From 08ca624d2b65142218a5128bd20787cecb4e1591 Mon Sep 17 00:00:00 2001 From: Emmanuel Ferdman Date: Mon, 21 Aug 2023 19:53:05 +0300 Subject: [PATCH] Fix: update hyperlinks to the Jupyter notebooks (#16145) ### Description This PR fixes broken hyperlinks in the documentation that should lead users to Jupyter notebooks. Currently, the hyperlinks are not working as intended. The PR resolves this issue by updating the hyperlinks to correctly direct users to the Jupyter notebooks. ### Motivation and Context It fixes broken hyperlinks leading to the Jupyter notebooks. --- docs/TVM_EP.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/TVM_EP.md b/docs/TVM_EP.md index f41f4eb8d2..df59d5c058 100644 --- a/docs/TVM_EP.md +++ b/docs/TVM_EP.md @@ -286,7 +286,7 @@ It is also possible to use a precompiled model. The compiled model can be obtained using the [OctoML platform](https://onnx.octoml.ai) or compiled directly (see **Support precompiled model** section in -[Sample notebook for ResNet50 inference with TVM EP](https://github.com/microsoft/onnxruntime/blob/main/docs/python/inference/notebooks/onnxruntime-tvm-tutorial.ipynb) +[Sample notebook for ResNet50 inference with TVM EP](https://github.com/microsoft/onnxruntime/blob/main/docs/python/notebooks/onnxruntime-tvm-tutorial.ipynb) for more information on model compilation). In order to use the precompiled model, only need to pass two options: @@ -302,7 +302,7 @@ You can read more about these options in section [Configuration options](#config ## Samples -- [Sample notebook for ResNet50 inference with TVM EP](https://github.com/microsoft/onnxruntime/blob/main/docs/python/inference/notebooks/onnxruntime-tvm-tutorial.ipynb) +- [Sample notebook for ResNet50 inference with TVM EP](https://github.com/microsoft/onnxruntime/blob/main/docs/python/notebooks/onnxruntime-tvm-tutorial.ipynb) ## Known issues - At this moment, the TVM EP has only been verified on UNIX/Linux and Windows systems.