Shapes in Tensorflow

I am new to Tensorflow and I have problems with combining shapes (n,) with shapes (n,1). I am trying to implement a stochastic gradient descent by feeding one example at the time. The problem is that it seems to feed the data in shape (num_of_features,), while I need (num_of_features,1) for the correct usage of the other functions. I was trying to use tf.reshape with X and y to somehow solve this problem, but it caused errors in other places. Is it possible to feed the data in feed_dict {X: cur_x, y: cur_y} in "correct" shape?