From c1c00e7a13d2eb9e171fa23300681efa26ed8b75 Mon Sep 17 00:00:00 2001 From: "Nat Kershaw (MSFT)" Date: Wed, 22 Feb 2023 16:28:52 -0800 Subject: [PATCH] =?UTF-8?q?Add=20pre-release=20onnxruntime-extensions=20py?= =?UTF-8?q?thon=20package=20install=20=20instru=E2=80=A6=20(#14737)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/tutorials/mobile/superres.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/tutorials/mobile/superres.md b/docs/tutorials/mobile/superres.md index 9bc521c19d..8b302b821c 100644 --- a/docs/tutorials/mobile/superres.md +++ b/docs/tutorials/mobile/superres.md @@ -33,13 +33,13 @@ We provide a convenient Python script that exports the PyTorch model into ONNX f ```bash pip install torch + pip install pillow pip install onnx pip install onnxruntime - pip install onnxruntime-extensions - pip install pillow + pip install --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-extensions ``` - - A note on versions: the best super resolution results are achieved with ONNX opset 18 (with its support for the Resize operator with anti-aliasing), which is supported by onnx 1.13.0 and onnxruntime 1.14.0 and later. + + A note on versions: the best super resolution results are achieved with ONNX opset 18 (with its support for the Resize operator with anti-aliasing), which is supported by onnx 1.13.0 and onnxruntime 1.14.0 and later. The onnxruntime-extensions package is a pre-release version. The release version will be available soon. 2. Then download the script and test image from the onnxruntime-extensions GitHub repository (if you have not already cloned this repository):