I am willing to modify tim-vx as the entire graph can be divided into subgraphs so that i can run the entire neural network seperated. The implementation of tim-vx shows that the input output tensor of the graph has a handle(memory allocated). According to my understanding of openVX, it seems that graph can have virtual tensor as input output, and I wonder if this is possible at the vsi_ level.
Hello,
I am willing to modify tim-vx as the entire graph can be divided into subgraphs so that i can run the entire neural network seperated. The implementation of tim-vx shows that the input output tensor of the graph has a handle(memory allocated). According to my understanding of openVX, it seems that graph can have virtual tensor as input output, and I wonder if this is possible at the vsi_ level.
Thank you!