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loading into ECAP fails #20
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I'll look into this, the prerequisite my be wrong. |
Hi @HeSe Unfortunately, we don't have ARM 64 support in our VAST 10 ECAP. The latest one that has been published with ARM 64 support was an ECAP of VAST 92. More precisely, the following: VA Smalltalk V9.2 (64-bit); Image: 9.2 [437] So... this was build 437 (an early build of VAST 9.2) with the final (golden release) build being 453. Could you please tell me if this is the same ECAP you were using (437)? If not, I can share this one and we can start from here. |
In any case, assuming you have 437, you would have to:
We can try to reproduce this. |
I think the version I have is the one that you handed out with the Pi Zeros at the Camp Smalltalk in Charlotte,NC. Loaded Tonel 1.74 The main issue seems to be that SUnit from VAST 9.2.2 is referenced in the SUnit Tonel package for tensor-flow-vast. |
Hi!
I am trying to load tensorflow-vast into my ECAP image that is running on a Jetson Nano.
I successfully loaded Tonel 1.74 into this image. The v1.3 Tonel version can't be loaded because my ECAP image does not have the newest required SUnit maps available.
Loading tensorflow-vast into this image via the application manager fails due to a missing subordinate related to TFInput during the loading process.
Loading the code via the following script also fails because the SUnit prerequisite 'z.ST: SUnit V 9.2.2 [002]'
is missing in my image
| loader path |
path := (CfsPath named: '').
loader := TonelLoader readFromPath: path.
loader
beUnattended; "do not prompt and use all defaults"
useGitVersion.
loader loadAllMapsWithRequiredMaps.
Is there a newer ECAP release available for the Jetson Nano?
If not, how can I load an older version of this repo that works with the 'ECAP VAST 9.0.0' release on a nvidia jetson?
Thank you!
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