[CI] Automatically build GPU-enabled R package for Windows (#7185)
* [CI] Automatically build GPU-enabled R package for Windows * Update Jenkinsfile-win64 * Build R package for the release branch only * Update install doc
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@@ -61,9 +61,12 @@ R
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and then run ``install.packages("xgboost")``. Without OpenMP, XGBoost will only use a
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single CPU core, leading to suboptimal training speed.
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* We also provide **experimental** pre-built binary on Linux x86_64 with GPU support.
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* We also provide **experimental** pre-built binary with GPU support. With this binary,
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you will be able to use the GPU algorithm without building XGBoost from the source.
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Download the binary package from the Releases page. The file name will be of the form
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``xgboost_r_gpu_linux_[version].tar.gz``. Then install XGBoost by running:
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``xgboost_r_gpu_[os]_[version].tar.gz``, where ``[os]`` is either ``linux`` or ``win64``.
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(We build the binaries for 64-bit Linux and Windows.)
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Then install XGBoost by running:
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.. code-block:: bash
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@@ -142,9 +145,11 @@ R
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-
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Other than standard CRAN installation, we also provide *experimental* pre-built binary on
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Linux x86_64 with GPU support. You can go to `this page
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with GPU support. You can go to `this page
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<https://s3-us-west-2.amazonaws.com/xgboost-nightly-builds/list.html>`_, Find the commit
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ID you want to install: ``xgboost_r_gpu_linux_[commit].tar.gz``, download it then run:
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ID you want to install and then locate the file ``xgboost_r_gpu_[os]_[commit].tar.gz``,
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where ``[os]`` is either ``linux`` or ``win64``. (We build the binaries for 64-bit Linux
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and Windows.) Download it and run the following commands:
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.. code-block:: bash
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