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38 lines
962 B
Python
38 lines
962 B
Python
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"""
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Sample from a trained model
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"""
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import os
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import torch
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import tiktoken
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from model import GPTConfig, GPT
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device = 'cuda:2'
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torch.manual_seed(1337)
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torch.backends.cuda.matmul.allow_tf32 = True # allow tf32 on matmul
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torch.backends.cudnn.allow_tf32 = True # allow tf32 on cudnn
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out_dir = 'out'
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ckpt_path = os.path.join(out_dir, 'ckpt.pt')
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checkpoint = torch.load(ckpt_path, map_location=device)
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# model
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gptconf = GPTConfig(**checkpoint['model_args'])
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model = GPT(gptconf)
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model.load_state_dict(checkpoint['model'])
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model.eval()
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model.to(device)
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enc = tiktoken.get_encoding("gpt2")
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#start = enc.encode("\n")
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start = [enc.eot_token]
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x = (torch.tensor(start, dtype=torch.long, device=device)[None, ...])
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for k in range(1):
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with torch.no_grad():
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with torch.amp.autocast(device_type="cuda", dtype=torch.bfloat16):
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y = model.generate(x, 300, temperature=0.8, top_k=200)
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print(enc.decode(y[0].tolist()))
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print('---------------')
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