Comments (4)
sess.run(tf.global_variables_initializer) should be sess.run(tf.global_variables_initializer())
this correct this error.
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I am running the code using latest version of tensorflow.
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Thanks for the quick reply. I made the changes and the code is working fine now with the numeric data file. :)
The only issue remaining is the first one: #6
How does a user generate target_params.pkl to use with text file? Looking forward to your reply.
I tried processing a small text corpus with the existing target_params.pkl and it threw this error. Guess it was expecting numeric data.
Traceback (most recent call last):
File "sequence_gan.py", line 257, in
main()
File "sequence_gan.py", line 156, in main
gen_data_loader.create_batches(positive_file)
File "/home/aaron/Desktop/SeqGAN_tf_12_only/MLE_SeqGAN/gen_dataloader.py", line 15, in create_batches
parse_line = [int(x) for x in line]
ValueError: invalid literal for int() with base 10: 'First'
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@GenTxt please refer to question #6.
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Related Issues (20)
- About the sequences to process
- 模型问题
- the input data?
- Training on custom dataset HOT 1
- 关于采样的问题
- What is the difference between SeqGAN and LM for text generation? HOT 1
- Nothing. Ignore it.
- About dataset. HOT 1
- About oracle model
- If the positive sample and negative sample of each training are corresponding, will it affect the training result
- gradient decent implementation
- About generator in adversarial training HOT 2
- How should I understand the RL loss function
- data format
- About the accuracy of discriminator during training?
- NLG
- dataset HOT 1
- How can i use my own training data ? HOT 2
- How to resume training in Colab?
- Questions about the recurring results of the code HOT 1
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