Comments (4)
Ok, I've noticed something always breaks when TensorFlow updates. I will take a look when I can, but I can't make any promises on timeline due to busy schedule. If there is a quick fix, I will most likely be fast about it though.
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@lalchand-pandia Could you please create a pull request with the changes?
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I've updated this project to work with the latest tensorflow version (1.2), admittedly it's a bit late in coming. This should fix this issue, assuming you have the latest version of tensorflow. Feel free to reopen this issue if it is not resolved after updating.
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Related Issues (14)
- tf.pack() issue while building the model.. HOT 3
- Missing util/hyperparams? HOT 2
- ValueError: setting an array element with a sequence HOT 1
- Dropout used incorrectly! HOT 4
- logistics regression layer not properly implemented
- Tensorflow version HOT 2
- checkpoint names HOT 2
- There is no restoreHyperParameters function in the sample.py HOT 6
- Code does not run with the latest Tensorflow version. HOT 1
- Training is not working? HOT 1
- Model not found...
- memory is blowing up
- padding all sequences to same length is inefficient HOT 1
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