Hi,
I read the documentation and know that the Minkowski Engine caches all kernel maps automatically. But I want to reuse the kernel map between different networks with the same input tensor to reduce overhead. Is this possible? or specifically, how to get the kernel map from a convolution (or transpose convolution) and set the kernel map to another convolution (or transpose convolution) with the same input shape?
Hi, I read the documentation and know that the Minkowski Engine caches all kernel maps automatically. But I want to reuse the kernel map between different networks with the same input tensor to reduce overhead. Is this possible? or specifically, how to get the kernel map from a convolution (or transpose convolution) and set the kernel map to another convolution (or transpose convolution) with the same input shape?