Add distributed tests to run-readme-pr.yml (#1466)

* Add distributed tests to run-readme-pr.yml

Need to ensure this is the right runner, @lessw2020 can you please have a look -- torchchat uses the same runners as pytorch.

* Update run-docs

Remove HF login because tokens not available as git secret

* Update run-docs

Replace llama3.1 with open-llama to avoid need for token.
If this turns out running too long, then we can switch to stories110M

* Update run-docs

open-llama -> stories.

.ci/scripts/run-docs

@@ -129,7 +129,8 @@ fi
 if [ "$1" == "distributed" ]; then
 
         echo "::group::Create script to run distributed"
-        python3 torchchat/utils/scripts/updown.py --file docs/distributed.md > ./run-distributed.sh
+        python3 torchchat/utils/scripts/updown.py --file docs/distributed.md --replace 'llama3.1:stories110M,-l 3:-l 2'  --suppress huggingface-cli,HF_TOKEN  > ./run-distributed.sh
+        python3 torchchat/utils/scripts/updown.py --file docs/distributed.md --suppress huggingface-cli,HF_TOKEN > ./run-distributed.sh
         # for good measure, if something happened to updown processor,
         # and it did not error out, fail with an exit 1
         echo "exit 1" >> ./run-distributed.sh

.github/workflows/run-readme-pr.yml

@@ -306,3 +306,25 @@ jobs:
         echo "::endgroup::"
 
         TORCHCHAT_DEVICE=cpu .ci/scripts/run-docs native
+
+  test-distributed-cuda:
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    with:
+      runner: linux.g5.4xlarge.nvidia.gpu
+      gpu-arch-type: cuda
+      gpu-arch-version: "12.4"
+      timeout: 60
+      script: |
+        echo "::group::Print machine info"
+        uname -a
+        echo "::endgroup::"
+
+        .ci/scripts/run-docs distributed
+
+        echo "::group::Completion"
+        echo "tests complete"
+        echo "*******************************************"
+        echo "::endgroup::"