ta.getDtype(), builder, &buffer))) {
    return failure();
  }
  auto var_type = RankedTensorType::get(
      {}, TF::ResourceType::get(
              ArrayRef<TensorType>{buffer.getType().cast<TensorType>()},
              ta.getContext()));
  auto local_var = builder.create<TF::MlirLocalVarOp>(

                                    .getElementType()
                                    .cast<TF::ResourceType>()
                                    .getSubtypes()))
      return false;

  return true;
}

Type GetResourceSubtype(Type type) {
  return type.cast<TensorType>()
      .getElementType()
      .cast<TF::ResourceType>()
      .getSubtypes()
      .front();
}

Type GetResourceSubtype(Value resource) {

        for (final Iterator<URL> it = ClassLoaderUtil.getResources(baseName); it.hasNext();) {
            final URL url = it.next();
            final Traverser resourcesType = getTraverser(url, rootPackage, baseName);
            if (resourcesType != null) {
                list.add(resourcesType);
            }
        }
        if (list.isEmpty()) {
            logger.log("WCL0014", rootPackage);
            return EMPTY_ARRAY;
        }

  for (auto index_and_arg : llvm::enumerate(execute.getArgs())) {
    auto arg = SkipIdentity(index_and_arg.value(), /*allow_other_use=*/false);
    if (!arg.hasOneUse() ||
        !mlir::isa<TF::ResourceType>(getElementTypeOrSelf(arg.getType()))) {
      continue;
    }
    auto block_arg = mlir::dyn_cast<BlockArgument>(arg);
    if (!block_arg || block_arg.getOwner() != &replicate.GetBody()) continue;

	gomaxprocs                   uint64
	frameTree                    frameNode
	frameSeq                     int
	arrowSeq                     uint64
	filter                       func(uint64) bool
	resourceType                 string
	resources                    map[uint64]string
	focusResource                uint64
	tasks                        map[uint64]task
	asyncSliceSeq                uint64
}

	return diag.NewMessage(
		ImageAutoWithoutInjectionWarning,
		r,
		resourceType,
		resourceName,
	)
}

// NewImageAutoWithoutInjectionError returns a new diag.Message based on ImageAutoWithoutInjectionError.
func NewImageAutoWithoutInjectionError(r *resource.Instance, resourceType string, resourceName string) diag.Message {

	// Fetch the appropriate cluster's secret, based on the credential type
	var secretController credscontroller.Controller
	switch sr.ResourceType {
	case credentials.KubernetesGatewaySecretType:
		secretController = configClusterSecrets
	default:
		secretController = proxyClusterSecrets
	}

      auto handle_type = mlir::cast<TensorType>(handle.getType());
      if (handle_type.getElementType().isInteger(/*width=*/32)) {
        Type resource_tensor_type =
            handle_type.clone(TF::ResourceType::get(rewriter.getContext()));
        handle.setType(resource_tensor_type);
      }
    }

    // Special type fixes for scalar tensor types.

	}
	switch {
	case len(args) > 2:
		b.names = append(b.names, args[1:]...)
		b.ResourceTypes(SplitResourceArgument(args[0])...)
	case len(args) == 2:
		b.names = append(b.names, args[1])
		b.ResourceTypes(SplitResourceArgument(args[0])...)
	case len(args) == 1:
		b.ResourceTypes(SplitResourceArgument(args[0])...)
		if b.labelSelector == nil && allowEmptySelector {

                                                const Type target,
                                                const int axis) {
  const auto source_type = dyn_cast_or_null<ShapedType>(source.getValue());
  if (!source_type) return {};
  const auto src_ele_type = source_type.getElementType();
  auto qtype = dyn_cast<quant::QuantizedType>(src_ele_type);

  // Reset the quantization dimensions if it is per-axis.