Add initial version of 08-openvino #38
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allnes
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Nov 3, 2025
| \begin{frame}{What is OpenVINO?} | ||
| \begin{columns}[T,totalwidth=\textwidth] | ||
| \begin{column}{0.7\textwidth} | ||
| OpenVINO (Open Visual Inference and Neural Network Optimization) |
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It's a little bit wrong - please write about different arch too
allnes
reviewed
Nov 3, 2025
| \begin{itemize} | ||
| \item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators | ||
| \item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks | ||
| \item \textbf{Model formats (Frontends):} IR (\texttt{.xml/.bin}), ONNX (\texttt{.onnx}), TensorFlow (SavedModel/MetaGraph/frozen \texttt{.pb/.pbtxt}), TensorFlow Lite (\texttt{.tflite}), PaddlePaddle (\texttt{.pdmodel}), PyTorch (TorchScript/FX) |
allnes
reviewed
Nov 3, 2025
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| \begin{frame}{OpenVINO at a Glance} | ||
| \begin{itemize} | ||
| \item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators |
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I would be to add arm and riscv as additional architecture and every item need to be with that arch
allnes
reviewed
Nov 3, 2025
| \begin{frame}{OpenVINO at a Glance} | ||
| \begin{itemize} | ||
| \item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators | ||
| \item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks |
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Model optimizer is legacy, now it's OVC (OpenVINO Model Converter - https://docs.openvino.ai/2024/notebooks/convert-to-openvino-with-output.html)
allnes
reviewed
Nov 3, 2025
| \item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators | ||
| \item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks | ||
| \item \textbf{Model formats (Frontends):} IR (\texttt{.xml/.bin}), ONNX (\texttt{.onnx}), TensorFlow (SavedModel/MetaGraph/frozen \texttt{.pb/.pbtxt}), TensorFlow Lite (\texttt{.tflite}), PaddlePaddle (\texttt{.pdmodel}), PyTorch (TorchScript/FX) | ||
| \item \textbf{Targets:} CPU, iGPU, dGPU (e.g., Intel Arc), NPU, and more via plugins |
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iGPU and dGPU are unite GPU plugin, you can decribe plugins or devices (ARM CPU, Intel CPU RISC_V cpu)
allnes
reviewed
Nov 3, 2025
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| \begin{frame}{Device Plugins Architecture} | ||
| \centering | ||
| \ovbox{gray!15}{\textbf{Application} (C++/Python)}\\[0.6em] |
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I would be to see:
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