Errors running compile.sh about dpu-pynq

[balintbarna]

What I found out about the caffe example, is that the target names in arch.json changed in 1.3. I've tried with different target names, but this version only compiles to .xmodel, which does not seem to be supported by dpu-pynq yet.
I am not sure about the tensorflow models.
Using v1.2 of the docker image seems to be the way to go, I could actually actually build a caffe and tf model, however the paths of the models needed to be modified in compile.sh for them.

[Jefferson111]

What I found out about the caffe example, is that the target names in arch.json changed in 1.3. I've tried with different target names, but this version only compiles to .xmodel, which does not seem to be supported by dpu-pynq yet.
I am not sure about the tensorflow models.
Using v1.2 of the docker image seems to be the way to go, I could actually actually build a caffe and tf model, however the paths of the models needed to be modified in compile.sh for them.

Hi, may I know how did you manage to get it to work on v1.2 docker image? I'm assuming you ran this command ./docker_run.sh xilinx/vitis-ai-cpu:1.1.56 instead of ./docker_run.sh xilinx/vitis-ai-cpu:latest? I used this link to check for image.

Subsequently I tried to run ./compile.sh Ultra96 cf_inceptionv1_imagenet_224_224_3.16G but had no luck in compiling :(

I am also getting .xmodel as output for latest version. ><

[balintbarna]

@Jefferson111
I used the GPU image xilinx/vitis-ai:1.2.82 so I cannot speak for vitis-ai-cpu:1.1.56 but compile.sh required some modifications
There were 2 issues, one is the curly braces, the other is that each version of the models have a different folder structure.
check the branches here https://github.com/balintmaci/DPU-PYNQ
There's separate branchesfor v1.0 and v1.2 models

[balintbarna]

resolved by pull request #25