fix: repair Dockerfile for ROCm

With these changes, the Docker image can be built and executed
successfully on hosts with AMD devices with ROCm acceleration.
Previously, a ROCm-enabled version of torch would be installed, but
later removed during installation of InvokeAI itself. This was caused by
InvokeAI needing a newer torch version than was previously installed.

The fix consists of multiple components:
* Update the hardcoded versions of torch and torchvision to the versions
  currently used in pyproject.toml, so that a new version need not be
  installed during installation of InvokeAI.
* Specify --extra-index-url on installation of InvokeAI so that even if
  a verison mismatch occurs, the correct torch version should still be
  installed. This also necessitates changing --index-url to
  --extra-index-url for the Torch repo. Otherwise non-torch dependencies
  would not be found.
* In run.sh, build the image for the selected service.

docker/run.sh

@@ -21,7 +21,7 @@ run() {
     printf "%s\n" "$build_args"
   fi
 
-  docker compose build $build_args
+  docker compose build $build_args $service_name
   unset build_args
 
   printf "%s\n" "starting service $service_name"