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package org.graalvm.compiler.lir.amd64;

import static jdk.vm.ci.amd64.AMD64.xmm0;
import static jdk.vm.ci.amd64.AMD64.xmm1;
import static org.graalvm.compiler.lir.amd64.AMD64HotSpotHelper.registersToValues;

import org.graalvm.compiler.core.common.LIRKind;
import org.graalvm.compiler.lir.LIRInstructionClass;
import org.graalvm.compiler.lir.Variable;
import org.graalvm.compiler.lir.gen.LIRGenerator;

import jdk.vm.ci.amd64.AMD64Kind;
import jdk.vm.ci.code.Register;
import jdk.vm.ci.code.RegisterValue;
import jdk.vm.ci.meta.Value;

AMD64MathIntrinsicBinaryOp assumes that the input values are stored in the xmm0 and xmm1 registers, and it will emit the output value into the xmm0 register. emitLIRWrapper(LIRGenerator, Value, Value) is provided for emitting necessary mov LIRs before and after this LIR instruction.
/** * AMD64MathIntrinsicBinaryOp assumes that the input values are stored in the xmm0 and xmm1 * registers, and it will emit the output value into the xmm0 register. * {@link #emitLIRWrapper(LIRGenerator, Value, Value)} is provided for emitting necessary mov LIRs * before and after this LIR instruction. */
public abstract class AMD64MathIntrinsicBinaryOp extends AMD64LIRInstruction { @Def protected Value output; @Use protected Value input0; @Use protected Value input1; @Temp protected Value[] temps; public AMD64MathIntrinsicBinaryOp(LIRInstructionClass<? extends AMD64MathIntrinsicBinaryOp> type, Register... registers) { super(type); input0 = xmm0.asValue(LIRKind.value(AMD64Kind.DOUBLE)); input1 = xmm1.asValue(LIRKind.value(AMD64Kind.DOUBLE)); output = xmm0.asValue(LIRKind.value(AMD64Kind.DOUBLE)); temps = registersToValues(registers); } public final Variable emitLIRWrapper(LIRGenerator gen, Value x, Value y) { LIRKind kind = LIRKind.combine(x, y); RegisterValue xmm0Value = xmm0.asValue(kind); gen.emitMove(xmm0Value, x); RegisterValue xmm1Value = xmm1.asValue(kind); gen.emitMove(xmm1Value, y); gen.append(this); Variable result = gen.newVariable(kind); gen.emitMove(result, xmm0Value); return result; } }