Profile TFLite model

Profile TFLite model

Takes in a TFLite model and returns the latency, RAM and ROM used for this model. Updates are streamed over the websocket API (or can be retrieved through the /stdout endpoint). Use getProfileTfliteJobResult to get the results when the job is completed.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/jobs/profile-tflite

Path parameters

projectId*integer

Project ID

Body

application/json

tfliteFileBase64*string

A base64 encoded TFLite file

device*string

MCU used for calculating latency, query latencyDevices in listProject for a list of supported devices (and use the "mcu" property here).

Response

200

OK

Body

application/json

success*boolean

Whether the operation succeeded

errorstring

Optional error description (set if 'success' was false)

id*integer

Job identifier. Status updates will include this identifier.

Example: 12873488112

Request

JavaScriptCurlPython

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/profile-tflite', {
    method: 'POST',
    headers: {
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "tfliteFileBase64": "text",
      "device": "text"
    }),
});
const data = await response.json();

Response

200

{
  "success": false,
  "error": "text",
  "id": 12873488112
}