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thushv89 avatar thushv89 commented on August 26, 2024

This is possibly due to using shape instead of batch_shape as this layer still cannot work with unknown batch sizes. Try setting a batch size in your layers and see if that fixes the issue. I will be working on how to get it to run with unknown batch sizes, but haven't had time to look into it yet.

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thushv89 avatar thushv89 commented on August 26, 2024

The commit ae4b7ce should fix this issue. Please see if it works now.

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jayeew avatar jayeew commented on August 26, 2024

Thank you. Actually I have already implement the attention mechanism according to some figures in your blog.

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jayeew avatar jayeew commented on August 26, 2024

Thank you. Actually I have already implement the attention mechanism according to some figures in your blog.

attention = dot([decoder_lstm, encoder_lstm], axes=[2, 2])
attention = Activation('softmax')(attention)
context = dot([attention, encoder_lstm_], axes=[2,1])
decoder_combined_context = concatenate([context, decoder_lstm])

output = dense1(decoder_combined_context)
output = dense2(Dropout(0.5)(output))

model = Model([input_question, input_answer], output)

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thushv89 avatar thushv89 commented on August 26, 2024

Sounds good :)

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