Page Comparison

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TensorFlow uses Bazel build system so the first step is to compile Bazel for windows on arm.

Build Bazel

Bazel can be either built from scratch or built using Bazel. Building using another Bazel seems to be the easiest option and we have two options for that.

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The steps given below are similar for above both setups.

Checkout Bazel with windows on arm support

Please check out the following repository for Bazel 4.2.1 source code with win/arm64 support

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Or apply https://github.com/nsait-linaro/bazel/commit/bcfdf9a891900c3123203b6ee7e8c514462b75c6 to Bazel repository

Download Bazel (x64)

TensorFlow compiles only with Bazel version 4.2.1 or below. To build WoA Bazel 4.2.1 it is recommended to use x64 Bazel 4.2.1.

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$env:BAZEL_SH="C:\msys64\usr\bin\bash.exe"
$env:BAZEL_VC="C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC"
$env:JAVA_HOME="C:\Users\niysai01\Downloads\zulu17.30.15-ca-jdk17.0.1-win_aarch64\zulu17.30.15-ca-jdk17.0.1-win_aarch64\"

Compile Bazel (Arm64)

And now you are all set to build Bazel. Please use the following command to build

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You can add bazel.exe to your PATH and will use it for the TensorFlow build.

Build TensorFlow

Checkout TensorFlow

See instructions here: https://www.tensorflow.org/install/source

Apply TensorFlow patch to add windows on arm support

Apply the following patch to your TensorFlow repository.

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Now run python configure.py and default options should work.

Compile TensorFlow

Please use the following command to build TensorFlow

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This will generate the binary python wheel which can be installed with pip install <generated_wheel>.whl

Running TensorFlow Tests

Create a py_test_dir in the TensorFlow directory and add a symlink

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C:\msys64\usr\bin\bash.exe ..\run_test.sh

TensorFlow Test Results

TensorFlow seems to be working fine with examples from https://www.tensorflow.org/tutorials/quickstart/beginner

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Known Issues

There are a few known issues with the TensorFlow build.

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