-if torch.type(output) == 'table' then
- for i, t in pairs(output) do
- print(tostring(i) .. ' -> ' .. tostring(t))
- end
-else
- print(tostring(output))
-end
+printTensorTable(output)
+
+----------------------------------------------------------------------
+
+print('******************************************************************')
+print('** updateGradInput ***********************************************')
+print('******************************************************************')
+gradInput = g:updateGradInput({{input}}, output)