TensorFlow 2.21 GPU wheel for JetPack 7.2 / Jetson Orin

I built and tested a prebuilt TensorFlow 2.21.0 GPU wheel for Jetson Orin
running JetPack 7.2.

Repository:

Supported environment:

  • Jetson AGX Orin, Orin NX, Orin Nano
  • JetPack 7.2
  • Ubuntu 24.04
  • Python 3.12
  • aarch64
  • CUDA GPU support
  • sm_87

Install:

pip install https://github.com/RitishKam/tensorflow-jetson-jp7/releases/download/v2.21.0-jp7.2/tensorflow_jetson_jp7-2.21.0+jp7.2.cu12-cp312-cp312-manylinux_2_27_aarch64.whl

The build currently passes 30/30 GPU tests, including:

  • cuBLAS
  • cuDNN
  • XLA
  • Keras training
  • mixed precision
  • SavedModel
  • TFLite conversion

The goal is to make GPU-enabled TensorFlow easier to install on JetPack 7,
without manual LD_LIBRARY_PATH configuration.

I would especially appreciate testing reports from Orin NX and Orin Nano users.

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