auto value_type = mlir::cast<mlir::TensorType>(op.getValues().getType());
  auto key_type = mlir::cast<mlir::TensorType>(op.getKeys().getType());

  int64_t output_size = InferTensorSize(context, value_type);

  int64_t cost = kLookupTableFindCostScale * output_size;

  if (mlir::isa<mlir::TF::StringType>(key_type.getElementType()))
    cost *= kLookupTableFindStringKeyCostScale;

  return cost;
}

  }
  if (refined_shape || lhs_element_type != lhs_shape_type.getElementType()) {
    Type new_type;
    if (!lhs_shape_type.hasRank() && !rhs_shape_type.hasRank())
      new_type = UnrankedTensorType::get(lhs_element_type);
    else
      new_type = lhs_shape_type.clone(shape, lhs_element_type);
    DCOMMENT("Refined to: " << new_type);
    return new_type;
  }
  DCOMMENT("No refinement " << lhs);
  return lhs;
}

                 const char* raw_device_name = nullptr);

// Returns the shape of a tensor.
Status Shape(AbstractContext* ctx, AbstractTensorHandle* const input,
             AbstractTensorHandle** output, DataType out_type = DT_INT32,
             const char* name = nullptr, const char* raw_device_name = nullptr);

// Inserts a dimension of 1 into a tensor's shape.
Status ExpandDims(AbstractContext* ctx, AbstractTensorHandle* const input,

		base.ErrorfAt(pos, 0, "internal/abi.FuncPC%s does not accept func expression, which is ABIInternal", wantABI)
	}
	var e Node = NewUnaryExpr(pos, OIDATA, n)
	e.SetType(types.Types[types.TUINTPTR].PtrTo())
	e.SetTypecheck(1)
	e = NewStarExpr(pos, e)
	e.SetType(types.Types[types.TUINTPTR])
	e.SetTypecheck(1)
	return e
}

// DeclareParams creates Names for all of the parameters in fn's

        addn.getSum().setType(
            mlir::cast<TensorType>(addn.getOperand(0).getType()));
        auto size = it->getSecond();
        (*buffer_to_size)[addn.getSum()] = size;
      }
    } else if (auto zeros = llvm::dyn_cast<TF::ZerosLikeOp>(&op)) {
      if (buffer_to_size->count(zeros.getX()) > 0) {
        zeros.getY().setType(zeros.getX().getType());
        auto size = (*buffer_to_size)[zeros.getX()];

		sb.SetType(sym.SMACHOPLT)
		sb.SetReachable(true)

		s = ctxt.loader.LookupOrCreateSym(".got", 0) // will be __nl_symbol_ptr
		sb = ctxt.loader.MakeSymbolUpdater(s)
		sb.SetType(sym.SMACHOGOT)
		sb.SetReachable(true)
		sb.SetAlign(4)

		s = ctxt.loader.LookupOrCreateSym(".linkedit.plt", 0) // indirect table for .plt
		sb = ctxt.loader.MakeSymbolUpdater(s)
		sb.SetType(sym.SMACHOINDIRECTPLT)

      xla::ClientLibrary::GetOrCreateCompileOnlyClient(platform).value();

  std::vector<TensorShape> arg_shapes = {{1}};
  TPUCompileMetadataProto metadata_proto;
  auto arg = metadata_proto.add_args();
  arg->set_dtype(DataType::DT_FLOAT);
  arg->set_kind(TPUCompileMetadataProto::Arg::PARAMETER);
  metadata_proto.add_retvals();
  bool use_tuple_args = true;
  std::vector<ShardingAndIndex> arg_core_mapping;

        ComponentDependency cd = new ComponentDependency();

        cd.setArtifactId(extractArtifactId(d));

        cd.setGroupId(extractGroupId(d));

        cd.setType(d.getChild("type").getValue());

        cd.setVersion(extractVersion(d));
        return cd;
    }

    @SuppressWarnings("checkstyle:methodlength")

			// loader symbols, in order to reduce memory consumption. This
			// would require changes to genelfsym so that it called
			// putelfsym and putelfsyment as appropriate.
			sb := ldr.MakeSymbolBuilder(fakeLabelName)
			sb.SetType(sym.STEXT)
			sb.SetValue(ldr.SymValue(s) + int64(r.Off()))
			sb.SetLocal(true)
			sb.SetReachable(true)
			sb.SetVisibilityHidden(true)
			sb.SetSect(ldr.SymSect(s))
			if outer := ldr.OuterSym(s); outer != 0 {

	types.SetType(sym.STYPE)
	types.SetSize(8)
	ldr.SetAttrSpecial(types.Sym(), false)

	etypes := ldr.CreateSymForUpdate("runtime.etypes", 0)
	etypes.SetType(sym.SFUNCTAB)
	ldr.SetAttrSpecial(etypes.Sym(), false)

	if ctxt.HeadType == objabi.Haix {
		rodata := ldr.CreateSymForUpdate("runtime.rodata", 0)
		rodata.SetType(sym.SSTRING)
		rodata.SetSize(8)