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docs/doc_sources/beginners_guides/index.rst

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@@ -36,7 +36,7 @@ Miscellaneous
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-------------
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* History of ``"dpctl"`` :ref:`name <beginners_guide_why_dpctl>`
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* Frequenty asked questions
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* Frequently asked questions
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.. toctree::
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:hidden:

docs/doc_sources/beginners_guides/installation.rst

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.. _gpu_stack_installation_guide: https://dgpu-docs.intel.com/
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.. note::
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Instructions for setting up GPU drivers in Windows Subsytem for Linux is forthcoming.
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Instructions for setting up GPU drivers in Windows Subsystem for Linux (WSL) is forthcoming.
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Building from source
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====================

docs/doc_sources/beginners_guides/managing_devices.rst

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Device selection
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================
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DPC++ runtime provides a way to select a device with a highest score to for a set of selection scroring strategies.
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DPC++ runtime provides a way to select a device with a highest score to for a set of selection scoring strategies.
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Amongst these are a default selector, CPU selector, GPU selector, as well as filter-string selector.
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Using fixed device selectors

docs/doc_sources/beginners_guides/tensor_intro.rst

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@@ -84,7 +84,7 @@ each one corresponds to the same underlying ``sycl::queue`` object. In such a ca
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.. note::
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Two instances :class:`dpctl.SyclQueue` may target the same ``sycl::device`` and be using the same ``sycl::context``, but correspond
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to different scheduling enties, and hence be in violation of the compute-follows-data requirement. One common example of this are
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to different scheduling entries, and hence be in violation of the compute-follows-data requirement. One common example of this are
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``SyclQueue`` corresponding to default-selected device and using platform default context but created using different properties, e.g.
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one with `"enable_profiling"` set and another without it.
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| "host" | "device" | "shared" | "host" |
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+------------+----------+----------+----------+
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If assignign USM-type "device" a score of 0, USM-type "shared" a score of 1, and USM-type "host" a score of 2,
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If assigning USM-type "device" a score of 0, USM-type "shared" a score of 1, and USM-type "host" a score of 2,
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the USM-type of the output array has the smallest score of all its inputs.
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.. currentmodule:: dpctl.utils

docs/doc_sources/contributor_guides/building.rst

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========================
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To build :py:mod:`dpctl` from the source, you need DPC++ compiler.
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To run expamples and test suite you would need GPU drivers and/or CPU
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To run examples and test suite you would need GPU drivers and/or CPU
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OpenCL drivers. It is preferable to use the Intel(R) oneAPI DPC++ compiler
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available as part of oneAPI Base-Kit. However, it is possible to use a custom
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build of dpcpp to build :py:mod:`dpctl`, especially if you want to enable
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build of DPC++ to build :py:mod:`dpctl`, especially if you want to enable
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CUDA support or try latest features.
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Building using oneAPI dpcpp
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Building using oneAPI DPC++
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---------------------------
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Install oneAPI and graphics drivers to the system prior

docs/doc_sources/contributor_guides/memory_ownership_sycl_interface.rst

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:c:func:`DPCTLDevice_Delete`, represent set of such functions.
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The token ``__dpctl_keep`` indicates that the library does not alter allocation associated
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with the object to which the tocken applies. Functions to query integral device descriptors,
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with the object to which the token applies. Functions to query integral device descriptors,
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such as :c:func:`DPCTLDevice_GetMaxComputeUnits`, are examples of such functions.
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.. code-block:: C

docs/doc_sources/user_guides/basic_concepts.rst

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:func:`dpctl.lsplatform` function. Refer to :ref:`Enumerating available devices <beginners_guide_enumerating_devices>`
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for more information.
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It is possible to select devices from spefic backend, and hence belonging to
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It is possible to select devices from specific backend, and hence belonging to
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the same platform, by :ref:`using <beginners_guide_oneapi_device_selector>`
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``ONEAPI_DEVICE_SELECTOR`` environment variable, or by using
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a :ref:`filter selector string <filter_selector_string>`.
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platforms that support default platform context SYCL extension `sycl_ext_oneapi_default_platform_context`_,
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and only of those allocations that are bound to this default context.
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To query where a particular device ``dev`` belongs to a plaform that implements
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To query where a particular device ``dev`` belongs to a platform that implements
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the default context, check whether ``dev.sycl_platform.default_context`` returns an instance
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of :class:`dpctl.SyclContext` or raises an exception.
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on a targeted SYCL device and using some specific SYCL context.
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Queue constructor generally requires both to be specified. For platforms that support the
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default platform context, a shortcut queue constuctor call that specifies only a device would
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default platform context, a shortcut queue constructor call that specifies only a device would
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use the default platform context associated with the platform given device is a part of.
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.. code-block:: python
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.. note::
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:class:`dpctl.tensor.usm_ndarray` objects one associated with ``q1`` and another associated with ``q2``
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could not be combined in a call to the same function that implementes
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could not be combined in a call to the same function that implements
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:ref:`compute-followed-data programming model <dpctl_tensor_compute_follows_data>` in :mod:`dpctl.tensor`.
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docs/doc_sources/user_guides/environment_variables.rst

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Variable ``ONEAPI_DEVICE_SELECTOR``
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-----------------------------------
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The varible ``ONEAPI_DEVICE_SELECTOR`` can be used to limit the choice of devices
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The variable ``ONEAPI_DEVICE_SELECTOR`` can be used to limit the choice of devices
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available to :py:mod:`dpctl`. Please refer to
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:ref:`Managing Devices <beginners_guide_oneapi_device_selector>` for detailed
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description and :ref:`uses <beginners_guide_oneapi_device_selector_usecase>`.

docs/doc_sources/user_guides/execution_model.rst

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raise dpctl.utils.ExecutionPlacementError
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...
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In order to ensure that compute-follows-data works seemlessly out-of-the-box, :mod:`dpctl` maintains
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In order to ensure that compute-follows-data works seamlessly out-of-the-box, :mod:`dpctl` maintains
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a cache of with context and device as keys and queues as values used by :class:`dpctl.tensor.Device` class.
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.. code-block:: python

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