File size: 1,869 Bytes
1b25f81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | """Interactive prompt loop for micro500. Loads the model once; exit with Ctrl+C."""
import json
import sys
import time
import torch
import torch.nn.functional as F
from safetensors.torch import load_file
from model import MicroLM
WEIGHTS = "micro500.safetensors"
CONFIG = "micro500_config.json"
CONTEXT = 64 # characters of history fed to the model
N_CHARS = 300 # characters generated per prompt
TEMP = 0.8
TOP_K = 0 # 0 = disabled
def load():
cfg = json.load(open(CONFIG))
chars = cfg["chars"]
net = MicroLM(len(chars), cfg["d"], cfg["h"], cfg["pad"])
net.load_state_dict(load_file(WEIGHTS))
net.eval()
stoi = {c: i for i, c in enumerate(chars)}
itos = {i: c for c, i in stoi.items()}
return net, stoi, itos
@torch.no_grad()
def generate(net, stoi, itos, prompt, n=N_CHARS, temp=TEMP, top_k=TOP_K):
ids = [stoi.get(c, 0) for c in prompt.lower()] or [0]
start = time.perf_counter()
for _ in range(n):
x = torch.tensor([ids[-CONTEXT:]])
logits = net(x)[0, -1] / temp
if top_k:
v, _ = torch.topk(logits, top_k)
logits[logits < v[-1]] = float("-inf")
ids.append(torch.multinomial(F.softmax(logits, -1), 1).item())
elapsed = time.perf_counter() - start
text = "".join(itos[i] for i in ids)
return text, n / elapsed
def main():
net, stoi, itos = load()
n_params = sum(p.numel() for p in net.parameters())
print(f"micro500 loaded ({n_params} parameters). Press Ctrl+C to quit.\n")
try:
while True:
prompt = input("prompt> ")
text, tps = generate(net, stoi, itos, prompt)
print(f"\n{text}\n")
print(f"[{tps:,.0f} tokens/sec]\n")
except (KeyboardInterrupt, EOFError):
print("\nbye")
sys.exit(0)
if __name__ == "__main__":
main() |