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Currently we use 1e-6f as accuracy for Web ML performance score, while Android NN CTS uses 1e-5f or 5.0f * 0.0009765625f for relaxed mode from **executeWithCompilation** function in https://android.go…
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**Test Env:**
Chromium Version : nightly build 65.0.3324.0 (revision f9e1a31)
OS : Mac OS
webml-polyfill: commit be6d3ef
**Expected Result:**
No error occurs
**Actual Result:**
Issue a…
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The test case is hosted at https://huningxin.github.io/tfjs-converter/demo/mobilenet_dist
My test reports:
![screenshot from 2018-05-24 15-03-50](https://user-images.githubusercontent.com/100567…
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**Test Env:**
Chromium Version : nightly build 65.0.3324.0 (revision f9e1a31)
OS : Mac OS
webml-polyfill: commit [be6d3ef](https://github.com/intel/webml-polyfill/commit/be6d3ef08896964a82e6afe80b7…