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Hello,Thanks for your sharing your code.
But In your implement of seqgan, I have a problems:
That is computing reward(in uitls.rollout), why you use a mean Q-value(reward) to replace every Q-value? …
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C:\Users\caocao\Anaconda3\python.exe D:/work/zhaiyao/Texygen-master/Texygen-master/main.py -g seqgan -t real -d data/shi.txt
2018-06-05 11:24:43.458330: I C:\tf_jenkins\home\workspace\rel-win\M\windo…
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Thank you for developing great software.
At the present, the newest stable version of torch is 1.3.1.
With the 1.3.1, an error occurs in dataloader.py when trying to run some script in run directo…
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I want to train AOL Search query logs on Seq-GAN to generate queries. Is there an implementation of Seq-GAN that uses Custom Dataset?
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I have a dataset consisting of tokenized sequential data ([SMILES data](https://en.wikipedia.org/wiki/Simplified_molecular-input_line-entry_system) - characters represent atoms in chemical backbone). …
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I am using `Keras.Backend.armax()` in a gamma layer. The model compiles fine but throws an error during fit().
ValueError: An operation has `None` for gradient. Please make sure that all of you…
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目录中并无以下资源:
train_enc = "./gen_data/train.query"
train_dec = "./gen_data/train.answer"
test_enc = "./gen_data/test.query"
test_dec = "./gen_data/test.answer"
resource_data = …
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Due to random init, sometimes seqGAN will generate empty sequences, leading to errors of metric.
Try to avoid this or identify this error at test.