profiler.decorate(model)
-print()
-
--- torch.save('model.t7', model)
-
-- Create the data and criterion
local input = torch.Tensor(1000, 1, h, w)
-- Print the accumulated timings
--- profiler.print(model, nbSamples)
-profiler.print(model)
+print()
+profiler.print(model, nbSamples)
+-- profiler.print(model)
print(string.format('Total model time %.02fs', modelTime))
print(string.format('Total data time %.02fs', dataTime))