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nvd-json-data-feeds/CVE-2022/CVE-2022-292xx/CVE-2022-29212.json
cad-safe-bot 5fc0b01395 Auto-Update: 2024-12-15T03:00:19.262894+00:00
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{
"id": "CVE-2022-29212",
"sourceIdentifier": "security-advisories@github.com",
"published": "2022-05-21T00:15:11.720",
"lastModified": "2024-11-21T06:58:43.800",
"vulnStatus": "Modified",
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{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En versiones anteriores a 2.9.0, 2.8.1, 2.7.2 y 2.6.4, algunos modelos TFLite creados con el convertidor de modelos TFLite eran bloqueados cuando eran cargados en el int\u00e9rprete TFLite. El culpable es que durante la cuantificaci\u00f3n la escala de los valores pod\u00eda ser mayor que 1 pero el c\u00f3digo siempre asum\u00eda una escala de subunidades. As\u00ed, como el c\u00f3digo llamaba a \"QuantizeMultiplierSmallerThanOneExp\", la aserci\u00f3n \"TFLITE_CHECK_LT\" era disparada y abortaba el proceso. Las versiones 2.9.0, 2.8.1, 2.7.2 y 2.6.4 contienen un parche para este problema"
}
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