Comments (3)
alexandercameronh
commented on July 18, 2024
@AlexanderYogurt did you resolve this? I have run into the same issue. And cannot figure out a solution.
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lopezlaura
commented on July 18, 2024
You should change that line to:
(c, h) = lstm_cell(inputs=tf.concat([x[:,t,:], context], 1), state=[c, h])
or
(c, h) = lstm_cell(inputs=tf.concat(axis=1, [x[:,t,:], context]), state=[c, h])
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EMCL
commented on July 18, 2024
Post full error report
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Related Issues (20)
- memory error when i train model. HOT 1
- AttributeError: 'Meteor' object has no attribute 'lock' HOT 1
- Unable to change the max_length of captions to train for another dataset HOT 1
- how to reproduce the scores in paper? HOT 12
- Does word embedding use pre-trained word embedding or not?
- Got error when test model with evaluate_model.ipynb. HOT 1
- What's the best performance of this code?
- Didn't use Karpathy's split HOT 1
- Any One Implemented Beam Search with this code
- Problem with testing HOT 3
- when resizing images to (224,224), why cropping?
- problem in prepro.py HOT 5
- What's the best performance of this code? HOT 4
- problems with prepro.py
- A lack of parts of implement of the papar
- problem with slover.py
- InvalidArgumentError: 2 root error(s) found.
- alphas
- IOError in train.py
- no "./data/val/val.features.hkl" file available.
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