%0 = "tfl.pseudo_const" () {value = dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32>} : () -> tensor<3x2xi32> loc("Const")
  %1 = "tfl.sub" (%arg0, %0) {fused_activation_function = "RELU6"} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32> loc("sub")
  %2 = "arith.constant" () {value = dense<10> : tensor<i32>} : () -> tensor<i32> loc("Const2")

			case Int:
				var s = uint(sizeof(typ)) * 8
				return int64(-1)<<(s-1) <= x && x <= int64(1)<<(s-1)-1
			case Int8:
				const s = 8
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int16:
				const s = 16
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int32:
				const s = 32
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int64, UntypedInt:
				return true
			case Uint, Uintptr:

			case Int:
				var s = uint(sizeof(typ)) * 8
				return int64(-1)<<(s-1) <= x && x <= int64(1)<<(s-1)-1
			case Int8:
				const s = 8
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int16:
				const s = 16
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int32:
				const s = 32
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int64, UntypedInt:
				return true
			case Uint, Uintptr:

	// Setup a filter
	crd := t.(*metav1.PartialObjectMetadata)
	mv, f := minimumCRDVersions[crd.Name]
	if !f {
		return true
	}
	bv, f := crd.Annotations[consts.BundleVersionAnnotation]
	if !f {
		log.Errorf("CRD %v expected to have a %v annotation, but none found; ignoring", crd.Name, consts.BundleVersion)
		return false
	}
	fv, err := semver.NewVersion(bv)
	if err != nil {

namespace tac {
namespace {

// This pass is used to fold tfl.const ops to each subgraph (func::FuncOp):
// See the example below:
//
// In main:
// %0 = tfl.const...
// %1 = tfl.const...
// %2 = call func_1(..., %0,...)
// %3 = call func_2(..., %0, ..., %1...)
// ...
//
// Then those consts will be copied into each function and replace their usage.
// func_1:
//   %0 = tfl.const...
// func_2:
//   %0 = tfl.const...

	VREV64	V14.B16, V14.B16
	VREV64	V15.B16, V15.B16
	VREV64	V16.B16, V16.B16
	VREV64	V17.B16, V17.B16
	VREV64	V18.B16, V18.B16
	VREV64	V19.B16, V19.B16

	MOVD	R3, R4
	// load first 4 round consts in V20-V23
	VLD1.P	64(R4), [V20.D2, V21.D2, V22.D2, V23.D2]

	SHA512ROUND(V0, V1, V2, V3, V4, V20, V24, V12, V13, V19, V16, V17)
	SHA512ROUND(V3, V0, V4, V2, V1, V21, V25, V13, V14, V12, V17, V18)

DATA consts<>+0x48(SB)/8, $0x0102030005060704
DATA consts<>+0x50(SB)/8, $0x6170786561707865
DATA consts<>+0x58(SB)/8, $0x6170786561707865
DATA consts<>+0x60(SB)/8, $0x3320646e3320646e
DATA consts<>+0x68(SB)/8, $0x3320646e3320646e
DATA consts<>+0x70(SB)/8, $0x79622d3279622d32
DATA consts<>+0x78(SB)/8, $0x79622d3279622d32
DATA consts<>+0x80(SB)/8, $0x6b2065746b206574
DATA consts<>+0x88(SB)/8, $0x6b2065746b206574

}

Status ClientSession::Run(
    const RunOptions& run_options, const FeedType& inputs,
    const std::vector<Output>& fetch_outputs,
    const std::vector<Operation>& run_outputs, std::vector<Tensor>* outputs,
    RunMetadata* run_metadata,
    const thread::ThreadPoolOptions& threadpool_options) const {
  std::vector<std::pair<string, Tensor>> feeds;
  for (auto const& feed : inputs) {

}

const std::vector<ArgView>& OpView::Inputs() const { return input_args_; }

const std::vector<ArgView>& OpView::Outputs() const { return output_args_; }

const std::vector<AttrView>& OpView::Attributes() const {
  return argument_attrs_;
}

const std::vector<OpArgumentView>& OpView::AllArguments() const {
  return all_arguments_;
}

// arguments that are on parameter servers
bool HasPsWithResourceVariable(const Graph& graph) {
  // Check parameter serverjobs and resource variable arguments that are
  // on parameter servers.
  const std::string jobType = "ps";
  const std::string nodeType = "_Arg";
  const std::string attrKey = "T";
  for (const Node* node : graph.nodes()) {
    if (node->type_string() == nodeType) {