multiple values for keyword argument 'softmax_loss_function'

[trideeprath]

trideep@trideep-HP-ENVY-x360-m6-Convertible:~/Downloads/tensorflow-shakespeare-master$ ./run.sh en_train /home/trideep/Downloads/tensorflow-shakespeare-master/cache/all_modern_train.ids fr_train /home/trideep/Downloads/tensorflow-shakespeare-master/cache/all_original_train.ids en_dev /home/trideep/Downloads/tensorflow-shakespeare-master/cache/all_modern_dev.ids fr_dev /home/trideep/Downloads/tensorflow-shakespeare-master/cache/all_original_dev.ids Creating 2 layers of 256 units. en_vocab_size 10000 fr_vocab_size 10000 <function sampled_loss at 0x7f3cea7839b0> Traceback (most recent call last): File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main "main", fname, loader, pkg_name) File "/usr/lib/python2.7/runpy.py", line 72, in _run_code exec code in run_globals File "/home/trideep/Downloads/tensorflow-shakespeare-master/tensorshake/translate/translate.py", line 314, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run sys.exit(main(sys.argv)) File "/home/trideep/Downloads/tensorflow-shakespeare-master/tensorshake/translate/translate.py", line 311, in main train() File "/home/trideep/Downloads/tensorflow-shakespeare-master/tensorshake/translate/translate.py", line 165, in train model = create_model(sess, False) File "/home/trideep/Downloads/tensorflow-shakespeare-master/tensorshake/translate/translate.py", line 133, in create_model forward_only=forward_only) File "tensorshake/translate/seq2seq_model.py", line 138, in init softmax_loss_function=softmax_loss_function) TypeError: model_with_buckets() got multiple values for keyword argument 'softmax_loss_function'

[aewhatley]

I got this exact same error, any help?

[tokestermw]

Not sure but the code probably won't work on newer TensorFlow.

It should work on 0.5.

On May 6, 2016, at 12:18 AM, aewhatley [email protected] wrote:

I got this exact same error, any help?

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[tokestermw]

Cool, thanks.

There's been a few changes since 0.5 but don't have time to debug now.

MT is tricky since it uses a softmax on a large vocab. The Shakespeare dataset is small so the accuracy will be bad. However, your results look stuck at a weird minimum. Try adjusting the learning rate (usually smaller) or use Gradient Descent Optimizer and see how it goes. Also try a smaller vocab.

On May 17, 2016, at 9:56 AM, Gangeshwar Krishnamurthy [email protected] wrote:

@trideeprath https://github.com/trideeprath @aewhatley https://github.com/aewhatley @tokestermw https://github.com/tokestermw works when the seq2seq_model.py is replaced with the new tensorflow version file from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/models/rnn/translate/seq2seq_model.py https://github.com/tensorflow/tensorflow/blob/master/tensorflow/models/rnn/translate/seq2seq_model.py @tokestermw https://github.com/tokestermw After training, the output is not correct.

INPUT: Good morning OUTPUT: purposely purposely purposely ditty ditty ditty ditty ditty ditty ditty

INPUT : Four days will quickly steep themselves in night OUTPUT : ditty ditty ditty ditty ditty descry descry descry descry descry descry descry descry descry descry

What is happening?

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[tokestermw]

relevant issue in TensorFlow: https://github.com/tensorflow/tensorflow/issues/550