Update doc for AMD (#1570)

* Update index.mdx for AMD * update doc
huggingface · Dec 6, 2023 · c0230e0 · c0230e0
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diff --git a/docs/source/index.mdx b/docs/source/index.mdx
@@ -39,7 +39,7 @@ As such, Optimum enables developers to efficiently use any of these platforms wi
     </a>
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./amd/index"
       ><div class="w-full text-center bg-gradient-to-br from-red-600 to-red-600 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">AMD</div>
-      <p class="text-gray-700">Enable performance optimizations for <span class="underline" onclick="event.preventDefault(); window.open('https://www.amd.com/en/graphics/instinct-server-accelerators', '_blank');">AMD Instinct GPUs</span> and <span class="underline" onclick="event.preventDefault(); window.open('https://ryzenai.docs.amd.com/en/latest/index.html', '_blank');">AMD Ryzen AI IPUs</span></p>
+      <p class="text-gray-700">Enable performance optimizations for <span class="underline" onclick="event.preventDefault(); window.open('https://www.amd.com/en/graphics/instinct-server-accelerators', '_blank');">AMD Instinct GPUs</span> and <span class="underline" onclick="event.preventDefault(); window.open('https://ryzenai.docs.amd.com/en/latest/index.html', '_blank');">AMD Ryzen AI NPUs</span></p>
     </a>
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./furiosa/index"
       ><div class="w-full text-center bg-gradient-to-br from-green-400 to-green-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">FuriosaAI</div>

diff --git a/docs/source/onnxruntime/usage_guides/amdgpu.mdx b/docs/source/onnxruntime/usage_guides/amdgpu.mdx
@@ -33,7 +33,7 @@ pip3 install --pre torch torchvision torchaudio --index-url https://download.pyt
 # Use 'rocm/pytorch:latest' as the preferred base image when using Docker for PyTorch installation.
 ```
 
-### 2.2 ONNX Runtime with ROCm Execution Provider
+##### 2.2 ONNX Runtime with ROCm Execution Provider
 
 ```bash
 # pre-requisites
@@ -83,7 +83,7 @@ ValueError: Asked to use ROCMExecutionProvider as an ONNX Runtime execution prov
 
 then something is wrong with the ROCM or ONNX Runtime installation.
 
-### Use ROCM Execution Provider with ORT models
+## Use ROCM Execution Provider with ORT models
 
 For ORT models, the use is straightforward. Simply specify the `provider` argument in the `ORTModel.from_pretrained()` method. Here's an example:
 
@@ -128,6 +128,6 @@ Additionally, you can pass the session option `log_severity_level = 0` (verbose)
 ... )
 ```
 
-### Observed time gains
+## Observed time gains
 
 Coming soon!