'Will a Tensorflow/Keras mask still flow to subsequent layers if I manually manipulate a tensor between layers?
Say these are the layers of my model:
- Embedding with mask_zero=True
- LSTM
- Dense
According to the official guide: https://www.tensorflow.org/guide/keras/masking_and_padding
And this SO answer: How does mask_zero in Keras Embedding layer work?
The mask should propagate through the subsequent layers as long as they support masking (Which LSTM and Dense do).
But let's say I take the LSTM output from step 2, and do some matrix operations on it before passing it to step 3. Will the Dense layer in step 3 still receive the mask?
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