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@mmajchrzycki mmajchrzycki commented Oct 1, 2025

This PR adds several improvements:

  • support for multiple impulses
  • option for selecting different inference engines
  • ability to select different model types (float32/int8)
  • integration tests

Fixes edgeimpulse/edgeimpulse#13393

@mmajchrzycki mmajchrzycki self-assigned this Oct 1, 2025
| `api_key` | YES | Your project number (see instruction below) |
| `impulse_id` | NO | Impulse ID. If this is unset then the default impulse is used |
| `engine` | NO | Inferencing engine type. See [docs for details](https://docs.edgeimpulse.com/apis/studio/jobs/build-on-device-model#body-engine) |
| `deployment_type` | NO | Type of the deployment, default is `zip` |

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Do we have documented somewhere in our docs the different deployment_type ?

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I don't think so, as it is not a part of the API, but Studio code. I will request from Dev Rel team to provide a solution for listing all deployment types.

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Just update the readme

@francovaro francovaro self-requested a review October 8, 2025 12:28
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Tested, works.

@mmajchrzycki mmajchrzycki merged commit 68c4ab6 into main Oct 9, 2025
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3 participants