org.jetbrains.kotlin.codegen.optimization.OptimizationMethodVisitor.kt Maven / Gradle / Ivy

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/*
 * Copyright 2010-2015 JetBrains s.r.o.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.jetbrains.kotlin.codegen.optimization

import org.jetbrains.kotlin.codegen.TransformationMethodVisitor
import org.jetbrains.kotlin.codegen.optimization.boxing.FastPopBackwardPropagationTransformer
import org.jetbrains.kotlin.codegen.optimization.boxing.RedundantBoxingMethodTransformer
import org.jetbrains.kotlin.codegen.optimization.boxing.PopBackwardPropagationTransformer
import org.jetbrains.kotlin.codegen.optimization.common.prepareForEmitting
import org.jetbrains.kotlin.codegen.optimization.nullCheck.RedundantNullCheckMethodTransformer
import org.jetbrains.kotlin.codegen.optimization.transformer.CompositeMethodTransformer
import org.jetbrains.org.objectweb.asm.MethodVisitor
import org.jetbrains.org.objectweb.asm.tree.MethodNode

class OptimizationMethodVisitor(
        delegate: MethodVisitor,
        private val disableOptimization: Boolean,
        access: Int,
        name: String,
        desc: String,
        signature: String?,
        exceptions: Array?
) : TransformationMethodVisitor(delegate, access, name, desc, signature, exceptions) {

    override fun performTransformations(methodNode: MethodNode) {
        MANDATORY_METHOD_TRANSFORMER.transform("fake", methodNode)
        if (canBeOptimized(methodNode) && !disableOptimization) {
            OPTIMIZATION_TRANSFORMER.transform("fake", methodNode)
        }
        methodNode.prepareForEmitting()
    }

    companion object {
        private val MEMORY_LIMIT_BY_METHOD_MB = 50

        private val MANDATORY_METHOD_TRANSFORMER = FixStackWithLabelNormalizationMethodTransformer()

        private val OPTIMIZATION_TRANSFORMER = CompositeMethodTransformer(
                CapturedVarsOptimizationMethodTransformer(),
                RedundantNullCheckMethodTransformer(),
                RedundantCheckCastEliminationMethodTransformer(),
                ConstantConditionEliminationMethodTransformer(),
                RedundantBoxingMethodTransformer(),
                FastPopBackwardPropagationTransformer(),
                PopBackwardPropagationTransformer(),
                DeadCodeEliminationMethodTransformer(),
                RedundantGotoMethodTransformer(),
                RedundantNopsCleanupMethodTransformer()
        )

        fun canBeOptimized(node: MethodNode): Boolean {
            val totalFramesSizeMb = node.instructions.size() * (node.maxLocals + node.maxStack) / (1024 * 1024)
            return totalFramesSizeMb < MEMORY_LIMIT_BY_METHOD_MB
        }

        fun canBeOptimizedUsingSourceInterpreter(node: MethodNode): Boolean {
            val frameSize = node.maxLocals + node.maxStack
            val methodSize = node.instructions.size().toLong()
            val totalFramesSizeMb = methodSize * methodSize * frameSize / (1024 * 1024)
            return totalFramesSizeMb < MEMORY_LIMIT_BY_METHOD_MB
        }
    }
}