Hi we trying to train our own dataset using the pretrained model “googlenet” on digits ver -5
The CUDA ver is 8 and CUDNN ver is 6.
The host PC has NVIDIA Geforce graphic card 820M but its architecture supports Fermi.Since TX1 is based on Maxwell architecture we want to train the model on CPU only mode and port the model to JetsonTX1.
we modified the file " make config in caffee" to make digits use only CPU. but the training failed with the following error.
ERROR: Check failed : status == CUDDNN_STATUS_SUCCESS(3 vs 0)CUDNN_STATUS_BADPARAM