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).

Error while loading OpenAPI operation — Invalid OpenAPI document

cURL

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/profile-tflite \
  --header 'content-type: application/json' \
  --header 'x-jwt-token: REPLACE_KEY_VALUE' \
  --data '{"tfliteFileBase64":"string","device":"string","referenceModel":"gestures-large-f32"}'

Python

import http.client

conn = http.client.HTTPSConnection("studio.edgeimpulse.com")

payload = "{\"tfliteFileBase64\":\"string\",\"device\":\"string\",\"referenceModel\":\"gestures-large-f32\"}"

headers = {
    'content-type': "application/json",
    'x-jwt-token': "REPLACE_KEY_VALUE"
    }

conn.request("POST", "/v1/api/{projectId}/jobs/profile-tflite", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

Node.js

const request = require('request');

const options = {
  method: 'POST',
  url: 'https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/profile-tflite',
  headers: {'content-type': 'application/json', 'x-jwt-token': 'REPLACE_KEY_VALUE'},
  body: {
    tfliteFileBase64: 'string',
    device: 'string',
    referenceModel: 'gestures-large-f32'
  },
  json: true
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});