It installs fine, but I believe 2.4 requires CPU AVX support. Importing it via Python3 results in core dump. Perhaps you've run into this before, and I'm doing something wrong?

My Jetpack = 4.5.1

pip3 install ~/tensorflow-2.3.1-cp36-cp36m-linux_aarch64.whl

ERROR: tensorflow-2.3.1-cp36-cp36m-linux_aarch64.whl is not a supported wheel on this platform.

I'm facing this error when trying to run my rnn which runs well in google colab.
Traceback (most recent call last): File "rnn_prediction.py", line 30, in <module> from keras.models import Sequential File "/home/***/.local/lib/python3.6/site-packages/keras/__init__.py", line 20, in <module> from keras import distribute File "/home/***/.local/lib/python3.6/site-packages/keras/distribute/__init__.py", line 18, in <module> from keras.distribute import sidecar_evaluator File "/home/***/.local/lib/python3.6/site-packages/keras/distribute/sidecar_evaluator.py", line 22, in <module> from keras.optimizers.optimizer_experimental import ( File "/home/***/.local/lib/python3.6/site-packages/keras/optimizers/__init__.py", line 25, in <module> from keras import backend File "/home/***/.local/lib/python3.6/site-packages/keras/backend.py", line 32, in <module> from keras import backend_config File "/home/***/.local/lib/python3.6/site-packages/keras/backend_config.py", line 33, in <module> @tf.__internal__.dispatch.add_dispatch_support AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'dispatch'
Any brave ideas, how to overcome this, are much appreciated!

Hi Team, do you have the wheel for python 3.8 with Cuda support for 10.2? I am trying to build Ubuntu 20.04 image