.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "python/rmm-examples/rmm_singlegpu.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_python_rmm-examples_rmm_singlegpu.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_python_rmm-examples_rmm_singlegpu.py:


Using rmm on a single node device
=================================

.. GENERATED FROM PYTHON SOURCE LINES 5-29

.. code-block:: Python


    import rmm
    from sklearn.datasets import make_classification

    import xgboost as xgb

    # Initialize RMM pool allocator
    rmm.reinitialize(pool_allocator=True)
    # Optionally force XGBoost to use RMM for all GPU memory allocation, see ./README.md
    # xgb.set_config(use_rmm=True)

    X, y = make_classification(n_samples=10000, n_informative=5, n_classes=3)
    dtrain = xgb.DMatrix(X, label=y)

    params = {
        "max_depth": 8,
        "eta": 0.01,
        "objective": "multi:softprob",
        "num_class": 3,
        "tree_method": "hist",
        "device": "cuda",
    }
    # XGBoost will automatically use the RMM pool allocator
    bst = xgb.train(params, dtrain, num_boost_round=100, evals=[(dtrain, "train")])


.. _sphx_glr_download_python_rmm-examples_rmm_singlegpu.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: rmm_singlegpu.ipynb <rmm_singlegpu.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: rmm_singlegpu.py <rmm_singlegpu.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: rmm_singlegpu.zip <rmm_singlegpu.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_