Keras and TensorFlow version mismatch in l4t-tensorflow:r32.7.1-tf2.7-py3

[vvsotnikov]

Hi! l4t-tensorflow:r32.7.1-tf2.7-py3 has incompatible versions of TensorFlow and Keras:

root@jetson-nano-test:/# python3 
Python 3.6.9 (default, Dec  8 2021, 21:08:43) 
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
>>> import keras
>>> print(tensorflow.__version__, keras.__version__)
2.7.0 2.8.0

This will lead to error when using Keras, for example:

import tensorflow as tf
mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation='softmax')
])

model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test)

This code will raise AttributeError: module 'tensorflow.compat.v2.__internal__.distribute' has no attribute 'strategy_supports_no_merge_call' which was investigated in tensorflow/tensorflow#53510. pip3 install keras==2.7.0 fixes the problem.

Keras's version should be pinned to 2.7.0 to fix the error. Thanks in advance!