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Author: david-cortes-intel

doc/sources/algorithms.rst

@@ -21,7 +21,7 @@ Supported Algorithms
 
 .. note::
    To verify that oneDAL is being used for these algorithms, you can enable verbose mode. 
-   See :ref:`verbose mode documentation <verbose>` for details.
+   See :ref:`verbose` for details.
 
 Applying |sklearnex| impacts the following |sklearn| estimators:
 

doc/sources/oneapi-gpu.rst

@@ -28,7 +28,7 @@ The device used for computations can be easily controlled through the ``target_o
 
 For finer-grained controlled (e.g. operating on arrays that are already in a given device's memory), it can also interact with on-device :ref:`array API classes <array_api>` like |dpnp_array|, and with SyCL-related objects from package |dpctl| such as :obj:`dpctl.SyclQueue`.
 
-.. Note:: Note that not every operation from every estimator is supported on GPU - see the :ref:`GPU support table <sklearn_algorithms_gpu>` for more information.
+.. Note:: Note that not every operation from every estimator is supported on GPU - see the :ref:`GPU support table <sklearn_algorithms_gpu>` for more information. See also :ref:`verbose` to verify where computations are performed.
 
 .. important:: Be aware that GPU usage requires non-Python dependencies on your system, such as the `Intel(R) Compute Runtime <https://www.intel.com/content/www/us/en/developer/articles/system-requirements/intel-oneapi-dpcpp-system-requirements.html>`_ (see below).