From: Francois Fleuret Date: Fri, 13 Jan 2017 21:58:43 +0000 (+0100) Subject: Made the checks a bit more demanding. Everything seems in order. X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=f1e78b9584e64728aed5482249380879dc7646a0;p=dagnn.git Made the checks a bit more demanding. Everything seems in order. --- diff --git a/test-dagnn.lua b/test-dagnn.lua index f7de819..9f343a9 100755 --- a/test-dagnn.lua +++ b/test-dagnn.lua @@ -99,7 +99,11 @@ dag:connect(c, e) dag:setInput(a) dag:setOutput({ d, e }) --- We check it works when we put it into a nn.Sequential +-- Check the output of the dot file +print('Writing /tmp/graph.dot') +dag:saveDot('/tmp/graph.dot') + +-- Let's make a model where the dag is inside another nn.Container. model = nn.Sequential() :add(nn.Linear(50, 50)) :add(dag) @@ -109,7 +113,11 @@ local input = torch.Tensor(30, 50):uniform() local output = model:updateOutput(input):clone() output:uniform() +-- Check that DAG:accGradParameters and friends work okay print('Gradient estimate error ' .. checkGrad(model, nn.MSECriterion(), input, output)) -print('Writing /tmp/graph.dot') -dag:saveDot('/tmp/graph.dot') +-- Check that we can save and reload the model +model:clearState() +torch.save('/tmp/test.t7', model) +local otherModel = torch.load('/tmp/test.t7') +print('Gradient estimate error ' .. checkGrad(otherModel, nn.MSECriterion(), input, output))