deeplearning Matlab is not compatible with graphics card
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i use parallel.gpu.enableCUDAForwardCompatiblity function. but i found when network input size is 1*400*1,train samples number is 16800.batchsize even 1000,i can train,and get a good result.but the other network,input is 1*60*1,when batchsize maybe over 256,than network be very wrose.acc is 1/(number of class).ie i have 4 clsass,then is 25%.batchsize lower 256,nertwork works very well. when input is 50*64*1,then any batchsize is wrose.
my matlab is 2020b.graphics card is 3090.
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Joss Knight
on 10 Jan 2021
As explained in the documentation, both for CUDA support and for the enableForwardCompatibility function, "Enabling forward compatibility can result in wrong answers and unexpected behavior during GPU computations".
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