Will PyTorch backprop through logvar equivalently in the following two statements?
def vae_reparameterize1( mu, logvar):
      std = logvar.mul(0.5).exp_()
      eps = Variable(std.data.new(std.size()).normal_())
      return eps.mul(std).add_(mu)

def vae_reparametrize2( mu, logvar):
      std = logvar.mul(0.5).exp_()
      eps = torch.cuda.FloatTensor(std.size()).normal_() 
      eps = Variable(eps)
      return eps.mul(std).add_(mu), std