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source/conf/common_conf.py

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@@ -33,8 +33,8 @@ def path_relative_to_repo_root(relative_path):
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env = {
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'oneapi_version': '0.8',
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'l0_version': '0.91',
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'oneapi_version': '0.85',
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'l0_version': '0.95',
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}
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prolog_template = string.Template("""

source/versions.rst

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======== ========== =========
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Version Date View
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======== ========== =========
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`0.85`_ 06/29/2020 `HTML <https://spec.oneapi.com/versions/0.85/>`__ `PDF <https://spec.oneapi.com/versions/0.85/oneAPI-spec.pdf>`__
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`0.8`_ 05/29/2020 `HTML <https://spec.oneapi.com/versions/0.8/>`__ `PDF <https://spec.oneapi.com/versions/0.8/oneAPI-spec.pdf>`__
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`0.7`_ 03/26/2020 `HTML <https://spec.oneapi.com/versions/0.7/>`__ `PDF <https://spec.oneapi.com/versions/0.7/oneAPI-spec.pdf>`__
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`0.5`_ 11/17/2019 `HTML <https://spec.oneapi.com/versions/0.5.0/>`__
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Release Notes
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=============
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0.85
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----
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* oneVPL
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* High-performance video decode supporting MPEG-2, MPEG-4/H.264/AVC,
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H.265/HEVC, AV1, VP9, MJPEG;
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* High-performance video encode supporting MPEG-2, MPEG-4/H.264/AVC,
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H.265/HEVC, AV1, VP9, MJPEG;
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* Video processing for composition, alpha blending, deinterlace,
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resize, rotate, denoise, procamp, crop, detail, frame rate
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conversion, and color conversion.
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* oneDNN
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* Added individual primitive definitions providing mathematical
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operation definitions and explaining details of their use
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* Expanded the programming model section explaining device
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abstraction and its interoperability with DPC++
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* Added the data model section explaining supported data types and
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memory layouts
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* Added specification for primitive attributes explaining, among
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other things, low-precision inference and bfloat16 training
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0.8
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---
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* Level Zero
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* Updated to 0.95
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* oneMKL
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* Continuing modifications to oneMKL Architecture and BLAS domain
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* Significant refactoring and updating of LAPACK domain API
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descriptions and structure.
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* oneTBB
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* Significant rewrite and reorganization
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* oneDAL
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* Extended description of Data Management component, added
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description of basic elements of algorithms, and error handling
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mechanism
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* Added description of namespaces and structure of the header files
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* Added specification of kNN algorithm
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* Introduced math notations section, extended glossary section
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* oneDNN
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* Detailed descriptions for data model (tensor formats and data
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types), and execution models
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0.7
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---
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