batra-mlp-lab / avsd Goto Github PK

Hi,

The extracted features can be found here https://drive.google.com/drive/folders/14zlHmNFkCgptiGttwWKrsaaz5vVUFs00?usp=sharing

Originally posted by @hudaAlamri in #2 (comment)

Hi there,
Thanks for your sharing!
I am running this code as a baseline. However, I can not find svqa_utils which is used at

Traceback (most recent call last):
File "/content/drive/My Drive/Colab Notebooks/train.py", line 167, in
enc_out = encoder(batch)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/content/drive/My Drive/Colab Notebooks/encoders/lf.py", line 92, in forward
hist_embed = self.hist_rnn(hist_embed, batch['hist_len'])
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/content/drive/My Drive/Colab Notebooks/utils/dynamic_rnn.py", line 34, in forward
sorted_seq_input, lengths=sorted_len, batch_first=True)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/utils/rnn.py", line 234, in pack_padded_sequence
lengths = torch.as_tensor(lengths, dtype=torch.int64)
RuntimeError: CUDA error: device-side assert triggered
ERROR WHILE RUNNING train.py

Hi, thanks for your great works.

May I ask if it possible to share the data files (all the h5 files and json files)?
The instructions on the data preparation is so unclear.

Thanks you very much.

when I run 'python train.py' with default settings and default feature dataset that provided in this Github, there is an error.
Traceback (most recent call last): File "****/avsd/train.py", line 95, in <module> dataset = VisDialDataset(args, ['train']) File "******/avsd/dataloader.py", line 157, in __init__ self._process_history(dtype) File "********/avsd/dataloader.py", line 296, in _process_history = captions[th_id][:max_ques_len + max_ans_len] RuntimeError: The expanded size of the tensor (44) must match the existing size (40) at non-singleton dimension 0. Target sizes: [44]. Tensor sizes: [40]