[3rdparty, document] Add 3rdparty/amd, with profiling and tuning instructions to be added (#1822)

3rdparty/amd/profiling/PROFILING.md

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+## Profiling SGLang Infer System with AMD GPUs
+This AppNote describes the SGLang profiling technical, code augment and running steps for systems with AMD Instinct GPUs, nevertheless the same procedure may work with Nvidia GPUs too.
+Examples and steps are provided in detail, to facilitate easy reproduce and use to localize performance problem towards optimizations.
+Two primary methods are covered:
+- [RPD](https://github.com/ROCm/rocmProfileData.git)
+
+
+- [Torch Profiler](https://pytorch.org/tutorials/recipes/recipes/profiler_recipe.html)
+
+

3rdparty/amd/tuning/TUNING.md

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+## Tuning SGLang Infer System with AMD GPUs
+This AppNote describes the SGLang performance tuning technical, code harness and running steps for systems with AMD Instinct GPUs.
+Harness code, examples and steps are provided in detail, to facilitate easy reproduce & use to tune performance towards workloads.
+Three primary runtime areas are covered:
+- Triton Kernels
+
+
+- Torch Tunable Ops 
+
+
+- Torch Compile
+
+