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update Readme (#6903)

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George Wu 2021-03-05 16:29:04 -08:00 committed by GitHub
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dockerfiles/README.md
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@ -24,6 +24,7 @@ Use `docker pull` with any of the images and tags below to pull an image and try
|-------------------|---------------------------------------|---------------------------------------|-------------------------|
| Source (CPU) | mcr.microsoft.com/azureml/onnxruntime | :v0.4.0, :v0.5.0, v0.5.1, :v1.0.0, :v1.2.0, :v1.3.0, :v1.4.0, :v1.5.2 | :latest |
| CUDA (GPU) | mcr.microsoft.com/azureml/onnxruntime | :v0.4.0-cuda10.0-cudnn7, :v0.5.0-cuda10.1-cudnn7, :v0.5.1-cuda10.1-cudnn7, :v1.0.0-cuda10.1-cudnn7, :v1.2.0-cuda10.1-cudnn7, :v1.3.0-cuda10.1-cudnn7, :v1.4.0-cuda10.1-cudnn7, :v1.5.2-cuda10.2-cudnn8 | :latest-cuda |
| OpenVino | mcr.microsoft.com/azureml/onnxruntime | :v1.6.0-openvino-2021.1.110, :v1.7.0-openvino-2021.2.200 | :latest-openvino |
| OpenVino (VAD-M) | mcr.microsoft.com/azureml/onnxruntime | :v0.5.0-openvino-r1.1-vadm, :v1.0.0-openvino-r1.1-vadm, :v1.4.0-openvino-2020.3.194-vadm, :v1.5.2-openvino-2020.4.287-vadm | :latest-openvino-vadm |
| OpenVino (MYRIAD) | mcr.microsoft.com/azureml/onnxruntime | :v0.5.0-openvino-r1.1-myriad, :v1.0.0-openvino-r1.1-myriad, :v1.3.0-openvino-2020.2.120-myriad, :v1.4.0-openvino-2020.3.194-myriad, :v1.5.2-openvino-2020.4.287-myriad | :latest-openvino-myriad |
| OpenVino (CPU) | mcr.microsoft.com/azureml/onnxruntime | :v1.0.0-openvino-r1.1-cpu, :v1.3.0-openvino-2020.2.120-cpu, :v1.4.0-openvino-2020.3.194-cpu, :v1.5.2-openvino-2020.4.287-cpu | :latest-openvino-cpu |
@ -267,7 +268,7 @@ Instructions assume you are on Jetson host in the root of onnxruntime git projec
Two-step installation is required:
1. Build Python 'wheel' for ONNX Runtime on host Jetson system;
1. Build Python 'wheel' for ONNX Runtime on host Jetson system; Pre-built Python wheels are also available at [Nvidia Jetson Zoo](https://elinux.org/Jetson_Zoo#ONNX_Runtime).
2. Build Docker image using ONNX Runtime wheel from step 1. You can also install the wheel on the host directly.
Here are the build commands for each step: