Open MarkDeng1 opened 1 week ago
Additionally, provided modifier.pth is mismatching with tresnet_l model:
Traceback (most recent call last):
File "eval_PromptStealer.py", line 199, in
Hi Mark,
We require this specific PyTorch version because we need to use BLIP, ML_Decoder, and CLIP to train/test PromptStealer. This PyTorch version is compatible with the environment requirements specified by all three packages, so we recommend using it.
As mentioned in our README, NVIDIA provides a Docker environment that supports this setup, which you can refer to here: https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_22-05.html
The size mismatch issue may also be caused by an incorrectly configured environment.
Best, Vera
Hi authors,
I met an environment setting issue, when i run eval_PromptStealer.py file.
I notice that your torch version required is very outdated (pytorch 1.12.0a0+8a1a93a), which is unavailable right now.
The error i encountered, when running eval_PromptStealer.py file:
Traceback (most recent call last): File "eval_PromptStealer.py", line 199, in
main()
File "eval_PromptStealer.py", line 194, in main
evaluate_prompt_stealer(prompt_stealer, val_loader, save_path)
File "eval_PromptStealer.py", line 156, in evaluate_prompt_stealer
inferred_prompts, pred_modifiers = prompt_stealer.infer(images, lexica_dataset=val_loader.dataset)
File "eval_PromptStealer.py", line 69, in infer
modifiers = self.infer_modifiers(images, lexica_dataset)
File "eval_PromptStealer.py", line 85, in infer_modifiers
output_regular = Sig(self.modifier_detector(images.to(device))).cpu()
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, *kwargs)
File "/fred/oz337/zdeng/prompt-stealing-attack-image/src/ml_decoder/models/tresnet/tresnet.py", line 205, in forward
logits = self.head(self.embeddings)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(args, kwargs)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, kwargs)
File "/fred/oz337/zdeng/prompt-stealing-attack-image/src/ml_decoder/ml_decoder/ml_decoder.py", line 167, in forward
h = self.decoder(tgt, embedding_spatial_786.transpose(0, 1)) # [embed_len_decoder, batch, 768]
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(args, kwargs)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/transformer.py", line 491, in forward
seq_len = _get_seq_len(tgt, self.layers[0].self_attn.batch_first)
File "/fred/oz337/zdeng/promptStealing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1729, in getattr
raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")
AttributeError: 'TransformerDecoderLayerOptimal' object has no attribute 'self_attn'
How do i deal with this error?
Thanks, Mark