i’m using a Jetson AGX Xavier with Jetpack 4.3.
I’m trying to generate an tensorrt engine for one DLA core.
At the output i get following error:
Internal DLA error for layer conv1. Use allowGPUFallback() to enable GPU fallback.
The picture shows the layer conv1 with the parameters.
According to this Developer Guide :: NVIDIA Deep Learning TensorRT Documentation i don’t find the reason why the convolutional layer is not supported?
Batch size of 1 is used and the dimensions for building and runtime are the same.
Also the tensor data is less than 1 GB and fp16 is used. Furthermore the kernel dimensions, padding and stride are in the supported range.
Thanks in advance.