Accepting request 1208543 from science:machinelearning

OBS-URL: https://build.opensuse.org/request/show/1208543
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/openvino?expand=0&rev=6

_service

@@ -2,8 +2,8 @@
   <service name="obs_scm" mode="manual">
     <param name="url">https://github.com/openvinotoolkit/openvino.git</param>
     <param name="scm">git</param>
-    <param name="revision">2024.3.0</param>
+    <param name="revision">2024.4.0</param>
-    <param name="version">2024.3.0</param>
+    <param name="version">2024.4.0</param>
     <param name="submodules">enable</param>
     <param name="filename">openvino</param>
     <param name="exclude">.git</param>

openvino-2024.3.0.obscpio

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bacc2b9540afda6c5bd6d17ddea35afe17caefdd4fa1a350ed1c8be2eb290981
-size 1055294991

openvino-2024.4.0.obscpio

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fde6d7a29c8284b72866b02b37f6eaff9143f4a3b05f48a098d4965cc53c9248
+size 1102958095

openvino.changes

@@ -1,3 +1,117 @@
+-------------------------------------------------------------------
+Tue Oct 15 00:56:54 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
+
+- Temporarily inserted gcc-13 in Tumbleweed/Factory/Slowroll: 
+  Because there is an incompatibility of the source code of the 
+  level-zero library and npu module with gcc-14. I am working 
+  with Intel on tests to return to native gcc.
+- Update to 2024.4.0
+- Summary of major features and improvements  
+  * More Gen AI coverage and framework integrations to minimize
+    code changes
+    + Support for GLM-4-9B Chat, MiniCPM-1B, Llama 3 and 3.1,
+      Phi-3-Mini, Phi-3-Medium and YOLOX-s models.
+    + Noteworthy notebooks added: Florence-2, NuExtract-tiny
+      Structure Extraction, Flux.1 Image Generation, PixArt-α:
+      Photorealistic Text-to-Image Synthesis, and Phi-3-Vision
+      Visual Language Assistant.
+  * Broader Large Language Model (LLM) support and more model
+    compression techniques.
+    + OpenVINO™ runtime optimized for Intel® Xe Matrix Extensions
+      (Intel® XMX) systolic arrays on built-in GPUs for efficient
+      matrix multiplication resulting in significant LLM
+      performance boost with improved 1st and 2nd token
+      latency, as well as a smaller memory footprint on
+      Intel® Core™ Ultra Processors (Series 2).
+    + Memory sharing enabled for NPUs on Intel® Core™ Ultra
+      Processors (Series 2) for efficient pipeline integration
+      without memory copy overhead.
+    + Addition of the PagedAttention feature for discrete GPUs*
+      enables a significant boost in throughput for parallel
+      inferencing when serving LLMs on Intel® Arc™ Graphics
+      or Intel® Data Center GPU Flex Series.
+  * More portability and performance to run AI at the edge,
+    in the cloud, or locally.
+    + OpenVINO™ Model Server now comes with production-quality
+      support for OpenAI-compatible API which enables i
+      significantly higher throughput for parallel inferencing
+      on Intel® Xeon® processors when serving LLMs to many
+      concurrent users.
+    + Improved performance and memory consumption with prefix
+      caching, KV cache compression, and other optimizations
+      for serving LLMs using OpenVINO™ Model Server.
+    + Support for Python 3.12.
+- Support Change and Deprecation Notices
+  * Using deprecated features and components is not advised.
+    They are available to enable a smooth transition to new
+    solutions and will be discontinued in the future.
+    To keep using discontinued features, you will have to
+    revert to the last LTS OpenVINO version supporting them.
+    For more details, refer to the OpenVINO Legacy Features
+    and Components page.
+  * Discontinued in 2024.0:
+    + Runtime components:
+      - Intel® Gaussian & Neural Accelerator (Intel® GNA).
+        Consider using the Neural Processing Unit (NPU) for
+        low-powered systems like Intel® Core™ Ultra or
+        14th generation and beyond.
+      - OpenVINO C++/C/Python 1.0 APIs (see 2023.3 API
+        transition guide for reference).
+      - All ONNX Frontend legacy API (known as
+        ONNX_IMPORTER_API)
+      -'PerfomanceMode.UNDEFINED' property as part of the
+        OpenVINO Python API
+    + Tools:
+       - Deployment Manager. See installation and deployment
+         guides for current distribution options.
+       - Accuracy Checker.
+       - Post-Training Optimization Tool (POT). Neural Network
+         Compression Framework (NNCF) should be used instead.
+       - A Git patch for NNCF integration with huggingface/
+         transformers. The recommended approach is to use
+         huggingface/optimum-intel for applying NNCF
+         optimization on top of models from Hugging Face.
+       - Support for Apache MXNet, Caffe, and Kaldi model
+         formats. Conversion to ONNX may be used as a
+         solution.
+  * Deprecated and to be removed in the future:
+    + The macOS x86_64 debug bins will no longer be
+      provided with the OpenVINO toolkit, starting with
+      OpenVINO 2024.5.
+    + Python 3.8 is now considered deprecated, and it will not
+      be available beyond the 2024.4 OpenVINO version.
+    + dKMB support is now considered deprecated and will be
+      fully removed with OpenVINO 2024.5
+    + Intel® Streaming SIMD Extensions (Intel® SSE) will be
+      supported in source code form, but not enabled in the
+      binary package by default, starting with OpenVINO 2025.0
+    + The openvino-nightly PyPI module will soon be discontinued.
+      End-users should proceed with the Simple PyPI nightly repo
+      instead. More information in Release Policy.
+    + The OpenVINO™ Development Tools package (pip install
+      openvino-dev) will be removed from installation options and
+      distribution channels beginning with OpenVINO 2025.0.
+    + Model Optimizer will be discontinued with OpenVINO 2025.0.
+      Consider using the new conversion methods instead. For more
+      details, see the model conversion transition guide.
+    + OpenVINO property Affinity API will be discontinued with
+      OpenVINO 2025.0. It will be replaced with CPU binding
+      configurations (ov::hint::enable_cpu_pinning).
+    + OpenVINO Model Server components:
+      - “auto shape” and “auto batch size” (reshaping a model in
+      runtime) will be removed in the future. OpenVINO’s dynamic
+      shape models are recommended instead.
+    + A number of notebooks have been deprecated. For an
+      up-to-date listing of available notebooks, refer to the
+      OpenVINO™ Notebook index (openvinotoolkit.github.io).
+
+-------------------------------------------------------------------
+Wed Oct  2 20:56:59 UTC 2024 - Giacomo Comes <gcomes.obs@gmail.com>
+
+- Add Leap15 build
+- Remove comment lines in the spec file that cause the insertion
+  of extra lines during a commit
+
 -------------------------------------------------------------------
 Sat Aug 10 01:41:06 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
 

openvino.obsinfo

@@ -1,4 +1,4 @@
 name: openvino
-version: 2024.3.0
+version: 2024.4.0
-mtime: 1721394417
+mtime: 1725541792
-commit: 1e3b88e4e3f89774923e04e845428579f8ffa0fe
+commit: c3152d32c9c7df71397e5a3aba1d935c49eec598

openvino.spec

@@ -17,17 +17,27 @@
 #
 
 
-# Note: Will not build on Leap:15.X on account of too old TBB
+%if 0%{?suse_version} < 1600
+%define isLeap15 %nil
+%else
+%undefine isLeap15
+%endif
+
 # Compilation takes ~1 hr on OBS for a single python, don't try all supported flavours
+%if %{defined isLeap15}
+%define x86_64 x86_64
+%define pythons python311
+%else
 %define pythons python3
+%endif
 %define __builder ninja
-%define so_ver 2430
+%define so_ver 2440
 %define shlib lib%{name}%{so_ver}
 %define shlib_c lib%{name}_c%{so_ver}
 %define prj_name OpenVINO
 
 Name:           openvino
-Version:        2024.3.0
+Version:        2024.4.0
 Release:        0
 Summary:        A toolkit for optimizing and deploying AI inference
 # Let's be safe and put all third party licenses here, no matter that we use specific thirdparty libs or not
@@ -49,7 +59,7 @@ Patch5:         openvino-remove-npu-compile-tool.patch
 BuildRequires:  ade-devel
 BuildRequires:  cmake
 BuildRequires:  fdupes
-BuildRequires:  gcc-c++
+BuildRequires:  gcc13-c++
 BuildRequires:  ninja
 BuildRequires:  opencl-cpp-headers
 # FIXME: /usr/include/onnx/onnx-ml.pb.h:17:2: error: This file was generated by
@@ -64,15 +74,21 @@ BuildRequires:  %{python_module setuptools}
 BuildRequires:  %{python_module wheel}
 BuildRequires:  python-rpm-macros
 BuildRequires:  zstd
-BuildRequires:  pkgconfig(OpenCL-Headers)
 BuildRequires:  pkgconfig(flatbuffers)
 BuildRequires:  pkgconfig(libva)
 BuildRequires:  pkgconfig(nlohmann_json)
 BuildRequires:  pkgconfig(ocl-icd)
 BuildRequires:  pkgconfig(protobuf)
 BuildRequires:  pkgconfig(pugixml)
+%if %{defined isLeap15}
+BuildRequires:  opencl-headers
+BuildRequires:  snappy-devel
+BuildRequires:  tbb-devel
+%else
+BuildRequires:  pkgconfig(OpenCL-Headers)
 BuildRequires:  pkgconfig(snappy)
 BuildRequires:  pkgconfig(tbb)
+%endif
 BuildRequires:  pkgconfig(zlib)
 %ifarch %{arm64}
 BuildRequires:  scons
@@ -85,10 +101,6 @@ ExcludeArch:    %{ix86} %{arm32} ppc
 %description
 OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
-
-
-## Main shared libs and devel pkg ##
-#
 %package -n %{shlib}
 Summary:        Shared library for OpenVINO toolkit
 
@@ -97,18 +109,12 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the shared library for OpenVINO.
 
-
-
-#
 %package -n %{shlib_c}
 Summary:        Shared C library for OpenVINO toolkit
 
 %description -n %{shlib_c}
 This package provides the C library for OpenVINO.
 
-
-
-#
 %package  -n %{name}-devel
 Summary:        Headers and sources for OpenVINO toolkit
 Requires:       %{shlib_c} = %{version}
@@ -119,15 +125,21 @@ Requires:       lib%{name}_paddle_frontend%{so_ver} = %{version}
 Requires:       lib%{name}_pytorch_frontend%{so_ver} = %{version}
 Requires:       lib%{name}_tensorflow_frontend%{so_ver} = %{version}
 Requires:       lib%{name}_tensorflow_lite_frontend%{so_ver} = %{version}
-Requires:       pkgconfig(OpenCL-Headers)
 Requires:       pkgconfig(flatbuffers)
 Requires:       pkgconfig(libva)
 Requires:       pkgconfig(nlohmann_json)
 Requires:       pkgconfig(ocl-icd)
 Requires:       pkgconfig(protobuf)
 Requires:       pkgconfig(pugixml)
+%if %{defined isLeap15}
+Requires:       opencl-headers
+Requires:       snappy-devel
+Requires:       tbb-devel
+%else
+Requires:       pkgconfig(OpenCL-Headers)
 Requires:       pkgconfig(snappy)
 Requires:       pkgconfig(tbb)
+%endif
 Recommends:     %{name}-auto-batch-plugin = %{version}
 Recommends:     %{name}-auto-plugin = %{version}
 Recommends:     %{name}-hetero-plugin = %{version}
@@ -142,10 +154,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 This package provides the headers and sources for developing applications with
 OpenVINO.
 
-
-
-## Plugins ##
-#
 %package -n %{name}-arm-cpu-plugin
 Summary:        Intel CPU plugin for OpenVINO toolkit
 
@@ -154,9 +162,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the ARM CPU plugin for OpenVINO on %{arm64} archs.
 
-
-#
-
 %package -n %{name}-riscv-cpu-plugin
 Summary:        RISC-V CPU plugin for OpenVINO toolkit
 
@@ -165,9 +170,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the RISC-V CPU plugin for OpenVINO on riscv64 archs.
 
-
-#
-
 %package -n %{name}-auto-plugin
 Summary:        Auto / Multi software plugin for OpenVINO toolkit
 
@@ -176,9 +178,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the Auto / Multi software plugin for OpenVINO.
 
-
-
-#
 %package -n %{name}-auto-batch-plugin
 Summary:        Automatic batch software plugin for OpenVINO toolkit
 
@@ -187,9 +186,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the automatic batch software plugin for OpenVINO.
 
-
-
-#
 %package -n %{name}-hetero-plugin
 Summary:        Hetero frontend for Intel OpenVINO toolkit
 
@@ -198,9 +194,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the hetero frontend for OpenVINO.
 
-
-
-#
 %package -n %{name}-intel-cpu-plugin
 Summary:        Intel CPU plugin for OpenVINO toolkit
 
@@ -209,9 +202,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the intel CPU plugin for OpenVINO for %{x86_64} archs.
 
-
-
-#
 %package -n %{name}-intel-npu-plugin
 Summary:        Intel NPU plugin for OpenVINO toolkit
 
@@ -220,11 +210,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the intel NPU plugin for OpenVINO for %{x86_64} archs.
 
-
-
-
-## Frontend shared libs ##
-#
 %package -n lib%{name}_ir_frontend%{so_ver}
 Summary:        Paddle frontend for Intel OpenVINO toolkit
 
@@ -233,9 +218,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the ir frontend for OpenVINO.
 
-
-
-#
 %package -n lib%{name}_onnx_frontend%{so_ver}
 Summary:        Onnx frontend for OpenVINO toolkit
 
@@ -244,9 +226,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the onnx frontend for OpenVINO.
 
-
-
-#
 %package -n lib%{name}_paddle_frontend%{so_ver}
 Summary:        Paddle frontend for Intel OpenVINO toolkit
 
@@ -255,9 +234,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the paddle frontend for OpenVINO.
 
-
-
-#
 %package -n lib%{name}_pytorch_frontend%{so_ver}
 Summary:        PyTorch frontend for OpenVINO toolkit
 
@@ -266,9 +242,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the pytorch frontend for OpenVINO.
 
-
-
-#
 %package -n lib%{name}_tensorflow_frontend%{so_ver}
 Summary:        TensorFlow frontend for OpenVINO toolkit
 
@@ -277,9 +250,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the tensorflow frontend for OpenVINO.
 
-
-
-#
 %package -n lib%{name}_tensorflow_lite_frontend%{so_ver}
 Summary:        TensorFlow Lite frontend for OpenVINO toolkit
 
@@ -288,10 +258,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides the tensorflow-lite frontend for OpenVINO.
 
-
-
-## Python module ##
-#
 %package -n python-openvino
 Summary:        Python module for openVINO toolkit
 Requires:       python-numpy < 2
@@ -302,10 +268,6 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides a Python module for interfacing with openVINO toolkit.
 
-
-
-## Samples/examples ##
-#
 %package -n %{name}-sample
 Summary:        Samples for use with OpenVINO toolkit
 BuildArch:      noarch
@@ -315,13 +277,11 @@ OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
 
 This package provides some samples for use with openVINO.
 
-
-#
-
 %prep
 %autosetup -p1
 
 %build
+export CC=gcc-13 CXX=g++-13
 # Otherwise intel_cpu plugin declares an executable stack
 %ifarch %{x86_64}
 %define build_ldflags -Wl,-z,noexecstack
@@ -344,6 +304,9 @@ This package provides some samples for use with openVINO.
       -DENABLE_SYSTEM_PUGIXML=ON \
       -DENABLE_SYSTEM_SNAPPY=ON \
       -DENABLE_SYSTEM_TBB=ON \
+%if %{defined isLeap15}
+      -DENABLE_TBBBIND_2_5=OFF \
+%endif
       -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \
       -DProtobuf_USE_STATIC_LIBS=OFF \
       %{nil}
@@ -362,8 +325,6 @@ export WHEEL_VERSION=%{version} \
 %install
 %cmake_install
 
-rm %{buildroot}%{_datadir}/%{prj_name}/samples/cpp/thirdparty/nlohmann_json/.cirrus.yml
-
 # Hash-bangs in non-exec python sample scripts
 sed -Ei "1{\@/usr/bin/env@d}" \
   %{buildroot}%{_datadir}/%{prj_name}/samples/python/benchmark/bert_benchmark/bert_benchmark.py \