I implemented the same autoencoders with BCE criterion using pytorch and torch7.
When I tried to train them using SGD with momentum, the convergence speeds were almost same within about 2000 iterations. But, the convergence of pytorch becomes quite slower than that of torch7.
Has anyone compared the convergence performances ?