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[Docs] Update EP ordering (#13564)
### Description - Update EP ordering and distinguish between MS-maintained and community-maintained EPs - Update CUDA version table for v1.13 - Staged preview: https://faxu.github.io/onnxruntime/docs/execution-providers/
This commit is contained in:
Faith Xu
GitHub
parent
311e63f264
commit
d4497b9ecd
21 changed files with 86 additions and 68 deletions
14
docs/build/eps.md
vendored
14
docs/build/eps.md
vendored
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@ -454,7 +454,7 @@ The DirectML execution provider supports building for both x64 and x86 architect
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---
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## ARM Compute Library
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See more information on the ACL Execution Provider [here](../execution-providers/ACL-ExecutionProvider.md).
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See more information on the ACL Execution Provider [here](../execution-providers/community-maintained/ACL-ExecutionProvider.md).
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### Prerequisites
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{: .no_toc }
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@ -521,7 +521,7 @@ onnxruntime_test_all
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## ArmNN
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See more information on the ArmNN Execution Provider [here](../execution-providers/ArmNN-ExecutionProvider.md).
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See more information on the ArmNN Execution Provider [here](../execution-providers/community-maintained/ArmNN-ExecutionProvider.md).
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### Prerequisites
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{: .no_toc }
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@ -569,7 +569,7 @@ The ARM Compute Library home directory and build directory must also be availabl
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---
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## RKNPU
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See more information on the RKNPU Execution Provider [here](../execution-providers/RKNPU-ExecutionProvider.md).
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See more information on the RKNPU Execution Provider [here](../execution-providers/community-maintained/RKNPU-ExecutionProvider.md).
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### Prerequisites
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{: .no_toc }
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@ -608,9 +608,9 @@ set(CMAKE_C_COMPILER aarch64-linux-gnu-gcc)
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---
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## Vitis-AI
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See more information on the Xilinx Vitis-AI execution provider [here](../execution-providers/Vitis-AI-ExecutionProvider.md).
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See more information on the Xilinx Vitis-AI execution provider [here](../execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md).
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For instructions to setup the hardware environment: [Hardware setup](../execution-providers/Vitis-AI-ExecutionProvider.md#hardware-setup)
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For instructions to setup the hardware environment: [Hardware setup](../execution-providers/community-maintained/Vitis-AI-ExecutionProvider.md#hardware-setup)
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### Linux
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{: .no_toc }
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@ -629,7 +629,7 @@ The Vitis-AI execution provider is only supported on Linux.
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## AMD MIGraphX
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See more information on the MIGraphX Execution Provider [here](../execution-providers/MIGraphX-ExecutionProvider.md).
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See more information on the MIGraphX Execution Provider [here](../execution-providers/community-maintained/MIGraphX-ExecutionProvider.md).
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### Prerequisites
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{: .no_toc }
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@ -774,7 +774,7 @@ Linux example:
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## CANN
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See more information on the CANN Execution Provider [here](../execution-providers/CANN-ExecutionProvider.md).
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See more information on the CANN Execution Provider [here](../execution-providers/community-maintained/CANN-ExecutionProvider.md).
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### Prerequisites
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{: .no_toc }
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@ -1,8 +1,8 @@
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---
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title: CUDA (NVIDIA)
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title: NVIDIA - CUDA
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description: Instructions to execute ONNX Runtime applications with CUDA
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parent: Execution Providers
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nav_order: 5
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nav_order: 1
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redirect_from: /docs/reference/execution-providers/CUDA-ExecutionProvider
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---
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@ -31,6 +31,7 @@ Please reference [Nvidia CUDA Minor Version Compatibility](https://docs.nvidia.c
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|ONNX Runtime|CUDA|cuDNN|Notes|
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|---|---|---|---|
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|1.13|11.6|8.2.4 (Linux)<br/>8.5.0.96 (Windows)|libcudart 11.4.43<br/>libcufft 10.5.2.100<br/>libcurand 10.2.5.120<br/>libcublasLt 11.6.5.2<br/>libcublas 11.6.5.2<br/>libcudnn 8.2.4|
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|1.12<br/>1.11|11.4|8.2.4 (Linux)<br/>8.2.2.26 (Windows)|libcudart 11.4.43<br/>libcufft 10.5.2.100<br/>libcurand 10.2.5.120<br/>libcublasLt 11.6.5.2<br/>libcublas 11.6.5.2<br/>libcudnn 8.2.4|
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|1.10|11.4|8.2.4 (Linux)<br/>8.2.2.26 (Windows)|libcudart 11.4.43<br/>libcufft 10.5.2.100<br/>libcurand 10.2.5.120<br/>libcublasLt 11.6.1.51<br/>libcublas 11.6.1.51<br/>libcudnn 8.2.4|
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|1.9|11.4|8.2.4 (Linux)<br/>8.2.2.26 (Windows)|libcudart 11.4.43<br/>libcufft 10.5.2.100<br/>libcurand 10.2.5.120<br/>libcublasLt 11.6.1.51<br/>libcublas 11.6.1.51<br/>libcudnn 8.2.4|
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@ -1,8 +1,8 @@
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---
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title: CoreML (Apple)
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title: Apple - CoreML
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description: Instructions to execute ONNX Runtime with CoreML
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parent: Execution Providers
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nav_order: 4
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nav_order: 8
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redirect_from: /docs/reference/execution-providers/CoreML-ExecutionProvider
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---
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{::options toc_levels="2" /}
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@ -1,8 +1,8 @@
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---
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title: DirectML (Windows)
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title: Windows - DirectML
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description: Instructions to execute ONNX Runtime with the DirectML execution provider
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parent: Execution Providers
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nav_order: 6
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nav_order: 5
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redirect_from: /docs/reference/execution-providers/DirectML-ExecutionProvider
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---
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@ -1,8 +1,8 @@
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---
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title: NNAPI (Android)
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title: Android - NNAPI
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description: Instructions to execute ONNX Runtime with the NNAPI execution provider
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parent: Execution Providers
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nav_order: 8
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nav_order: 7
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redirect_from: /docs/reference/execution-providers/NNAPI-ExecutionProvider
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---
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{::options toc_levels="2" /}
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@ -1,8 +1,8 @@
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---
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title: OpenVINO™ (Intel)
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title: Intel - OpenVINO™
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description: Instructions to execute OpenVINO™ Execution Provider for ONNX Runtime.
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parent: Execution Providers
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nav_order: 10
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nav_order: 3
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redirect_from: /docs/reference/execution-providers/OpenVINO-ExecutionProvider
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---
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@ -1,8 +1,8 @@
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---
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title: ROCm (AMD)
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title: AMD - ROCm
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description: Instructions to execute ONNX Runtime with the AMD ROCm execution provider
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parent: Execution Providers
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nav_order: 12
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nav_order: 10
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redirect_from: /docs/reference/execution-providers/ROCm-ExecutionProvider
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---
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@ -1,8 +1,8 @@
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---
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title: SNPE (Qualcomm)
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title: Qualcomm - SNPE
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description: Execute ONNX models with SNPE Execution Provider
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parent: Execution Providers
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nav_order: 13
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nav_order: 6
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redirect_from: /docs/reference/execution-providers/SNPE-ExecutionProvider
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---
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@ -1,8 +1,8 @@
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---
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title: TensorRT (NVIDIA)
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title: NVIDIA - TensorRT
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description: Instructions to execute ONNX Runtime on NVIDIA GPUs with the TensorRT execution provider
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parent: Execution Providers
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nav_order: 14
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nav_order: 2
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redirect_from: /docs/reference/execution-providers/TensorRT-ExecutionProvider
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---
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@ -2,7 +2,7 @@
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title: XNNPACK
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description: Instructions to execute ONNX Runtime with the XNNPACK execution provider
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parent: Execution Providers
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nav_order: 17
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nav_order: 9
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---
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{::options toc_levels="2" /}
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@ -1,8 +1,8 @@
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---
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title: Add a new execution provider
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title: Add a new provider
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description: Instructions to add a new execution provider to ONNX Runtime
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parent: Execution Providers
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nav_order: 18
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nav_order: 12
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redirect_from: /docs/how-to/add-execution-provider
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---
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@ -1,8 +1,9 @@
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---
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title: ARM Compute Library (ACL)
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title: Arm - ACL
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description: Instructions to execute ONNX Runtime with the ACL Execution Provider
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parent: Execution Providers
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nav_order: 1
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 2
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redirect_from: /docs/reference/execution-providers/ACL-ExecutionProvider
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---
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@ -20,7 +21,7 @@ The integration of ACL as an execution provider (EP) into ONNX Runtime accelerat
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## Build
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For build instructions, please see the [build page](../build/eps.md#arm-compute-library).
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For build instructions, please see the [build page](../../build/eps.md#arm-compute-library).
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## Usage
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### C/C++
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@ -32,9 +33,9 @@ Ort::SessionOptions sf;
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bool enable_cpu_mem_arena = true;
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Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_ACL(sf, enable_cpu_mem_arena));
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```
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The C API details are [here](../get-started/with-c.html).
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The C API details are [here](../../get-started/with-c.html).
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## Performance Tuning
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../performance/tune-performance.md)
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../../performance/tune-performance.md)
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When/if using [onnxruntime_perf_test](https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/perftest){:target="_blank"}, use the flag -e acl
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@ -1,7 +1,8 @@
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---
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title: Arm NN
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title: Arm - Arm NN
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description: Instructions to execute ONNX Runtime with Arm NN on Armv8 cores
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parent: Execution Providers
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 2
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redirect_from: /docs/reference/execution-providers/ArmNN-ExecutionProvider
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---
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@ -18,7 +19,7 @@ redirect_from: /docs/reference/execution-providers/ArmNN-ExecutionProvider
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Accelerate performance of ONNX model workloads across Armv8 cores with the ArmNN execution provider. [ArmNN](https://github.com/ARM-software/armnn) is an open source inference engine maintained by Arm and Linaro companies.
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## Build
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For build instructions, please see the [BUILD page](../build/eps.md#armnn).
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For build instructions, please see the [BUILD page](../../build/eps.md#armnn).
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## Usage
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### C/C++
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bool enable_cpu_mem_arena = true;
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Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_ArmNN(so, enable_cpu_mem_arena));
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```
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The C API details are [here](../get-started/with-c.md).
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The C API details are [here](../../get-started/with-c.md).
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## Performance Tuning
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../performance/tune-performance.md)
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../../performance/tune-performance.md)
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When/if using [onnxruntime_perf_test](https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/perftest), use the flag -e armnn
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@ -1,8 +1,9 @@
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---
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title: CANN (Huawei)
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title: Huawei - CANN
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description: Instructions to execute ONNX Runtime with the Huawei CANN execution provider
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parent: Execution Providers
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nav_order: 3
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 7
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redirect_from: /docs/reference/execution-providers/CANN-ExecutionProvider
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---
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@ -32,11 +33,11 @@ Please reference table below for official CANN packages dependencies for the ONN
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## Build
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For build instructions, please see the [BUILD page](../build/eps.md#cann).
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For build instructions, please see the [BUILD page](../../build/eps.md#cann).
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## Install
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Pre-built binaries of ONNX Runtime with CANN EP are published for most language bindings. Please reference [Install ORT](../install).
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Pre-built binaries of ONNX Runtime with CANN EP are published for most language bindings. Please reference [Install ORT](../../install).
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## Samples
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@ -1,8 +1,9 @@
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---
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title: MIGraphX (AMD)
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title: AMD - MIGraphX
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description: Instructions to execute ONNX Runtime with the AMD MIGraphX execution provider
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parent: Execution Providers
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nav_order: 7
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 4
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redirect_from: /docs/reference/execution-providers/MIGraphX-ExecutionProvider
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---
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@ -18,7 +19,7 @@ The [MIGraphX](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/) execution p
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{:toc}
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## Build
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For build instructions, please see the [BUILD page](../build/eps.md#amd-migraphx).
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For build instructions, please see the [BUILD page](../../build/eps.md#amd-migraphx).
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## Usage
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@ -33,12 +34,12 @@ Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_MiGraphX(sf, device_i
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You can check [here](https://github.com/scxiao/ort_test/tree/master/char_rnn) for a specific c/c++ program.
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The C API details are [here](../get-started/with-c.md).
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The C API details are [here](../../get-started/with-c.md).
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### Python
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When using the Python wheel from the ONNX Runtime build with MIGraphX execution provider, it will be automatically
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prioritized over the default GPU or CPU execution providers. There is no need to separately register the execution
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provider. Python APIs details are [here](https://onnxruntime.ai/docs/api/python/api_summary.html).
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provider. Python APIs details are [here](../../api/python/api_summary.html).
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*Note that the next release (ORT 1.10) will require explicitly setting the providers parameter if you want to use execution provider other than the default CPU provider when instantiating InferenceSession.*
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You can check [here](https://github.com/scxiao/ort_test/tree/master/python/run_onnx) for a python script to run an
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@ -48,6 +49,6 @@ model on either the CPU or MIGraphX Execution Provider.
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MIGraphX providers an environment variable ORT_MIGRAPHX_FP16_ENABLE to enable the FP16 mode.
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## Performance Tuning
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../performance/tune-performance.md)
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For performance tuning, please see guidance on this page: [ONNX Runtime Perf Tuning](../../performance/tune-performance.md)
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When/if using [onnxruntime_perf_test](https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/perftest#onnxruntime-performance-test), use the flag `-e migraphx`
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@ -1,8 +1,9 @@
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---
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title: RKNPU
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title: Rockchip - RKNPU
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description: Instructions to execute ONNX Runtime on Rockchip NPUs with the RKNPU execution provider
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parent: Execution Providers
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nav_order: 11
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 5
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redirect_from: /docs/reference/execution-providers/RKNPU-ExecutionProvider
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---
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@ -19,7 +20,7 @@ RKNPU DDK is an advanced interface to access Rockchip NPU. The RKNPU Execution P
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## Build
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||||
For build instructions, please see the [BUILD page](../build/eps.md#rknpu).
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For build instructions, please see the [BUILD page](../../build/eps.md#rknpu).
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## Usage
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**C/C++**
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@ -31,7 +32,7 @@ Ort::SessionOptions sf;
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Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_RKNPU(sf));
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Ort::Session session(env, model_path, sf);
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```
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The C API details are [here](../get-started/with-c.md).
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The C API details are [here](../../get-started/with-c.md).
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## Support Coverage
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@ -1,8 +1,9 @@
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|||
---
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||||
title: TVM (Apache)
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title: Apache - TVM
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description: Instructions to execute ONNX Runtime with the Apache TVM execution provider
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parent: Execution Providers
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nav_order: 15
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 3
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---
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# TVM Execution Provider
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@ -1,8 +1,9 @@
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---
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title: Vitis AI
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title: Xilinx - Vitis AI
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description: Instructions to execute ONNX Runtime on Xilinx devices with the Vitis AI execution provider
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parent: Execution Providers
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nav_order: 16
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grand_parent: Execution Providers
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parent: Community-maintained
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nav_order: 6
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redirect_from: /docs/reference/execution-providers/Vitis-AI-ExecutionProvider
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---
|
||||
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|
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@ -39,7 +40,7 @@ The following table lists system requirements for running docker containers as w
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| Docker Version | 19\.03\.1 |
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## Build
|
||||
See [Build instructions](../build/eps.md#vitis-ai).
|
||||
See [Build instructions](../../build/eps.md#vitis-ai).
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|
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### Hardware setup
|
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|
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10
docs/execution-providers/community-maintained/index.md
Normal file
10
docs/execution-providers/community-maintained/index.md
Normal file
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@ -0,0 +1,10 @@
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---
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||||
title: Community-maintained
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parent: Execution Providers
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has_children: true
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nav_order: 11
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---
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# Community-maintained Providers
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||||
This list of providers for specialized hardware is contributed and maintained by ONNX Runtime community partners.
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|
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@ -28,12 +28,12 @@ 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/RKNPU-ExecutionProvider.md) (*preview*)|
|
||||
|[Intel DNNL](../execution-providers/oneDNN-ExecutionProvider.md)|[NVIDIA TensorRT](../execution-providers/TensorRT-ExecutionProvider.md)|[ARM Compute Library](../execution-providers/ACL-ExecutionProvider.md) (*preview*)|[Xilinx Vitis-AI](../execution-providers/Vitis-AI-ExecutionProvider.md) (*preview*)|
|
||||
|[TVM](../execution-providers/TVM-ExecutionProvider.md) (*preview*)|[DirectML](../execution-providers/DirectML-ExecutionProvider.md)|[Android Neural Networks API](../execution-providers/NNAPI-ExecutionProvider.md)|[Huawei CANN](../execution-providers/CANN-ExecutionProvider.md) (*preview*)|
|
||||
|[Intel OpenVINO](../execution-providers/OpenVINO-ExecutionProvider.md)|[AMD MIGraphX](../execution-providers/MIGraphX-ExecutionProvider.md) (*preview*)|[ARM-NN](../execution-providers/ArmNN-ExecutionProvider.md) (*preview*)|
|
||||
|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*)|
|
||||
|[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/community-maintained/MIGraphX-ExecutionProvider.md) (*preview*)|[ARM-NN](../execution-providers/community-maintained/ArmNN-ExecutionProvider.md) (*preview*)|
|
||||
||[AMD ROCm](../execution-providers/ROCm-ExecutionProvider.md) (*preview*)|[CoreML](../execution-providers/CoreML-ExecutionProvider.md) (*preview*)|
|
||||
||[TVM](../execution-providers/TVM-ExecutionProvider.md) (*preview*)|[TVM](../execution-providers/TVM-ExecutionProvider.md) (*preview*)|
|
||||
||[TVM](../execution-providers/community-maintained/TVM-ExecutionProvider.md) (*preview*)|[TVM](../execution-providers/community-maintained/TVM-ExecutionProvider.md) (*preview*)|
|
||||
||[Intel OpenVINO](../execution-providers/OpenVINO-ExecutionProvider.md)|[Qualcomm SNPE](../execution-providers/SNPE-ExecutionProvider.md)|
|
||||
|[XNNPACK](../execution-providers/Xnnpack-ExecutionProvider.md)||[XNNPACK](../execution-providers/Xnnpack-ExecutionProvider.md)|
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
---
|
||||
title: oneDNN (Intel)
|
||||
title: Intel - oneDNN
|
||||
description: Instructions to execute ONNX Runtime with the Intel oneDNN execution provider
|
||||
parent: Execution Providers
|
||||
nav_order: 9
|
||||
nav_order: 4
|
||||
redirect_from: /docs/reference/execution-providers/oneDNN-ExecutionProvider
|
||||
---
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue