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graphbtm's Issues

the vocab size of samle dataset

the sample dataset 20news takes a small vocabulary size of 1995, therefore, the adj becomes a 1995*1995 tensor. But if I make a larger vocabulary size, the adj matrix will be very big I couldn't be sure whether it will work.

Apply your code on a new corpus

I couldn't find instruction to generate the following files for a new corpus.
test.txt.npy, train.txt.npy, valid.txt.npy, vocab.pkl
Regarding the new corpus, would it be sufficient if I supply the text its text in data/20news_clean/corpus.txt?

Run the code without GPU

Hi, I tried to run your code without GPU and it asked for GPU.
Any suggestion? Thanks.

python pytorch_run.py --start --nogpu
loading biterms
Data Loaded
11258
start training
Traceback (most recent call last):
  File "pytorch_run.py", line 243, in <module>
    train(dataset)
  File "pytorch_run.py", line 157, in train
    biterm = torch.FloatTensor(biterm).float().cuda()
  File "/local/tcao/topic_modeling/GraphBTM/.env/lib/python3.6/site-packages/torch/cuda/__init__.py", line 161, in _lazy_init
    _check_driver()
  File "/local/tcao/topic_modeling/GraphBTM/.env/lib/python3.6/site-packages/torch/cuda/__init__.py", line 82, in _check_driver
    http://www.nvidia.com/Download/index.aspx""")
AssertionError:
Found no NVIDIA driver on your system. Please check that you
have an NVIDIA GPU and installed a driver from
http://www.nvidia.com/Download/index.aspx

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