Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Document CUDA requirement, lack of external memory on GPU #3624

Merged
merged 2 commits into from
Aug 23, 2018
Merged

Document CUDA requirement, lack of external memory on GPU #3624

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
451a781
Document fact that GPU doesn't support external memory
hcho3 Aug 23, 2018
39c7d85
Document CUDA requirement
hcho3 Aug 23, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions doc/gpu/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,12 @@ XGBoost GPU Support
This page contains information about GPU algorithms supported in XGBoost.
To install GPU support, checkout the :doc:`/build`.

.. note:: CUDA 8.0, Compute Capability 3.5 required

The GPU algorithms in XGBoost require a graphics card with compute capability 3.5 or higher, with
CUDA toolkits 8.0 or later.
(See `this list <https://en.wikipedia.org/wiki/CUDA#GPUs_supported>`_ to look up compute capability of your GPU card.)

*********************************************
CUDA Accelerated Tree Construction Algorithms
*********************************************
Expand Down
4 changes: 4 additions & 0 deletions doc/tutorials/external_memory.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,10 @@ The external memory version takes in the following filename format:
The ``filename`` is the normal path to libsvm file you want to load in, and ``cacheprefix`` is a
path to a cache file that XGBoost will use for external memory cache.

.. note:: External memory is not available with GPU algorithms

External memory is not available when ``tree_method`` is set to ``gpu_exact`` or ``gpu_hist``.

The following code was extracted from `demo/guide-python/external_memory.py <https://github.com/dmlc/xgboost/blob/master/demo/guide-python/external_memory.py>`_:

.. code-block:: python
Expand Down