rel := obj.Addrel(c.cursym)
		rel.Off = int32(c.pc)
		rel.Siz = 4
		rel.Sym = p.To.Sym
		rel.Add = p.To.Offset
		rel.Type = objabi.R_ADDRMIPSU
		o2 = OP_IRR(c.opirr(p.As), 0, REGTMP, p.From.Reg)
		rel2 := obj.Addrel(c.cursym)
		rel2.Off = int32(c.pc + 4)
		rel2.Siz = 4
		rel2.Sym = p.To.Sym
		rel2.Add = p.To.Offset
		rel2.Type = objabi.R_ADDRMIPS

		rel := obj.Addrel(c.cursym)
		rel.Off = int32(c.pc)
		rel.Siz = 4
		rel.Sym = p.To.Sym
		rel.Add = p.To.Offset
		rel.Type = objabi.R_LOONG64_TLS_LE_HI
		o2 = OP_12IRR(c.opirr(AOR), uint32(0), uint32(REGTMP), uint32(REGTMP))
		rel2 := obj.Addrel(c.cursym)
		rel2.Off = int32(c.pc + 4)
		rel2.Siz = 4
		rel2.Sym = p.To.Sym
		rel2.Add = p.To.Offset

		if elfRelType == ".rela" {
			rela := ldr.LookupOrCreateSym(".rela", 0)
			elfWriteDynEntSym(ctxt, dynamic, elf.DT_RELA, rela)
			elfwritedynentsymsize(ctxt, dynamic, elf.DT_RELASZ, rela)
			Elfwritedynent(ctxt.Arch, dynamic, elf.DT_RELAENT, ELF64RELASIZE)
		} else {
			rel := ldr.LookupOrCreateSym(".rel", 0)
			elfWriteDynEntSym(ctxt, dynamic, elf.DT_REL, rel)

    %0 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU6", tac.device = "GPU", tac.inference_type = "FLOAT"} : tensor<1xf32>
    %1 = tfl.mul %0, %arg2 {fused_activation_function = "RELU6", tac.device = "GPU", tac.inference_type = "FLOAT"} : tensor<1xf32>
    func.return %1 : tensor<1xf32>
  }

  // CHECK: _arithmetic_count = 230686720 : i64
  %0 = "tfl.conv_2d"(%arg0, %arg1, %arg2) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32, fused_activation_function = "RELU6"} : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32>
  func.return %0 : tensor<256x32x32x16xf32>
}

	for i, test := range tests {
		iself := len(test.rel) != 0
		buildcfg.GOARCH = test.arch.Name
		ctxt := setUpContext(test.arch, iself, test.ht, test.bm, test.lm)
		foo := ctxt.loader.CreateSymForUpdate("foo", 0)
		ctxt.loader.CreateExtSym("bar", 0)
		AddGotSym(&ctxt.Target, ctxt.loader, &ctxt.ArchSyms, foo.Sym(), 0)

		if iself {
			rel := ctxt.loader.Lookup(test.rel, 0)
			if rel == 0 {

namespace mlir {
namespace odml {
namespace {

// TODO - b/330337238: Surface these to other files when needed.
constexpr llvm::StringLiteral kCompositeNamespace = "odml.internal";
constexpr llvm::StringLiteral kGelu = "gelu";

std::string MakeCompositeName(llvm::StringRef op_name) {
  return (kCompositeNamespace + "." + op_name).str();
}

#define GEN_PASS_DEF_OUTLINECOMPOSITESPASS

					symIdx = int(info >> 32)
				}
				p = p[8:]
				if rela != 0 {
					add = e.Uint64(p)
					p = p[8:]
				}
			} else {
				// 32-bit rel/rela
				rOff = int32(e.Uint32(p))

				p = p[4:]
				info := e.Uint32(p)
				relocType = uint64(info & 0xff)
				symIdx = int(info >> 8)
				p = p[4:]
				if rela != 0 {
					add = uint64(e.Uint32(p))
					p = p[4:]
				}
			}

  %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6",  per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
  %1 = "tfl.mul"(%0, %arg2) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

        configureProject().assertBuildScriptBodyRecompiled().assertOutputContains("bar")
    }

    @Test
    @UnsupportedWithConfigurationCache(because = "test rely on configuration phase output")
    fun `avoids buildscript recompilation on included build JAR rebuild`() {

        withDefaultSettingsIn("build-logic")
            .appendText("""rootProject.name = "build-logic"""")