eerobert
eerobert
I have a network trained with pixel/255.0 as normalized input however, i cannot get the correct results. i wonder do chaidnn accept input of pixels/255.0 as input layer? any examples?
Clean install v1.3 And after create ml-suite conda envrionment, when running python -c "import caffe" it reports the above error. Any comments?
Hi I was trying to go thru the 09-Ethernet-Alveo using LANE=4 However, vitis was not able to complete the implementation and leaving an error of below [Constraints 18-1000] Routing results...
Instead, using the Train-time binary_net.py and binarized weights to perform inference I tried to modify the original train-time cifar10.py to do inference, but without success.
Maybe my algebra is not good enough. Would like to know more on how to breakdown (1 * 16) * (16* 16) matrix into multiple of (1 * 2) *...