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When running each line of main_ADMM_CSNet_test.m in CSNet-Image, I get an error on the following line:
[re_LOss, re_PSnr , re_SSim, rec_image ]= loss_with_gradient_single_before(x0, im_ori, net, mask.picks, mask.perm);
Attempt to execute SCRIPT vl_nnconv as a function: C:\Users\Oliver\Desktop\ADMM-CSNet-master\matlab\vl_nnconv.m Error in dagnn.Conv2D/forward (line 10) outputs{1} = vl_nnconv(inputs{1}, params{1}, params{2}, 'pad', pad1); Error in dagnn.Layer/forwardAdvanced (line 85) outputs = obj.forward(inputs, {net.params(par).value}) ; Error in dagnn.DagNN/eval (line 91) obj.layers(l).block.forwardAdvanced(obj.layers(l)) ; Error in loss_with_gradient_single_before (line 41) net.eval(inputs) ;
Is there a particular way to resolve this to test the code? I'm running this on MATLAB R2018a.
The text was updated successfully, but these errors were encountered:
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When running each line of main_ADMM_CSNet_test.m in CSNet-Image, I get an error on the following line:
[re_LOss, re_PSnr , re_SSim, rec_image ]= loss_with_gradient_single_before(x0, im_ori, net, mask.picks, mask.perm);
Is there a particular way to resolve this to test the code? I'm running this on MATLAB R2018a.
The text was updated successfully, but these errors were encountered: