It just signals the Pytorch to use the fastest implementation available for operations such as Convolution etc. when enabled, they usually consume more memory (that is cudnn.benchmark and cudnn.fastest)
It just signals the Pytorch to use the fastest implementation available for operations such as Convolution etc. when enabled, they usually consume more memory (that is cudnn.benchmark and cudnn.fastest)