Accepting request 1181952 from science:machinelearning

OBS-URL: https://build.opensuse.org/request/show/1181952
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/openvino?expand=0&rev=3

_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">2024.1.0</param>
+    <param name="revision">2024.2.0</param>
-    <param name="version">2024.1.0</param>
+    <param name="version">2024.2.0</param>
     <param name="submodules">enable</param>
     <param name="filename">openvino</param>
     <param name="exclude">.git</param>

openvino-2024.1.0.obscpio

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:556da89cbc03dd30dad270a1c1796598932c488a696a87056399e74a4d688680
-size 865282063

openvino-2024.2.0.obscpio

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50b3efee39ea06430456d49db9b4173b22999d8b3e7547dc658bb37df82b0f1b
+size 1036420623

openvino.changes

@@ -1,3 +1,104 @@
+-------------------------------------------------------------------
+Wed Jun 19 21:36:01 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
+
+- Update to 2024.2.0
+- More Gen AI coverage and framework integrations to minimize code
+  changes
+  * Llama 3 optimizations for CPUs, built-in GPUs, and discrete 
+    GPUs for improved performance and efficient memory usage.
+  * Support for Phi-3-mini, a family of AI models that leverages 
+    the power of small language models for faster, more accurate 
+    and cost-effective text processing.
+  * Python Custom Operation is now enabled in OpenVINO making it
+    easier for Python developers to code their custom operations
+    instead of using C++ custom operations (also supported). 
+    Python Custom Operation empowers users to implement their own
+    specialized operations into any model.
+  * Notebooks expansion to ensure better coverage for new models.
+    Noteworthy notebooks added: DynamiCrafter, YOLOv10, Chatbot
+    notebook with Phi-3, and QWEN2.
+- Broader Large Language Model (LLM) support and more model
+  compression techniques.
+  * GPTQ method for 4-bit weight compression added to NNCF for
+    more efficient inference and improved performance of 
+    compressed LLMs.
+  * Significant LLM performance improvements and reduced latency
+    for both built-in GPUs and discrete GPUs.
+  * Significant improvement in 2nd token latency and memory 
+    footprint of FP16 weight LLMs on AVX2 (13th Gen Intel® Core™
+    processors) and AVX512 (3rd Gen Intel® Xeon® Scalable 
+    Processors) based CPU platforms, particularly for small 
+    batch sizes.
+- More portability and performance to run AI at the edge, in the
+  cloud, or locally.
+  * Model Serving Enhancements:
+  * Preview: OpenVINO Model Server (OVMS) now supports 
+    OpenAI-compatible API along with Continuous Batching and 
+    PagedAttention, enabling significantly higher throughput 
+    for parallel inferencing, especially on Intel® Xeon® 
+    processors, when serving LLMs to many concurrent users.
+  * OpenVINO backend for Triton Server now supports built-in 
+    GPUs and discrete GPUs, in addition to dynamic 
+    shapes support.
+  * Integration of TorchServe through torch.compile OpenVINO
+    backend for easy model deployment, provisioning to 
+    multiple instances, model versioning, and maintenance.
+  * Preview: addition of the Generate API, a simplified API 
+    for text generation using large language models with only
+    a few lines of code. The API is available through the newly
+    launched OpenVINO GenAI package.
+  * Support for Intel Atom® Processor X Series. For more details,
+    see System Requirements.
+  * Preview: Support for Intel® Xeon® 6 processor.
+- 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 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).
+
 -------------------------------------------------------------------
 Thu May  9 22:56:53 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
 

openvino.obsinfo

@@ -1,4 +1,4 @@
 name: openvino
-version: 2024.1.0
+version: 2024.2.0
-mtime: 1713778234
+mtime: 1716981469
-commit: f4afc983258bcb2592d999ed6700043fdb58ad78
+commit: 5c0f38f83f62fdabcdc980fa6dc3ed1ea16c8a05

openvino.spec

@@ -21,12 +21,12 @@
 # Compilation takes ~1 hr on OBS for a single python, don't try all supported flavours
 %define pythons python3
 %define __builder ninja
-%define so_ver 2410
+%define so_ver 2420
 %define shlib lib%{name}%{so_ver}
 %define shlib_c lib%{name}_c%{so_ver}
 %define prj_name OpenVINO
 Name:           openvino
-Version:        2024.1.0
+Version:        2024.2.0
 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
@@ -83,9 +83,10 @@ 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
 
@@ -96,8 +97,9 @@ This package provides the shared library for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n %{shlib_c}
 Summary:        Shared C library for OpenVINO toolkit
 
@@ -106,8 +108,9 @@ This package provides the C library for OpenVINO.
 
 
 
-#
 
+
+#
 %package  -n %{name}-devel
 Summary:        Headers and sources for OpenVINO toolkit
 Requires:       %{shlib_c} = %{version}
@@ -140,9 +143,10 @@ OpenVINO.
 
 
 
+
+
 ## Plugins ##
 #
-
 %package -n %{name}-arm-cpu-plugin
 Summary:        Intel CPU plugin for OpenVINO toolkit
 
@@ -153,8 +157,9 @@ This package provides the ARM CPU plugin for OpenVINO on %{arm64} archs.
 
 
 
-#
 
+
+#
 %package -n %{name}-auto-plugin
 Summary:        Auto / Multi software plugin for OpenVINO toolkit
 
@@ -165,8 +170,9 @@ This package provides the Auto / Multi software plugin for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n %{name}-auto-batch-plugin
 Summary:        Automatic batch software plugin for OpenVINO toolkit
 
@@ -177,8 +183,9 @@ This package provides the automatic batch software plugin for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n %{name}-hetero-plugin
 Summary:        Hetero frontend for Intel OpenVINO toolkit
 
@@ -189,8 +196,9 @@ This package provides the hetero frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n %{name}-intel-cpu-plugin
 Summary:        Intel CPU plugin for OpenVINO toolkit
 
@@ -201,8 +209,9 @@ 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
 
@@ -213,9 +222,10 @@ 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
 
@@ -226,8 +236,9 @@ This package provides the ir frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n lib%{name}_onnx_frontend%{so_ver}
 Summary:        Onnx frontend for OpenVINO toolkit
 
@@ -238,8 +249,9 @@ This package provides the onnx frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n lib%{name}_paddle_frontend%{so_ver}
 Summary:        Paddle frontend for Intel OpenVINO toolkit
 
@@ -250,8 +262,9 @@ This package provides the paddle frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n lib%{name}_pytorch_frontend%{so_ver}
 Summary:        PyTorch frontend for OpenVINO toolkit
 
@@ -262,8 +275,9 @@ This package provides the pytorch frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n lib%{name}_tensorflow_frontend%{so_ver}
 Summary:        TensorFlow frontend for OpenVINO toolkit
 
@@ -274,8 +288,9 @@ This package provides the tensorflow frontend for OpenVINO.
 
 
 
-#
 
+
+#
 %package -n lib%{name}_tensorflow_lite_frontend%{so_ver}
 Summary:        TensorFlow Lite frontend for OpenVINO toolkit
 
@@ -286,9 +301,10 @@ 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
@@ -302,9 +318,10 @@ 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
@@ -316,7 +333,9 @@ This package provides some samples for use with openVINO.
 
 
 
+
 #
+
 %prep
 %autosetup -p1