What's the rules that cudnn convolution select fp32 vector core and tf32 tensor core?

Hi,

device: A100;

For cudnn function “CuDNN (v8400) function cudnnConvolutionForward()” and convoluton params:
x, w, y dataType =CUDNN_DATA_FLOAT ;
mode: CUDNN_CROSS_CORRELATION;
mathType: CUDNN_FMA_MATH;
layout: NCHW;

I found that cudnn will select fp32 vector core or tf32 tensor for different shape(n c h w, r, s, stride and dilation);
What’s rules that cudnn convoluton select fp32 vector core and tf 32 tensor core based on shapes?

Hi @zhang662817 ,

Apologies for the delay.
Are you still facing the issue?