diff --git a/docs/build/eps.md b/docs/build/eps.md index bfb692bade..f29d3fe146 100644 --- a/docs/build/eps.md +++ b/docs/build/eps.md @@ -540,7 +540,7 @@ set(CMAKE_C_COMPILER aarch64-linux-gnu-gcc) --- ## AMD Vitis AI -See more information on the Vitis AI Execution Provider [here](../execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md). +See more information on the Vitis AI Execution Provider [here](../execution-providers/Vitis-AI-ExecutionProvider.md). ### Windows {: .no_toc } @@ -566,7 +566,7 @@ e.g. ### Linux {: .no_toc } -Currently Linux support is only enabled for AMD Adapable SoCs. Please refer to the guidance [here](../execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md#amd-adaptable-soc-installation) for SoC targets. +Currently Linux support is only enabled for AMD Adapable SoCs. Please refer to the guidance [here](../execution-providers/Vitis-AI-ExecutionProvider.md#amd-adaptable-soc-installation) for SoC targets. --- diff --git a/docs/execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md b/docs/execution-providers/Vitis-AI-ExecutionProvider.md similarity index 98% rename from docs/execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md rename to docs/execution-providers/Vitis-AI-ExecutionProvider.md index c96befe702..3a809036fc 100644 --- a/docs/execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md +++ b/docs/execution-providers/Vitis-AI-ExecutionProvider.md @@ -1,10 +1,9 @@ --- title: AMD - Vitis AI description: Instructions to execute ONNX Runtime on AMD devices with the Vitis AI execution provider -grand_parent: Execution Providers -parent: Community-maintained +parent: Execution Providers nav_order: 6 -redirect_from: /docs/reference/execution-providers/Vitis-AI-ExecutionProvider +redirect_from: /docs/execution-providers/community-maintained/Vitis-AI-ExecutionProvider --- # Vitis AI Execution Provider @@ -110,7 +109,7 @@ pip install voe-[version]-cp39-cp39-win_amd64.whl ## Build -To build the Ryzen AI Vitis AI ONNX Runtime Execution Provider from source, please refer to the [Build Instructions](../../build/eps.md#amd-vitis-ai). +To build the Ryzen AI Vitis AI ONNX Runtime Execution Provider from source, please refer to the [Build Instructions](../build/eps.md#amd-vitis-ai). ## Quantization diff --git a/docs/execution-providers/index.md b/docs/execution-providers/index.md index 0e3488ca59..f2a1fe854f 100644 --- a/docs/execution-providers/index.md +++ b/docs/execution-providers/index.md @@ -24,7 +24,7 @@ ONNX Runtime supports many different execution providers today. Some of the EPs |CPU|GPU|IoT/Edge/Mobile|Other| ---|---|---|--- |Default CPU|[NVIDIA CUDA](../execution-providers/CUDA-ExecutionProvider.md)|[Intel OpenVINO](../execution-providers/OpenVINO-ExecutionProvider.md)|[Rockchip NPU](../execution-providers/community-maintained/RKNPU-ExecutionProvider.md) (*preview*)| -|[Intel DNNL](../execution-providers/oneDNN-ExecutionProvider.md)|[NVIDIA TensorRT](../execution-providers/TensorRT-ExecutionProvider.md)|[ARM Compute Library](../execution-providers/community-maintained/ACL-ExecutionProvider.md) (*preview*)|[Xilinx Vitis-AI](../execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md) (*preview*)| +|[Intel DNNL](../execution-providers/oneDNN-ExecutionProvider.md)|[NVIDIA TensorRT](../execution-providers/TensorRT-ExecutionProvider.md)|[ARM Compute Library](../execution-providers/community-maintained/ACL-ExecutionProvider.md) (*preview*)|[Xilinx Vitis-AI](../execution-providers/Vitis-AI-ExecutionProvider.md) (*preview*)| |[TVM](../execution-providers/community-maintained/TVM-ExecutionProvider.md) (*preview*)|[DirectML](../execution-providers/DirectML-ExecutionProvider.md)|[Android Neural Networks API](../execution-providers/NNAPI-ExecutionProvider.md)|[Huawei CANN](../execution-providers/community-maintained/CANN-ExecutionProvider.md) (*preview*)| |[Intel OpenVINO](../execution-providers/OpenVINO-ExecutionProvider.md)|[AMD MIGraphX](../execution-providers/MIGraphX-ExecutionProvider.md)|[ARM-NN](../execution-providers/community-maintained/ArmNN-ExecutionProvider.md) (*preview*)| |[XNNPACK](../execution-providers/Xnnpack-ExecutionProvider.md)|[Intel OpenVINO](../execution-providers/OpenVINO-ExecutionProvider.md)|[CoreML](../execution-providers/CoreML-ExecutionProvider.md) (*preview*)| diff --git a/js/blogs.json b/js/blogs.json index b56641b962..71bbd62007 100644 --- a/js/blogs.json +++ b/js/blogs.json @@ -1,6 +1,30 @@ { "blogs": [ { + "title": "Unlocking the end-to-end Windows AI developer experience using ONNX runtime and Olive", + "date": "May 23th, 2023", + "blurb": "This blog reviews the new capabilities of ONNX Runtime and the Olive toolchain to support hybrid inferencing, NPU EPs, and hardware aware model optimizations on Windows and other platforms", + "link": "https://blogs.windows.com/windowsdeveloper/2023/05/23/unlocking-the-end-to-end-windows-ai-developer-experience-using-onnx-runtime-and-olive" + }, + { + "title": "Bringing the power of AI to Windows 11 - unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home", + "date": "May 23th, 2023", + "blurb": "This blog reviews AI in Windows 11, including ONNX Runtime as the gateway to Windows AI and new ONNX Runtime capabilities on Windows", + "link": "https://blogs.windows.com/windowsdeveloper/2023/05/23/bringing-the-power-of-ai-to-windows-11-unlocking-a-new-era-of-productivity-for-customers-and-developers-with-windows-copilot-and-dev-home" + }, + { + "title": "Optimize DirectML performance with Olive", + "date": "May 23th, 2023", + "blurb": "This blog shows how to use Olive to optimize models for DML EP in ONNX Runtime", + "link": "https://devblogs.microsoft.com/windowsai/optimize-directml-performance-with-olive" + }, + { + "title": "DirectML ❤ Stable Diffusion", + "date": "May 23th, 2023", + "blurb": "This blog shows how to use the Stable Diffusion model on DML EP using Olive to optimize the Stable Diffusion model", + "link": "https://devblogs.microsoft.com/windowsai/dml-stable-diffusion/" + }, + { "title": "Accelerating Stable Diffusion Inference with ONNX Runtime", "date": "May 10th, 2023", "blurb": "This blog shows how to accelerate the Stable Diffusion models from Hugging Face on NVIDIA and AMD GPUs with ONNX Runtime. It includes benchmark results obtained on A100 and RTX3060 and MI250X.",