Add PyTorch inference benchmark Docker guide (+ CLIP and Chai-1) (#4654)

* update vLLM links in deploy-your-model.rst

* add pytorch inference benchmark doc

* update toc and vLLM title

* remove previous versions

* update

* wording

* fix link and "applies to"

* add pytorch to wordlist

* add tunableop note to clip

* make tunableop note appear to all models

* Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* fix incorrect links

* wording

* fix wrong docker pull tag

---------

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit c3faa9670b)

docs/data/how-to/rocm-for-ai/inference/pytorch-inference-benchmark-models.yaml

@@ -0,0 +1,25 @@
+pytorch_inference_benchmark:
+  unified_docker:
+    latest: &rocm-pytorch-docker-latest
+      pull_tag: rocm/pytorch:latest
+      docker_hub_url:
+      rocm_version:
+      pytorch_version:
+      hipblaslt_version:
+  model_groups:
+    - group: CLIP
+      tag: clip
+      models:
+      - model: CLIP
+        mad_tag: pyt_clip_inference
+        model_repo: laion/CLIP-ViT-B-32-laion2B-s34B-b79K
+        url: https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K
+        precision: float16
+    - group: Chai-1
+      tag: chai
+      models:
+      - model: Chai-1
+        mad_tag: pyt_chai1_inference
+        model_repo: meta-llama/Llama-3.1-8B-Instruct
+        url: https://huggingface.co/chaidiscovery/chai-1
+        precision: float16