Thanks a lot!
My platform is Linux, but I will try it on Android.
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Thanks, is there any plan on it?
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Hi @kparzysz
Thank you very much for your detailed reply!
I am currently stuck somewhere trying to make this work. So for starters, I
would like to verify further if the preceding steps I have taken so far are
correct:
My understanding from reading the READ.MD of Hexagon Backend Runtime, fo
In TVM Auto-scheduling, we can use `RecordToFile` to dump measurement records
into a file xxx.json. The measurement records can be used to query the history
best, resume the search, and do more analyses later.
However, is there an interpretation of measurement records (e.g., the meaning
of fi
You can convert TF to TFLite. TFLite Android runtime supports
CPU/GPU/[NNAPI](https://www.tensorflow.org/lite/performance/nnapi)/[Hexagon](https://www.tensorflow.org/lite/performance/hexagon_delegate)
[TFLite image classification
example](https://github.com/tensorflow/examples/tree/master/lite
We don't really support relay compilation for Hexagon at the moment.
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Can we use relay.build to compile TF model for Hexagon target now?
I tried it, but got following error:
`relay.build(mod, target=target, params=params)`
raise RuntimeError("schedule_injective not registered for '%s'" % target)
RuntimeError: schedule_injective not registered for 'hexag
Thanks for your suggestion, but I want to generate assembly code directly, then
call it in C code, with original one, I can call assembly code by the function
call like this: void assembly(int *C,int*A,int *B), and result are correct.
I try to use te.ver() for the output geometry, like this.