GPU: RTX 3090
CUDA 11.1
CUDNN 8.0.5
driver 457.30
windows10 vs2019
It is particularly interesting to compare 2d conv with 3d conv in fwd algo 1.
2d conv setting:
b=1,inc = 240,inw=10,inh=10,filter size(1,1),padding(0,0),stride(1,1),dilation(1,1); outc = 80,outw=10,outh=10, fwd algo:1.
3d conv setting
b=1,inc = 240,ind = 1,inw=10,inh=10,filter size(1,1,1),padding(0,0,0),stride(1,1,1),dilation(1,1,1); outc = 80, outd=1,outw=10,outh=10,fwd algo:1.
the value returned by cudnnConvolutionForward is not same, the workspace size is also different , why?
GPU:1080ti,cuda 10.0,cudnn 7.6.5,windows10 vs2015
the returned value is binary same.