GPT-නියෝක්ස්සමඟ පෙළ ජනනය කරන්න

15

16from typing import List
17
18import torch
19from torch import nn
20
21from labml import monit
22from labml_nn.neox.model import LayerGenerator
23from labml_nn.neox.utils import get_tokens, print_tokens
24from labml_nn.neox.utils.cache import get_cache

29LAYERS = None

32PROMPT = 'Einstein was born in the German Empire, but moved to Switzerland in 1895, forsaking his German'

35def infer(model: nn.Module, ids: List[int], device: torch.device):

44    with torch.no_grad():

46        x = torch.tensor(ids)[None, :].to(device)

48        x = model(x)

51    return x[0].max(dim=-1)[1].tolist()

54def generate():

60    cache = get_cache()
61    cache.set('use_cache', True)

64    device = torch.device('cuda:0')

67    layers = list(LayerGenerator(is_clone_layers=True,
68                                 filter_layers=LAYERS,
69                                 dtype=torch.float16,
70                                 device=device,
71                                 ).load())
72
73    model = nn.Sequential(*layers)

76    ids = get_tokens(PROMPT)

79    cache.set('state_ids', (None, 1))
80    with monit.section('Infer'):
81        next_token = infer(model, ids, device)[-1]

84    ids += [next_token]

87    for i in range(1, 100):

89        cache.set('state_ids', (i, i + 1))

92        with monit.section('Infer'):
93            next_token = infer(model, [next_token], device)[-1]

95        ids += [next_token]

97        print_tokens(ids, [ids])

101if __name__ == '__main__':
102    generate()