def _projection(prev_state, prev_output, ctx_tensors):
return maxout([prev_state, prev_output] + ctx_tensors,
maxout_size)
def _projection(prev_state, prev_output, ctx_tensors, _):
state_out_ctx = tf.concat([prev_state, prev_output] + ctx_tensors, 1)
return maxout(state_out_ctx, maxout_size)
def _projection(prev_state, prev_output, ctx_tensors, train_mode):
state_out_ctx = tf.concat([prev_state, prev_output] + ctx_tensors, 1)
return dropout(
maxout(state_out_ctx, maxout_size),
dropout_keep_prob, train_mode)