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Executorch Android runtime library hardcoded for demo app only #1199
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Hi, Approximately when will I be able to proceed with my work installing the executor runtime and running my model for inference in my Android application? I realize that this probably is not your highest priority. At the same time, it will be necessary for developers to be able to integrate models in their Android apps and run them for inference using the executorch platform. |
Hi @adonnini, For that I can imagine moving Java bindings as well as Java classes out in a stand-alone lib, would be helpful as immediate follow up (For longer term we need to think through this though). Would you be able to work around by refactoring the code in a way that makes all that code standalone and importable? Otherwise, it will have to wait maybe a couple of months. |
Since this is a feature request, we will also have to assign an owner who will implement this |
I would rather wait for the Java API which is part of the executorch platform and, in the meantime, try your refactoring suggestion. This issue was opened to highlight the need for the Java API in order to add the Executorch runtime to Android applications other than the example one. |
@kimishpatel would you mind clarifying a little what you meant by |
Some good news. LOGCAT
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Some thoughts about this latest problem.
By the way, when using pytorch mobile to run inference using the same model no such problme occurs. What do you think? Did you get a chance to take a look at the logcat in the preceding comment? Thanks |
I opened |
@adonnini Can this issue be closed now? Please reopen if the issue is still persisting |
@mergennachin Yes, Thanks |
The runtime executorch library for Android currently is hard coded for use with the demo app only.
This makes it impossible to use it for other Android applications.
Could something be done to allow use with other Android applications while waiting for the release of the exeucotorch Java API?
Thanks
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