Hello,
I am not sure if this patient reply to “myself” is worthy of attention but here goes it:
-
Building for Tensorflow on the BBAI-64
a. the current form of bazel in .bazelrc or .bazelversion has not worked for me
b. I am trying other forms of bazel, i.e. from their github repo, i.e. https://github.com/bazelbuild/bazel/releases/download/5.3.0/bazel-5.3.0-linux-arm64 (as things in Linux areusually
backward compatible)
c. Which should I pick outside of the build thatedge_ai_apps
builds? -
I have tried w/ the given configuration but have not gotten far w/ it
a. I think the options in .bazelrc are not for tensorflow on the BBAI-64 but .bazelrc does not recognizenormal
build parameters
b. Um, I could probably go on for ages about my failures so far building
c. Do not worry. I will not.
So far,
- BeagleBoard.org / Edge Ai Apps · GitLab is what I picked up
- I picked it and am trying to build it
- The clone works, the builds at specific times work, and the nodes from the
edge_ai_apps
all give error - I get these nodes from
edge_ai_apps
that I cannot control for now
a. dlpack
b. neo-ai-dlr
c. model_zoo
d. edgeai-tiovx-modules
e. opencv-4.1.0
f. onnxruntime
a. through f. seem to want to build and I know there are reasons why they are not building completely. The reasons
are beyond me currently.
But…w/ all the failure so far, I have come to realize that one man/woman cannot conquer edge_ai_apps by their self.
So, if you have input on how to install one of the libs so far on a. to f. and want to share, please do.
I will keep trying. By the way: PyTorch
works on the BBAI-64 now!
Seth
P.S. I am not hating on edge_ai_apps and I am not discouraging others from conquering it today. I can build most libs. to about 65% to 89% but each one has their own way of erroring at a non zero number
.