roboticarm2000

thanks. I'll give it a shot.

The output was generated using conda with tensorflow cpu 2.3.0 vs the master branch of k2c on windows.

The C code above had dilation=0. When I run it with dilation=1, I get closer results but there is a different shift when the stride is 2. 

I was able to match the k2c conv2d with keras. The trick is to specify the padding and the size of the padded image according to the rules in https://www.tensorflow.org/api_docs/python/tf/nn#notes_on_padding_2....