I’m trying to deploy a model on Xavier AGX using DLA and GPU. All 2D convolutions are implemented on DLA, but two of them are implemented on GPU too. I don’t understand why is this happening. I have read this post: [[Xavier NX + DLA] does not support dynamic shapes, and CBUF size requirement], but I’m not sure that the problem is the same (my Jetpack version is 4.5.1).
I attach the warning with the deployment of layers on GPU and DLA.
I want to use only DLA for this implementation, but I don’t know how to do that.
The message indicates that these layers are not supported by the DLA.
Please note that there is some constraint in the DLA-supported convolution layer.
You can find the details below:
I know that the message indicates that these layers are not supported by the DLA, but I mean that the same convolution layer is “divided” between DLA and GPU. Note that conv2d and conv2d_5 layers are on DLA and GPU at the same time.
The complete layer name is
So they are two different layers.