Andrej Karpathy
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""
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Run simply with
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$ pytest
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"""
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import os
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import pytest # pip install pytest
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import subprocess
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import torch
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from model import ModelArgs, Transformer
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def test_argmax_inference():
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"""
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Only the simplest test for now: run inference with temperature 0
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(for determinism) in both C and PyTorch, and see that the sampled tokens
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are the same.
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"""
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test_ckpt_dir = "out" # TODO create a dummy test checkpoint for this?
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# run C version
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model_path = os.path.join(test_ckpt_dir, "model.bin")
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command = ["./run", model_path, "0.0"]
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proc = subprocess.Popen(command, stdout=subprocess.PIPE)
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c_tokens = []
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for line in proc.stdout:
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token = int(line.decode('utf-8').strip())
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c_tokens.append(token)
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proc.wait()
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#print(c_tokens)
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# run PyTorch version
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device = "cuda" if torch.cuda.is_available() else "cpu"
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ckpt_path = os.path.join(test_ckpt_dir, "ckpt.pt")
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checkpoint = torch.load(ckpt_path, map_location=device)
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gptconf = ModelArgs(**checkpoint['model_args'])
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model = Transformer(gptconf)
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state_dict = checkpoint['model']
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unwanted_prefix = '_orig_mod.'
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for k,v in list(state_dict.items()):
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if k.startswith(unwanted_prefix):
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state_dict[k[len(unwanted_prefix):]] = state_dict.pop(k)
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model.load_state_dict(state_dict, strict=False)
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model.eval()
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model.to(device)
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x = torch.tensor([[1]], dtype=torch.long, device=device) # 1 is BOS
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with torch.inference_mode():
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y = model.generate(x, max_new_tokens=gptconf.max_seq_len, temperature=0.0)
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pt_tokens = y[0].tolist()
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pt_tokens = pt_tokens[1:] # remove BOS
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#print(pt_tokens)
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# compare
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assert c_tokens == pt_tokens
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