EmptyCities_SLAM
EmptyCities_SLAM copied to clipboard
Train.lua Line 340 throws up error ""weights input should be 1-D Tensor""
Hi @BertaBescos
Thanks for open sourcing your code.
I came across an issue at Line 340, in train.lua
You pass matrix to BCECriterionLoss which accepts only one-dimensional vector, which throws an error ""weights input should be 1-D Tensor"
Fulle Error: /home/prashant/torch/install/bin/luajit: ...prashant/torch/install/share/lua/5.1/nn/BCECriterion.lua:12: weights input should be 1-D Tensor stack traceback: [C]: in function 'assert' ...prashant/torch/install/share/lua/5.1/nn/BCECriterion.lua:12: in function '__init' /home/prashant/torch/install/share/lua/5.1/torch/init.lua:91: in function </home/prashant/torch/install/share/lua/5.1/torch/init.lua:87> [C]: in function 'BCECriterion' train.lua:339: in function 'opfunc' /home/prashant/torch/install/share/lua/5.1/optim/adam.lua:37: in function 'adam' train.lua:591: in main chunk [C]: in function 'dofile' ...hant/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk [C]: at 0x00405d50
I tried to reshape the vector to one dimensional which throws up an error.
The line 339: criterionDDiscriminator = nn.BCECriterion(weightsDiscriminator) is expecting 1-D tensor as input to BCECriterion whereas the "weightsDiscriminator" is not one-dimensional I an running CUDA 9.0 with cuDNN 5. It doesn't look like any compatibility issue with CUDA or any such thing.
Can you shed some light here? It would of great help.
Thanks, Prashant
Replacing BCECriterion with WeightedBCECriterion on line 339 which is defined in criterion.lua solves this issue