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| expd=tf.expand_dims(ptf,2) # from (n_emb x emb_dim) to (n_emb x emb_dim x 1) | |
| tiled=tf.tile(expd, [1,1,tf.shape(ptf)[0]]) # copying the same matrix n times | |
| trans=tf.transpose(ptf) | |
| num=tf.reduce_sum(tf.squared_difference(trans,tiled), 1) | |
| den1=1-tf.reduce_sum(tf.square(ptf),1) | |
| den1=tf.expand_dims(den1, 1) | |
| den=tf.matmul(den1, tf.transpose(den1)) | |
| tot=1+2*tf.div(num, den) |
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