Link Fixes (#857)

Summary:
Pull Request resolved: #857

fixing a couple of the links from the docs

Reviewed By: kirklandsign

Differential Revision: D50199955

fbshipit-source-id: 6e7e75da3c963cb31b1a494e8532da2ce60e7d75

Author: mcr229

docs/source/native-delegates-executorch-xnnpack-delegate.md

@@ -154,5 +154,5 @@ def _qdq_quantized_linear(
 You can read more indepth explanations on PyTorch 2 quantization [here](https://pytorch.org/tutorials/prototype/pt2e_quant_ptq.html).
 
 ## See Also
-- [Integrating XNNPACK Delegate Android App](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/ExecuTorchDemo/README.md)
+- [Integrating XNNPACK Delegate Android App](demo-apps-android.md)
 - [Complete the Lowering to XNNPACK Tutorial](tutorial-xnnpack-delegate-lowering.md)

docs/source/tutorial-xnnpack-delegate-lowering.md

@@ -122,4 +122,4 @@ buck2 run examples/backend:xnn_executor_runner -- --model_path ./mv2_xnnpack_qs8
 ```
 
 ## Building and Linking with the XNNPACK Backend
-You can build the XNNPACK backend [target](https://github.com/pytorch/executorch/blob/main/backends/xnnpack/targets.bzl#L54), and link it with your application binary such as an Android or iOS application. For more information on this you may take a look at this [resource](runtime-backend-delegate-implementation-and-linking.md) next.
+You can build the XNNPACK backend [target](https://github.com/pytorch/executorch/blob/main/backends/xnnpack/targets.bzl#L54), and link it with your application binary such as an Android or iOS application. For more information on this you may take a look at this [resource](demo-apps-android.md) next.