TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

Impact

NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable

import tensorflow as tf

func = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
para={'a': tf.constant(138, dtype=tf.quint8), 'b': tf.constant(4, dtype=tf.qint8), 'bias': [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], 'min_a': 141.5337138686371, 'max_a': [73.84139251708984, 173.15280151367188], 'min_b': [], 'max_b': [[16.128345489501953, 193.26820373535156]], 'min_freezed_output': [], 'max_freezed_output': [115.50032806396484, 156.974853515625], 'Toutput': 1.0, 'transpose_a': True, 'transpose_b': False, 'input_quant_mode': 'MIN_FIRST'}

func(**para)

Patches

We have patched the issue in GitHub commit 8a47a39d9697969206d23a523c977238717e8727.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

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Attribution

This vulnerability has been reported by r3pwnx