.generate(context=question, num_tokens=max_new_tokens)
yield formatted_outputs(reply, shared.model_name)
else:
if not (shared.args.chat or shared.args.cai_chat):
yield formatted_outputs(question, shared.model_name)
for reply in shared.model.generate_with_streaming(context=question, num_tokens=max_new_tokens):
yield formatted_outputs(reply, shared.model_name)
except Exception as e:
print(e)
finally:
t1 = time.time()
output = encode(reply)[0]
input_ids = encode(question)
print(f"Output generated in {(t1-t0):.2f} seconds ({(len(output)-len(input_ids[0]))/(t1-t0):.2f} tokens/s, {len(output)-len(input_ids[0])} tokens)")
return
input_ids = encode(question, max_new_tokens) input_ids = encode(question, max_new_tokens)
original_input_ids = input_ids original_input_ids = input_ids