I’m new to neural networks and pytorch.
I want to construct a neural network that takes an m-dim vector and outputs an n-dim vector. I have 100 training data. To prepare my dataset, shall I make an array/tensor of dimension 100 by m or m by 100 for pytorch?  In other words, I want to know whether pytorch takes one data point as a row vector or a column vector.  This corresponds to whether the function xW+b or Wx+b is used in each neuron, I guess.