Docker aarch

kubernetes/kserve/build_image.sh

@@ -66,5 +66,5 @@ cp -r ../../third_party .
 if [ "${MULTI}" == "true" ]; then
   DOCKER_BUILDKIT=1 docker buildx build --file "$DOCKER_FILE" --build-arg BASE_IMAGE=$BASE_IMAGE --platform "${ARCH}" -t "$DOCKER_TAG" --push .
 else
-  DOCKER_BUILDKIT=1 docker buildx build --file "$DOCKER_FILE" --build-arg BASE_IMAGE=$BASE_IMAGE -t "$DOCKER_TAG" --load .
+  DOCKER_BUILDKIT=1 docker buildx build --file "$DOCKER_FILE" --build-arg BASE_IMAGE=$BASE_IMAGE -t "$DOCKER_TAG" --push .
 fi

kubernetes/kserve/build_upload_release.py

@@ -39,11 +39,6 @@
         dry_run,
     )
 
-    for image in [
-        f"{organization}/torchserve-kfs:{check_ts_version()}-gpu",
-    ]:
-        try_and_handle(f"docker push {image}", dry_run)
-
     # Cleanup built images
     if args.cleanup:
         try_and_handle(f"docker system prune --all --volumes -f", dry_run)

kubernetes/kserve/docker_nightly.py

@@ -43,22 +43,17 @@
         dry_run,
     )
 
-    # Push Nightly images to official PyTorch Dockerhub account
-    try_and_handle(f"docker push {organization}/{gpu_version}", dry_run)
-
     # Tag nightly images with latest
     try_and_handle(
         f"docker buildx imagetools create --tag {organization}/{project}:latest-cpu {organization}/{cpu_version}",
         dry_run,
     )
+
     try_and_handle(
-        f"docker tag {organization}/{gpu_version} {organization}/{project}:latest-gpu",
+        f"docker buildx imagetools create --tag {organization}/{project}:latest-gpu {organization}/{gpu_version}",
         dry_run,
     )
 
-    # Push images with latest tag
-    try_and_handle(f"docker push {organization}/{project}:latest-gpu", dry_run)
-
     # Cleanup built images
     if args.cleanup:
         try_and_handle(f"docker system prune --all --volumes -f", dry_run)