CVE-2022-35952

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The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."}, {"lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. La funci\u00f3n \"UnbatchGradOp\" toma un argumento \"id\" que se supone que es un escalar. Un \"id\" no escalar puede desencadenar un fallo de \"CHECK\" y bloquear el programa. Tambi\u00e9n requiere que su argumento \"batch_index\" contenga tres veces el n\u00famero de elementos indicado en su \"batch_index.dim_size(0)\". Un \"batch_index\" incorrecto puede desencadenar un fallo de \"CHECK\" y bloquear el programa. Hemos parcheado el problema en el commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2 de GitHub. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.10.0. Tambi\u00e9n seleccionaremos este compromiso en TensorFlow versi\u00f3n 2.9.1, TensorFlow versi\u00f3n 2.8.1, y TensorFlow versi\u00f3n 2.7.2, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda est\u00e1n en el rango admitido. 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