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Add instructions on how to support GPU with TFJava 1.0.0#565

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karllessard merged 3 commits intotensorflow:masterfrom
karllessard:update-gpu-doc
Nov 1, 2024
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Add instructions on how to support GPU with TFJava 1.0.0#565
karllessard merged 3 commits intotensorflow:masterfrom
karllessard:update-gpu-doc

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@karllessard
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Craigacp
Craigacp previously approved these changes Nov 1, 2024
@crutcher
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crutcher commented Nov 1, 2024

This section in CONTRIBUTING.md still describes how to build tensorflow-core-platform-gpu; which seems to also somehow be defined in the poms?

To build for GPU, pass -Djavacpp.platform.extension=-gpu to maven. If you want to use TensorFlow Java with unsupported GPUs, set the environment variable TF_CUDA_COMPUTE_CAPABILITIES, or configure it in a bazel rc file (i.e. build --action_env TF_CUDA_COMPUTE_CAPABILITIES="6.1").

@Craigacp
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Craigacp commented Nov 1, 2024

javacpp.platform.extension is not related to tensorflow-core-platform-gpu, the use of platform in both names doesn't imply anything. Setting the extension triggers the GPU build, but it makes a tensorflow-core-native:linux-x86_64-gpu artifact.

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To do a custom native build that supports GPU (with the GPU of your choice) you need to pass -Djavacpp.platform.extension=-gpu in addition to -Pnative-build

(I just noticed that the doc actually says -Dnative-build but -Pnative-build would also work and sounds better, I'll update that as well)

@karllessard karllessard merged commit fb3f393 into tensorflow:master Nov 1, 2024
@karllessard karllessard deleted the update-gpu-doc branch November 1, 2024 20:28
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