im2latex-tensorflow
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Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Hi all, I am having difficulty running the predict script. I think it is an error stemming from which distribution you use for tensorflow. I tried upgrading to the most...
Thanks a lot for your implementation. I tried to rerun your program to train my own data, but I failed with the error messages as below: > W tensorflow/core/framework/op_kernel.cc:975] Invalid...
out,state = tflib.ops.FreeRunIm2LatexAttention('AttLSTM',emb_seqs,ctx,EMB_DIM,ENC_DIM,DEC_DIM,D,H,W)
Hello! Thank you for sharing your code! I have something wrong when I run this code. Is there something wrong in the attention.py. The order of parameters in out,state =...
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions. Traceback (most recent call last): File "attention.py", line 37, in out,state = tflib.ops.FreeRunIm2LatexAttention('AttLSTM',emb_seqs,ctx,EMB_DIM,ENC_DIM,DEC_DIM,D,H,W) File "/home/rootx/me/im2latextensorflow/im2latex-tensorflow-master/tflib/ops.py", line 625, in FreeRunIm2LatexAttention V...
I changed the attention.py `# out,state = tflib.ops.FreeRunIm2LatexAttention('AttLSTM', ctx, emb_seqs, EMB_DIM, ENC_DIM, DEC_DIM, D, H, W)` to `out, state = tflib.ops.im2latexAttention('AttLSTM', emb_seqs, ctx, EMB_DIM, ENC_DIM, DEC_DIM, D, H, W)` ,the...
thanks much for the excellent code. in the current predict, i saw it gets output idx one by one: (Maybe it is for visualization purpose). attention.py: line 86 for i...
Hello, when I run this code, there is a problem: /home/yzl/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be...
Thanks for releasing your pretrained weights checkpoint. I'm trying to use them to run the decompiler. When I set `is_training=False` in the call to `tflib.network.im2latex_cnn`, it outputs the wrong answer....
This allows running the learning from a blank clone of the repository.