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fix: optim_string_condense #20

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fix: optim_string_condense #20

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10 changes: 7 additions & 3 deletions nanogcg/gcg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -322,10 +322,14 @@ def init_buffer(self) -> AttackBuffer:

if isinstance(config.optim_str_init, str):
init_optim_ids = tokenizer(config.optim_str_init, add_special_tokens=False, return_tensors="pt")["input_ids"].to(model.device)
optim_ids_len = init_optim_ids.shape[1]
logger.info(f"Optimization string length is {optim_ids_len}")
if config.buffer_size > 1:
init_buffer_ids = tokenizer(INIT_CHARS, add_special_tokens=False, return_tensors="pt")["input_ids"].squeeze().to(model.device)
init_indices = torch.randint(0, init_buffer_ids.shape[0], (config.buffer_size - 1, init_optim_ids.shape[1]))
init_buffer_ids = torch.cat([init_optim_ids, init_buffer_ids[init_indices]], dim=0)
init_indices = torch.randint(0, len(INIT_CHARS), ((config.buffer_size - 1)*optim_ids_len, ))
init_str = [INIT_CHARS[i] for i in init_indices]
init_str = [" ".join(init_str[i:i+optim_ids_len]) for i in range(0, len(init_str), optim_ids_len)]
init_buffer_ids = tokenizer(init_str, add_special_tokens=False, return_tensors="pt")["input_ids"].to(model.device)
init_buffer_ids = torch.cat([init_buffer_ids, init_optim_ids], dim=0)
else:
init_buffer_ids = init_optim_ids

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2 changes: 1 addition & 1 deletion nanogcg/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
from torch import Tensor

INIT_CHARS = [
".", ",", "!", "?", ";", ":", "(", ")", "[", "]", "{", "}",
",", ";", ":", "(", ")", "[", "]", "{", "}",
"@", "#", "$", "%", "&", "*",
"w", "x", "y", "z",
]
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