}

  func::FuncOp func = module_for_func->lookupSymbol<func::FuncOp>("host_func");
  if (!func)
    return op.emitError()
           << "serialized module in attribute 'host_mlir_module' does not "
              "contain 'host_func' function.";

  if (op->getNumOperands() != func.getFunctionType().getNumInputs())
    return op.emitError()
           << "'host_func' has " << func.getFunctionType().getNumInputs()

		}
		if err := rsa.VerifyPKCS1v15(pubKey, hashFunc, signed, sig); err != nil {
			return err
		}
	case signatureRSAPSS:
		pubKey, ok := pubkey.(*rsa.PublicKey)
		if !ok {
			return fmt.Errorf("expected an RSA public key, got %T", pubkey)
		}
		signOpts := &rsa.PSSOptions{SaltLength: rsa.PSSSaltLengthEqualsHash}
		if err := rsa.VerifyPSS(pubKey, hashFunc, signed, sig, signOpts); err != nil {
			return err
		}

const funcValueOffset = 0x1000 // TODO(neelance): make function addresses play nice with heap addresses

func gentext(ctxt *ld.Link, ldr *loader.Loader) {
}

type wasmFunc struct {
	Module string
	Name   string
	Type   uint32
	Code   []byte
}

type wasmFuncType struct {
	Params  []byte
	Results []byte
}

  // CHECK-SAME: recv_key = "host_compute_channel_recv"
  // CHECK-SAME: send_key = "host_compute_channel_send"
  // CHECK-SAME: shape_inference_graph = @host_func
  // CHECK-SAME: shapes = [#tf_type.shape<*>, #tf_type.shape<3x?>]
  // CHECK-SAME: tpu_core = 0 : i64
  // CHECK: func @host_func
  // CHECK: %[[RECV_OUTPUT:[0-9]*]]:2 = "tf._XlaRecvAtHost"
  // CHECK-SAME: key = "host_compute_channel_send"

// Package startlinetest contains helpers for runtime_test.TestStartLineAsm.
package startlinetest

// Defined in func_amd64.s, this is a trivial assembly function that calls
// runtime_test.callerStartLine.
func AsmFunc() int

// Provided by runtime_test.

// copies of this function.
func TestStartLineAsm(t *testing.T) {
	startlinetest.CallerStartLine = callerStartLine

	const wantLine = 23
	got := startlinetest.AsmFunc()
	if got != wantLine {
		t.Errorf("start line got %d want %d", got, wantLine)
	}

	retRegs []string
	// calculated during initialization
	sizes    types.Sizes
	intSize  int
	ptrSize  int
	maxAlign int
}

// An asmFunc describes the expected variables for a function on a given architecture.
type asmFunc struct {
	arch        *asmArch
	size        int // size of all arguments
	vars        map[string]*asmVar
	varByOffset map[int]*asmVar
}

//
// Thus it is simpler to just put this in its own package, imported only by
// runtime_test. We use ABIInternal as no ABI wrapper is generated for
// callerStartLine since it is in a different package.

TEXT	·AsmFunc<ABIInternal>(SB),NOSPLIT,$8-0
	NO_LOCAL_POINTERS
	MOVQ	$0, AX // wantInlined
	MOVQ	·CallerStartLine(SB), DX
	CALL	(DX)

func prf12(hashFunc func() hash.Hash) func(result, secret, label, seed []byte) {
	return func(result, secret, label, seed []byte) {
		labelAndSeed := make([]byte, len(label)+len(seed))
		copy(labelAndSeed, label)
		copy(labelAndSeed[len(label):], seed)

		pHash(result, secret, labelAndSeed, hashFunc)
	}
}

const (

 %1965:4 = "tf._XlaHostComputeMlir"(%0, %cst_34, %cst_63, %cst_33) <{host_mlir_module = "#loc1 = loc(\22Reshape:\22)\0A#loc2 = loc(\22Reshape_4\22)\0A#loc3 = loc(\22Reshape\22)\0A#loc9 = loc(fused[#loc1, #loc2, #loc3])\0Amodule {\0A  func.func @host_func(%arg0: tensor<3360x?xi32> loc(fused[#loc1, #loc2, #loc3]), %arg1: tensor<3xi32> loc(fused[#loc1, #loc2, #loc3]), %arg2: tensor<i32> loc(fused[#loc1, #loc2, #loc3]), %arg3: tensor<2xi32> loc(fused[#loc1, #loc2, #loc3])) -> (tensor<1x1120x?xi32>, ...