8 function printTensorTable(t)
9 if torch.type(t) == 'table' then
10 for i, t in pairs(t) do
11 print('-- ELEMENT [' .. i .. '] --')
19 -- torch.setnumthreads(params.nbThreads)
20 torch.setdefaulttensortype('torch.DoubleTensor')
30 -- a -----> b ---> c ----> e ---
50 input = torch.Tensor(3, 10):uniform()
52 output = g:updateOutput({input})
54 printTensorTable(output)
56 ----------------------------------------------------------------------
58 -- gradInput = g:updateGradInput({ input }, output)