Updated the correct link to Nvidia-docker support installation. Earlier it is re-directing to archived repo.

PiperOrigin-RevId: 726073729

Author: tensorflower-gardener

site/en/install/docker.md

@@ -18,7 +18,7 @@ be installed).
 
 1. [Install Docker](https://docs.docker.com/install/) on
    your local *host* machine.
-2. For GPU support on Linux, [install NVIDIA Docker support](https://github.com/NVIDIA/nvidia-docker).
+2. For GPU support on Linux, [install NVIDIA Docker support](https://github.com/NVIDIA/nvidia-container-toolkit).
    * Take note of your Docker version with `docker -v`. Versions __earlier than__ 19.03 require nvidia-docker2 and the `--runtime=nvidia` flag. On versions __including and after__ 19.03, you will use the `nvidia-container-toolkit` package and the `--gpus all` flag. Both options are documented on the page linked above.
 
 Note: To run the `docker` command without `sudo`, create the `docker` group and

tools/tensorflow_docs/tools/nblint/style/google.py

@@ -65,7 +65,7 @@ def inclusive_language(args):
   found_words = search_wordlist(_INCLUSIVE_WORDLIST, args["cell_source"])
   if found_words:
     words = ", ".join([f"{word} => {alt}" for word, alt in found_words.items()])
-    fail(f"Use inclusive language where possible and accurate. Found: {words} in {args['cell_source']}")
+    fail(f"Use inclusive language where possible and accurate. Found: {words}")
   else:
     return True
 
@@ -82,6 +82,6 @@ def second_person(args):
   found_words = search_wordlist(_SECOND_PERSON_WORDLIST, args["cell_source"])
   if found_words:
     words = ", ".join([f"{word} => {alt}" for word, alt in found_words.items()])
-    fail(f"Prefer second person instead of first person. Found: {words} in {args['cell_source']}")
+    fail(f"Prefer second person instead of first person. Found: {words}")
   else:
     return True