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Sleeping
| """ | |
| Run simply with | |
| $ pytest | |
| """ | |
| import os | |
| import pytest # pip install pytest | |
| import requests | |
| import subprocess | |
| import torch | |
| from model import ModelArgs, Transformer | |
| from tokenizer import Tokenizer | |
| # ----------------------------------------------------------------------------- | |
| # test utilities | |
| test_ckpt_dir = "test" | |
| def download_file(url, filename): | |
| print(f"Downloading {url} to {filename}") | |
| response = requests.get(url, stream=True) | |
| response.raise_for_status() # Raise an HTTPError on bad status code | |
| with open(filename, 'wb') as file: | |
| for chunk in response.iter_content(chunk_size=8192): | |
| file.write(chunk) | |
| def attempt_download_files(): | |
| os.makedirs(test_ckpt_dir, exist_ok=True) | |
| root_url = "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K" | |
| need = ["stories260K.bin", "stories260K.pt", "tok512.bin", "tok512.model"] | |
| for file in need: | |
| url = root_url + '/' + file #os.path.join inserts \\ on windows | |
| filename = os.path.join(test_ckpt_dir, file) | |
| if not os.path.exists(filename): | |
| download_file(url, filename) | |
| expected_stdout = b'Once upon a time, there was a little girl named Lily. She loved to play outside in the park. One day, she saw a big, red ball. She wanted to play with it, but it was too high.\nLily\'s mom said, "Lily, let\'s go to the park." Lily was sad and didn\'t know what to do. She said, "I want to play with your ball, but I can\'t find it."\nLily was sad and didn\'t know what to do. She said, "I\'m sorry, Lily. I didn\'t know what to do."\nLily didn\'t want to help her mom, so she' | |
| # ----------------------------------------------------------------------------- | |
| # actual tests | |
| def test_runc(): | |
| """ Forwards a model against a known-good desired outcome in run.c for 200 steps""" | |
| attempt_download_files() | |
| model_path = os.path.join(test_ckpt_dir, "stories260K.bin") | |
| tokenizer_path = os.path.join(test_ckpt_dir, "tok512.bin") | |
| command = ["./run", model_path, "-z", tokenizer_path, "-t", "0.0", "-n", "200"] | |
| with open('err.txt', mode='wb') as fe: | |
| with open('stdout.txt', mode='wb') as fo: | |
| proc = subprocess.Popen(command, stdout=fo, stderr=fe) #pipe in windows terminal does funny things like replacing \n with \r\n | |
| proc.wait() | |
| with open('stdout.txt', mode='r') as f: | |
| stdout = f.read() | |
| # strip the very last \n that is added by run.c for aesthetic reasons | |
| stdout = stdout[:-1].encode('ascii') | |
| assert stdout == expected_stdout | |
| def test_python(): | |
| """ Forwards a model against a known-good desired outcome in sample.py for 200 steps""" | |
| attempt_download_files() | |
| device = "cpu" # stories260K is small enough to just breeze through it on CPU | |
| checkpoint = os.path.join(test_ckpt_dir, "stories260K.pt") | |
| checkpoint_dict = torch.load(checkpoint, map_location=device) | |
| gptconf = ModelArgs(**checkpoint_dict['model_args']) | |
| model = Transformer(gptconf) | |
| state_dict = checkpoint_dict['model'] | |
| unwanted_prefix = '_orig_mod.' | |
| for k,v in list(state_dict.items()): | |
| if k.startswith(unwanted_prefix): | |
| state_dict[k[len(unwanted_prefix):]] = state_dict.pop(k) | |
| model.load_state_dict(state_dict, strict=False) | |
| model.eval() | |
| model.to(device) | |
| x = torch.tensor([[1]], dtype=torch.long, device=device) # 1 is BOS | |
| with torch.inference_mode(): | |
| y = model.generate(x, max_new_tokens=200, temperature=0.0) | |
| pt_tokens = y[0].tolist() | |
| tokenizer_model = os.path.join(test_ckpt_dir, "tok512.model") | |
| enc = Tokenizer(tokenizer_model=tokenizer_model) | |
| text = enc.decode(pt_tokens) | |
| text = text.encode('ascii') # turn into bytes | |
| assert text == expected_stdout | |