I am trying to apply tanh(dot(x,y)) ; x and y are batch data of my RNN.
x,y have shape (n_batch, n_length, n_dim) like (2,3,4) ; 2 samples with 3 sequences, each is 4 dimensions.
I want to do inner or dot production to last dimension. Then tanh(dot(x,y)) should have shape of (n_batch, n_length) = (2, 3)
Which function should I use?
This expression should do the trick:
theano.tensor.tanh((x * y).sum(2))
The dot product is computed 'manually' by doing element-wise multiplication, then summing over the last dimension.
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