As discussed in this thread , NVIDIA doesn’t include the tensorflow C libs, so we have to build it ourselves from the source . For Jetpack 4.6.1, the compatibility table says tensorflow version 2.7.0. Can I directly take the open source tensorflow 2.7.0 to build, or is there a special nvidia patched …

Hi, Unfortunately, TensorFlow is a third-party library rather than ours. You will need to check with the team to solve the compatibility issue. If possible, it’s still recommended to upgrade to JetPack 5.0 for a better experience. Thanks.

Tensorflow 2.7 and Jetpack 4.6.1

Robotics & Edge Computing Jetson Systems Jetson AGX Xavier

user100090 April 5, 2022, 7:54am 7

I see similar errors in this thread.
Any patches? @dusty_nv

Topic		Replies	Views
Compatibility between Jetpack 4.6.1, cuda 10.2 and Tensorflow Jetson AGX Xavier jetpack , cuda , tensorflow	7	1601	July 13, 2022
Installing Tensorflow 2.7.0 with Python 3.7 on Jetson Nano with JetPack 4.6.1 Jetson Nano tensorflow	6	3061	June 29, 2023
Tensorflow version requirements Jetson Xavier NX tensorflow , jetson-inference	4	935	June 29, 2022
Is Tensorflow 2.0 on Jetson TX2 supported? Jetson TX2	19	4693	October 18, 2021
Tensorflow 2.1.0 for JetPack 4.4 was incorrectly build with V1.x API setting Jetson Xavier NX tensorflow	7	1046	October 18, 2021
Building TensorFlow v1.4.1 from source on virtual environment created with python 2.7 on jetpack 4.5.1 Jetson Xavier NX tensorflow	3	867	October 10, 2021
Please help - Trouble compiling TF 1.14 CP37 GPU Cuda and TensorRT Jetson AGX Xavier tensorflow	9	1270	October 18, 2021
TF-TRT breaking on simple MNIST model Jetson AGX Xavier tensorrt	7	856	April 6, 2022
Tensorflow 2.x on Jetson nano Jetson Nano tensorflow	23	7521	October 18, 2021
Tensorflow compatibilty issue Jetson Nano tensorflow	9	356	September 26, 2024

Tensorflow 2.7 and Jetpack 4.6.1

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