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31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
# Copyright (c) Sebastian Raschka under Apache License 2.0 (see LICENSE.txt).
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# Source for "Build a Large Language Model From Scratch"
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# - https://www.manning.com/books/build-a-large-language-model-from-scratch
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# Code: https://github.com/rasbt/LLMs-from-scratch
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from .utils import KVCache
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import torch
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def generate_text_simple(model, idx, max_new_tokens, context_size=None, use_cache=True):
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model.eval()
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ctx_len = context_size or model.cfg["context_length"]
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with torch.no_grad():
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if use_cache:
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cache = KVCache(n_layers=model.cfg["n_layers"])
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model.reset_kv_cache()
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logits = model(idx[:, -ctx_len:], cache=cache)
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for _ in range(max_new_tokens):
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next_idx = logits[:, -1].argmax(dim=-1, keepdim=True)
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idx = torch.cat([idx, next_idx], dim=1)
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logits = model(next_idx, cache=cache)
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else:
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for _ in range(max_new_tokens):
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logits = model(idx[:, -ctx_len:], cache=None)
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next_idx = logits[:, -1].argmax(dim=-1, keepdim=True)
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idx = torch.cat([idx, next_idx], dim=1)
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return idx
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