machine learning - Torch CrossEntropyCriterion error -


i'm trying train simple test network on xor function in torch. works when use msecriterion, when try crossentropycriterion fails following error message:

/home/a/torch/install/bin/luajit: /home/a/torch/install/share/lua/5.1/nn/thnn.lua:699: assertion `cur_target >= 0 && cur_target < n_classes' failed.  @ /tmp/luarocks_nn-scm-1-6937/nn/lib/thnn/generic/classnllcriterion.c:31 stack traceback:     [c]: in function 'v'     /home/a/torch/install/share/lua/5.1/nn/thnn.lua:699: in function 'classnllcriterion_updateoutput'     ...e/a/torch/install/share/lua/5.1/nn/classnllcriterion.lua:41: in function 'updateoutput'     ...torch/install/share/lua/5.1/nn/crossentropycriterion.lua:13: in function 'forward'     .../a/torch/install/share/lua/5.1/nn/stochasticgradient.lua:35: in function 'train'     a.lua:34: in main chunk     [c]: in function 'dofile'     /home/a/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk     [c]: @ 0x00406670

i same error message when decomposing logsoftmax , classnllcriterion. code is:

dataset={}; function dataset:size() return 100 end -- 100 examples i=1,dataset:size()   local input = torch.randn(2);     -- distributed example in 2d   local output = torch.tensor(2);   if input[1]<0       input[1]=-1   else       input[1]=1   end   if input[2]<0       input[2]=-1   else       input[2]=1   end   if input[1]*input[2]>0     -- calculate label xor function     output[2] = 1;   else     output[1] = 1   end   dataset[i] = {input, output} end  require "nn" mlp = nn.sequential();  -- make multi-layer perceptron inputs = 2; outputs = 2; hus = 20; -- parameters mlp:add(nn.linear(inputs, hus)) mlp:add(nn.tanh()) mlp:add(nn.linear(hus, outputs))  criterion = nn.crossentropycriterion() trainer = nn.stochasticgradient(mlp, criterion) trainer.learningrate = 0.01 trainer:train(dataset)  x = torch.tensor(2) x[1] =  1; x[2] =  1; print(mlp:forward(x)) x[1] =  1; x[2] = -1; print(mlp:forward(x)) x[1] = -1; x[2] =  1; print(mlp:forward(x)) x[1] = -1; x[2] = -1; print(mlp:forward(x))

mse criterion designed regression problems. when it's used classification tasks, targets should one-hot vectors. cross entropy / negative log likelihood criteria used exclusively classification; therefore, there's no need explicitly represent target class vector. in torch target such criteria index of assigned class (1 number of classes).


Comments

Post a Comment

Popular posts from this blog

javascript - jQuery: Add class depending on URL in the best way -

i have html progress meter: <div class="col-md-3" style="margin-left: -20px;"> <div class="progress-pos active" id="progess-1"> <div class="progress-pos-inner"> login </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-2"> <div class="progress-pos-inner"> scan items </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-3"> <div class="progress-pos-inner"> confirm address </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-4"> <div class="progress-pos-in...
Read more

caching - How to check if a url path exists in the service worker cache -

i need check if particular url path exists in service worker cache. example, suppose url is: /myserviceworker/service?a=110&b=70 this url exists in cache, there many of them different values of , b. now, suppose want refresh of these urls, how can that? i want know how access key values service worker cache. if know key, plan follows: var url = new url(key); if(url.pathname === "\/myserviceworker/service") refetch key but not sure how cache key , in format is. mean, string or url? cache api has match() method returns promise resolving in response object if match or undefined if no match exists. second parameter object can specify ignoresearch not take account url parameters. the ignoresearch option supported firefox ( chrome status here ). in other hand, retrieve cache entries, can use keys() method.
Read more

Redirect to a HTTPS version using .htaccess -

i need modify .htaccess file redirect urls https version without "www". http://example.com --> https://example.com http://www.example.com --> https://example.com https://www.example.com --> https://example.com this how .htaccess file looks like: rewriteengine on rewritecond %{request_filename} !-d rewritecond %{request_filename} !-f rewriterule ^(.*)$ redirect.php?id=$1&page=$2 [qsa,l] what modifications need make .htaccess in order forward https without "www"? it depends on doing current code. looks file called redirect trying display php page seo friendly url. think might confusing people. anyway, need , force https without www, need 1 more rule above. also second rule needs two capture groups in rewriterule test string because wanting 2 different values using $1 , $2 references. rewriteengine on #rediect www non www and/or http https --- combinations. rewritecond %{http_host} !^example\.com [nc,or] rewritecond %{https} !^...
Read more